politecnico di milanoi politecnico di milano scuola di ingegneria industriale e dell’informazione...
TRANSCRIPT
i
POLITECNICO DI MILANO
Scuola di Ingegneria Industriale e dell’Informazione
Corso di Laurea in Management Engineering
THE EFFECTS THAT A SUPPLY CHAIN
SUSTAINABLE STRATEGIC FIT HAS ON TRIPLE
BOTTOM LINE PERFORMANCE: A SURVEY IN THE
WOOD AND FURNITURE INDUSTRY
Relatore: Prof.ssa Margherita Emma Paola PERO
Correlatore: Dott.ssa Federica CICCULLO
Tesi di Laurea Magistrale di:
Flavia Ricetti
Matricola 837825
Anno Accademico 2015-2016
ii
Indice Abstract Italiano ................................................................................................................................ xiv
Abstract English .................................................................................................................................. xv
Sommario .......................................................................................................................................... xvi
Introduzione ................................................................................................................................................ xvi
Analisi della Letteratura .............................................................................................................................xviii
Identificazione dei gap della Letteratura .................................................................................................... xix
Domande di ricerca .....................................................................................................................................xxii
Framework di ricerca ..................................................................................................................................xxii
Metodologia ............................................................................................................................................... xxiv
Risposta alla RQ1 ........................................................................................................................................ xxix
Risposta alla RQ2 ....................................................................................................................................... xxxii
Risposta alla RQ3 ...................................................................................................................................... xxxiv
Risposta alla RQ4 ...................................................................................................................................... xxxvi
Conclusioni .................................................................................................................................................xlvii
Implicazioni manageriali .............................................................................................................................xlix
Executive Summary .............................................................................................................................. l
Introduction .................................................................................................................................................... l
Literature review ........................................................................................................................................... lii
Literature gap identification......................................................................................................................... liii
Research questions ...................................................................................................................................... lvi
Research framework .................................................................................................................................... lvi
Methodology .............................................................................................................................................. lviii
Answer to RQ1 ........................................................................................................................................... lxiii
Answer to RQ2 ........................................................................................................................................... lxvi
Answer to RQ3 .......................................................................................................................................... lxviii
Answer to RQ4 ............................................................................................................................................ lxx
iii
Conclusions ............................................................................................................................................... lxxxi
Managerial implications .......................................................................................................................... lxxxiii
Introduction ......................................................................................................................................... 2
1 Sustainability ................................................................................................................................ 5
1.1 Sustainable Development Definition ................................................................................................. 6
1.2 The Triple Bottom Line ....................................................................................................................... 8
1.3 Criticism to the definition of Triple Bottom Line ............................................................................. 11
1.4 The social dimension of the TBL ....................................................................................................... 12
1.5 Sustainability Definition ................................................................................................................... 12
1.6 Literature inconsistencies ................................................................................................................ 14
2 Sustainability as a competitive factor ........................................................................................ 17
2.1 Introduction to the theme of sustainability as a strategic competitive factor ................................ 18
2.2 Evolution of the strategic role of Sustainability ............................................................................... 18
2.3 The change in Environmental Corporate Strategy ........................................................................... 21
2.4 Sustainability as a Strategic Competitive Factor: Order Winner, Order Qualifier ........................... 27
3 Sustainability in the Supply Chain Management ....................................................................... 33
3.1 Introduction to Sustainable Supply Chain Management ................................................................. 34
3.2 Supply Chain Management: a brief overview .................................................................................. 34
3.3 Sustainable Supply Chain Management Definition .......................................................................... 39
3.4 Drivers to the development of a Sustainable Supply Chain Management ...................................... 42
3.5 Barriers to the development of a Sustainable Supply Chain Management ..................................... 46
3.6 Implementation of a Sustainable Supply Chain (a framework of SSCM) ......................................... 47
3.7 Strategies for the development of Sustainable Supply Chain Management ................................... 49
3.8 Benefits and Drawbacks of implementing a Sustainable Supply Chain ........................................... 53
4 The Sustainability along the Furniture Supply Chain ................................................................. 55
4.1 Introduction ..................................................................................................................................... 56
4.2 The Furniture Supply Chain .............................................................................................................. 58
iv
4.3 Drivers for the integration of Sustainability in the Furniture Supply Chain ..................................... 60
4.4 Sustainable Practices along the Furniture Supply Chain .................................................................. 63
4.4.1 Green Design practices ............................................................................................................. 64
Shrivastava, 1995b ................................................................................................................................... 67
Carter and Carter, 1998; Gupta, 1995; Klassen and McLaughlin, 1993; Kriwet et al., 1995 .................... 67
4.4.2 Sustainable production practices ............................................................................................. 67
4.4.3 Sustainable Purchasing practices ............................................................................................. 73
4.4.4 Sustainable collaboration with customers ............................................................................... 78
4.4.5 Supply Chain Network Design practices ................................................................................... 80
4.4.6 Green Logistics practices .......................................................................................................... 83
4.5 Performance ..................................................................................................................................... 86
4.5.1 Environmental Performance .................................................................................................... 86
4.5.2 Social Performance................................................................................................................... 88
4.5.3 Economic Performance ............................................................................................................ 89
4.5.4 Impact of Sustainable Practices on Corporate Performance ................................................... 90
5 Research framework and methodology ..................................................................................... 94
5.1 Considerations on the Literature and gaps identification................................................................ 95
5.2 Research Questions ........................................................................................................................ 100
5.3 Research Framework ...................................................................................................................... 100
5.4 Research Methodology .................................................................................................................. 105
5.4.1 Selection of the Furniture Industry as field of analysis .......................................................... 105
5.4.2 Research Methodology: the use of the survey ...................................................................... 106
5.4.3 Development of the Survey based on the Research Framework ........................................... 108
5.4.4 Factor analysis ........................................................................................................................ 131
5.4.5 Cluster Analysis ...................................................................................................................... 134
5.4.6 ANOVA .................................................................................................................................... 137
6 Analysis of the results .............................................................................................................. 139
v
6.1 General considerations on the analyses conducted ...................................................................... 140
6.2 Analysis of the survey’s results and considerations ....................................................................... 141
6.2.1 Drivers impact on practices implementation: the survey’s results ........................................ 144
6.2.2 Sustainable practices implementation: the survey’s results.................................................. 146
6.2.3 Performance improvement: the survey’s results ................................................................... 158
6.3 Answer to RQ1 ............................................................................................................................... 161
6.4 Answer to RQ2: .............................................................................................................................. 178
6.5 Answer to RQ3: .............................................................................................................................. 189
6.6 Answer to RQ4: .............................................................................................................................. 195
6.6.1 Construction of the sustainable strategic fit matrix............................................................... 198
6.6.2 Factor analysis on performance ............................................................................................. 206
6.6.3 ANOVA analysis on the sustainable strategic fit matrix’s rows and columns ........................ 208
6.6.4 ANOVA analysis on sustainable strategic fit matrix’s cells ..................................................... 218
6.7 Considerations on the results ........................................................................................................ 229
7 Conclusions............................................................................................................................... 233
7.1 Summary of results ........................................................................................................................ 234
7.2 Managerial implications ................................................................................................................. 239
7.3 Limitations and generalizations ..................................................................................................... 240
7.4 Considerations for future research ................................................................................................ 240
8 Bibliography ............................................................................................................................. 241
9 APPENDIX ................................................................................................................................. 255
vi
vii
Indice delle figure Figure 1 - Struttura della tesi.......................................................................................................................... xvii
Figure 2 - Finding zone of strategic fit (Chopra and Meindl, 2012) ............................................................... xxi
Figure 3 - Framework di ricerca (Verderio, 2015) .......................................................................................... xxiii
Figure 4 - Nuovo framework di ricerca........................................................................................................... xxiv
Figure 5 – Fase di ricerca: invio dei questionari ..............................................................................................xxv
Figure 6 – Fasi di ricerca: Factor analysis ...................................................................................................... xxvii
Figure 7 - Fase di ricerca - Cluster analysis ................................................................................................... xxviii
Figure 8 - Fasi di ricerca: ANOVA .................................................................................................................... xxix
Figure 9 - Riassunto del modello ..................................................................................................................... xxx
Figure 10 - Passi dell'analisi per rispondere alla RQ4 ................................................................................... xxxix
Figure 11 - framework di fit strategico sostenibile ........................................................................................... xl
Figure 12 - Risultati ANOVA sulla diagonale................................................................................................... xlvi
Figure 13 - Mappa concettuale: Messaggi chiavi dell'analisi ........................................................................ xlviii
Figure 14 - Structure of the thesis ...................................................................................................................... li
Figure 15 - Finding zone of strategic fit (Chopra and Meindl, 2012) ............................................................... lv
Figure 16 - Research Framework (Verderio, 2015) ......................................................................................... lvii
Figure 17 - Research Framework.................................................................................................................... lviii
Figure 18: Research phase: questionnaire's sending ....................................................................................... lix
Figure 19 - Research phase: Factor analysis..................................................................................................... lxi
Figure 20 - Research phase: Cluster analysis .................................................................................................. lxii
Figure 21 - Research Phase - ANOVA ............................................................................................................. lxiii
Figure 22 - Model summary ........................................................................................................................... lxiv
Figure 23 - Sustainable strategic fit framework ............................................................................................ lxxiv
Figure 24 - Environmental sustainable strategic fit matrix ............................................................................ lxxv
Figure 25 - Social sustainable strategic fit matrix .......................................................................................... lxxv
Figure 26 - Results of ANOVA: matrix's diagonal ........................................................................................... lxxx
viii
Figure 27 - Conceptual map: The key messages of the analysis .................................................................. lxxxii
Figure 28 – Sustainability: the Triple Bottom Line (Craig R. Carter and Dale S. Rogers, 2008) .......................... 8
Figure 29 - More and more companies are addressing sustainability to align with their business
goals (McKinsey, 2014)..................................................................................................................................... 20
Figure 30 - Framework on the change in corporate environmental strategy .................................................. 23
Figure 31 – the Supply Chain ............................................................................................................................ 35
Figure 32 - Supply Network Structure (Sianesi & Spina, 2010) ........................................................................ 35
Figure 33 - ‘‘House of Sustainable Supply Chain, Teuteberg and Wittstruck (2010)’’ ..................................... 42
Figure 34 - Green supply management chain (Holt & Ghobadian, 2009) ........................................................ 44
Figure 35 - Sustainable supply chain Management (Craig R. Carter and Dale S. Rogers, 2008) ...................... 53
Figure 36 - Contributions of three major product categories to environmental pressures in the
EU25, based on data from the EC EIPRO study (EC, 2006). ............................................................................. 57
Figure 37 – Wood Furniture Supply Chain (DaSilva, 2010) .............................................................................. 59
Figure 38 - Theoretical framework for the influence of green practices on supply chain
performance (Azevedo et al., 2011) ................................................................................................................. 91
Figure 39 - Research Framework (Caniato et al., 2012) ................................................................................... 96
Figure 40 - Finding zone of strategic fit (Chopra and Meindl, 2012) .............................................................. 99
Figure 41 - Structured questionnaires research framework (Verderio, 2015) .............................................. 102
Figure 42 - Research Framework.................................................................................................................... 104
Figure 43 - Theory-testing survey research process (Forza, 2012) ................................................................ 107
Figure 44 - Steps of the analysis - Survey's development and sending ......................................................... 109
Figure 45 - Role of companies along the SC ................................................................................................... 115
Figure 46 - Product family selected ................................................................................................................ 116
Figure 47 - Direct customers .......................................................................................................................... 117
Figure 48 - Is the product design activity performed directly by the company? ........................................... 117
Figure 49 - production process LT .................................................................................................................. 130
Figure 50 - Suppliers' LT ................................................................................................................................. 131
Figure 51 - Steps of the analysis - factor analysis........................................................................................... 132
ix
Figure 52 - Steps involved in conducting a principal components analysis (Mooi and Sarstedt,
2011) .............................................................................................................................................................. 133
Figure 53 - Example of a path diagram (Mooi and Sarstedt, 2011) ............................................................... 134
Figure 54 -Steps of the analysis - cluster analysis .......................................................................................... 135
Figure 55 - Steps in a cluster analysis (Mooi and Sarstedt, 2011) ................................................................. 136
Figure 56 - Steps of the analysis - ANOVA analysis ........................................................................................ 137
Figure 57 - Steps in ANOVA (Mooi and Sarstedt, 2011) ................................................................................. 138
Figure 58 - Research framework .................................................................................................................... 141
Figure 59 - Threshold values for KMO and MSA (Kaiser, 1974) ..................................................................... 162
Figure 60 - Model summary (cluster analysisi) .............................................................................................. 171
Figure 61- CLuster size (cluster analysis) ........................................................................................................ 171
Figure 63 - Steps of the analysis to answer RQ4 ............................................................................................ 198
Figure 64 - Strategic fit frameowork (Chopra and Meindl, 2012) .................................................................. 199
Figure 65 - Sustainable strategic fit framework ............................................................................................. 200
Figure 66 - Mean value of label 3 vs Mean value total sample ...................................................................... 203
Figure 67 - Mean value of label 5 vs Mean value total sample ...................................................................... 204
Figure 68 - Mean value of label 7 vs Mean value total sample ...................................................................... 204
Figure 69 - results of ANOVA Clusters 1,2,3 ................................................................................................... 211
Figure 70 - Results of ANOVA: Strategic Role of Environmental Sustainability 1,2,3 .................................... 216
Figure 71- Results of ANOVA: Strategic Role of Social Sustainability 1,2,3 ................................................... 217
Figure 72 - ANOVA PA: Diagonal Labels 1,2,3 ................................................................................................ 219
Figure 73 - ANOVA PI (E): Diagonal Labels 1,2,3 ............................................................................................ 219
Figure 74 - ANOVA PS: Diagonal Labels 1,2,3 ................................................................................................. 220
Figure 75 ANOVA PI (S): Diagonal Labels 1,2,3 .............................................................................................. 220
Figure 76 - Results of ANOVA: Diagonal Labels 1,2,3 ..................................................................................... 221
Figure 77 - Steps of the analysis ..................................................................................................................... 229
Figure 78 - Conceptual map: Main results ..................................................................................................... 238
x
Indice delle Tabelle Table 1 - Matrice dei centroidi ....................................................................................................................... xxxi
Table 2 - Matrice di fit strategico sostenibile ambientale ............................................................................... xli
Table 3 - Matrice di fit strategico sostenibile sociale ....................................................................................... xli
Table 4 - Centroids matrix ............................................................................................................................... lxv
Table 5 - Steps of the analysis to answer RQ4 .............................................................................................. lxxiii
Table 6 - Summary of Sustainability Studies (Hanan Alhaddi, 2015) ............................................................... 15
Table 7 - Comparison of Sustainability and Sustainable Development (Helena Bender, 2012) ...................... 16
Table 8 - Representative definitions of supply chain management (Payman A. et al., 2013) ......................... 38
Table 9 - Definitions of sustainable supply chain management (SSCM) (Payman Ahi and Cory,
2013) ................................................................................................................................................................ 41
Table 10 - Grouping papers according to modeling techniques (Seuring, 2013) ............................................. 51
Table 11 - A review of the drivers affecting the development of SSCM .......................................................... 62
Table 12 - Green design practices .................................................................................................................... 67
Table 13 - Sustainable production practices .................................................................................................... 73
Table 14 - Sustainable purchasing practices .................................................................................................... 78
Table 15 - Sustainable collaboration with customers ...................................................................................... 80
Table 16 - Supply Chain Network Design Practices .......................................................................................... 83
Table 17 - Green Logistics practices ................................................................................................................. 86
Table 18 - Environmental Performance ........................................................................................................... 87
Table 19 - Social Performance .......................................................................................................................... 89
Table 20 - Economic Performance ................................................................................................................... 90
Table 21 - Linkage between green practice and supply chain performance, Azevedo et al. (2011) ............... 92
Table 22 - Literature gaps............................................................................................................................... 100
Table 23 - Sustainability's interpretations ..................................................................................................... 105
Table 24 - Companies' features ...................................................................................................................... 114
xi
Table 25 – Competitive role of Social and Environmental Sustainability ...................................................... 118
Table 26 - Drivers included in the survey ....................................................................................................... 119
Table 27 - Green Design practices included in the survey ............................................................................. 121
Table 28 - Sustainable Production practices included in the survey.............................................................. 122
Table 29 - Suppliers selection and evaluation practices included in the survey ............................................ 123
Table 30 - Collaboration with suppliers’ practices included in the survey .................................................... 125
Table 31 - Collaboration with customers’ practices included in the survey .................................................. 126
Table 32 - Supply chain network design practices included in the survey ..................................................... 126
Table 33 - Green logistics practices included in the survey ........................................................................... 127
Table 34 - Performance included in the survey ............................................................................................. 129
Table 35 - Strategic role of environmental and social sustainability (overall answers) ................................. 143
Table 36 - Degree of relevance of drivers (survey's answers) ....................................................................... 145
Table 37- Green design practices (survey's results) ....................................................................................... 147
Table 38 - Sustainable production (survey's results) ..................................................................................... 149
Table 39 - Suppliers' selection and evaluation (survey's results) ................................................................... 151
Table 40 - Suppliers' collaboration (survey's results) ..................................................................................... 154
Table 41- Customers' collaboration (survey's answers) ................................................................................. 155
Table 42 - Supply chain network design (survey's results) ............................................................................ 156
Table 43 - Green logistics (survey's results) ................................................................................................... 158
Table 44 - Performance (survey's results) ...................................................................................................... 160
Table 45 - GD factor composition .................................................................................................................. 164
Table 46 - GM factor composition ................................................................................................................. 164
Table 47 - GP factor composition ................................................................................................................... 165
Table 48 - PPC factor composition ................................................................................................................. 165
Table 49 - SGM factor composition ................................................................................................................ 166
Table 50 - SGA factor composition ................................................................................................................. 167
Table 51 - GCS factor composition ................................................................................................................. 167
xii
Table 52 - SRP factor composition ................................................................................................................. 168
Table 53 - GCM factor composition ............................................................................................................... 168
Table 54 - DDN factor composition ................................................................................................................ 169
Table 55 - SP factor composition ................................................................................................................... 169
Table 56 - GL factor composition ................................................................................................................... 169
Table 57 - Centroids matrix ............................................................................................................................ 174
Table 58 - Clusters definition ......................................................................................................................... 175
Table 59 - Strategic role of environmental and social sustainability (suppliers' answers) ............................ 180
Table 60 - Strategic role of environmental and social sustainability (producers' answers) .......................... 181
Table 61 - Suppliers producers comparison: Environmental sustainability is a DA ....................................... 183
Table 62 - Suppliers producers comparison: Social sustainability is a DA ..................................................... 184
Table 63 - Suppliers producers comparison: Environmental sustainability is a MQ ...................................... 185
Table 64 - Suppliers producers comparison Social sustainability is a MQ ..................................................... 186
Table 65 - Suppliers producers comparison: Environmental sustainability is a OW...................................... 187
Table 66 - Suppliers producers comparison: Social sustainability is a OW .................................................... 188
Table 67 - RD Factor composition .................................................................................................................. 190
Table 68 - DI Factor composition ................................................................................................................... 190
Table 69 - SD Factor composition .................................................................................................................. 190
Table 70 - ANOVA RD, Clusters 1,2,3 ............................................................................................................. 192
Table 71 -ANOVA DI, Clusters 1,2,3................................................................................................................ 193
Table 72 - ANOVA SD, Clusters 1,2,3 .............................................................................................................. 193
Table 73 - Environmental sustainable strategic fit matrix ............................................................................. 201
Table 74 - Social sustainable strategic fit matrix ............................................................................................ 201
Table 75 - Zone of sustainable fit and misfit .................................................................................................. 202
Table 76 - PP Factor composition ................................................................................................................... 207
Table 77 - - PSE Factor composition .............................................................................................................. 207
Table 78 - - PA Factor composition ............................................................................................................... 207
xiii
Table 79 - PS Factor composition ................................................................................................................... 207
Table 80 - PI Factor composition ................................................................................................................... 208
Table 81 - ANOVA PA: Clusters 1,2,3 .............................................................................................................. 209
Table 82 - ANOVA PS: Clusters 1,2,3 .............................................................................................................. 209
Table 83- ANOVA PI: Clusters 1,2,3 ................................................................................................................ 209
Table 84- ANOVA PP: Clusters 1,2,3 ............................................................................................................... 210
Table 85 - ANOVA PSE: Clusters 1,2,3 ............................................................................................................ 210
Table 86- ANOVA PA: Strategic Role of Environmental Sustainability 1,2,3 .................................................. 212
Table 87 ANOVA PI: Strategic Role of Environmental Sustainability 1,2,3 .................................................... 213
Table 88-ANOVA PP: Strategic Role of Environmental Sustainability 1,2,3 ................................................... 213
Table 89 -ANOVA PSE: Strategic Role of Environmental Sustainability 1,2,3 ................................................ 213
Table 90 -ANOVA PS: Strategic Role of Social Sustainability 1,2,3 ................................................................. 214
Table 91 -ANOVA PI: Strategic Role of Social Sustainability 1,2,3.................................................................. 214
Table 92 - ANOVA PP: Strategic Role of Social Sustainability 1,2,3................................................................ 215
Table 93 - ANOVA PSE: Strategic Role of Social Sustainability 1,2,3 .............................................................. 215
Table 94 - ANOVA PA: Labels 1 - 9 ................................................................................................................. 223
Table 95 - ANOVA PI (E): Labels 1 - 9 ............................................................................................................. 224
Table 96 - ANOVA PS: Labels 1 – 9 ................................................................................................................. 227
Table 97 - ANOVA PI(S): Labels 1 - 9............................................................................................................... 227
xiv
Abstract Italiano Questo lavoro di tesi si pone come obiettivo di analizzare ed approfondire il tema della
sostenibilità lungo la supply chain. In particolare, lo studio si concentra sulla filiera legno-arredo e
su come le aziende appartenenti a questo settore si approcciano alla sostenibilità nelle sue
accezioni ambientale, sociale ed economica. Mentre fino a qualche anno fa la sostenibilità veniva
percepita come un concetto slegato dalla strategia aziendale, oggi le aziende stanno
gradualmente realizzando che essa è un vero e proprio fattore competitivo e, quando
correttamente integrata nella strategia corporate, può essere anche fonte di vantaggio
competitivo. Inoltre, precedenti studi sul tema sustainable supply chain, hanno appurato che
esiste un legame fra l’implementazione di pratiche sostenibili e il miglioramento delle
performance aziendali.
In quest’ottica, questa ricerca si pone innanzitutto di classificare le aziende, sia produttrici di
mobili che fornitori di componenti, in base alla loro abilità nell’implementare pratiche di
sostenibilità. In secondo luogo, sono stati coinvolti nell’analisi anche i driver che maggiormente
spingono le aziende ad approcciarsi alla sostenibilità. Infine, dopo aver definito il legame che
esiste fra il ruolo competitivo della sostenibilità e l’effettivo impegno che le aziende dedicano alla
realizzazione di iniziative sostenibili, si è cercato di definire l’impatto che questo legame ha sulle
performance di Triple Bottom Line.
Al fine di realizzare questo lavoro, la metodologia di ricerca utilizzata è stata l’indagine di mercato.
Pertanto, un questionario strutturato è stato sviluppato e inviato al maggior numero possibile di
aziende operanti nella filiera legno-arredo. Una volta raccolto un volume soddisfacente di
risposte, le informazioni sono state analizzate tramite un software per l’elaborazione di dati. Tre
diverse tipologie di analisi sono state condotte con il supporto di SPSS: analisi fattoriale, clustering
e ANOVA.
I risultati ottenuti mostrano che non solo le aziende possono essere classificate sulla base della
loro bravura nell’implementare pratiche sostenibili, ma ogni classe di compagnie identificata
viene influenzata in maniera diversa da driver interni ed esterni all’azienda. Inoltre, è emerso che
esiste una differenza fra produttori e fornitori per quanto riguarda le pratiche sostenibili più
implementate. Infine, è stato provato che quando il match fra la dichiarazione che le aziende
fanno del ruolo competitivo della sostenibilità e l’effettivo impegno che esse dedicano alla
realizzazione di iniziative sostenibili è rispettato nella sua condizione ottimale, le performance di
Triple Bottom Line subiscono un miglioramento.
xv
Abstract English This thesis aims to analyze and explore the theme of sustainability along the supply chain. In
particular, the study focuses on the wood and furniture industry and how companies operating in
this sector approach sustainability in its environmental, social and economic meanings. While
until a few years ago, sustainability was perceived as a concept disconnected from corporate
strategy, now companies are gradually realizing that it is a competitive factor and, when properly
integrated into corporate strategy, it can also be a source of competitive advantage. In addition,
previous studies on the sustainable supply chain topic, have found that there is a link between the
implementation of sustainable practices and the improvement of business performance.
In this light, this research has the purpose to rank companies, both furniture manufacturers and
component suppliers, based on their ability to implement sustainable practices. Secondly, drivers
that are leading companies to approach the sustainability issue, have been included in the
analysis. Finally, after having defined the link that exists between the competitive role of
sustainability and the effective commitment of companies to the implementation of sustainable
initiatives, the impact that this link has on the triple bottom line performance has been identified.
The research methodology used for this work was the survey. A structured questionnaire was
developed and sent to a large number of companies operating in the wood and furniture industry.
Once collected a satisfactory amount of responses, the information have been analyzed through a
data processing software. Three different types of analyses were performed with the SPSS’s
support: factor analysis, clustering and ANOVA.
The results show that not only companies can be categorized based on their commitmen in
implementing sustainable practices, but each identified class of companies is influenced in a
different way by internal and external drivers. In addition, it emerged that there is a difference
between producers and suppliers for what concerns the most implemented sustainable practices.
Finally, it has been proved that when the match between the competitive role of sustainability
and the actual effort that companies devote to the realization of sustainable initiatives is
respected in its optimal condition, the Triple Bottom Line performance improve.
xvi
Sommario Introduzione La crescente sensibilità delle imprese alle problematiche ambientali, la necessità di rispettare
normative sempre più frequenti, la necessità di migliorare la qualità dei prodotti e, allo stesso
tempo, di ridurre i costi di produzione, nuove opportunità di mercato, la volontà di migliorare
l'immagine aziendale e la reputazione e, infine, l’aumento delle preoccupazioni circa i
cambiamenti climatici, sono solo alcune delle variabili che stanno cimentando l'interesse delle
aziende verso il ruolo della sostenibilità nella definizione della strategia aziendale (Chiesa e Utizi,
2014). Le pressioni crescenti del mercato, causate anche dalla scarsità delle risorse naturali e
dall'aumento dell'inquinamento, hanno portato il tema della sustainable supply chain ad essere
tra le più importanti decisioni aziendali. I manager devono affrontare la sfida della sostenibilità
nelle loro attività quotidiane e gradualmente stanno sviluppando consapevolezza del fatto che ci
sia un legame tra pratiche green e sociali e il successo delle imprese (Chiesa e Utizi, 2014). La
sostenibilità non è più un concetto puramente ambientale, ma sta diventando una vera e propria
componente strategica.
Lo scopo di questa tesi, è quello di approfondire il tema della sostenibilità lungo la supply chain,
tema che è considerato di estremo interesse e attualità. Per fare ciò, una revisione della
letteratura sui temi della sostenibilità e della supply chain sostenibile è stata effettuata. Questa
review, ha rivelato che esiste scarsa integrazione tra sostenibilità e discipline di sustainable supply
chain. Tuttavia, sono emersi anche alcuni spunti che il mercato si sta gradualmente muovendo
verso un modo più sostenibile di fare business. La revisione letteratura ha compreso anche una
panoramica sui drivers per lo sviluppo di iniziative sostenibili. Inoltre, una vasta parte dell'analisi
letteratura ha interessato le pratiche sostenibili più diffuse sul mercato, con particolare
attenzione a quelle realizzate da aziende operanti nel settore del legno e del mobile. Infine, è
stata eseguita una revisione delle performance di triple bottom line.
Questa tesi si pone di colmare in parte le carenze emerse dalla Letteratura attraverso lo sviluppo
di un framework di ricerca. Il modello è stato costruito sulla base delle considerazioni tratte a
valle della revisione della letteratura e prendendo spunto da un framework di ricerca sviluppato in
un lavoro di tesi precedente. L’obiettivo del lavoro precedente era di identificare le pratiche
sostenibili più implementate nel settore dell’arredamento in base al diverso ruolo strategico della
sostenibilità (order winner, market qualifier e desirable attribute) e la posizione dell’azienda lungo
xvii
la filiera. Il nuovo framework, è uno strumento utile sia per ricercatori che per professionisti, in
quanto affronta diversi temi che sono scarsamente affrontati in letteratura come ad esempio: la
definizione di linee guida univoche per una corretta integrazione della sostenibilità nella strategia
aziendale come fattore competitivo, oppure il fatto che in letteratura sono pochi gli studi che
trattano il tema del fit strategico tra le priorità dei clienti e le capacità della supply chain. Inoltre,
non ci sono riferimenti alla controparte sostenibile del concetto fit strategico, che in questo studio
sarà definito come "sustainable strategic fit" o fit strategico sostenibile. D'altra parte, il
framework e i relativi risultati che ne sono derivati, rappresentano anche un potente strumento
per i manager che operano nel settore del mobile e, in generale, per le aziende che operano in
contesti con bassa complessità di prodotto e di processo. Questo lavoro, infatti, ha l'ambizione di
fornire ai manager una guida per orientare le loro decisioni verso l'attuazione di una strategia di
supply chain sostenibile.
I passi dell’analisi, nonché capitoli della tesi, sono sintetizzati nel seguente schema (Fig.1):
Figure 1 - Struttura della tesi
xviii
Analisi della Letteratura Nel primo capitolo, sono stati approfonditi i temi della sostenibilità e dello sviluppo sostenibile.
Diverse definizioni di sviluppo sostenibile sono emerse dalla letteratura, tra cui una delle più
interessanti è quella fornita dalla Commissione mondiale sull'ambiente e lo sviluppo (WCED): "Lo
sviluppo che soddisfa i bisogni delle generazioni presenti senza compromettere la capacità delle
generazioni future di soddisfare i propri bisogni ". Dopodiché è stato fatto un excursus sulle
definizioni più diffuse di sostenibilità. Secondo Shrivastava (1995a), la sostenibilità consiste in
"offrire il potenziale per ridurre i rischi a lungo termine associati all'esaurimento delle risorse, le
fluttuazioni dei costi energetici, le passività di prodotto, l'inquinamento e la gestione dei rifiuti",
secondo Dovers e Handmer (1992) la sostenibilità è "la capacità di un sistema umano, naturale o
misto, di resistere o di adattarsi ai cambiamenti endogeni o esogeni a tempo indeterminato". Per
Elkington (1994), creatore della Triple Bottom Line, la sostenibilità è "l'equilibrio tra i tre pilastri:
ambientali, economici e sociali". Molti altri contributi sono stati proposti nel capitolo dedicato.
Il secondo capitolo ha affrontato il ruolo strategico competitivo della sostenibilità. In particolare,
questa sezione è stata incentrata sulla evoluzione del ruolo strategico della sostenibilità. È stata
inclusa una panoramica delle strategia aziendali ambientale più diffuse, tra quelle riportate nel
capitolo, possiamo citare la classificazione fatta da Lee e Rhee (2007) che hanno suddiviso le
aziende in base ai loro approcci ambientali, gli Autori hanno identificato quattro modelli di
strategie ambientali: reattive, focused, opportunista, proattive, o la categorizzazione storica
proposta da Wilson (1975), che ha individuato quattro possibili modelli di business che
rispecchiano i modi in cui le aziende affrontano temi sostenibili: reattivo, difensivo, accomodante,
propositivo. L'ultima parte del capitolo due è stata dedicata a modellare meglio il concetto di
sostenibilità come fattore competitivo. In questa parte sono state introdotte le definizioni di order
winner e order qualifier coniate da T. Hill (2000), in quanto questi due concetti sono stati
fondamentali per la costruzione del framework di ricerca. Terry Hill (2000) sosteneva che i
principali criteri richiesti dal mercato possono essere suddivisi in due gruppi: order winner e order
qualifer. Hill ha definito order winner come: "una caratteristica di un prodotto o un servizio che è
richiesto perchè il prodotto / servizio sia considerato dal cliente come una valida alternativa" e
order winner come "caratteristica del prodotto che permette la vincita dell'offerta o determina
acquisto da parte del cliente "(T. Hill, 2000). I contributi della Letteratura al tema della
sostenibilità come order winner e market qualifier sono piuttosto limitati. Tuttavia, Wu e Pagell
(2010) hanno studiato il modello di business di diverse organizzazioni sottolineando come ogni
organizzazione consideri aspetti ambientali nel proprio processo decisionale strategico. In
particolare, gli Autori hanno realizzato delle configurazioni di comportamenti ambientali,
xix
comportamenti sociali e strategie sociale e li hanno definiti "posture ambientali". Il risultato è
stato la definizione di quattro posizioni ambientali: the environmental first posture, the equal
footing posture, the opportunity first posture and the community first postures. La classificazione
proposta dagli Autori si avvicina molto alla definizione di sostenibilità come order winner e market
qualifier.
Il terzo capitolo ha introdotto il tema della supply chain sostenibile. In particolare, dopo una
panoramica generale sul tema della supply chain, sono state fornite alcune definizioni di supply
chain sostenibili. Tra i contributi più interessanti vi è la definizione di Carter e Rogers (2008), che
ha definito SSCM come "l'integrazione trasparente strategica ed il raggiungimento degli obiettivi
sociali, ambientali ed economici di un'organizzazione attraverso il coordinamento sistemico dei
processi aziendali organizzativi inter-relazionali per miglioramento delle prestazioni economiche a
lungo termine della singola azienda e della sua catena di approvvigionamento ". Un'altra
definizione interessante di sustainable supply chain è stata fornita da S. Seuring e M. Müller
(2008), che l’hanno definita come "la gestione di materiale, informazioni e flussi di capitale,
nonché la cooperazione tra le imprese lungo la catena di approvvigionamento, tenendo conto di
tutte e tre le dimensioni dello sviluppo sostenibile, quali l'economia, ambiente e l’aspetto sociale,
che sono derivati da esigenze del cliente e delle parti interessate ". Nello stesso capitolo, anche i
driver e le barriere alla realizzazione di SSCM, le strategie per lo sviluppo di una filiera sostenibile
e relativi vantaggi e svantaggi, sono stati ampiamente illustrati.
Il capitolo quattro si è focalizzato sulla filiera dell’arredamento. In particolare, un’introduzione
generale all'industria del mobile apre il capitolo, dopodiché la supply chain del settore del legno-
arredo è stata spiegata e commentata. Tuttavia, la parte principale di questo capitolo è la cernita
delle pratiche sostenibili più diffuse nel settore del mobile. In particolare, le categorie di pratiche
esaminate sono: green design practices, sustainable production practices, sustainable purchasing
practices, sustainable collaboration with customers’ practices, supply chain network design
practices and green logistics practices. Inoltre, è stata eseguita una panoramica dei drivers più
impattanti per lo sviluppo della filiera sostenibile. Sia drivers interni che esterni sono stati inclusi
nell'analisi. Infine, un elenco delle performance di triple bottom line è stato redatto.
Identificazione dei gap della Letteratura Dalla revisione della letteratura due gap principali sono emersi:
Gap 1. Non esistono le linee guida univoche per la corretta integrazione della sostenibilità
nella strategia aziendale come fattore competitivo. Inoltre, vi è una mancanza di
xx
framework che mostrano come questa integrazione impatta sulle pratiche di supply chain
sostenibili.
Nonostante l'attenzione verso il tema sostenibile stia senza dubbio aumentando, le aziende che
sono riuscite a sviluppare una strategia aziendale pienamente sostenibile sono ancora rare. La
difficoltà che le imprese devono affrontare quando cercano di integrare la sostenibilità nella loro
strategia di business, è la mancanza di un framework strutturato che le guidi chiaramente nel
processo decisionale. Per esempio, in letteratura è possibile trovare molti riferimenti a diversi
strumenti strategici, tuttavia, non c’è uno strumento sistematico in grado di fornire le linee guida
generali per l'attuazione di una strategia aziendale sostenibile.
Gap 2. L'impatto che lo sviluppo di pratiche sostenibili da parte delle aziende ha sulle
prestazioni TBL (ambientali, sociali ed economiche) non è definito da un modello. Inoltre,
non esiste una versione univoca della natura di questo rapporto.
La revisione della letteratura ha mostrato che ci sono molti studi che analizzano il legame tra
l'attuazione di pratiche sostenibili e performance di TBL e che ci sono altrettante teorie diverse sul
loro rapporto. Alcuni autori, come Caniato et al. (2012), hanno analizzato i rapporti tra i drivers, le
pratiche e le performance utilizzando un'analisi di regressione lineare. In particolare, per l'analisi
condotta sulle performance, gli Autori hanno notato risultati differenti: ad esempio, pratiche di
acquisti green e di cooperazione con i clienti hanno un impatto significativo solo sulle prestazioni
ambientali, ma non su altri aspetti di performance, pratiche di “investment recovery” hanno un
impatto negativo sui risultati economici, mentre pratiche di eco-design non hanno mostrato alcun
impatto sulle performance. Azevedo et al. (2011) hanno analizzato la relazione tra pratiche e
performance sostenibili, con l'obiettivo di esplorare e comprendere l'influenza che le pratiche
GSCM hanno sulle performance sostenibili. I risultati dello studio hanno mostrato che il costo
ambientale, la qualità e l’efficienza sono le misure di performance con le relazioni più significative
con le pratiche green. Tuttavia, il legame diretto e positivo tra pratica e performance dell’azienda
non è sempre immediato. Molti altri papers hanno affrontato lo stesso argomento, tuttavia le
conclusioni tratte sono sempre molto diverse. Pertanto, la presenza di Gap 2 è giustificata dalla
mancanza di omogeneità nei risultati ottenuti nei precedenti studi.
Infine, un terzo gap è emerso dopo aver approfondito il tema del “strategic fit” definito da Chopra
e Meindl (2012). Gli autori lo hanno concepito come un concetto che indica la coerenza tra le
priorità dei clienti e le funzionalità di strategiche della supply chain. Gli autori hanno precisato che
si ha uno strategic fit ogni volta che strategia competitiva e strategia di supply chain hanno gli
stessi obiettivi, pertanto un’azienda può fallire a causa di una mancanza di strategic fit o perché i
xxi
suoi processi e le sue risorse non permettono di seguire la strategia desiderata. Chopra e Meindl
(2012) hanno fornito un procedimento ben definito per la realizzazione del strategic fit: per prima
cosa, l’azienda dovrebbe comprendere l'incertezza del cliente e della supply chain, a quel punto
dovrebbe concentrarsi sulla sua catena di fornitura, infine, l'azienda deve garantire che ciò che la
propria catena di approvvigionamento è in grado di fare sia coerente con le esigenze del cliente di
destinazione.
Gli autori hanno portato l'esempio di strategic fit tra l'incertezza della domanda e la strategia di
supply chain (reattiva o efficiente). Per ottenere strategic fit, maggiore è l'incertezza implicita, più
la filiera dovrebbe essere reattiva. Una crescente incertezza implicita da parte dei clienti e delle
fonti di approvvigionamento viene affrontata meglio aumentando la reattività dalla supply chain.
Questa relazione è rappresentata dalla "zona di strategic fit" illustrata in Fig. 2. Per ottenere un
elevato livello di performance, le aziende dovrebbero spostare la loro strategia competitiva (e la
conseguente incertezza implicita) e la strategia della supply chain (e la capacità di adattamento
conseguente) verso la zona di adattamento strategico.
Figure 2 - Finding zone of strategic fit (Chopra and Meindl, 2012)
Purtroppo, questo è uno dei rari contributi della Letteratura alla teoria del strategic fit disponibili,
è molto difficile trovare articoli scientifici che trattano questo argomento mentre è impossibile
trovare riferimenti al concetto sustainable strategic fit, in quanto è un concetto del tutto
innovativo. In questo lavoro, l'espressione "sustainable strategic fit" verrà inteso come la
corrispondenza tra il ruolo strategico della sostenibilità dichiarato dall’azienda e le pratiche
xxii
sostenibili effettivamente sviluppate dalla stessa. Sulla base delle considerazioni precedenti, è
possibile formulare il terzo gap della letteratura nel modo seguente:
Gap 3. In letteratura, ci sono pochi studi che trattano il tema del strategic fit tra le priorità
dei clienti di una strategia competitiva e le capacità offerte dalla supply chain. Inoltre, non
ci sono riferimenti alla controparte sostenibile del concetto di strategic fit che in questo
studio verrà indicata come "sustainable strategic fit"
Domande di ricerca Sulla base delle considerazioni precedenti e alla luce dei gap della Letteratura individuati, sono
state formulate le seguenti domande di ricerca:
RQ1: In che modo le aziende possono essere classificate in relazione al loro impegno per
l'attuazione di pratiche sostenibili?
RQ2: A parità di ruolo strategico della sostenibilità, quali sono le diverse pratiche
sostenibili implementate da produttori e fornitori
RQ3: Come impattano driver interni ed esterni all’azienda sulla disponibilità dell'azienda
ad implementare pratiche sostenibili?
RQ4: Come impatta il sustainable strategic fit tra il ruolo strategico della sostenibilità
dichiarato e le effettive pratiche sostenibili attuate sulla performance ambientali, sociali
ed economicche di una azienda?
Framework di ricerca Per rispondere a queste quattro domande di ricerca, un framework di ricerca è stato sviluppato. I
fondamenti per lo sviluppo del nuovo framework di ricerca sono stati ereditati da un precedente
lavoro di tesi in cui l'obiettivo era quello di identificare quali erano le pratiche sostenibili più
implementate sulla base del diverso ruolo strategico della sostenibilità dichiarato dalle imprese
(order winner, market qualifier, desirable attribute) e la posizione dell’azienda lungo la filiera
(Fig.3).
xxiii
Figure 3 - Framework di ricerca (Verderio, 2015)
Il nuovo Framework (Fig.4) conserva alcuni concetti chiave del modello precedente, come la
classificazione di sostenibilità in base ai concetti di order winner e market qualifier definiti da Hill
(2000), con l'aggiunta del concetto di "attributo desiderabile". La sostenibilità viene connotata
come desirable attribute quando non è considerata come fattore strategico, ma si limita ad essere
conforme a norme e regolamenti. Inoltre, anche nel nuovo framework viene riportato il rapporto
tra il ruolo strategico della sostenibilità e la conseguente attuazione di pratiche sostenibili, con
l'aggiunta dell’analisi dell'impatto che i driver possono avere sullo sviluppo delle pratiche. Come
già detto in precedenza, l'obiettivo di questo studio non è solo quello di individuare e analizzare le
pratiche messe in atto dalle aziende con diversi livelli di integrazione sostenibile, ma anche di
indagare se vi è una corrispondenza tra il ruolo strategico della sostenibilità dichiarato
dall’azienda e l'effettiva attuazione di una strategia sostenibile. Pertanto, la correlazione tra i
primi due elementi del framework è uno dei pilastri di questo nuovo lavoro. Un secondo
importante pilastro dello studio, è l'impatto che la posizione dell’azienda lungo la catena di
approvvigionamento ha sull'attuazione di pratiche di green e sociali. Pertanto, nel framework è
stata introdotta una variabile ad hoc che studiasse il comportamento di produttori e fornitori
riguardo l'attuazione di iniziative sostenibili. Infine, mentre nel lavoro precedente l'attenzione si
era concentrata sull'impatto che l’implementazione di pratiche sostenibili aveva sulle
performance aziendale, in questa analisi lo scopo è quello di individuare l'impatto che il
sustainable strategic fit precedentemente definito ha sulle perfomance aziendali.
xxiv
Figure 4 - Nuovo framework di ricerca
Metodologia La metodologia utilizzata per la realizzazione del lavoro è stata l’indagine di mercato. In primo
luogo, un questionario di ricerca è stato sviluppato sulla base della conoscenza acquisita dalla
revisione della letteratura. In seguito, con l'aiuto di SPSS, tre factor analyses esplorative su driver,
pratiche e performance sono state eseguite, inoltre i fattori di pratiche sono stati
successivamente classificati, grazie all’esecuzione di una cluster analysis. Infine, diverse analisi
ANOVA sono state eseguite sui fattori di driver e fattori di performance.
Era fondamentale, per lo scopo di questo studio, raccogliere dati quanto più reali e quantificabili
dal mercato. Lo sviluppo di un questionario di ricerca esplorativo è risultato essere il modo più
indicato per analizzare il settore dell’arredamento. In particolare, tra i diversi modi disponibili di
condurre un’indagine (questionari telefonici, questionari web, questionari per posta elettronica e
questionari mixed-model) (Forza 2012), il questionario inviato tramite posta elettronica si è
dimostrato essere lo strumento più appropriato.
xxv
Figure 5 – Fase di ricerca: invio dei questionari
Il questionario è stato sviluppato nel corso del mese di Marzo 2016 e, per facilitarne la
comprensione, è stato realizzato sia in italiano che in inglese. La prima occasione per testare il
questionario è stato il Salone del Mobile 2016 tenutosi a Milano dal 12 aprile al 17 aprile 2016.
Durante l'evento, il sondaggio è stato sottoposto ai partecipanti e alcune domandi riguardanti la
filiera del legno e il ruolo della sostenibilità nel settore del mobile sono state poste ai partecipanti.
Durante il Salone del Mobile, sono stati raccolti molti indirizzi e-mail e informazioni di contatto.
Subito dopo la conclusione della prima fase di test, infatti, è stato creato un database contenente
tutte le informazioni rilevanti delle aziende intervistate durante il Salone del Mobile e quelle
trovate navigando sul web. Con il supporto di SurveyMonkey, il questionario è stato caricato in
rete e successivamente inviato ad un gran numero di destinatari. Nel complesso, 1580 questionari
sono stati inviati, considerando il primo invio, solleciti e il secondo invio. Le aziende, sono state in
primo luogo contattate attraverso una e-mail che spiegava il progetto e che conteneva il link a
SurveyMonkey per la compilazione del questionario. Dopodiché, è stato fatto un sollecito alle
aziende che non avevano terminato il questionario dopo il primo invio. Le aziende che non
avevano risposto al primo invio di questionari, ma che risultavano particolarmente attente al
tema della sostenibilità, sono state contattate una seconda volta per telefono o via e-mail. La fase
di invio dei questionari è durata più o meno 4 mesi: da Maggio a Settembre 2016 (escluso Agosto
2016) e le modalità di risposta previste erano: o la compilazione del sondaggio via e-mail o
xxvi
tramite telefonata. Sono state ricevute 76 risposte in totale, di cui 18 erano incomplete, perciò le
risposte considerate valide per l’analisi erano 58.
Il questionario era composto da ventidue domande ed è stato suddiviso nelle seguenti sezioni:
PARTE 1: Struttura della supply chain: quali sono i clienti ei fornitori dell’azienda
PARTE 2: L'importanza della sostenibilità ambientale e sociale come fattori competitivi
PARTE 3: Driver e fattori che hanno spinto l'azienda verso l'adozione di pratiche sostenibili
PARTE 4: Sostenibilità e pratiche di supply chain sostenibili (design, acquisti, produzione,
distribuzione e sviluppo di nuovi prodotti)
PARTE 5: Performance
PARTE 6: Caratteristiche del prodotto e di processo
Dopo la conclusione della fase di raccolta dei dati, una quantità enorme di informazioni era stata
registrata. A quel punto era fondamentale trovare un modo intelligente ed efficace per gestire
tutti i dati raccolti e valorizzare le caratteristiche di fondo delle risposte. Si è convenuto che
l'esecuzione di una factor analysis su driver, pratiche e performance fosse il modo migliore per
gestire facilmente il gran volume di informazioni disponibili, in linea con i numerosi riferimenti
letteratura che hanno conseguito percorsi simili (Zhang et al, 2014;. Zhu et al ., 2008; Zhu et al,
2007;.. Macchion et al, 2015; Zhu e Sarkis, 2004;. Luthra et al, 2016). Il software scelto per
eseguire l'analisi è stato SPSS.
xxvii
Figure 6 – Fasi di ricerca: Factor analysis
Un'altra caratteristica interessante di SPSS, era la possibilità di eseguire una cluster analysis.
Questo passo è stato fondamentale ai fini di questa analisi, in quanto uno degli obiettivi che erano
stati fissati tramite le domande di ricerca, era di classificare le imprese secondo la loro abilità
nell’attuare pratiche sostenibili. Pertanto, l'esecuzione di un cluster analysis sulle pratiche
rappresentava il modo migliore per creare queste classi. L’analisi è stata condotta in linea con i
numerosi riferimenti della Letteratura che confermano questa possibilità (Chen et al, 2012;. Zhu e
Sarkis, 2004). In particolare, l'analisi è stata effettuata sui fattori pratiche, precedentemente
calcolati grazie all'analisi fattoriale. Utilizzare i fattori come input per la cluster analysis, ha
consentito di ridurre la dimensione del campione e di conseguenza la probabilità di ottenere
cluster poco affidabili.
xxviii
Figure 7 - Fase di ricerca - Cluster analysis
Il test ANOVA è stato fondamentale per verificare se vi era una differenza significativa in termini
di performance fra aziende appartenenti a diversi gruppi. Inoltre, la stessa analisi è stata eseguita
anche sui drivers per capire in che modo essi impattassero sulla decisione delle imprese di
implementare pratiche sostenibili, sulla falsa riga di quello che Salam (2008) ha fatto nel suo
articolo.
xxix
Figure 8 - Fasi di ricerca: ANOVA
Risposta alla RQ1 Una volta raccolte tutte le informazioni del sondaggio, la fase di analisi è cominciata. La prima
domanda di ricerca dell'analisi era la seguente:
RQ1: In che modo le aziende possono essere classificate in relazione al loro impegno per
l'attuazione di pratiche sostenibili?
L'obiettivo di questa domanda, era quello di verificare se c’erano aziende particolarmente capaci
a sviluppare pratiche di supply chain sostenibili e, al contrario, se esisteva una classe di aziende
che investiva poco nella realizzazione di iniziative ecologiche e sociali. Per ridurre l'elevato
numero di pratiche elencate nel questionario, in totale erano cinquanta, un'analisi riduzione
dimensionale sul campione di pratiche è stata eseguita. Al termine dell’analisi fattoriale, dodici
fattori sono stati identificati:
1. Green design (GD)
2. Green management (GM)
3. Green production (GP)
4. Pollution prevention and control (PPC)
5. Suppliers green monitoring (SGM)
6. Suppliers green assessment (SGA)
xxx
7. Green collaboration with suppliers (GCS)
8. Socially responsible purchasing (SRP)
9. Green customer management (GCM)
10. Design del network (DDN)
11. Sustainable packaging (SP)
12. Green logistics (GL)
A questo punto, l'obiettivo di riduzione dimensionale è stato raggiunto. Il campione non è più
composto da cinquanta pratiche, ma da dodici fattori che spiegano comunque la varianza totale
delle pratiche estese. Tuttavia, per rispondere alla domanda di ricerca iniziale (RQ1), è stato
necessario eseguire un'ulteriore analisi di classificazione. In particolare, una cluster analisi è stata
effettuata con il supporto di SPSS. L’output della two step cluster analysis eseguita sui fattori è
stato il seguente (Fig.9).
Figure 9 - Riassunto del modello
A questo punto, per caratterizzare ogni cluster e trovare quale delle tre classi di aziende fosse la
migliore nell’attuare pratiche di supply chain sostenibili, è stato necessario considerare un
ulteriore risultato della cluster analysis condotta con SPSS: la matrice dei centroidi (Table 1).
xxxi
Centroids
GD GM GP PPC SGM SGA GSC SRP GCM DDN SP GL
Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation
Cluster 1 1,0864 ,94766 ,9555 ,65642 ,5155 ,68661 ,8236 ,71410 1,4745 ,52288 ,9209 ,50439 1,2455 ,61862 1,2064 ,58805 1,2427 ,85379 ,9055 ,84354 ,6973 ,65712 1,3073 1,12749
2 -,0488 ,77880 ,0009 1,00062 ,2472 ,96788 ,2500 ,74767 -,0228 ,64884 ,2534 ,63966 ,0891 ,72522 ,0066 ,80117 ,0088 ,76932 ,1200 ,80244 ,3338 ,75867 -,1225 ,74953
3 -,6913 ,80054 -,6973 ,55573 -,9053 ,66656 -
1,1373 ,63964
-
1,0313 ,31753
-
1,2173 ,76420
-
1,1053 ,29046 -,8933 ,62879 -,9280 ,31779 -,9187 ,74704
-
1,2220 ,49804 -,6900 ,15834
Combined ,0003 ,99985 ,0014 1,00006 ,0000 1,00129 ,0000 1,00019 ,0003 1,00075 -,0003 1,00015 -,0005 ,99961 ,0014 ,99888 ,0005 ,99964 ,0003 1,00025 ,0003 ,99952 ,0019 ,99912
Table 1 - Matrice dei centroidi
Sulla base dei valori medi illustrati nella matrice dei centroidi, la seguente nomenclatura è stata
proposta:
– Highly Capable Companies: le medie del cluster uno, si sono dimostrate le più alte per
ogni fattore di pratiche, è evidente dalla matrice dei centroidi che le aziende appartenenti
al primo gruppo hanno i migliori risultati in termini di realizzazione di pratiche sostenibili
in quanto le aziende del gruppo uno hanno assegnato valori molto alti alla maggior parte
delle categorie di pratiche. Il primo gruppo è formato da undici imprese, di cui zero sono
fornitori. Questo è già una notevole caratteristica del cluster, nessuno dei fornitori
partecipanti allo studio ha mostrato di essere particolarmente capace nell'attuazione
pratiche sostenibili. Tuttavia, a questo livello di analisi, era prematuro concludere che i
fornitori non fossero interessati al tema della sostenibilità. Quello delle highly capable
companies è risultato essere il cluster più scarso, questo potrebbe essere interpretato
come sintomo di una scarsa conoscenza delle pratiche disponibili sul mercato o come un
basso interesse generale verso iniziative sostenibili nel settore dell’arredamento.
– Medium Capable Companies: guardando la matrice dei centroidi, il cluster due mostrava
valori di medie modesti, le aziende in questo gruppo implementano una quantità
moderata di pratiche sostenibili, pertanto esse sono state definite medium capable
companies. Il cluster due è composto da trentadue aziende, di cui nove sono fornitori di
componenti. Questo è il più grande dei clusters sia in termini di numerosità generale sia
per quanto riguarda quella specifica dei fornitori.
– Shortly capable companies: dalla matrice dei centroidi è emerso che il cluster tre aveva i
valori medi più bassi, questo è stato interpretato come un impegno minimo in termini di
attuazione di pratiche sostenibili, pertanto, le aziende appartenenti al gruppo tre sono
xxxii
state denominati come shortly capable companies. Questo cluster è formato da quindici
aziende di cui tre fornitori di componenti.
Risposta alla RQ2 Una volta che le aziende sono state classificate in base al loro impegno nell’attuare pratiche
sostenibili, si è cercato di valutare se ci fossero differenze nei comportamenti di fornitori e
produttori posizionati in classi diverse. In particolare, a parità di ruolo strategico della
sostenibilità, sono state studiate le differenze nel livello di attuazione di pratiche sostenibili di
fornitori e produttori.
RQ2: A parità di ruolo strategico della sostenibilità, quali sono le diverse pratiche sostenibili
implementate da produttori e fornitori
Per fare ciò, dopo che il posizionamento delle imprese nei tre gruppi (highly capable, medium
capable, shortly capable) è stato definito, produttori e fornitori di mobili sono stati analizzati
separatamente, per vedere se esistevano differenze sostanziali tra le loro classificazioni. In altre
parole, un focus sul gruppo dei fornitori è stato fatto al fine di rilevare l'eventuale concentrazione
di questi soggetti in un unico cluster. Tuttavia, questa possibilità è stata esclusa dalla cluster
analysis, i cui risultati mostravano chiaramente che i fornitori erano omogeneamente distribuiti
tra i tre gruppi. Pertanto, un'analisi qualitativa delle risposte fornite al questionario è stata
eseguita. È emerso che, in generale, i fornitori attribuiscono un maggior valore competitivo alla
sostenibilità sociale rispetto a quella ambientale. Al contrario, i produttori considerano la
sostenibilità ambientale come un market qualifier e la sostenibilità sociale come un nice to have.
Una possibile spiegazione di questa mancata corrispondenza della dichiarazione del ruolo
strategico di sostenibilità tra fornitori e produttori, poteva essere la dimensione, piuttosto
diversa, delle aziende appartenenti ai due gruppi. Il fornitore più piccolo del campione aveva
1.000.000 € di fatturato, mentre il più grande aveva 16.000.000 € di fatturato, il valore medio dei
ricavi dei fornitori era 6.125.000 €. Il gruppo dei produttori aveva caratteristiche molto diverse: il
valore massimo dei ricavi era 411.587.464 €, il valore minimo era 400.000 €, il valore medio era
di: 38.474.696 €. Perciò era ragionevole supporre che la discriminante per le diverse dichiarazioni
di ruolo strategico sostenibilità fosse la dimensione.
xxxiii
Pertanto, una porzione dei produttori è stata selezionata e ulteriormente analizzata. In
particolare, solo i produttori con caratteristiche di fatturato paragonabili a quelle dei fornitori
sono stati scelti. Nel complesso, tredici produttori sono stati considerati, il valore più basso dei
ricavi di questo nuovo campione era di 1.200.000 €, il valore più alto era di 14.000.000 €, il valore
medio era di 4.945.923 €. Perciò, sono stati selezionati valori molto più comparabili. A questo
punto è stata effettuata una valutazione comparativa tra il nuovo campione di produttori ed i
fornitori. I risultati ottenuti sono riportati nei seguenti grafici:
Nonostante il punto di vista dell’analisi sia diverso, è chiaro che c’è ancora una mancata
corrispondenza tra ciò che i fornitori hanno dichiarato circa il ruolo competitivo della sostenibilità
e ciò che i produttori, con una dimensione paragonabile, hanno affermato. Pertanto, si è concluso
che la dimensione non era la variabile differenziale per le diverse dichiarazioni di ruolo
competitivo di sostenibilità ambientale e sociale da parte di produttori e fornitori.
Dopo questa prima considerazione, è stata condotta un'analisi sulle pratiche attuate da produttori
e fornitori che dichiaravano il medesimo ruolo strategico della sostenibilità. I risultati di questa
analisi sono stati generalizzati come segue:
Quando la sostenibilità è un desirable attribute, la prevenzione dell'inquinamento e le pratiche di
riduzione dell’inquinamento sono tra le pratiche più implementate dei fornitori, mentre sono tra
le meno interessanti per i produttori. Analoga considerazione può essere fatta per la produzione
green: essa è spesso ampiamente sviluppata dai fornitori, ma è modestamente attuata dai
produttori. L’opposto può essere concluso per le pratiche di design del network che sono tra le
meno implementate dai fornitori, mentre sono di posizione abbastanza rilevante nella classifica
dei produttori. Per entrambi fornitori e produttori, suppliers’ green assessment and suppliers’
green monitoring sono pratiche di poco interesse, mentre le pratiche di logistica green sono di
interesse molto basso, indipendentemente dalla posizione dell’azienda lungo la filiera.
xxxiv
Quando la sostenibilità è un market qualifier, pratiche di prevenzione e controllo
dell'inquinamento e pratiche di valutazione dei fornitori sono due delle pratiche più
implementate da parte dei fornitori, sono anche modestamente implementate dai produttori.
Mentre pratiche di design del network e pratiche di logistica green sono tra le meno sviluppate
per i fornitori, esse sono di medio interesse per i produttori. Ci sono differenze significative tra
fornitori e produttori per le pratiche di produzione green che sono generalmente più sviluppate
dai fornitori che dai produttori. Somiglianze sono state trovate per le pratiche di collaborazione
con i fornitori e gestione dei clienti che sono modestamente implementate da fornitori e
produttori.
Quando la sostenibilità è un order winner, pratiche di produzione green vengono classificate tra le
pratiche sostenibili più diffuse da parte dei fornitori, mentre i produttori hanno ben poca
considerazione di questa categoria di pratiche. Sia produttori che fornitori dedicano risorse
comparabili per lo sviluppo di pratiche di logistica green, in quanto essa è considerata tra i primi
posti della classifica di entrambi. In media, pratiche di valutazione sostenibile dei fornitori sono
più attuate dai fornitori che dai produttori, mentre essi dedicano la stessa quantità di risorse a
pratiche di imballaggio sostenibili. Suppliers’ green monitoring practices and supplies’ green
assessment sono in genere medio-classificati da entrambi. Infine, pratiche di prevenzione
dell'inquinamento e di controllo dell'inquinamento sono, in generale, ritenute di maggior valore
dai fornitori che dai produttori
Risposta alla RQ3 A valle dell'analisi precedente sulle pratiche e sul ruolo che la posizione dell'azienda lungo la
catena di approvvigionamento ha sull’applicazione di pratiche sostenibili, lo studio si è spostato
ad analizzare l’eventuale impatto che drivers esterni e interni hanno su iniziative sostenibili delle
aziende.
RQ3: Come impattano driver interni ed esterni all’azienda sulla sua disponibilità ad implementare
pratiche sostenibili?
Una volta raccolte le risposte fornite dalle aziende, la modalità di analisi è stata di indagare se ci
fosse una relazione diretta tra i drivers e l’impegno per l’attuazione di pratiche sostenibili. Ancora
una volta, si è deciso di eseguire un'analisi di riduzione dimensionale sui nove driver, per ridurre la
numerosità del campione. Pertanto, un’analisi fattoriale esplorativa sui driver è stata condotta e
l’output è stato l'individuazione di tre fattori di driver:
1. Regulatory drivers (RD)
xxxv
1. Drivers of image (DI)
2. Stakeholders drivers (SD)
Una volta ottenuti i fattori, il modo più intuitivo per rilevare eventuali relazioni tra i drivers e la
scelta delle imprese di dedicare una certa quantità di risorse per lo sviluppo delle iniziative
sostenibili, era quello di eseguire un'analisi ANOVA sui fattori di driver. I seguenti schemi sono
stati sviluppati per spiegare graficamente i risultati ottenuti attraverso l'analisi ANOVA sui drivers.
I primi due grafici mostrano dove l'impatto dei driver normativi e driver di immagine è più alto.
Dall’analisi ANOVA, è risultato che le medie delle aziende highly capable e delle aziende medium
capable sono significativamente diverse da quelle di aziende shortly capable. Al contrario, per
quanto riguarda i driver degli stakeholders, non sono state rilevate significative differenze di
HIGHLY CAPABLE
MEDIUM CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
RD DI
SD
xxxvi
medie. Pertanto, il significato delle tre piramidi dovrebbe essere chiaro: il triangolo rosso
tratteggiato indica quali sono i gruppi di aziende più influenzati da un dato fattore di drivers. È
importante sottolineare che la conclusione di questa analisi, non è che solo le aziende highly
capable e medium capable sono influenzate dai driver normativi e driver di immagine. Anche le
aziende shortly capable sono spinte da driver di regolamentazione a sviluppare pratiche
sostenibili, dal momento che i regolamenti e le norme sono gli stessi per tutte le aziende del
settore. La conclusione che si può trarre da questa analisi è che, per i fattori di driver di immagine
e di regolamentazione, le aziende appartenenti al gruppo highly capable hanno valori medi
significativamente superiori a quelli delle aziende shortly capable, ma non significativamente
diversi da quelli di aziende medium capable. Le aziende medium capable hanno valori medi che
sono a loro volta superiori a quelli delle aziende shortly capable. Pertanto, si può concludere che i
driver di regolamentazione e driver di immagine sono particolarmente impattanti per quelle
aziende che sono già coinvolti con il tema della sostenibilità, ma esse non sono l’unica tipologia di
aziende interessate dai driver in discussione. Per ciò che riguarda drivers di stakeholder, invece,
non sono state riscontrate differenze significative fra i cluster, pertanto si può dire che i driver di
stakeholder interessano i tre clusters in ugual modo
Risposta alla RQ4 La risposta alla quarta ed ultima domanda di ricerca rappresenta anche il contributo più
innovativo che questo studio porta allo stato dell'arte nel campo dello sviluppo sostenibile della
supply chain. Come tale, è anche il passaggio più articolato del lavoro. L'ultima domanda di ricerca
di questa tesi è stata formulata nel modo seguente:
RQ4: Come impatta il sustainable strategic fit tra il ruolo strategico della sostenibilità dichiarato e
le effettive pratiche sostenibili attuate sulla performance ambientali, sociali ed economicche di
una azienda?
Mentre lo strategic fit definito da Chopra e Meindl (2012) indicava la coerenza tra le priorità dei
clienti e le capacità strategiche competitive della supply chain, in questa tesi il concetto di
sustainable strategic fit indica la corrispondenza tra il ruolo competitivo di sostenibilità dichiarato
e l'effettivo impegno delle aziende nella realizzazione di pratiche di supply chain sostenibili.
Questa prima considerazione è anche il pilastro più importante di questo lavoro, così come il
punto di partenza per rispondere alla RQ4. Dopo aver definito questo concetto, ci si è chiesti se le
aziende potessero essere meglio definite in base al loro sustainable strategic fit. Approfondendo il
lavoro di autori precedenti che hanno affrontato il problema della classificazione delle imprese
sulla base di una data variabile (Macchion et al, 2015;. Wu e Pagell, 2011), si è ipotizzato che i
xxxvii
soggetti dell'indagine potessero essere ulteriormente classificati in base al ruolo competitivo della
sostenibilità dichiarata. Combinando questa considerazione con la classificazione in cluster
ottenuta come risposta alla RQ1, si è ipotizzato di classificare le imprese in base al loro sustainable
strategic fit or misfit e il loro impegno nella realizzazione di iniziative green e sociali.
Considerando precedenti lavori di ricerca e, in particolare, il lavoro di tesi che ha preceduto quello
attuale, sono state trovate evidenze di come l'attuazione di alcune pratiche sostenibili abbia un
impatto positivo diretto sulle performance di triple bottom line. Per esempio, la tesi precedente
ha concluso che pratiche di gestione della produzione quali: uso di un sistema di gestione dei
rifiuti, l'uso di materie prime riciclate, l'uso di energia da fonti rinnovabili e la realizzazione di
imballaggi riciclabili / riutilizzabili, migliorano le prestazioni di costo della supply chain. Pratiche di
acquisto, quali: collaborazioni con i fornitori per migliorare le loro performance sostenibili, hanno
un impatto positivo sull'immagine verde dell’azienda e sulla sua reputazione. Infine, l'adozione di
certificazione ambientale e sociale, l’organizzazione di corsi di formazione per un corretto uso e
smaltimento dei prodotti per i clienti e dipendenti e la sponsorizzazione di iniziative ecologiche e
sociali di organizzazioni no-profit, migliorano in modo significativo il livello di soddisfazione delle
parti interessate e l'immagine verde aziendale. Inoltre, nella letteratura recente, esistono diversi
articoli che offrono una visione su possibili modelli di supply chain per migliorare le performance
ambientali (Florida, 1996a; Florida e Davison, 2001; Geffen e Rothenberg, 2000; Green et al,
1996;. Mano fi eld et al, 2002;. Sarkis, 1995). Infine, alla luce delle conclusioni tratte nel lavoro di
tesi precedente e in linea con una serie di articoli di ricerca che si occupano delle relazioni tra
l'attuazione di pratiche sostenibili e l'evidente miglioramento delle performance aziendali (Zhu e
Sarkis, 2004; Zhu et al ., 2007, Samal, 2008;. Zhu et al, 2008), considerando anche i risultati di
alcuni studi scientifici che dimostrano che le imprese implementano pratiche diverse a seconda
del diverso ruolo competitivo della sostenibilità nella loro strategia aziendale (Wu e Pagell, 2011;
Cabot et al., 2009), si è ipotizzato che: quando il sustainable strategic fit tra ruolo dichiarato di
sostenibilità e le pratiche effettivamente implementate è nella sua condizione ottimale, allora
l'azienda sperimenta il massimo livello di prestazioni di triple bottom line. Questo presupposto ha
portato alla formulazione della seconda ed ultima ipotesi di ricerca:
Hp1: Le aziende che soddisfano la condizione ottima di sustainable strategic fit, godono
del massimo incremento di performance di triple bottom line
Per convalidare l’ipotesi precedente sono state eseguite analisi multiple. In primo luogo, il
framework sviluppato da Chopra e Meindl (2012) è stato analizzato e studiato a fondo. A partire
dalla loro idea originale, un nuovo framework è stato sviluppato per permettere la classificazione
xxxviii
delle aziende sulla base del sustainable strategic fit tra il ruolo strategico della sostenibilità
dichiarato e le effettive pratiche sostenibili messe in atto. Dopodiché, la classificazione
inizialmente ottenuta come risultato della cluster analysis (highly capable, medium capable,
shortly capable), è stata combinata con le informazioni raccolte attraverso il questionario sul
ruolo competitivo di sostenibilità (desirable attribute, market qualifier, order winner). In questo
modo, una matrice con nove celle è stata costruita. La matrice, chiamata matrice di sustainable
strategic fit, rappresenta una versione personalizzata del framework di fit strategico di Chopra e
Meindl (2012), in quanto tale, permette di individuare facilmente quali sono le aziende che
corrispondono alla condizione sustainable strategic fit (quelle che si trovano sulla diagonale della
matrice). In questo modo, la prima ipotesi di ricerca è stata validata. Per dimostrare la validità
dell’ipotesi due, è stato adottato un approccio diverso. In primo luogo, è stato dimostrato che non
è sufficiente essere molto bravi nell'attuazione pratiche sostenibili per avere un miglioramento
significativo delle performance. In altre parole, un’analisi ANOVA tra le righe della matrice di
sustainable strategic fit è stata eseguita per trovare se vi erano differenze significative nei valori
medi per le performance di TBL. Successivamente, lo stesso tipo di analisi è stata eseguita per le
colonne della matrice. Si è inoltre indagato se ci fossero differenze significative nelle medie tra
aziende con diversi ruoli strategici della sostenibilità. I risultati di queste analisi hanno evidenziato
che non esiste una classe dominante per quanto riguarda le performance di triple bottom line.
Pertanto, sono state condotte ulteriori analisi. In particolare, a questo punto il focus delle analisi
si è spostato sulla singola cella della matrice ed è stata eseguita un'analisi ANOVA tra le celle della
matrice. Le aziende che si trovano sulla diagonale della matrice sono quelle che soddisfano la
condizione di sustainable strategic fit, quindi ci si aspettava che alcuni risultati significativi
emergessero dal loro confronto. È risultato che le aziende che corrispondono alla miglior
condizione di sustainable strategic fit avevano anche le performance più alte. A questo punto,
dopo aver confrontato le medie delle rimanenti celle ed aver appurato che le aziende che si
trovavano nella condizione di sustainable strategic fit migliore avevano le performance in
assoluto migliori, si è potuto concludere che anche l’ipotesi due era rispettata: le aziende che
soddisfano la condizione di sustainable strategic fit ottimale, performano meglio rispetto a tutte
le altre aziende. Lo schema seguente riassume i passaggi dell'analisi (Fig.10).
xxxix
Figure 10 - Passi dell'analisi per rispondere alla RQ4
Durante lo sviluppo della sustainable strategic fit matrix, sono stati fatti molti riferimenti al lavoro
di Chopra e Meindl (2012). Il loro framework è stato il punto di partenza per costruire un nuovo
framework personalizzato sul concetto sustainable strategic fit. La zona di fit strategico, è
diventata la zona di sustainable strategic fit, mentre gli assi hanno cambiato nome ed sono
diventati ruolo strategico della sostenibilità (asse x) e cluster (asse y) (Fig. 11).
xl
Figure 11 - framework di fit strategico sostenibile
Per la costruzione di questo modello, varie informazioni sono state raccolte grazie anche alle
analisi precedentemente condotte. La definizione dei cluster sviluppata sulla base dell'impegno
che le imprese mettono nell'attuazione di pratiche sostenibili è stata la prima informazioni utile e
necessaria, la dichiarazione del ruolo strategico della sostenibilità è stato il secondo dato
importante. Combinando queste informazioni, due sustainable strategic fit matrices sono state
ottenute.
xli
STRATEGIC ROLE OF Environmental SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES
PR26
PR29
PR39
PR12
PR14
PR21
PR44
PR45
PR20
PR19
PR46
MEDIUM CAPABLE COMPANIES
FOR12
PR1
PR5
PR9
PR15
PR33
PR36
PR37
PR41
PR6
FOR1
PR4
FOR6
PR11
FOR8
FOR9
PR30
PR25
PR42
FOR3
FOR5
FOR10
PR17
FOR11
PR22
PR28
PR43
PR8
PR13
PR18
PR27
PR40
SHORTLY CAPABLE COMPANIES
FOR4
PR10
FOR7
PR23
PR31
PR32
PR34
PR35
PR38
PR7
PR24
PR2
PR16
FOR2
PR3
Table 2 - Matrice di fit strategico sostenibile ambientale
STRATEGIC ROLE OF Social SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES
PR20
PR44
PR39
PR45
PR19
PR29
PR21
PR26
PR14
PR46
PR12
MEDIUM CAPABLE COMPANIES
PR6
FOR3
FOR5
PR11
FOR10
FOR11
PR22
PR30
FOR12
PR9
PR15
PR33
PR41
PR42
PR8
PR13
PR28
PR43
FOR1
PR4
PR5
FOR6
PR27
PR37
PR25
PR40
PR1
PR18
FOR8
FOR9
PR17
PR36
SHORTLY CAPABLE COMPANIES
PR2
FOR2
FOR4
FOR7
PR16
PR23
PR32
PR35
PR7
PR24
PR3
PR10
PR31
PR38
PR34
Table 3 - Matrice di fit strategico sostenibile sociale
xlii
Questo framework, ha permesso di classificare le imprese in gruppi secondo il loro sustainable
strategic fit or misfit: sono stati definiti complessivamente nove gruppi. Come nel framework
sviluppato da Chopra e Meindl (2012), le imprese posizionate sulla diagonale sono quelle che
soddisfano la condizione di fit strategico sostenibile. Le imprese che si pongono al di sopra o al di
sotto della diagonale sono quelli che non rispondono alla condizione di sustainable strategic fit,
quindi in queste situazioni si dirà che vi è un sustainable strategic misfit.
I nove gruppi di imprese classificate con questo criterio, sono stati nominati etichette. Le etichette
della matrice, saranno indicati con i numeri da 1 a 9:
1. Highly capable companies – sustainability is a desirable attribute
1. Highly capable companies – sustainability is a market qualifier
2. Highly capable companies – sustainability is an order winner
3. Medium capable companies – sustainability is a desirable attribute
4. Medium capable companies – sustainability is a market qualifier
5. Medium capable companies – sustainability is an order winner
6. Shortly capable companies – sustainability is a desirable attribute
7. Shortly capable companies – sustainability is a market qualifier
8. Shortly capable companies – sustainability is an order winner
L’Etichetta tre, come previsto, è composta dalle aziende più attive. Le aziende appartenenti a
questa etichetta performano meglio degli altri in termini di attuazione pratiche sostenibili. Le
aziende appartenenti a questa etichetta, dedicano in generale una maggiore quantità di risorse
per l'attuazione di pratiche sostenibili rispetto alle altre aziende. Questo è vero per l'etichetta tre
di entrambe le matrici.
Le aziende appartenenti all’etichetta cinque sono aziende mediamente prolifere. Esse
riconoscono la sostenibilità come un market qualifier e implementano un livello proporzionato di
pratiche. Una considerazione simile a quella fatta con l’etichetta tre può essere fatta anche per
questo secondo gruppo di aziende. Questa etichetta è composta da aziende medium capable che
considerano la sostenibilità un market qualifier. Pertanto, ci si aspetterebbe un livello di
attuazione di pratiche sostenibili medio e così è.
Le imprese incluse nell’etichetta sette sono le aziende più lente nell’attuare pratiche sostenibili.
Esse attribuiscono una bassissima importanza alla sostenibilità e non fanno nulla per migliorarla.
xliii
Per le aziende appartenenti alle etichette uno, due e quattro il sustainable strategic fit non è
soddisfatto. Tuttavia, esse possono essere considerate «aziende virtuose», perché, anche se non
riconoscono la sostenibilità come un order winner, attuano una notevole quantità di pratiche, così
possiamo ragionevolmente pensare che esse siano sulla strada giusta per includere la sostenibilità
nei loro fattori competitivi al più presto. In particolare, l'etichetta uno è formata da aziende che
dedicano grandi sforzi allo lo sviluppo di iniziative sostenibili, ma non riconoscono la sostenibilità
come fattore strategico competitivo. Questo potrebbe essere interpretato in modi diversi: queste
aziende potrebbero essere ancora in una fase embrionale dello sviluppo di una strategia
sostenibile, pertanto non sono pronte ad includere la sostenibilità tra i fattori di competitività
aziendali (cioè costi, qualità, tempi di consegna), ma hanno già cominciato ad impegnarsi con
misure green e sociali al fine di migliorare la propria posizione. D'altra parte, queste aziende
potrebbero non essere interessate a dichiarare il livello strategico della loro sostenibilità, in ogni
caso potrebbero essere coinvolte dalla questione ambientale per altri motivi, e quindi lavorano
duramente per portare il loro contributo positivo all’ambiente. Considerazioni analoghe possono
essere fatte per le aziende highly capable, che considerano la sostenibilità un market qualifier
(etichetta due). Queste imprese sono già orientate verso una posizione più coerente: dedicano
molte risorse alla realizzazione di iniziative sostenibili, tuttavia considerano la sostenibilità come
condizione necessaria per competere sul mercato, ma non come il vantaggio competitivo che
consente loro di vincere le offerte. Anche in questo caso, le aziende potrebbero essere sulla
strada giusta per trasformare la sostenibilità in una caratteristica vincente, però, attualmente,
stanno sottovalutando la sua importanza. Infine, le imprese appartenenti all’etichetta quattro
potrebbero ancora essere considerate aziende virtuose, in quanto implementano una buona
quantità di pratiche, ma hanno una considerazione molto bassa della sostenibilità come fattore
strategico. Anche in questo caso vi è un misfit strategico sostenibile tra il ruolo della sostenibilità
nella strategia aziendale e il livello di attuazione delle pratiche green e sociali.
Per le aziende appartenenti alle etichette sei, otto e nove il sustainable strategic fit non è
rispettato. A differenza della situazione precedente queste aziende stanno sopravvalutando il
ruolo della sostenibilità, mentre investono molto poco sullo sviluppo di pratiche sostenibili.
Quindi, possiamo definire queste aziende come «società viziose». L’etichetta sei, è composta da
imprese che sovrastimano la posizione strategica della sostenibilità. Queste aziende infatti,
performano modestamente in termini di attuazione di pratiche di sostenibilità, ma dichiarano che
la sostenibilità è un order winner. Anche in questo caso, vi è un misfit, tuttavia questo potrebbe
essere il caso di aziende che stanno progressivamente incrementando i loro sforzi verso
l'attuazione di pratiche sostenibili, ma sono ancora in una fase di work-in-progress. Pertanto,
xliv
anche se sono elencate all'interno delle aziende viziose, nel medio termine esse potrebbero
sviluppare un buon livello di pratiche sostenibili. L’etichetta otto comprende aziende che sono
poco interessate ad implementare pratiche sostenibili, ma che considerano la sostenibilità un
market qualifier. Questi soggetti stanno leggermente sopravvalutando il ruolo della sostenibilità
nella loro strategia di business, come commentato per l'etichetta quattro, per queste aziende le
condizioni di fit strategico sostenibile sono carenti, tuttavia, ridimensionando la loro dichiarazione
di ruolo strategico della sostenibilità, o aumentano gli sforzi dedicati allo sviluppo di pratiche
sostenibili, queste aziende potrebbero rientrare nelle condizioni di sustainable strategic fit. Infine,
la situazione peggiore possibile, è quella delle aziende che dichiarano che la sostenibilità è un
order winner, ma che hanno un rendimento molto scarso in termini di attuazione di pratiche
sostenibili (etichetta nove). Questo potrebbe essere il caso di aziende che sfruttano la
sostenibilità per scopi di marketing: per esempio, esse potrebbero creare campagne pubblicitarie
molto efficaci dichiarando la sostenibilità come missione aziendale, ma concretamente queste
aziende non fanno nulla per realizzare i loro slogan. L'aspetto positivo è che dall'analisi effettuata,
solo una società per entrambe le matrici si trova in questa condizione. Si tratta di un'osservazione
incoraggiante, in quanto indica che in generale le aziende evitano di trovarsi in condizioni di forte
misfit negativo.
La costruzione di questo framework ha permesso di classificare le imprese in base alla loro
condizione di sustainable strategic fit. Alla luce di questo risultato, si può concludere che Ipotesi 1
è supportata e l'analisi può continuare.
Una volta che le etichette sono state formate ed analizzate, il rapporto tra il sustainable strategic
fit o misfit, e le performance di triple bottom line può essere approfondito. In primo luogo,
un’analisi fattoriale esplorativa sulle performance è stata eseguita, ed è risultato che tutte le
sedici performance incluse nel questionario possono essere ben spiegate da cinque fattori:
1. Productive performance (PP)
2. Service performance (PSE)
3. Environmental performance (PA)
4. Social performance (PS)
5. Performance of image (PI)
Una volta ridotta la dimensione del campione di risposte, alcune ulteriori analisi sono state
eseguite. Inizialmente, la sustainable strategic fit matrix è stata analizzata per righe e per colonne.
xlv
Anche se questa analisi specifica non fornisce direttamente una risposta a RQ4, contribuisce a
definire correttamente i confini dell'analisi. In particolare, le seguenti analisi sono state eseguite
con l'obiettivo di dimostrare che non è sufficiente dichiarare che la sostenibilità è un order winner
per ottenere buone performance, non è sufficiente neanche dedicare una quantità enorme di
risorse per l'attuazione di pratiche sostenibili per ottenere risultati positivi. Nonostante questa
specifica analisi ANOVA non sia inclusa in una domanda di ricerca, è stata comunque significativa
in quanto dimostra che in nessun’altra condizione, ad eccezione di quella di misura strategica
ottimale sostenibile, il miglioramento della performance è massimizzato.
Dopo queste analisi iniziali, alcune conclusioni parziali sono state tratte. Ci sono evidenze
statistiche che le performance sono diverse tra i tre gruppi di società: highly capable, medium
capable, shortly capable e tra le imprese che dichiarano diverso ruolo strategico della
sostenibilità: desirable attribute, market qualifier, order winner. Tuttavia, non è possibile
affermare che, in generale, le performance delle aziende highly capable sono in assoluto le più
alte, come, al contrario, non è detto che le prestazioni delle aziende shortly capable sono le
peggiori. Le stesse considerazioni si possono trarre per le aziende che definiscono la sostenibilità
come un order winner o un desirable attribute. Pertanto, non è sufficiente essere molto efficienti
nell'implementare pratiche sostenibili per ottenere il massimo risultato e non è sufficiente
nemmeno dichiarare che la sostenibilità è un order winner per ottenere le migliori prestazioni
possibili.
Per trovare quali sono le condizioni in cui si raggiungono le massime performance, il punto di vista
dell’analisi ANOVA doveva cambiare. In particolare, si è deciso di analizzare se differenze
significative nei valori medi esistevano tra le celle della matrice. Ogni cella, chiamata etichetta,
racchiudeva un diverso gruppo di aziende. Le aziende appartenenti a diverse etichette avevano
caratteristiche diverse: per esempio, le imprese appartenenti alla diagonale della matrice erano
quelle che soddisfacevano la condizione di sustainable strategic fit, mentre quelle fuori dalla
diagonale erano quelle che non rispondevano a questa condizione. Quando esiste sustainable
strategic fit, significa che il ruolo competitivo dichiarato di sostenibilità e l'impegno per
l'attuazione di pratiche sostenibili sono allineati (vale a dire le aziende highly capable per cui la
sostenibilità è un order winner, le aziende medium capable per cui la sostenibilità è un market
qualifier, le aziende shortly capable per cui la sostenibilità è un desirable attribute). Alla luce di
questa osservazione, considerando anche i risultati ottenuti nella tesi precedente e dalla recente
letteratura (Florida, 1996a; Florida e Davison, 2001; Geffen e Rothenberg, 2000;. Green et al,
1996;. Mano fi eld et al, 2002, Sarkis, 1995), è ragionevole aspettarsi che le aziende che
corrispondono alla condizione ottimale di sustainable strategic fit (Highly capable companies –
xlvi
sustainability is a desirable attribute) ottengano miglior miglioramento delle performance. In altre
parole, le seguenti analisi sono finalizzate a convalidare la l’ipotesi di ricerca 2.
Dalle considerazioni precedenti, è emerso che le celle appartenenti alla diagonale della matrice
sono le più interessanti da analizzare, in quanto rappresentano la zona di sustainable strategic fit.
Pertanto, come prima cosa un’analisi ANOVA sulle tre etichette appartenenti alla diagonale delle
matrici è stata eseguita.
Figure 12 - Risultati ANOVA sulla diagonale
Queste analisi hanno evidenziato come, in quasi tutti i casi, l'etichetta tre performa meglio delle
altre due etichette (cinque e sette). Le aziende appartenenti all’etichetta tre sono quelle
corrispondenti al sustainable strategic fit ottimale: highly capable companies with sustainability as
order winner. Le imprese appartenenti all’etichetta cinque (medium capable companies –
sustainability is a market qualifier), invece, non hanno mostrato differenze significative nei valori
medi con il cluster sette per prestazioni ambientali, e performance sociali, mentre le loro
performance di immagine sono solo leggermente migliori di quelli delle aziende del gruppo di
sette. In tutti i casi analizzati aziende che corrispondono alla condizione peggiore di fit strategico
xlvii
sostenibile (shortly capable companies – sustainability is a desirable attribtue) hanno mostrato le
peggiori performance sia in termini di immagine che ambientali.
A questo punto, è stato dimostrato che le aziende corrispondenti al sustainable strategic fit
ottimo, conseguono il migliore rendimento (performance di immagine e ambientali) rispetto alle
aziende che rispettano la condizione di sustainable strategic fit, ma non nella sua forma più alta. I
risultati di questa analisi sono stati significativi in quanto hanno dimostrato che non è sufficiente
the sustainable strategic fit condition per avere buoni risultati di performance, è necessario che la
condizione sustainable strategic fit ottimale sia soddisfatta per vedere vantaggi significativi.
Detto questo, l'ultimo passo necessario per convalidare l'ipotesi due, è stato quello di dimostrare
che le aziende corrispondenti al sustainable strategic fit, nella sua forma più alta, performano
meglio anche delle aziende che non matchano la condizione di sustainable strategic fit, ossia
quelle fuori dalla diagonale della matrice. Pertanto, un'ulteriore analisi ANOVA sulle performance
è stata effettuata per vedere se c'erano differenze significative nei valori medi fra otto delle nove
etichette. La nona etichetta infatti era composta da una sola impresa; quindi, non era adatta per
un'analisi ANOVA.
L'analisi ha mostrato che l'etichetta tre include le aziende con le migliori prestazioni ambientali, le
prestazioni sociali e le prestazioni di immagine. Le aziende che corrispondono alla condizione
ottimale di sustainable strategic fit sono anche quelle che ottengono le prestazioni più elevate.
Alla luce di queste considerazioni, si può concludere che l’ipotesi uno è supportata, le basi su cui si
fonda RQ4 sono verificate e la domanda può essere considerata risolta.
Conclusioni Questa tesi aveva lo scopo di studiare l'effetto che un sustainable strategic fit ha sulle prestazioni
triple bottom line aziendale. I risultati ottenuti nel corso del progetto di lavoro, sono sintetizzati
dalla seguente mappa concettuale (Fig. 13):
xlviii
Figure 13 - Mappa concettuale: Messaggi chiavi dell'analisi
La mappa dimostra ciò che è stato già statisticamente dimostrato nel capitolo sei. Indubbiamente
l’etichetta tre (Highly capable companies – sustainability is an order winner) ottiene il maggior
miglioramento delle performance in termini di prestazioni ambientali, le prestazioni sociali e le
prestazioni economiche. Ciò che è interessante notare, è che non è sufficiente soddisfare la
condizione di sustainable strategic fit per ottenere il massimo guadagno, le aziende devono
corrispondere necessariamente alla condizione ottimale altrimenti il miglioramento delle
performance non è garantito. Per esempio, le imprese appartenenti all’etichetta cinque (Medium
capable – sustainability is a market qualifier) corrispondono alla condizione di sustainable
strategic fit, ma non nella sua forma più alta, infatti esse hanno performance di immagine e
ambientali medie. Le aziende, appartenenti all’etichetta sette (peggiori condizioni di sustainable
strategic fit, shortly capable – sustainability is a desirable attribtue) sperimentano performance
molto basse, come previsto. Ciò che è interessante, è che le aziende dell’etichetta sei (medium
capable companies – sustainability is an order winner) sono superiori i termini di performance alle
aziende del label quattro (medium capable companies- sustainability is adesirable attribute).
Nonostante l'etichetta sei sia stata originariamente annoverata tra le celle "viziose", essa mostra
xlix
performance superiori rispetto a quelle della cella quattro, che era elencata tra le "virtuose".
Questo è ragionevolmente spiegato dal fatto che, le aziende dell’etichetta sei attualmente
sopravvalutano il ruolo competitivo della sostenibilità, tuttavia esse possono essere
ragionevolmente considerate “raising companies”, ovvero aziende che stanno migliorando il
proprio impegno per l'attuazione di pratiche sostenibili nel medio-breve termine. Se questo
dovesse accade, esse sarebbero buone candidati per spostarsi nell’etichetta tre e corrispondere
alla condizione di sustainable strategic fit ottimale.
Implicazioni manageriali Il presente lavoro ha l'ambizione di fornire ai manager una guida per orientare la loro decisione
verso l'attuazione di una strategia di supply chain sostenibile. Il contributo portato al
management non sta solo nell'identificazione di quali sono le pratiche sostenibili più
implementate nel mercato dell’arredamento, ma anche nell’identificazione delle pratiche
maggiormente implementate dalle highly capable companies, medium capable companies e
shortly capable companies. Questa informazione potrebbe dare ai manager indicazioni su dove
investire, a seconda del livello di risorse disponibili per un dato progetto. Inoltre, questo lavoro
separa le pratiche messe in atto dai fornitori da quelle attuate dai produttori, quindi questo studio
può essere utile a tutte le aziende che operano nel settore dell’arredamento, indipendentemente
dalla loro posizione lungo la catena di approvvigionamento. I manager inoltre potrebbero avere
anche un’idea abbozzata di quali sono i driver che incidono di più sull’attuazione di iniziative
sostenibili, guardando i risultati delle ANOVA sui driver condotta in questo lavoro. Infine, il
contributo più interessante che questo lavoro porta al manager, è un’approssimazione di come le
performance aziendali cambieranno a seconda della posizione dell’azienda rispetto alla
condizione sustainable strategic fit.
l
Executive Summary Introduction Companies’ growing sensitiveness towards environmental issues, the need to comply with the
more and more frequent regulations, the need to increase the quality of the products and, at the
same time, to reduce production costs, new market opportunities, improvement of corporate
image and reputation and, finally, increasing concerns about climate changes, are just some of the
variables enhancing the interest of companies towards the role of sustainability in the definition
of the corporate strategy (Chiesa and Utizi, 2014). The growing pressures from the market, caused
also by the scarcity of natural resources and increased pollution, have brought the sustainable
supply chain theme among the most important business decisions. Managers face the
sustainability challenge in their daily activities and are growingly becoming aware of the fact that
there is a link between green and social practices and businesses’ success (Chiesa and Utizi, 2014).
Sustainability is no longer a purely environmental concept, while it is becoming a strategic
component.
This thesis’s aim, is to investigate the challenging theme of sustainability along the supply chain
that is considered of extreme interest and actuality. To do so, a wide Literature review on the
topics of sustainability and sustainable supply chain have been performed. This analysis revealed
that scarce integration exists between sustainability and supply chain management disciplines.
However, some hints that the market is gradually moving towards a more sustainable way of
doing business emerged. The Literature review included also an overview of the factors driving
companies to develop sustainable initiatives. Moreover, a wide part of the Literature analysis
interested the most diffused sustainable practices on the market, with a special focus on those
implemented by companies operating in the wood and furniture industry. Finally, a review of the
triple bottom line performance was run.
This thesis partially fills the Literature shortcomings, by developing a new research framework.
The model has been built based on the considerations drawn after the Literature review and
considering the framework developed in a previous thesis work where the goal was to identify
which were the most implemented sustainable practices according to the different strategic role
of sustainability (order winner, market qualifier or desirable attribute) and the position of the
company along the supply chain. The new framework, is an useful tool both for Scholars and
li
Practitioners, as it faces several themes that are scarcely faced in Literature such as: the definition
of unambiguous guidelines for the correct integration of sustainability into the corporate strategy
as a competitive factor, or the fact that in Literature there are few studies dealing with the topic
of the strategic fit between customer priorities of competitive strategy and supply chain
capabilities. Moreover, there are no references to the sustainable counterparty of the strategic fit
concept which in this study will be defined as “sustainable strategic fit”. On the other hand, the
framework and the relative findings are also a powerful instruments for managers operating in
the furniture industry and in general for companies operating in low product complex contexts
and low process complex contexts. The present work, indeed, has the ambition to provide
managers with a guide to orient their decision towards the implementation of a sustainable
supply chain strategy.
The steps taken during the development of this thesis, are synthetized in the following scheme.
Figure 14 - Structure of the thesis
lii
Literature review In chapter one, the themes of sustainability and sustainable development were deepened.
Different definitions of sustainable development emerged from the Literature, among which the
most noteworthy was the one defined by World Commission on Environment and Development
(WCED): ”The development that meets the needs of the present without compromising the ability
of future generations to meet their own needs”. Afterwards an excursus on the most diffused
definitions of sustainability was performed. According to Shrivastava (1995a), sustainability
consisted in “offering the potential for reducing long-term risks associated with resource
depletion, fluctuations in energy costs, product liabilities, and pollution and waste management”,
to Dovers and Handmer (1992) sustainability is the “ability of a human system, natural or mixed,
to resist or adapt to endogenous or exogenous change indefinitely”. For Elkington (1994), creator
of the Triple Bottom Line, sustainability is “the balance between the three pillars: environmental,
economic and social”. Many other contributions were proposed in the dedicated chapter.
The second chapter dealt with the strategic competitive role of sustainability. In particular, this
section focused on the evolution of the strategic role of sustainability and suggested some
interesting tool for the integration of sustainability in the business activities. Afterwards, an
overview of the most diffused environmental corporate strategies was performed, among those
reported in the chapter, we can mention the classification made by Lee and Rhee (2007) who
categorized companies according to their approaches towards environment, they detected a four-
type model for environmental strategies: reactive, focused, opportunistic, reactive, or the historic
categorization proposed by Wilson (1975), who identified four possible business models which
reflect the ways in which companies address sustainable issues: reactive, defensive,
accommodative, proactive. The last part of chapter two was dedicated to better shape the
concept of sustainability as a competitive factor. In this part the definitions of order winner and
order qualifier coined by T. Hill (2000) were introduced, as these two concepts were fundamental
for the construction of the research framework. Terry Hill (2000) argued that the criteria required
in the marketplace can be divided into two groups: order qualifiers and order winners. He defined
order qualifier as: “a characteristic of a product or service that is required in order for the
product/service to be considered by a customer” and order winner as “the product’s
characteristic that will allow the winning of the bid or will determine the customer’s purchase” (T.
Hill, 2000). The Literature contributions to the topic of sustainability as an order winner or a
market qualifier are quite limited. However, Wu and Pagell (2010) identified the business model
of different organizations emphasizing how each organization incorporated environmental
concerns in strategic decision-making. In particular, the Authors managed to realize
liii
configurations of environmental behaviors, social behaviors and social strategy and they called
them “environmental postures”. They came out with four environmental postures: the
environmental first posture, the equal footing posture, the opportunity first posture and the
community first postures. The description that the Authors made of these categories is
comparable to the order winner and order qualifier attributes of sustainability.
Chapter three introduced the sustainable supply chain topic. In particular, after a general
overview on the supply chain topic, some definitions of sustainable supply chain topics were
provided. Among the most interesting contributions there was the definition of Carter and Rogers
(2008), who defined SSCM as “the strategic, transparent integration and achievement of an
organization’s social, environmental, and economic goals through the systemic coordination of
key inter organizational business processes for improving the long-term economic performance of
the individual company and its supply chain”. Another interesting definition of sustainable supply
chain was provided by S. Seuring and M. Müller (2008) who considered it as “the management of
material, information and capital flows as well as cooperation among companies along the supply
chain while taking into accounts goals from all three dimensions of sustainable development such
as economic, environmental and social, which are derived from customer and stakeholder
requirements”. In the same chapter, also drivers and barriers to the implementation of SSCM,
strategies for the development of sustainable supply chain and concerning benefits and
drawbacks, are widely illustrated.
Chapter four focused on the furniture supply chain. Specifically, a general introduction to the
furniture industry was provided, afterwards the supply chain of the wood and furniture sector
was explained and commented. However, the core part of this chapter was the review of the
most diffused sustainable practices adopted in the furniture industry. In particular, the categories
of practices reviewed were: green design practices, sustainable production practices, sustainable
purchasing practices, sustainable collaboration with customers’ practices, supply chain network
design practices and green logistics practices. Moreover, it was performed an overview of the
most impacting driving factors for the development of sustainable supply chain. Both internal and
external drivers were included in the analysis. Finally, a list of the most widespread triple bottom
line performance was drafted: environmental practices, social practices and economic practices
were the three main areas of interest.
Literature gap identification From the main Literature review two main gaps emerged:
liv
Gap 1. There are not defined and unambiguous guidelines for the correct integration of
sustainability into the corporate strategy as a competitive factor. Moreover, there is a lack
of frameworks showing how this integration impacts on sustainable supply chain
practices.
Despite the attention towards the sustainable theme is undoubtedly raising, companies that
managed to develop a fully sustainable corporate strategy are still rare. The difficulty that firms
face when they try to integrate sustainability into their business strategy, is the lack of a
structured framework that clearly guide them in the decision-making process. For instance, in
Literature it is possible to find many references to different strategic tools. Nevertheless, there is
not a systematic tool able to provide the general guidelines for the implementation of a
sustainable corporate strategy.
Gap 2. The impact that the implementation of sustainable practices in businesses has on
TBL performance (environmental, social and economic) is not shaped by a defined model.
Moreover, there is not an unambiguous version of the nature of this relationship.
The Literature review showed that there are many studies analyzing the link between the
implementation of sustainable practices and the change TBL performance and as many different
theories on the kind of relationship between them. Some Authors, such as Caniato et al. (2012),
analyzed the relationships among drivers, practices and performance using a regression analysis.
In particular, for the analysis conducted on performance, the Authors noticed different
relationships: for example, green purchasing and customer cooperation have significant impact
only on environmental performance, but not on the other performance aspects, investment
recovery has a negative impact on economic performance while eco-design showed no impact for
all the performance aspects. Azevedo et al. (2011) analyzed the relationship between sustainable
practices and performance with the aim to explore and understand the influence that GSCM
practices have on SC performance. The study results showed that environmental cost, quality and
efficiency are the performance measures with the most significant relationships with green
practices. However, the positive direct link between the green practice and the firm’s
performance is not always immediate. Many other papers faced the same topic, however the
conclusions drawn were always quite different. Therefore, the presence of Gap 2 is justified by a
lack of homogeneity in the results obtained in previous studied.
Finally, a third Literature gap emerged after having deepened the topic of the strategic fit. Chopra
and Meindl (2012) defined strategic fit as a concept that indicate the consistency between
customer priorities of competitive strategy and supply chain capabilities specified by the supply
lv
chain strategy. The Authors specified that strategic fit happens when competitive and supply
chain strategies have the same goals, thus a company may fail because of a lack of strategic fit or
because its processes and resources do not provide the capabilities to execute the desired
strategy. The Authors specified that strategic fit happens when competitive and supply chain
strategies have the same goals, thus a company may fail because of a lack of strategic fit or
because its processes and resources do not provide the capabilities to execute the desired
strategy. Chopra and Meindl (2012) provided a procedure for the achievement of strategic fit:
first, a company should understand the customer and supply chain uncertainty, then it should
focus on its supply chain, finally the firm should ensure that what the supply chain does well is
consistent with target customer’s needs.
The Authors bring the example of strategic fit between demand uncertainty and supply chain
strategy (responsive or efficient). To achieve strategic fit, the greater the implied uncertainty, the
more responsive the supply chain should be. Increasing implied uncertainty from customers and
supply sources is best served by increasing responsiveness from the supply chain. This
relationship is represented by the "zone of strategic fit" illustrated in Fig. 15. For a high level of
performance, companies should move their competitive strategy (and resulting implied
uncertainty) and supply chain strategy (and resulting responsiveness) toward the zone of strategic
fit.
Figure 15 - Finding zone of strategic fit (Chopra and Meindl, 2012)
Unfortunately, this is one of the rare contributes to the theory of strategic fit available in
Literature, it is very hard to find scientific papers dealing with this topic, while it is impossible to
find references to the sustainable strategic fit concept, because it is a brand-new idea. In this
lvi
work, the expression “sustainable strategic fit” will be referred to as the match between the
strategic role of sustainability stated by the company and the effective implemented sustainable
practices. Thus, starting from the previous considerations it is possible to formalize the third
Literature gap with the following sentence:
Gap 3. In Literature, there are few studies dealing with the topic of the strategic fit
between customer priorities of competitive strategy and supply chain capabilities.
Moreover, there are no references to the sustainable counterparty of the strategic fit
concept which in this study will be defined as “sustainable strategic fit”
Research questions Based on the previous considerations and on the Literature gaps, the following research questions
have been formulated:
RQ1: How companies can be classified according to their commitment in implementing
sustainable practices?
RQ2: Being the strategic role of sustainability equal, what are the different sustainable
practices implemented by manufacturers and suppliers
RQ3: How the external and internal drivers impact on the company’s commitment to
implement sustainable practices?
RQ4: How the sustainable strategic fit between the stated strategic role of sustainability
and the actual implemented sustainable practices impacts on the environmental, social
and economic performance of a company?
Research framework To answer these four research questions, a research framework was developed. The basis for the
research framework have been inherited by a previous thesis work where the goal was to identify
which were the most implemented sustainable practices according to the different strategic role
of sustainability stated by firms (order winner, market qualifier or desirable attribute) and the
position of the company along the supply chain (Fig. 16).
lvii
Figure 16 - Research Framework (Verderio, 2015)
The new framework (Fig. 17) maintains some key concept of the previous model such as the
classification of sustainability according to the Hill’s order winner and market qualifier definitions
with the addition of the “desirable attribute” concept. Moreover, also in the new framework is
reported the relationship between the strategic role of sustainability and the subsequent
implementation of sustainable practices with the addition of the analysis of the impact that
drivers may have on the practices’ development. As already stated before, the goal of this study is
not only to identify and analyze the practices implemented by companies with different levels of
sustainable integration, but also to detect whether there is a match between the strategic role of
sustainability stated by the company and the effective implementation of a sustainable strategy.
Therefore, the correlation between the first two elements of the framework is one of the pillars of
this new work. A second important pillar of the study, is the impact of the company’s position
along the supply chain on the implementation of green and social practices. Thus, the variable
“role of the company along the supply chain” has been introduced to study the behavior of
manufacturers and suppliers with respect to the implementation of sustainable initiatives. Finally,
while in the previous work the focus was on the practices’ implementation’s impact on corporate
performance, in this analysis the purpose is to identify the impact on performance of the
sustainable strategic fit previously detected
lviii
Figure 17 - Research Framework
Methodology The research methodology used for this work was the survey. A research questionnaire was
developed based on the knowledge gained from the Literature review. Afterwards, with the help
of SPSS, three explorative factor analyses on drivers, practices and performance were performed,
moreover factors of practices were subsequently classified thanks to the running of a cluster
analysis. Finally, several ANOVA analyses were performed on factors of drivers and factors of
performance.
It was crucial, for the aim of this study, to collect real and quantifiable data from the field. The
elaboration of an exploratory questionnaire resulted the most indicated way to survey the
furniture market. In particular, among the different survey’s modes available (telephone
questionnaires, web questionnaires, mail questionnaires and mixed-model questionnaires) (Forza,
2012), the mail questionnaire showed to be the most appropriate tool for this study.
lix
Figure 18: Research phase: questionnaire's sending
The survey was built during the month of March 2016 and, for a matter of comprehension, it was
realized both in Italian and in English. The first occasion to test the survey was the Salone del
Mobile 2016 held in Milan from April the 12th to April the 17th. During the event, the survey was
submitted to the participants and some questions regarding the wood supply chain and the role
of sustainability in the furniture industry were asked. During the Salone del Mobile, many e-mail
addresses and contact information were collected. Right after the conclusion of the first-test
phase, indeed, a database containing all the relevant information of the companies interviewed
during the Salone del Mobile and those found by surfing the web was created. With the support
of Survey Monkey the questionnaire has been uploaded and subsequently sent to a large number
of recipients. Overall, 1580 mail questionnaires were sent, considering first sending, reminders
and second sending. The companies, were firstly contacted through an e-mail explaining the
project and containing the link to Survey Monkey for the fulfillment of the questionnaire. Then, a
reminder was sent to those companies that didn’t ultimate the questionnaire the first time.
Companies that didn’t reply to the first call, but resulted particularly involved with the
sustainability issue were approached a second time either by telephone or by e-mail. The phase of
questionnaires sending lasted more or less 4 months: from May to September 2016 (excluding
August 2016) and the response modes were either by filling the survey sent by e-mail or by
lx
arranging a telephone call. The total answers received were 76 of which 18 were incomplete, thus
the answers considered valid for the study were 58.
The survey was composed by twenty-two questions and was divided in the following sections:
PART 1: The supply chain structure: which are the firm’s customers and suppliers
PART 2: The importance of environmental and social sustainability as competitive factors
PART 3: Drivers and factors that pushed the company towards the adoption of
sustainable practices
PART 4: Sustainability and Supply Chain practices (about design, purchasing, production,
distribution and new product development)
PART 5: Performance
PART 6: Product and process features
After the conclusion of the data collection phase, a huge amount of information was recorded. It
was fundamental to find a smart and efficient way to manage all the data collected and valorize
the underlying features. It was agreed that running a factor analysis on drivers, practices and
performance was the best way to easily handle the large volume of information available, in line
with the several Literature references that pursued similar paths (Zhang et al., 2014; Zhu et al.,
2008; Zhu et al., 2007; Macchion et al., 2015; Zhu and Sarkis, 2004; Luthra et al., 2016). The
software chosen to run the analysis was SPSS.
lxi
Figure 19 - Research phase: Factor analysis
Another interesting feature of SPSS was the possibility of perform a cluster analysis. This was a
key step in the study because one of the targets that were set at the end of the data collection
phase, was to try to classify companies according to their goodness in implementing sustainable
practices. Therefore, running a cluster analysis on practices represented the best way to create
categories in line with the Literature references found that confirm this theory (Chen et al., 2012;
Zhu and Sarkis, 2004). Specifically, the analysis was performed on the practices factors, previously
computed thanks to the factor analysis. Using the factors as input for the cluster analysis allows to
reduce the sample size and consequently the likelihood of obtain wrong clusters
lxii
Figure 20 - Research phase: Cluster analysis
The ANOVA test was fundamental to investigate whether there was a significant difference in
performance of companies belonging to different classes of sustainable strategic fit. Moreover, it
was also applied to drivers to understand which were the most impacting on firms’ decision to
implement sustainable practices, similarly of what ANOVA Salam (2008) did in his paper.
lxiii
Figure 21 - Research Phase - ANOVA
Answer to RQ1 Once collected all the relevant information from the survey, the analysis phase began. The first
research question of the analysis was the following:
RQ1: How companies can be classified according to their commitment in implementing
sustainable practices?
The ultimate goal of this question, was to investigate whether there were firms particularly good
in developing sustainable supply chain practices and, by contrast, if there was a class of
companies that invested little efforts in the implementation of green and social initiatives. To
reduce the high number of practices listed in the questionnaire, in total they were fifty, a
dimension reduction analysis on the total sample of practices was run. At the end of the multiple
factor analyses, twelve factors were determined:
13. Green design (GD)
14. Green management (GM)
15. Green production (GP)
16. Pollution prevention and control (PPC)
17. Suppliers green monitoring (SGM)
18. Suppliers green assessment (SGA)
lxiv
19. Green collaboration with suppliers (GCS)
20. Socially responsible purchasing (SRP)
21. Green customer management (GCM)
22. Design del network (DDN)
23. Sustainable packaging (SP)
24. Green logistics (GL)
At this point, the objective of dimension reduction was met. The sample was no more composed
by fifty practices, but by twelve factors that were still explaining the total variance of the
extended practices. However, to answer the initial research question (RQ1), it was necessary run a
classification analysis. Specifically, a cluster analysis was performed with the support of SPSS. The
output of the two-step cluster analysis performed on factors’ scores was the following:
Figure 22 - Model summary
At this point, to characterize each cluster and find which of three classes of companies was the
best in implementing sustainable supply chain practices and which was the worst, it was
necessary to look at a further output of SPSS two-step cluster analysis: the centroids matrix (Table
4).
lxv
Centroids
GD GM GP PPC SGM SGA GSC SRP GCM DDN SP GL
Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation
Cluster 1 1,0864 ,94766 ,9555 ,65642 ,5155 ,68661 ,8236 ,71410 1,4745 ,52288 ,9209 ,50439 1,2455 ,61862 1,2064 ,58805 1,2427 ,85379 ,9055 ,84354 ,6973 ,65712 1,3073 1,12749
2 -,0488 ,77880 ,0009 1,00062 ,2472 ,96788 ,2500 ,74767 -,0228 ,64884 ,2534 ,63966 ,0891 ,72522 ,0066 ,80117 ,0088 ,76932 ,1200 ,80244 ,3338 ,75867 -,1225 ,74953
3 -,6913 ,80054 -,6973 ,55573 -,9053 ,66656
-
1,1373 ,63964
-
1,0313 ,31753
-
1,2173 ,76420
-
1,1053 ,29046 -,8933 ,62879 -,9280 ,31779 -,9187 ,74704
-
1,2220 ,49804 -,6900 ,15834
Combined ,0003 ,99985 ,0014 1,00006 ,0000 1,00129 ,0000 1,00019 ,0003 1,00075 -,0003 1,00015 -,0005 ,99961 ,0014 ,99888 ,0005 ,99964 ,0003 1,00025 ,0003 ,99952 ,0019 ,99912
Table 4 - Centroids matrix
Based on mean values illustrated in the centroids matrix, the following nomenclature was
proposed:
– Highly Capable Companies: means of cluster one are the highest for each factor of
practices, it is evident from the centroid matrix that companies belonging to the first
cluster are also the best performing ones in terms of sustainable practices
implementation, as they resulted the group that assigned the highest value to all
categories of practices. The first cluster is formed by eleven firms, of which zero suppliers.
This is already a notable characteristic, no one of the suppliers participating to the study
showed to be particularly capable in implementing sustainable practices. However, at this
level of analysis it is premature to conclude that suppliers are not deeply engaged in
sustainability. Highly capable companies are the scarcest cluster and this could be
interpreted as symptom of a scarce knowledge in the sector of the practices available on
the market or of a low general interest towards sustainable initiatives in the furniture
industry.
– Medium Capable Companies: looking at the centroid matrix, cluster two show modest
mean values, companies laying in this group are averagely implementing sustainable
practices, thus they have been defined as medium capable companies. Cluster two is
composed by thirty-two companies of which nine are components suppliers. This is the
biggest cluster both in terms of numerousness and for what concerns suppliers’ position.
– Shortly capable companies: from the centroid matrix it emerged that cluster three had
the lowest mean values, this has been interpreted as a bad performance in terms of
sustainable practices implementation, so companies belonging to cluster three have been
lxvi
named as shortly capable companies. It is formed by fifteen companies of which three are
components’ suppliers.
Answer to RQ2 Once companies have been classified according to their commitment in implementing sustainable
practices, it was noteworthy assess if some differences in behaviors existed between suppliers
and manufacturers listed in the different classes. Specifically, being the strategic role of
sustainability the same, the differences in the level of implementation of sustainable practices of
suppliers and manufacturers were investigated.
RQ2: Being the strategic role of sustainability equal, what are the sustainable practices
implemented by manufacturers and suppliers?
To do so, after the positioning of companies in the three clusters (highly capable, medium capable
and shortly capable) has been defined, furniture producers and suppliers have been treated
separately to see if substantial differences existed among their classification. In other words, a
focus on the suppliers’ group was made in order to detect eventual concentration of these
subjects in a single cluster. However, this possibility has been excluded from the cluster analysis,
that clearly showed that suppliers were homogenously distributed among the three clusters.
Therefore, a qualitative analysis of the answers provided to the questionnaire was performed. It
emerged that in general, suppliers attributed higher competitive value to social sustainability with
respect to environmental one. Conversely, producers considered a more strategic factor
environmental sustainability and a nice to have the social sustainability. One possible explanation
of this mismatch of sustainability’s strategic role declaration between suppliers and producers,
could be the different sizes of the companies belonging to the two groups. The smallest supplier
of the sample had 1.000.000 € of revenues, while the biggest one had 16.000.000 € of revenues,
the average value of revenues of suppliers was 6.125.000 €. The overall producers’ group had
quite different features: the maximum value of revenues was 411.587.464 €, the minimum value
was 400.000 €, the average value was: 38.474.696 €. Thus, it was reasonable to suppose that the
discriminating factor for the different declarations of sustainability strategic role was size.
Therefore, a section of the producers was selected and further analyzed. Specifically, only
producers with sales features comparable with the suppliers’ ones were chose. Overall, thirteen
producers were considered, the lowest value of revenues of this new sample was 1.200.000 €, the
highest value was 14.000.000 €, the average value was 4.945.923 €. Thus, much more comparable
values were selected. At this point a benchmarking between the new producers’ sample and the
suppliers’ group was performed. The results obtained are shown in the following charts:
lxvii
Despite a different point of view is adopted, it is clear there is still a mismatch between what
suppliers stated about the competitive role of sustainability and what producers with a
comparable dimension affirmed. Therefore, it can be concluded that size is not the variable
discerning between the different role of environmental and social sustainability.
After this first consideration, an analysis on the practices implemented by manufacturers and
suppliers that declared the same strategic role of sustainability was conducted. The results of this
analysis have been generalized as follows:
When sustainability is a desirable attribute, pollution prevention and pollution control practices
are among the most implemented practices of suppliers, while it they are among the least
interesting for producers. A similar consideration can be made for green production: it is often
widely developed by suppliers, but is modestly implemented by producers. The opposite
consideration can be made for network design practices that are among the lasts for suppliers,
while they are of quite relevant position in the producers’ ranking. For both suppliers and
producers, suppliers’ green assessment and suppliers’ green monitoring are mildly attractive,
while green logistics practices are of very low interest regardless of the position of the company
along the supply chain.
When sustainability is a market qualifier pollution prevention and pollution control practices and
suppliers’ green assessment are two of the most implemented practices by suppliers, they are
also modestly implemented by producers. While network design practices and green logistics
practices are among the least developed initiatives for suppliers, they are of medium interest for
producers. There are significant differences between suppliers and producers for green
production practices that are generally more developed from suppliers than from producers.
Similarities are found for green collaboration with suppliers practices and green customer
management that are mildly implemented by both suppliers and producers.
When sustainability is an order winner green production is ranked among the most widespread
sustainable practices from suppliers, while producers have very little consideration of this
lxviii
category of practices. Both producers and suppliers dedicate consistent resources to the
development of green logistics practices, as it is considered among the first positions of the
ranking by both. On average, suppliers’ green assessment practices are more implemented by
suppliers than by producers, while they dedicate the same amount of resources to sustainable
packaging practices, suppliers’ green monitoring practices and supplies’ green assessment that
are generally a medium-ranked by both. Finally, pollution prevention and pollution control is in
general higher ranked by suppliers than by producers
Answer to RQ3 After the previous analysis on practices and on the role of company’s position along the supply
chain in practices implementation, the study moved to analyze if external and internal driving
factors had some influence on companies’ sustainable initiatives. In other words, research
question three was faced and answered.
RQ3: How external and internal drivers impact on companies’ commitment for the
implementation of sustainable practices?
Once collected the answers provided by companies, the scope was to investigate whether there
was a direct relation between drivers and companies’ efforts for sustainable practices’
implementation. Once again, it was decided to perform a dimension reduction analysis on the
nine drivers to reduce the numerousness of the sample. Therefore, an exploratory factor analysis
on drivers was conducted and the output was the identification of three factors of drivers:
3. Regulatory drivers (RD)
4. Drivers of image (DI)
5. Stakeholders drivers (SD)
Once obtained the factors, the most intuitive way to detect eventual relationships between
drivers and companies’ decision to dedicate a certain amount of resources to the development of
sustainable resources was to perform an ANOVA analysis on drivers’ factors. The following charts
have been developed to graphically explain the results obtained through the ANOVA analysis on
drivers’ factors.
lxix
The first two charts, show where the impact of regulatory drivers and drivers of image is higher.
As resulted from the ANOVA analysis, the means of highly capable companies and medium
capable companies are significantly different to those of shortly capable companies for regulatory
drivers and drivers of image. Conversely, for what concerned stakeholders’ drivers, no differences
in groups’ means where detected by SPSS. Therefore, the meaning of the three charts should now
be clear: the sketched red tringle indicates which are the clusters of firms more influenced by that
given driver. It is important to highlight that the conclusion of this analysis, is not that only highly
HIGHLY CAPABLE
MEDIUM CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
RD DI
SD
lxx
capable companies and medium capable companies are influenced by regulatory drivers and
drivers of image. Also shortly capable companies are pushed by regulatory drivers to develop
sustainable practices, since regulations is the same for all the companies of the sector. The
conclusion that can be drawn from this analysis is that, for regulatory drivers’ factor and for
stakeholders’ drivers’ factor, companies belonging to highly capable cluster have mean values
that are significantly higher than those of shortly capable companies, but not significantly
different from those of medium capable companies. Medium capable companies have mean
values that are in turn higher than those of shortly capable companies. Therefore, it can be
concluded that regulatory drivers and drivers of image are particularly impacting for those firms
that are already committed with the sustainability issue, but these is not the unique type of
companies interested by the drivers under discussion. For what concerned stakeholders’ drivers
instead, no significant differences were found in the clusters’ mean values, thus it can be said that
stakeholders’ drivers impact on all clusters in the same way.
Answer to RQ4 The answer to the fourth and last research question is most groundbreaking contribute that this
study brings to the state of art in the field of sustainable supply chain development. As such, it is
also the most articulate passage of the work. The last research question of this thesis was
formulated as follows:
RQ4: How the sustainable strategic fit between the stated strategic role of sustainability and the
actual implemented sustainable practices impacts on the environmental, social and economic
performance of a company?
While strategic fit defined by Chopra and Meindl (2012) indicated the consistency between
customer priorities of competitive strategy and supply chain capabilities specified by the supply
chain strategy, in this thesis the concept of sustainable strategic fit indicates the match between
the declared competitive role of sustainability and the actual commitment of companies in
implementing sustainable supply chain practices. This first consideration is also the most
important pillar of this work, as well as the starting point to answer RQ4. After having defined this
concept, it was wondered whether companies could be better defined according to their
sustainable strategic fit. Deepening the work of previous Authors who faced the problem of
companies’ classification on the basis of a given variable (Macchion et al., 2015; Wu and Pagell,
2011), it was assumed that survey’s subjects could be further categorized according to their
declared competitive role of sustainability. Combining this assumption with the clusters’
classification obtained by dividing companies according to their commitment in implementing
lxxi
sustainable practices (answer to RQ1), it was assumed to classify companies according to their
sustainable strategic fit or misfit and their commitment in implementing green and social
initiatives.
Considering previous research works and in particular the thesis work that preceded the current
one, there are evidences that the implementation of certain sustainable practices has direct
positive impact on triple bottom line performance. For instance, the preceding thesis concluded
that production management practices such as: use of a waste management system, the use of
recycled raw materials, the use of energy from renewable sources and the realization of
recyclable/reusable packaging, improve internal supply chain costs performance. Purchasing
practices such as: collaborations with suppliers to improve their sustainable performance have a
positive impact on the firm’s green image and reputation. Finally, the adoption of environmental
and social certification, organization of training courses for a correct use and disposal of products
for customers and employees and the sponsorship of green and social initiatives of no-profit
organizations, significantly improve stakeholders’ satisfaction level and corporate green image.
Moreover, in the recent Literature there are several papers offering insight on potential patterns
of supply chain relations for improving environmental performance (Florida, 1996a; Florida and
Davison, 2001; Geffen and Rothenberg, 2000; Green et al., 1996; Handfield et al., 2002; Sarkis,
1995). Finally, in the lights of the conclusions obtained in the preceding thesis work and in line
with a number of research papers that dealt with the relationships between implementation of
sustainable practices and the evident improvement of corporate performance (Zhu and Sarkis,
2004; Zhu et al., 2007, Samal, 2008; Zhu et al., 2008), considering also the results of some
scientific studies showing that companies implemented different practices according to the
different competitive role of sustainability in their corporate strategy (Wu and Pagell, 2011; Cabot
et al., 2009), it was reasonable to postulate that: when the sustainable strategic fit between
stated role of sustainability and effective implemented practices is in its optimal condition, then
the company experiences the highest level of triple bottom line performance. This assumption led
to the formulation of the following research hypothesis:
Hp1: Companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies.
To validate the previous Hypothesis, multiple analyses have been performed. First, the framework
developed by Chopra and Meindl (2012) has been deeply analyzed. Starting from their original
idea, a new framework was developed to allow the classification of companies based on the
sustainable strategic fit between their stated strategic role of sustainability and the actual
lxxii
implemented sustainable practices. Then, the classification initially obtained as a result of the
cluster analysis (highly capable companies, medium capable companies and shortly capable
companies), was combined with the information collected through the survey regarding the
competitive role of sustainability (desirable attribute, market qualifier and order winner). In this
way, a matrix with nine cells was built. The matrix, named sustainable strategic fit matrix,
represented a customized version of the strategic fit framework of Chopra and Meindl (2012), as
such it allows to easily identify which are the firms matching the sustainable strategic fit condition
(the ones laying on the matrix’s diagonal). However, to prove the validity of Hypothesis one,
several more steps were necessary. First, it was proved that it is not sufficient to be very good in
implementing sustainable practices to have positive performance improvement. In other words,
an ANOVA analysis between the sustainable strategic fit matrix’s rows was performed to find
whether there were significant differences in mean values. Afterwards, the same type of analysis
was run for matrix’s columns. It was investigated whether there were significant differences in
means between companies with different strategic roles of sustainability. The results of these
analyses showed there wasn’t’ a dominant class of companies over the others for what concerned
performance. Therefore, further analyses were conducted. In particular, at this point the focus of
the analyses move on the matrix’s single cell and an ANOVA analysis between matrix’s cells was
performed. Companies laying on the matrix’s diagonal were those meeting the sustainable
strategic fit condition, thus it was expected that some significant results emerged from their
comparison. It resulted that companies matching the best possible sustainable strategic fit
condition were the best performing ones. At this point it could be concluded that Hypothesis one
was supported: companies that match the optimal sustainable strategic fit condition, are
expected to experience higher performance than all other companies. The following scheme
summarizes the passages of the analysis (Fig 23.).
lxxiii
Table 5 - Steps of the analysis to answer RQ4
During the development of the sustainable strategic fit matrix, many references to the work of
Chopra and Meindl (2012) were made. Their framework was the starting point to build a new
framework customized on the sustainable strategic fit concept. The zone of strategic fit, became
the zone of sustainable strategic fit, while the axes changed name and became strategic role of
sustainability (x axis) and clusters (y axis).
lxxiv
Figure 23 - Sustainable strategic fit framework
For the construction of this model, several information collected thanks to the previous analyses
were necessary. The clusters composition developed based on companies’ commitment in
implementing sustainable practices was the first relevant information needed, the declaration of
the strategic role of sustainability was the second important datum. Combining these two
components, two sustainable strategic fit matrices were obtained: one that joined clusters with
the strategic role of environmental sustainability and one that joined clusters with the strategic
role of social sustainability
lxxv
STRATEGIC ROLE OF Environmental SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES
PR26
PR29
PR39
PR12
PR14
PR21
PR44
PR45
PR20
PR19
PR46
MEDIUM CAPABLE COMPANIES
FOR12
PR1
PR5
PR9
PR15
PR33
PR36
PR37
PR41
PR6
FOR1
PR4
FOR6
PR11
FOR8
FOR9
PR30
PR25
PR42
FOR3
FOR5
FOR10
PR17
FOR11
PR22
PR28
PR43
PR8
PR13
PR18
PR27
PR40
SHORTLY CAPABLE COMPANIES
FOR4
PR10
FOR7
PR23
PR31
PR32
PR34
PR35
PR38
PR7
PR24
PR2
PR16
FOR2
PR3
Figure 24 - Environmental sustainable strategic fit matrix
STRATEGIC ROLE OF Social SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES
PR20
PR44
PR39
PR45
PR19
PR29
PR21
PR26
PR14
PR46
PR12
MEDIUM CAPABLE COMPANIES
PR6
FOR3
FOR5
PR11
FOR10
FOR11
PR22
PR30
FOR12
PR9
PR15
PR33
PR41
PR42
PR8
PR13
PR28
PR43
FOR1
PR4
PR5
FOR6
PR27
PR37
PR25
PR40
PR1
PR18
FOR8
FOR9
PR17
PR36
SHORTLY CAPABLE COMPANIES
PR2
FOR2
FOR4
FOR7
PR16
PR23
PR32
PR35
PR7
PR24
PR3
PR10
PR31
PR38
PR34
Figure 25 - Social sustainable strategic fit matrix
lxxvi
This framework, allowed to classify companies in groups according to their sustainable strategic
fit, or misfit: overall nine groups were defined. As in the framework developed by Chopra and
Meindl (2012), firms laying on the diagonal are those meeting the sustainable strategic fit
condition. The firms laying above or under the diagonal are those mismatching the sustainable
strategic fit, thus in these situations we will say that there is a sustainable strategic misfit.
The nine groups of firms classified with this criterion, were named labels. Labels of the matrix, will
be referred to with numbers from 1 to 9:
9. Highly capable companies – sustainability is a desirable attribute
10. Highly capable companies – sustainability is a market qualifier
11. Highly capable companies – sustainability is an order winner
12. Medium capable companies – sustainability is a desirable attribute
13. Medium capable companies – sustainability is a market qualifier
14. Medium capable companies – sustainability is an order winner
15. Shortly capable companies – sustainability is a desirable attribute
16. Shortly capable companies – sustainability is a market qualifier
17. Shortly capable companies – sustainability is an order winner
Label three, as expected, is composed by the most active firms. Companies belonging to this label
are overperforming the others in terms of sustainable practices implementation. As forecasted,
companies belonging to this label, dedicated in general a higher amount of resources to the
implementation of sustainable practices with respect to the other companies. This is verified for
label three of both matrices (the one referred to strategic role of environmental sustainability and
the one referred to strategic role of social sustainability).
Companies belonging to label five are modestly performing companies. They recognize
sustainability as a market qualifier and they implement a proportionate level of practices. A
consideration similar to the one made with label three can be drawn even for this second group
of companies. This label is composed by medium capable firms that consider sustainability a
market qualifier. Therefore, one would expect a mildly level of implementation of sustainable
practices and so it is.
lxxvii
Firms included in label seven are the worst performing companies. They attribute a very little
importance to sustainability and do nothing to improve it. These are the situations in which the
sustainable strategic fit is met.
For companies belonging to labels one, two and four the sustainable strategic fit is not met.
However, they can be considered «virtuous companies» because, even if they don’t recognize
sustainability as an order winner, they implement a significant amount of practices, thus we can
reasonably think they are on the right track to include it among their competitive factors soon.
Specifically, label one is formed by companies that put a lot of efforts for the development of
sustainable initiatives, but they don’t recognize sustainability as a competitive strategic factor.
This could be interpreted in different way: these firms are still at an embryonic phase of the
development of a sustainable strategy, so they are not ready to include sustainability among the
corporate competitive factors (i.e. cost, quality, delivery time), but they already start to engage
with green and social measures in order to improve their social position. On the other hand, these
companies could be not interested in declaring their sustainability’s strategic level, anyway they
could be pretty concerned about environmental issue, thus they actively work to bring their
contribution. Similar considerations can be drawn for highly capable companies that believed
sustainability is a market qualifier (label two). These firms are already oriented towards a more
coherent position: they devote many resources for the implementation of sustainable initiatives,
however they consider sustainability as a necessary condition to compete on the market, not the
competitive advantage that allow to win bids. Even in this case, companies could be on the right
track to transform sustainability in a future order winner characteristic, however, currently, they
are underestimating its importance. Finally, firms laying in label four could still be considered
virtuous companies, as they spend medium efforts for the sustainable practices’ development,
but they have very low consideration of sustainability as a strategic factor. Here again there is a
sustainable strategic misfit between the role of sustainability in corporate strategy and the level
of implementation of green and social practices.
For companies belonging to labels six, eight and nine the sustainable strategic fit is not met
neither. Differently to the previous situation these companies are overestimating the role of
sustainability as they perform very little when implementing sustainable practices. Thus, we can
define these companies as «vicious companies». Label six, is composed by firms overestimating
the strategic position of sustainability. These companies indeed, are modestly performing in
terms of sustainable practices’ implementation, but they declare that sustainability is an order
winner to them. Again, there is a misfit, however this might be the case of companies that are
progressively incrementing their efforts towards the implementation of sustainable practices, but
lxxviii
they are still at a work-in-progress phase. Therefore, even if they are listed within the vicious
companies, in the mid-term they could develop a good level of sustainable practices. Label eight
include firms that are poorly interested in implementing sustainable practices, but that consider
sustainability a market qualifier. These subjects are slightly overestimating the role of
sustainability in their business strategy, as commented for label four, these companies are lacking
the sustainable strategic fit condition, however, if they resize their sustainability’s strategic
position declaration, or they increase the efforts dedicated to the development of sustainable
practices, they could fit in the fifth or seventh labels. Finally, the worst situation possible, it the
one of firms stating that sustainability is an order winner, but that are very poorly performing in
terms of sustainable practices’ implementation. This could be the case of companies that exploit
sustainability for marketing purposes: for instance, they could create very effective advertising
campaigns declaring sustainability as their corporate mission, but concretely they do nothing to
realize those slogans. The positive aspect, is that from the analysis performed, only one company
for both matrices matched this condition. This is an encouraging remark, as it indicates that in
general companies avoid situations of strong negative misfit.
Once the labels have been formed and deeply analyzed, the relationship between the sustainable
strategic fit, or misfit, and the triple bottom line corporate performance can be investigated. First,
an exploratory factor analysis on performance was run, and the result show that all the sixteen
performance could be well explained by five factors:
1. Productive performance (PP)
2. Service performance (PSE)
3. Environmental performance (PA)
4. Social performance (PS)
5. Performance of image (PI)
Once reduced the dimension of the performance’s answers sample, some further analyses could
be performed. Initially, the sustainable strategic fit matrix was analyzed by rows and by columns.
Even if this specific analysis is not directly providing an answer to RQ4, it contributes to correctly
define the boarders of the analysis. In particular, the following analyses have been run with the
aim to prove that it is not sufficient to declare that sustainability is an order winner to obtain
good performance, neither it is enough to devote a huge amount of resources to the
implementation of sustainable practices to get positive results. Despite this specific ANOVA
lxxix
analysis was not included in a research question, it was still meaningful as it proves that in no
other conditions, except those of optimal sustainable strategic fit, the performance’s
improvement is maximized.
After these initial analyses, some partial conclusions were drawn. There are statistical evidences
that performance are different between the three clusters of companies: highly capable, medium
capable, shortly capable and between companies declaring different strategic role of
sustainability: desirable attribute, market qualifier and order winner. However, it is not possible
to affirm that, in general, performance of highly capable companies are the highest, as, by
contrast, it is not said that performance of shortly capable companies are the worst. The same
considerations can be drawn for companies that define sustainability as an order winner or a
desirable attribute. Therefore, it is not sufficient be very efficient in implementing sustainable
practices to get the maximum results, neither it is enough declaring that sustainability is an order
winner to obtain the best performance possible.
To find which are the conditions under which the highest performance are reached, the point of
view of the ANOVA test should change. In particular, it was decided to analyze if significant
differences in mean values existed between matrix’ cells. Each cell, previously named label,
included a different group of companies. Companies belonging to different labels have different
characteristics: for instance, the firms laying on the matrix’s diagonal were those meeting the
sustainable strategic fit condition, while those outstanding the diagonal were lacking the
sustainable strategic fit condition. When the sustainable strategic fit exists, it means that the
stated competitive role of sustainability and the commitment for sustainable practices
implementation are aligned (i.e. highly capable companies – sustainability is an order winner,
medium capable companies – sustainability is a market qualifier, shortly capable companies –
sustainability is a desirable attribute). In the lights of this observation, considering also the results
obtained in the previous thesis and from the recent Literature (Florida, 1996a; Florida and
Davison, 2001; Geffen and Rothenberg, 2000; Green et al., 1996; Handfield et al., 2002; Sarkis,
1995) that both confirm that there is a relationship between sustainable supply chain practices
implementation and positive improvement in corporate performance, it is reasonable to expect
that those companies matching the optimal condition of sustainable strategic fit (highly capable
companies – sustainability is an order winner) would obtain the best performance improvement.
In other words, the following analyses are aimed at validate research hypothesis one that
postulated: companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies
lxxx
From the previous considerations, it emerged that cells belonging to the matrix’ diagonal are the
most interesting to analyze, as they represent the zone of sustainable strategic fit. Therefore, as
first thing ANOVA analysis on the three labels belonging to the diagonal of the matrices have been
run.
Figure 26 - Results of ANOVA: matrix's diagonal
These analyses focused on the diagonal of the matrices evidenced how, almost in all cases, label
three is performing better than the other two labels (five and seven). Companies belonging to
label three are those matching the optimal sustainable strategic fit: highly capable companies and
sustainability as order winner. Firms belonging to label five (medium capable companies and
sustainability as a market qualifier) instead, showed no significant differences in mean values with
cluster seven for environmental performance, and social performance, while their performance of
image are only slightly better than those of companies laying in cluster seven. In all the analyzed
cases firms that match the worst condition of sustainable strategic fit (shortly capable companies
and sustainability is a desirable attribute) have the worst performance both in terms of
environmental performance and performance of image.
lxxxi
At this point, it has been proved that companies matching the best sustainable strategic fit
condition experience better performance (environmental performance and performance of
image) with respect to firms that match the sustainable strategic fit, but not in its highest form.
The results of this analysis were meaningful as they prove that it is not sufficient to meet the
sustainable strategic fit to have good performance results, it is necessary that the optimal
sustainable strategic fit condition is met in order to see significant advantages.
Having said this, the last step necessary to validate Hypothesis one, was to prove that companies
matching the sustainable strategic fit, in its highest form, are overperforming also companies that
are mismatching the sustainable strategic fit condition, thus the ones outstanding the matrix’s
diagonal. Therefore, a further ANOVA analysis on performance was performed to see if there
were significant differences in mean values of eight of the nine labels. The ninth label indeed was
composed by only one firm; thus, it was not suitable for an ANOVA analysis.
The analysis showed that label three includes companies with the highest environmental
performance, social performance and performance of image. Firms matching the optimal
condition of sustainable strategic fit (highly capable companies that consider sustainability an
order winner) are also those encountering the highest performance. In the light on these
considerations, it can be concluded that Hypothesis one is supported, thus the basis on which
RQ4 is founded is verified and the question can be considered answered.
Conclusions This thesis had the aim to investigate the effect that a sustainable supply chain strategic fit has on
corporate triple bottom line performance. The results obtained during the project work, are
synthetized by the following conceptual map (Fig. 27):
lxxxii
Figure 27 - Conceptual map: The key messages of the analysis
The map is clearly showing what was already statistically proved in Chapter six. Undoubtedly label
three (the one matching the optimal sustainable strategic fit condition) experiences the best
performance improvement in terms of environmental performance, social performance and
economic performance. What it is interesting to note, is that it is not sufficient to meet the
sustainable strategic fit condition to obtain the maximum gain, companies must necessarily match
the optimal condition, otherwise the performance improvement is not guaranteed. For instance,
firms belonging to label five (medium capable companies – sustainability is a market qualifier) are
matching the sustainable strategic fit condition, but not it its higher form, indeed they have
average performance of image and environmental performance values. Companies laying in label
seven (the worst sustainable strategic fit condition: shortly capable companies – sustainability is a
desirable attribute) are experiencing very low performance, as expected. What is interesting, is
that companies of label six (medium capable companies – sustainability is an order winner) are
outperforming firms of label four (medium capable companies – sustainability is a desirable
attribute). Despite label six was originally counted among the “vicious” cells, it shows higher
performance than label four, that was listed among the “virtuous” ones. This is reasonably
lxxxiii
explained by the fact that, even in companies of label six are currently overestimating the
competitive role of sustainability, they are likely raising firms, hopefully they will improve their
commitment in implementing sustainable practices in medium-short term. If this happens, they
are good candidates to move in label three and match the optimal sustainable strategic fit
condition.
Managerial implications The present work has the ambition to provide managers with a guide to orient their decision
towards the implementation of a sustainable supply chain strategy. The contribution brought to
management lies not only in the identification of which are the current most implemented
sustainable practices in the furniture market, but also in the specification of which are the
initiatives preferred by highly capable companies. This information could give managers
indications on where to invest, according to the level of resources available for a given project.
Moreover, this work separates practices implemented by suppliers by those implemented by
producers, thus this study can be useful to all companies operating in the furniture industry,
regardless their position along the supply chain. Managers could have also a draft idea of which
are the drivers impacting on their decision on the implementation of sustainable initiatives, by
looking at the results of the ANOVA on drivers conducted in this work. Finally, the most
interesting contribution that this work brings to managers, is a proxy of how their performance
will change according to their position with respect to the sustainable strategic fit condition.
1
2
1 Introduction
3
Companies’ growing sensitiveness towards environmental issues, the need to comply with the
more and more frequent regulations, the need to increase the quality of the products and, at the
same time, to reduce production costs, new market opportunities, improvement of corporate
image and reputation and, finally, increasing concerns about climate changes, are just some of the
variables enhancing the interest of companies towards the role of sustainability in the definition
of Supply Chain strategy.
The growing pressures from the market, caused also by the scarcity of natural resources and
increased pollution, have brought the sustainable supply chain theme among the most important
business decisions. Managers face the sustainability challenge in their daily activities and are
growingly becoming aware of the fact that there is a link between green and social practices and
businesses’ success. Sustainability is no longer a purely environmental concept, while it is
becoming a strategic component.
Both Scholars and Practitioners are dedicating much efforts on the development and
improvement of instruments for the integration of sustainability in the daily business activities.
Customers are becoming more and more aware of their purchasing behavior and their buying
decisions are increasingly led by the general environmental and social concerns. Therefore,
companies are somehow forced to review their products’ range in order to provide to customers
what they demand. Despite the attention towards the sustainable theme is undoubtedly raising,
companies that managed to develop a fully sustainable corporate strategy are still rare. The
difficulty that firms face when they try to integrate sustainability into their business strategy, is
the lack of a structured framework that clearly guide them in the decision-making process.
These considerations have been drawn after a wide Literature review phase, this activity
highlighted that there are not defined and unambiguous guidelines for the correct integration of
sustainability into the corporate strategy as a competitive factor. Moreover, there is a lack of
frameworks showing how this integration impacts on sustainable supply chain practices.. The
impact that the implementation of sustainable practices in businesses has on TBL performance
(environmental, social and economic) is not shaped by a defined model. Moreover, there is not an
unambiguous version of the nature of this relationship. Finally, from the Literature review it
emerged that there are few studies dealing with the topic of the strategic fit between customer
priorities of competitive strategy and supply chain capabilities. Moreover, there are no references
to the sustainable counterparty of the strategic fit concept which in this study will be defined as
“sustainable strategic fit”.
4
This thesis project’s aim, is to investigate the challenging theme of sustainability along the supply
chain that is considered of extreme interest and actuality. Moreover, some contributions to the
state of the art were brought by the validations of four key question How companies can be
classified according to their commitment in implementing sustainable practices? Being the
strategic role of sustainability equal, what are the sustainable practices implemented by
manufacturers and suppliers? How the external and internal drivers impact on the company’s
commitment to implement sustainable practices How the sustainable strategic fit between the
stated strategic role of sustainability and the actual implemented sustainable practices impacts on
the environmental, social and economic performance of a company? These are the research
questions that will be answered in this thesis.
This work is focused on the wood and furniture industry and analyzes which are the most
implemented green and social practices by components suppliers and furniture manufacturers.
This thesis also aims at investigating what are the impacts that drivers have on sustainable
practices implemented by companies. Moreover, this study introduces and defines an innovative
theoretical concept: “sustainable supply chain strategic fit”. This expression has been developed
starting from the definition provided by Chopra and Meindl (2012) of “strategic fit”. While
strategic fit indicates the consistency between customer priorities of competitive strategy and
supply chain capabilities specified by the supply chain strategy, sustainable supply chain strategic
fit identifies the match between the declaration of strategic role of sustainability and the
implementation of a coherent amount of sustainable practices. Finally, this thesis project analyzes
which are the effects that the presence, or the lack, of a sustainable strategic fit has on corporate
triple bottom line performance.
5
2 Sustainability
6
2.1 Sustainable Development Definition In 1987 the World Commission on Environment and Development (WCED) introduced for the first
time the concept of sustainable development in the report entitled “Our common future” also
known as the Brundtland Report. In particular, sustainable development was defined as:
The development that meets the needs of the present without compromising the ability of future
generations to meet their own needs.
The previous one is the most common and widely accepted definition of sustainable development
and it highlights primarily two concepts: the first refers to the basic needs among the world’s
poorest, while the second refers to the technological and social organizational constraints that
affect the ability of the environment of meeting the present and future needs. This definition
allowed the Commission to link together the concepts of poverty alleviation, environmental
improvement and social equitability through sustainable economic growth.
The need for the definition of a new concept of development, stems from the fact that yet many
of us live beyond the world's ecological means, hence sustainable development requires that
societies meet human needs both by increasing productive potential and by ensuring equitable
opportunities for all. Moreover, human activities and interventions on ecosystem are becoming
more and more drastic and invasive and they are seriously threatening the natural regenerative
capacity of the Earth. Sustainable development aim is not to endanger the natural systems that
support life on Earth, while ensuring a resources consumption in line with the Earth’s carrying
capacity in order to foreclose as few future options as possible. In essence, according to the
Brundtland Report, sustainable development is a process of change in which the exploitation of
resources, the direction of investments, the orientation of technological development and
institutional change are all in harmony and enhance both current and future potential to meet
human needs and aspirations.
Since the publication of the Brundtland Report, sustainable development has increased its
importance and it has gradually become a central topic of the daily business activities. However,
the definition provided by the World Commission on Environment and Development (WCED) has
been frequently criticized and regarded as ambiguous and open to interpretation and this led to a
proliferation of different interpretations of the concept. One of the major critic moved to the UN
definition, is the one made by Taylor (2002). In his work, the Author stated that the needs of the
future generations are difficult to forecast and they could differ from the needs of the presents.
7
Moreover, he added that the needs’ perception of the developed countries is completely
different to the one of the developing countries.
According to Holmberg (1994), by 1994 there were already more than 80 different definitions and
interpretations of sustainable development fundamentally sharing the core concept of the
WCED’s definition. Even today, nearly after twenty years from the draft of the Brundtland Report,
Scholars still do not agree on an unambiguous definition of sustainable development. As stated by
Daly (1996), although there is an emerging political consensus on the desirability of something
called sustainable development, this term—touted by many and even institutionalized in some
places—is still dangerously vague. Goldin and Winters (1995) defined the concept as “elusive”,
while Tryzna (1995) described it as “an oxymoron” and Holmberg (1994) stated that sustainable
development as a concept has become devalued to the point where, to some, it is now just a
cliche´ (Desta Mebratu ,1998).
Nonetheless, today we commonly agree in considering the Report “Our Common Future” the
starting point for the current debate on sustainable development, even if still many other
definitions and interpretations of the concept are present in Literature. One for all, can be
mentioned the version of the World Business Council for Sustainable Development (WBCSD)
which claims that:
Sustainable development involves the simultaneous pursuit of economic prosperity, environmental
quality and social equity. Companies aiming for sustainability need to perform not against a
single, financial bottom line but against the triple bottom line.
As stated in the charter of WBCSD: business leaders are committed to sustainable development,
to meet the needs of the present without compromising the welfare of future generations. This
concept recognizes that economic growth and environmental protection are inextricably linked,
and that the quality of present and future life rests on meeting basic human needs without
destroying the environment upon which all life depends (Schmidheiny 1992). We can consider the
interpretation provided by the World Business Council for Sustainable Development (WBCSD) as a
direct extension of the WCED definition, moreover it asserts that economic growth will be an
essential ingredient for the future sustainability and the requirement for clean, equitable
economic growth remains the greatest difficulty within the larger scope of sustainable
development.
8
2.2 The Triple Bottom Line
The concept of the Triple Bottom Line (Fig. 28) mentioned in the WBCSD’s definition of
sustainable development, derives from the work of John Elkington (1997) entitled “Cannibals with
Forks” in which the Author introduces a very innovative approach to the measurement of
sustainability.
Figure 28 – Sustainability: the Triple Bottom Line (Craig R. Carter and Dale S. Rogers, 2008)
In the late 1990s, John Elkington coined the expression Triple Bottom Line and he defined is as
A framework for measuring the performance of the business and the success of the organization
using three lines: economic, social, and environmental.
It has been conceived as a sustainability-related construct, but while sustainability is quite an
established concept that may be dated back to over 130 years ago, the TBL concept became very
popular only after the definition of sustainable development in the Brundtland Report in 1987.
The TBL concept goes beyond the traditional financial aspect of a company and focuses also on
the impact of the company’s activities on the surrounding environment. In other words, it goes
beyond the traditional measures of profits, return on investment and shareholder’s value and it
includes also environmental and social dimensions. Consequently, companies adopting this
approach must improve not only their economic performance, but also their ecological (or
environmental) and social ones.
9
In his interpretation of the Triple Bottom Line, Elkington used together the terms: people, planet,
and profit (the three Ps). He argued that TBL expresses the expansion of the environmental
agenda in a way that integrates the economic and social lines (Elkington, 1997). In this study, the
economic, social, and environmental lines referred to profit, people, and planet respectively.
- The Environmental dimension: Environmental sustainability refers to the fact that we
must live respecting the natural Earth’s regeneration capacity. In order to do so, we must
be sure to consume the planet’s natural resources such as materials, energy fuels, land
and water at a sustainable rate which is at least equal to the Earth regeneration capacity.
Not all the resources have the same rate of depletion, some are more abundant and long-
lasting than others, therefore we need to consider material scarcity and the damage
caused to environment from the extraction of some materials. An environmentally
sustainable system must guarantee a stable resource base, avoiding an over-exploitation
of renewable resources and ensuring the depletion of nonrenewable resources only when
the investment requires it. The conservation of natural resources and ecosystems and the
preservation of the diversity of species is essential for sustainable economic production,
while market mechanisms often do not act in an environmentally friendly way, but they
tend to deplete and degrade natural capital.
Thus, the environmental line of TBL refers to engage in practices that do not compromise
the environmental resources for future generations. It pertains to the efficient use of
energy recourses, reducing greenhouse gas emissions and minimizing the ecological
footprint. (Goel, 2010).
- The Social dimension: Organizations, communities and, in general, societies must not only
be environmentally sustainable, but they must be also socially sustainable. B. Chabowski
et al. (2011) stated that social sustainability should be seen as a process for creating
sustainable, successful places that promote wellbeing, by understanding what people
need from the places they live and work.
With the term social sustainability, we mean the ability of a social system to achieve and
maintain over the long run a social well-being. Social well-being can be considered
completely matched when all its five dimensions are satisfied: social integration, social
contribution, social coherence, social actualization and social acceptance. Speaking in
general terms, a socially sustainable system must ensure an adequate provision of social
services including health and education, gender equity and political accountability and
10
participation. All the previous ones are crucial elements of development and all of them
are interrelated with environmental sustainability. In terms of sustainability, a moderate
level of consumption, together with strong social institutions and a healthy environment,
represents a better ideal than ever-increasing consumption (Durning, 1992). Thus, the
concept of sustainability goes beyond the limits on populations or restraints in
consumption, it means that the choice of goods and technologies must be oriented to the
requirements of ecosystem integrity and species diversity as well as to social goals.
All the previous considerations lead to conclude that the social line of TBL refers to
conducting beneficial and fair business practices to the labor, human capital, and to the
community (Elkington, 1997). In other words, the social dimension refers the company’s
impact on its employees and the social system within its community.
- The Economic dimension: Economic sustainability consists in the efficient use of a
business’ resources to consistently produce an operational profit that allow the company
to sustain its activities in the long term. Economic sustainability encompasses various
aspects of supply chain management: it focuses on healthy cash flow, good profit margins
and proper return on investment, business performance improvement and competitive
advantage (K. McCormack et al., 2008; D. J. Ketchen et al, 2011). The costs for
environmental protection are usually not so onerous and, in many cases, the cost savings
from using resources more wisely and the reputational advantage in attracting customers
from being known as a “green” organization, increases organizational profitability (A.
Bernstein, 2008; J. Pfeffer, 2010).
Thus, it can be concluded that the economic line of TBL framework refers to the impact of
the organization’s business practices on the economic system (Elkington, 1997). When
talking about economic dimension of a company we are typically referring to company’s
financial performance, the flow of capital, and their economic involvement in society. In
the vision of the Elkington (1997), the economic aspect is considered one of the
subsystems of sustainability able to survive and evolve into the future and ensure a
sustainable future for the generations to come. In other words, the economic line
represents the link between the organizational growth and the growth of the economy
and how well the first is contributing to the development of the second by strengthening
its capability to support future generations.
11
2.3 Criticism to the definition of Triple Bottom Line
By defining the Triple Bottom Line, John Elkington introduced a brand-new way for businesses and
nonprofits to measure their performance, he allowed organizations to apply the TBL concept in a
manner suitable to their needs and to evaluate the consequences of their decisions from a truly
long-run perspective. By the way, the Triple Bottom Line definition provided by Elkington still
presents some mismatches: for instance, if we consider the contributions of the three
components as independent of each other, they cannot be algebraically summed. This is because
it’s quite hard to measure the contributions of environmental sustainability in monetary terms,
which is indeed the way in which social and economic sustainability are measured. It is
fundamental to highlight how those dimensions are strictly related between each other and so
they should not be considered as independent elements, but they should be analyzed in
systematic vision, as elements that together contribute to achieve the common goal. (Payman Ahi
et Cory Searcy, 2014). This means that each intervention should consider the mutual connections.
In case the planning options prioritize only one or two of the three dimensions, then the
sustainable development condition is not met.
A further, politically-oriented, criticism that has been moved to the three-pillars theory, is the one
claiming that this approach would likely reinforce the status quo, by legitimizing the existing goals
of the society, rather than moving towards a more dynamic future scenario. Another more
conceptual critique to the TBL theory states that, by keeping such a clear distinction between the
economic and the social dimensions of sustainable development, the model contributes to
strengthen the idea that economy can be treated as a separate sphere, detached from the social
context, within which all human activities are embedded. This radical critique considers the three
pillars representation as a false consensus, which reflects fundamental flaws in the relations
between human societies and their environment. (Passet, 1996; Le Bot, 2002). A third criticism to
the Triple Bottom Line states that, due to the structural and conceptual differences between the
three dimensions, it is possible that conflicts occurred. The model does not explain how to solve
those eventual conflicts, moreover it is not clear which is the qualitative importance of each of
the three dimensions and how they should be collocated in a hierarchy.
Despite, even today, the TBL model is openly criticized by a portion of Academics, it is still
considered by businesses, nonprofits and societies the most effective tool for the measurement
of corporate financial, social and environmental performance and the only way companies have
to correctly involve all the costs in the creation of firm’s business.
12
2.4 The social dimension of the TBL Among all the three dimensions of sustainable development, the social one is still the weakest
and has been somewhat neglected in past discussions in comparison to the other two pillars.
What emerged from the Literature review, is how the major part of the sustainability studies
focus primarily on the environmental sphere. Until recently indeed, sustainable development was
mainly perceived as an environmental issue, concerning the integration of environmental aspects
into economic decision-making. Conversely, in past, there has been a lack of attention towards
the economic and the social spheres. As witnessed by several Authors, among which we can
remember Jennings e Zandbergen (1995), Shrivastava (1995a) and Starik e Rands (1995), the
models and the indicators related to the social and environment dimensions of SD are very often
qualitative and approximate.
It is not possible to analyze social aspects with the same analytical tools that are commonly used
for ecological and economic features. As noted by M. Lehtonen (2004) in his work, the reflexivity,
multidimensionality and relational character of the social aspect are the source of the difficulty, if
not impossibility, to quantify most social phenomena. Despite the interest towards this aspect of
sustainability is increasing in the last years, it is far more difficult to quantify social aspects than
economic growth or environmental impact and consequently, the social sphere, is still the most
neglected element of triple bottom line reporting. Seuring (2013) found that a large share of
papers dealing with sustainable development do not mention at all the social aspect, while most
of the studies declaring to deal with Corporate Social Responsibility (CRS) in their titles, then
usually model environmental issues, but not social impacts related ones.
Anyhow, in the last decade, the interest towards the social dimension of sustainable development
has been awakened also thanks to the structural changes that have affected the modern society.
Recently there has been an increase in the number of papers addressing the social dimension by
investigating various social aspects: community issues, corporate governance, diversity
consideration, employee relations, human rights and diversity, educational and ethical
considerations, training and development (B. Chabowski et al., 2011; A. Scott, 2011). Moreover,
the Academic Literature is paying increasing attention to the role of institutions, governance and
social capital in the development process.
2.5 Sustainability Definition The concept of sustainability has been interpreted in a variety of ways, from an inter-generational
philosophical position to a multi-dimensional term for business management. In the very first
13
studies on the theme, the term sustainability was mainly associated with the environmental issue
but, recently, sustainability initiatives are increasingly adopting a triple bottom line
(environmental, economic and social) approach. This approach involves a higher number of
interacting factors; thus, a higher degree of complexity can be expected.
In 1972 a group of academics and diplomats got together in the so-called Rome Club to discuss
about the limited natural resources availability. In that occasion the theme of sustainability was
addressed for the first time in an exhaustive and detailed way. Some years later, after the
publication of the Brundtland Report (1987), sustainability started gaining greater and greater
popularity and an increasing number of scholars tried to find an appropriate definition and model
for it.
Today, it is acknowledged that the original definition of sustainable development is the one
provided by the World Commission on Environment and Development: the development that
meets the needs of the present without compromising the ability of future generations to meet
their own needs. It is also known that the idea of sustainability is strictly related to the concept of
sustainable development, but, despite the large number of studies facing the sustainability
theme, there is not yet an unambiguous interpretation of the concept, indeed in Literature there
are over 200 definitions of the term.
Originally, the term sustainability was just a mere subject of business disciplines’ papers, (i.e.
management and operations), as time went on, it increasingly became a theme of central
relevance also for organizations and industries and, only recently, companies are beginning to
fully accept and integrate sustainability in their corporate activities. From a study conducted by
KPMG resulted that in 2004 68 percent of the Global 250 firms generated a separated
sustainability report including environmental, social and economic issues. This can be considered
a very good result if we consider that in 1999 most of those companies only produced an
environmental report. Despite the previous figures are positive, an overall review of the Literature
on the sustainability theme shows that this argument has been inconsistently addressed and
applied in the extant research.
Starik and Rands (1995) defined sustainability as the ability of one or more entities, either
individually or collectively, to exist and flourish (either unchanged or in evolved terms) for lengthy
timeframes, in such a manner that the existence and flourishing of other collectivities of entities is
permitted at related levels and in related systems. According to Shrivastava (1995a), sustainability
consisted in offering the potential for reducing long-term risks associated with resource depletion,
14
fluctuations in energy costs, product liabilities, and pollution and waste management. To Dovers
and Handmer (1992) sustainability is the ability of a human system, natural or mixed, to resist or
adapt to endogenous or exogenous change indefinitely. For Elkington (1994), creator of the Triple
Bottom Line, sustainability is the balance between the three pillars: environmental, economic and
social. Drummond and Marsden (1999) indicated that, in environmental terms, sustainability is
more narrowly related to the resilience of ecosystems: that is their ability to withstand varying
types of stress. Ideally, sustainability is achieved where an activity occurs without damaging its
supporting ecological system(s). Shiva (1992) went further by stating that true sustainability
demands that ecological principles are incorporated into production processes to reshape them
and that conservation has to be both the basis and the foundation of production.
Sustainability is therefore a term that can have different and often opposed meanings when
applied to economic, social or environmental situations.
2.6 Literature inconsistencies
Surveying the Literature revealed an inconsistent use of the expression sustainable development.
Several studies, indeed, claim to address the SD issue, but then they actually deal with just one or
two of the three known pillars of sustainability (economic, social, environmental). Moreover, in
Literature, there are several works in which the concepts of sustainable development and triple
bottom line are wrongly used interchangeably. This confusion is mainly given by the lack of a rigid
framework for sustainable development that consequently lead to a non-consistent definition of
the term. Conversely the expression triple bottom line is nearly always properly used and the
definition coined by John Elkington is the most widely accepted in Literature.
In 2015 Hanan Alhaddi faced the problem of the conceptual discrepancy between the SD and the
TBL concepts. By analyzing several works dealing with both topics, the Author noticed how some
studies, that claimed to address the triple bottom line issue, actually focused only on one of the
three lines composing the complete concept of TBL. For example, Bibri (2008), in his study on the
corporate value creation resulting from the implementation of sustainability/CSR communications
practices, used the term sustainability to refer only to the social line. In 2009 Yan, Chen, & Chang
refer to sustainable development exclusively as environmental sustainable development, not
considering the social and economic contributes. Finally, some of the sustainability papers
analyzed by Hanan Alhaddi (i.e. Dewangga, Goldsmith, & Pegram, 2008; Frame & Newton, 2007),
considered only two of the three characterizing pillars of triple bottom line. Just a handful of the
15
investigated studies (i.e. Collins, Steg, & Koning, 2007; Kirchgeorg & Winn, 2006) correctly include
the economic, social and environmental aspects in their discourse on sustainable development.
In the following table (Table 6) is reported the summary of the studies analyzed by Hanan Alhaddi,
highlighting which are the lines of TBL on which the different papers focused more about.
Table 6 - Summary of Sustainability Studies (Hanan Alhaddi, 2015)
In Literature, there is no real consensus about the definition of sustainability and, although of
quite different meaning, sometimes the concepts of sustainable development and sustainability
are erroneously used interchangeably. It is important to understand the difference between
them, and how the two concept interact between each other.
There are either some commonalities or significant differences between the concepts of
sustainability and sustainable development. Both acknowledge that there is a limit to biophysical
and human resources because the planet does not have an endless supply of matter and energy
(Brown et al. 1987; Cairns 2000; Huesemann 2004; Pulselli et al 2009). As with sustainability,
sustainable development is also recognized to have interconnected elements, but for SD this is
usually reduced to three pillars model: social, environmental and economic (Elkington 1998).
Sustainability is often put forward as a goal, while sustainable development can be considered as
the guide for our behavior as humans if the achievement of sustainability is the aim (Goodlan and
Daly 1996).
16
It is the addition of the term “development” that results in the greatest difference between
sustainable development and sustainability. This is the reason why sustainable development is
different from sustainability, it does not imply growth. Even if often the concepts of sustainability
and sustainable development are wrongly used in an interchangeable way, sustainable
development is still preferred over the idea of sustainability by international development and
conservation organizations, as well as national governments (Robinson 2004).
Sustainability Sustainable Development
System of focus All systems, natural social and
economic
Primarily economic, then social
and political
View on economic growth
Economic growth cannot occur
without damage to the
environment (Meadows et al.
1972; Jackson 2009)
Economic growth can be
achieved without environmental
damage (Beder 2002)
Concerns
Persistence and nourishment of
the global system
Alleviating poverty while
achieving industrialization, and
entrance to a cash economy
(Sachs 2007)
Table 7 - Comparison of Sustainability and Sustainable Development (Helena Bender, 2012)
At its embryonic phase, sustainability was only related to nature, biological resources and physical
resources, so originally the term sustainability was referred only to the environmental sphere.
Nowadays the notion has been extended to include the social and economic aspects, where the
goal in not a sustained level of physical stock or physical production from an ecosystem over time,
but some sustained increase in the level of societal and individual welfare (Dixon and Fallon, cited
in Craig. 1989). Some Scholars considered sustainable development as a term that ultimately gave
priority to development, while the idea of sustainability as primarily linked with the environment.
So, what is the relationship between sustainability and sustainable development? Sustainability
can be considered as the ultimate goal or the destination to reach, in order to achieve this
objective there is need for a framework or a process: the framework of sustainable development
is the mean to achieve sustainability.
17
3 Sustainability as a
competitive factor
18
3.1 Introduction to the theme of sustainability as a
strategic competitive factor So far, sustainability has been presented with its historical meaning: a necessary condition to
reduce long-term risks associated with resource depletion, change in energy costs, pollution
management and waste generation. Until few years ago, the public opinion was that the attention
towards environmental issues was just a branch of corporate social responsibility, with
implications purely ethical and moral (Chiesa and Utizi, 2014). Sustainability was not intended as a
business’ related concept. However, in recent years practitioners have realized that sustainability
is becoming a constant in their daily business decision. Moreover, companies are increasingly
realizing that sustainability, when correctly integrated in the corporate strategy, can be source of
competitive advantage. Therefore, today sustainability is no longer conceived as a merely
environmental theme, but it is included among the traditional business competitive factors. In the
following sections, the evolution of the strategic role of sustainability will be further detailed,
moreover an overview of the most diffused environmental strategies is proposed, finally the
theme of sustainability as a competitive factor is addressed.
3.2 Evolution of the strategic role of Sustainability
Until recently, the concepts of strategy and sustainability were considered two different worlds
with no interactions between each other and corporate performance were defined and perceived
exclusively in terms of profitability. As environmental concerns have proliferated, various
approaches to sustainable management have been developed. In some cases, companies claim
their environmental strategies without putting real efforts in green initiatives: they just include
some environmentally friendly slogan in their advertising campaigns, but actually they do nothing
to improve their sustainable position. In some other cases instead, the environmental effort of
companies is real, but it is not apparent from the products or service they are delivering.
Seung-Kyu Rhee and Su-Yol Lee (2003) focused on the relationship between what corporations
say externally or internally – the rhetoric of environmental strategy – and what corporations do –
the reality of environmental strategy. The Authors defined rhetoric as a company’s environmental
intention declared externally or internally in formal arguments, including written and published
symbolic statements, declarations and slogans about environmental management. They defined
reality as realized decisions to deploy resources and commitment to environmental management,
and the specific elements of environmental management in practice. Even if in the last decade the
growing importance of environmental and social issues have driven many companies to
19
implement specific environmental or social management systems, rarely these systems have been
fully integrated with the general management system of the firm. Consequently, often
environmental and social management is not directly linked to the economic success of the firm.
Corporate performance, are no longer perceived by companies exclusively in terms of
profitability, they are also measured through environmental and social performance. Although
these latter do not substitute financial performance as a corporate objective, they still represent a
core part of the strategy of the firm firms (Pava and Krausz, 1996; Griffin and Mahon, 1997;
Wagner, 2001; Schaltegger and Synnestvedt, 2002). According to executives, indeed,
sustainability is becoming a more strategic and integral part of businesses. In past, when in
research surveys the reasons for pursuing sustainability where asked, companies’ managers
mainly mentioned cost cutting reasons or reputation management. For instance, when in 2008
McKinsey spread a questionnaire asking what executives thought about climate change, the 60%
of respondents answered that they believed it was strategically important, but slightly more than
a third were actually doing something real about it. This gap could be referred to the fact that the
theme was quite new and complex and executives needed to start engaging with environmental
activities. In 2014 McKinsey disclosed the results of a survey performed to define the
sustainability strategic worth (Fig. 29), it showed that the 43 percent (and the largest share) of the
respondents said that their companies seek to align sustainability with their overall goals, mission,
values; up from 30 percent who said so in 2012.
20
Figure 29 - More and more companies are addressing sustainability to align with their business goals
(McKinsey, 2014)
Companies that have already appreciated the benefit in developing aggressive sustainability
strategies, managed to dramatically decrease their costs, they reduced their environmental risks
and created profitable sustainability initiatives with new products, markets and even entire
business models. They understood that sustainability is a core strategic focus they must integrate
into their broader corporate strategy.
Despite a growing number of firms is understanding the potential of sustainability as a
competitive advantage, its integration into business principles is still a hard challenge for
companies. The major reason behind this difficulty, is that firms have few knowledge about the
strategic management tools available to integrate sustainability into corporate strategy. One of
the methodologies that in Literature is proposed for this purpose, is the development of a
sustainable balanced scorecard. The Balanced Scorecard of Kaplan and Norton is an effective
management tool that supports the successful implementation of corporate strategies. It claims
to identify the major strategically relevant issues of a business and to describe and depict the
causal contribution of those issues that contribute to a successful achievement of a firm’s strategy
(Kaplan and Norton, 1997). As such, it is also a promising candidate tool to incorporate
environmental and social aspects into the main management system of a firm. Balanced
scorecard indeed overcomes the shortcomings of conventional approaches to environmental and
social management systems by integrating the three pillars of sustainability into a single and
global strategic management tool.
The balanced scorecard assists the identification and the management of simultaneous
improvements of environmental, social and financial business goals. One of the characteristics
that make BSC a particularly suitable arrangement for the integration of all three sustainability
dimensions, is the possibility to consider also soft factors which cannot be monetized such as
environmental and social aspects (Senn, 1986). There are basically three ways to integrate the
social and environmental aspects into the balanced scorecard: first, environmental and social
aspects can be integrated in the existing four standard perspectives. (Second, an additional
perspective can be added to take environmental and social aspects into account. Third, a specific
environmental and/or social scorecard can be formulated (Deegen, 2001, p. 50; Epstein, 1996, p.
73; Figge et al., 2001a, 2001b; Sturm, 2000, p. 374).
21
A derived environmental or social scorecard can only be formulated after at least one of the two
first variants has been realized for the core scorecard system. The first step to build up a
Sustainable Balanced Scorecard (SBSC) is always the integration of the strategically relevant
environmental and social aspects into the core BSC. After that, the second step consists in the
formulation of a derived environmental/social scorecard. The first two alternatives of structuring
an SBSC are not mutually exclusive. Given the characteristics of the two alternatives, as outlined
above, it is clear that the difference lies mainly in the characteristics of the strategically relevant
environmental and social aspects. For example, it is straightforward to integrate those
strategically relevant environmental or social aspects that are already in the market system (e.g.
environmental costs). Conversely if environmental and social aspects go beyond the market
environment (e.g. complaints of neighbor groups), then an additional, non-market perspective is
necessary.
3.3 The change in Environmental Corporate Strategy
Companies have been led to consider natural environment as part of their strategic management
by the external pressures coming from public opinion, regulations, green movements and
financial enterprises and by the internal drivers related to the change in employees’ awareness
(Azzone et al., 1997). Academics and practitioners have attempted to improve understanding of
firms’ environmental strategies by characterizing their environmental actions. The corporate
environmental strategy of a firm can be determined by which environmental management areas a
company emphasizes and what level of resources it puts into those chosen areas. These
differences of choice, are shown to be distinctive environmental strategic types. Lee and Rhee
(2007) defined environmental strategy as a firm’s selection of the width and depth of
environmental-friendly practices and activities. The width and the depth of a corporate
environmental strategy are defined as the range of decision areas where environmental issues are
considered, and the degree of environmentally adopted responses, respectively. The
environmental decision areas that firms must consider in their environmental management
include: product, process, organization and systems, supply chain and recovery, and the external
relationship related decision area (Rhee and Lee, 2003).
As the above definition states, a firm’s environmental strategy may differ according to the width
and the depth dimensions. For example, if a company deals with environmental practices in
different areas, its choice is considered wide. Conversely if a company decides to concentrate a
large amount of resources on a single area, its choice is shown to be deep.
22
Lee and Rhee (2007) categorized companies according to their approaches towards environment,
they detected a four-type model for environmental strategies:
- Reactive: Reactive strategies are applied for low levels of environmental responsiveness,
Companies that have this type of strategy often ignore their environmental issues. Their
major concern is the pollution control and compliance with regulations
- Focused: Focused strategies are applied for high levels of environmental management,
companies adopting this strategy decide to focus their efforts in narrow decision areas,
but they usually put many resources in those areas.
- Opportunistic: Opportunistic strategies are applied for a medium level. Companies can be
classified as having an opportunistic strategy if they devote resources to all decision
areas, but do not try to develop their level of environmental management in all decision
areas at the same time.
- Proactive: Proactive strategies are applied to the latest environmental practices, those
companies that have environmental concerns in all management decision areas and
deploy the most advanced environmental practices can be put into the proactive strategic
group.
Most Literature studies on environmental management prove that corporate environmental
strategies change over time. In general, this change has been approached in two ways:
institutional perspectives and resource-based perspectives (Bansal, 2005). The first acts at a
macro level of analysis, in brief it tries to reveal how corporations and societal players build the
consensus around emerging environmental issues and how they develop and diffuse
“environmentally sound” associated concepts or practices (Marshall et al., 2005). The resource-
based view (RBV) is typically used in the field of environmental management to explain the
environmental strategic change. It argues that differences in firms’ behaviors and performance
can be understood from the specific resources and capabilities that they have (e.g. Barney, 1991;
Amit and Schoemaker, 1993).
Lee and Rhee (2007) proposed a new framework (Fig. 30) to explain the environmental strategic
change by integrating the institutional change at a macro-level and resource-based argument at a
firm level. The model has two dimensions:
1. The environmental strategy
23
2. The time
The choice of these two dimensions is given by the fact that companies may adopt different
environmental strategies in different moments, according to their internal corporate factors (Lee
and Rhee, 2005). The time dimension has been included considering the fact that a company can
change its environmental strategic type as time goes on. Based on this framework, the Authors
elaborated two propositions regarding the change in environmental strategy:
P1a. Environmental strategy of firms changes over time
P1b. There is a tendency moving towards a more proactive position in the change of
environmental strategy
Figure 30 - Framework on the change in corporate environmental strategy
In recent decades, the costs of environmental exploitation are growing fast, both on the input
side (i.e. raw materials and energy, because of resource scarcity) and on the output side (the
environment is less and less able to absorb rising emissions). Therefore, a growing attention is
paid to environmental protection, emphasizing the need for orienting the business towards more
sustainable models. The importance of the environment has grown as a strategic variable,
highlighting also opportunities and advantages arising from the implementation of sustainable
strategies. In order to exploit such benefits, the concept of environmental sustainability has to be
fully integrated into the business strategy. In Literature, there are different taxonomies and
classifications of sustainable strategies, one of the most widespread and widely accepted is the
one proposed by Wilson (1975). Wilson identified four possible business models which reflect the
24
ways in which companies address sustainable issues: Reactive, Defensive, Accommodative,
Proactive.
- Reactive: According to this approach, every action undertaken by the firm to reduce the
environmental impact should be implemented only if it means an economic return
(Walton, 1998). The firm perceives the sustainability as a constraint that must be
respected, the implementation of this type of strategy does not require the involvement
of the top management, nor a specific training for the employees. The firm allocates a
limited amount of resource to the implementation of sustainable initiatives; it limits itself
to comply with norms and regulations.
- Defensive: This second approach foresees a limited integration of sustainability in the
business strategy. The defensive behavior is usually the reaction to the costs' constraints,
managers devote few time to the sustainability issues, but compared to the reactive
strategy the firm allocates a higher amount of resources to the environmental
management tasks (Henriques e Sadorsky, 1999). For example, unlike in the reactive
case, in this case there is a piecemeal involvement by the top management and also a
little need for employees' environmental training and involvement. The underlying reason
for the implementation of this strategy is not to reach a competitive advantage through
sustainability, but to comply to the existing rules: for this reason, the defensive strategy is
also called “compliance strategy” (Roome, 1992). Defensive strategy aim to guarantee the
business continuity and the profit generation (Bettis and Prahaland, 1995). The search for
efficiency and the costs reduction are often disclosed to minimize the risk of penalties and
to enhance the company's reputation (Schaltegger et al., 2011).
- Accommodative: This approach implies a significant integration of sustainability into the
firm. It means limited changes to the internal processes, but it considers also the social
and environmental objectives such as: the environmental protection, eco-efficiency and
the employees' health and safety. The environmental management is a worthwhile
function and managers are available to the possibility of an organizational change, thus
some environmental and social trainings are provided to employees. In general,
accommodative strategies integrate environmental and social aspects in the major part of
the business processes, without questioning the profit generation as a company's final
goal of the core business of the company (Schaltegger et al., 2011).
25
- Proactive: This is the higher level of integration of sustainability into the business
strategy. Proactive strategies integrate environmental and social objectives into the firm's
strategy in order to contribute to the sustainable development of the company and of the
society. The core business, all the internal activities and processes and the overall
products range are geared towards a sustainable approach to business. The definitions of
core concepts, such as costs and corporate risks, are modified to integrate possible
negative externalities (i.e. costs and environmental or social impacts). The search for
efficiency, the ability to innovate and the customer's satisfaction are oriented towards
sustainability. According to this approach, sustainability is a source for competitive
advantage and a crucial aspect for the majority of the firm's stakeholders.
While the reactive strategy ignores the environmental and social aspects, only the other three
approaches are useful to analyze the relation between sustainability and business strategy and
integrate the social and environmental objectives into the core business of companies
(Schaltegger et al., 2011).
Handfield et al. (1997) detected six different modes or phases of response to sustainability:
- Resistant adaptation: the typical response of firms to regulation in the period between
1970 and 1985 has been described by Walley and Whitehead (1994) as “resistant
adaptation”. This approach consisted in finding the cheapest way to comply with
environmental regulations and adopting it. Companies characterized by this attitude
towards environmental legislation generally do not internalize sustainability nor develop
business strategies to deal with environmental or social questions. They comply with
regulatory framework just because a noncompliance would mean severe financial
penalties.
- Embracing without innovating: Walley and Whitehead (1994), placed a different line of
thought of response to regulation in the period between 1985 and the early 1990. They
defined it as the period characterized by companies “embracing environmental issues
without innovating”: meaning that organizations were able to achieve significant
improvements in waste management without fundamentally changing the pollution-
generation process.
- Reactice: Winsemius and Guntram (1992) defined the advanced mode of corporations to
respond to environmental issues as “reactive”. It is characterized by minimal efforts to
26
find solutions aimed at treating the waste generated by existing system and little effort to
prevent the waste from occurring. These approach is also often referred to as “end-of-
pipe” (Winsemius and Guntram, 1992; Porter and van der Linde, 1995a) and provides the
company with a sense of social legitimacy (Wood, 1991; Corbett and Van Wassenhove,
1993), but often leads to narrow, incremental solutions (Porter and van der Linde, 1995a).
Usually companies with a reactive mode to sustainable issues don’t recognize the
competitive implications of environmentally-friendly manufacturing aside from penalty
avoidance.
- Receptive: after the release of the Brundtland Report, environmental considerations in
business started gaining importance and being recognized by companies as a source of
competitive advantage (Bonifant et al., 1995; Gupta, 1995; Porter and van der Linde,
1995a; Sarkis and Rasheed, 1995). In 1994 Drnmwright introduced the concept of “policy
entrepreneur” which he defined as a person willing to invest time, energy, money,
reputation, etc., in the hope of future returns such as environmental policy changes and
promotions. This figure is linked to the sustainability context because Drnmwright showed
that policy entrepreneurs often bring a socially responsible vision into the organization
and consequently moves the organization’s response to environmental initiatives away
from reactive compliance towards a more receptive approach (Winsemius and Guntram,
1992).
This stage is characterized by firms integrating environmentally-friendly technologies and
techniques with the currently used systems to optimize the existing manufacturing
process. With this approach the environmentally-friendly practices are coordinated
through line managers or mid-level policy entrepreneur (Winsemius and Guntram, 1992;
Drnmwright, 1994) and it is usually associated with companies willing to move from a
social legitimacy toward public responsibility (Corbett and Van Wassenhove, 1993).
- Constructive: the constructive mode of response to environmental issues has also been
defined as the “competitive environmental approach” by Porter and van der Linde
(1995a). It focuses on the value embodied by the product and the process (Walley and
Whitehead, 1994), and relies upon companies adopting a resource-productivity
framework to maximize benefits attained from environmental initiatives. The efforts in
this stage consists in the cooperation with other members of the organization's industry
with the objective being a quantum leap in environmental measures through radical
27
changes in product or process technology and/or organizational structure (Winsemius and
Guntram, 1992). Most of the current leading companies are currently in this phase (i.e.
3M).
- Proactive: according to this perspective, all principal stakeholders must have an active
role in environmental, and more generally sustainable, management. With this proactive
response to sustainable issues, firms aim at creating a new vision of the organizations’
short and long-term environmental responsibilities. However, still few companies fully
managed to consider environmental concerns as part of quality management. Firms that
have achieved this level of responsiveness to sustainability issues, are those that
successfully internalize environmental challenges and optimize the firm’s processes to
meet customer needs and handle environmental issues (Winsemius and Guntram, 1992;
Klassen and McLaughlin, 1993). It has been suggested that a proactive company will thrive
only when it acts as a whole system that includes not just executives and workers, but
customers, suppliers, and neighbors by integrating total quality environmental
management (TQEM) into its planning and operations processes (Makower, 1994).
3.4 Sustainability as a Strategic Competitive Factor:
Order Winner, Order Qualifier The different approaches introduced in the previous section, show different levels of integration
of sustainability into corporate strategy. For some, sustainability is a strategic competitive factor,
for example, companies adopting a proactive strategy integrate environmental and social
objectives into the firm's strategy, in this way they contribute to the sustainable development of
the company and of the society. Some others, consider sustainability an important characteristic,
but not a strategic one. Firms adopting a receptive behavior, for instance, have this vision of
sustainability. However, there are also firms that still consider sustainability a non-strategic factor,
for example companies embracing a reactive approach towards sustainability correspond to this
description. Companies that consider sustainability a competitive factor, have managed to fully
integrate sustainable aspects into business strategy. The process of how internal operational
capabilities are converted to criteria that may lead to competitive advantage and market success
has been a topic of wide interest for Scholars, but specifically Terry Hill (2000) dealt with this topic
and provide his higher contribution to the Literature by coining the expressions “order winner”
and “order qualifier”.
28
Terry Hill, professor at the London Business School, first coined the expressions “Order winner”
and “Order qualifier”. Hill emphasized how operations people are responsible for providing the
order-winning and order-qualifier criteria, that enable products to win orders in the marketplace.
Thus, according to the Author, the interaction and cooperation between operations and
marketing is crucial for the success of the Company. The operations strategy of a corporation is
shaped by different factors: the increasing need for globalizing products and operations, thus
reducing the unit cost, creating a technology leadership position, introducing new inventions,
taking advantage of mass customization, using supplier partnering and looking for strategic
sourcing solutions.
Terry Hill (2000) argues that the criteria required in the marketplace can be divided into two
groups: order qualifiers and order winners. He defined order qualifier as:
A characteristic of a product or service that is required in order for the product/service to be
considered by a customer (T. Hill, 2000)
And order winner as:
The product’s characteristic that will allow the winning of the bid or will determine the customer’s
purchase (T. Hill, 2000)
Companies must provide the qualifiers to get into or to stay in a market. To do so, they need to be
as good as their competitors, conversely, to provide order winners, firms must outperform their
competitors. Order winners are not necessarily more important than order qualifiers, they are
just two different concepts. Order winners and qualifiers are both market-specific and time-
specific. They act in different ways according to the market of application and the customers
addressed.
In the late 1990s, delivery speed and product customization were frequently considered order
winners, while product quality and price, which previously were often regarded as order winners,
tended to become order qualifiers. Knowing that there are some trends that are not stable over
time, firms need to develop different strategies to support different marketing needs and these
strategies will change over time. It is important that companies study and understand the ways in
which customers behave rather that what they claim, because customers’ stated needs not
always reflect their actual buying habits. If the perception of the firms about order winners and
qualifiers matches the one of the customers, then a “fit” between the two perspectives exists.
When this happens, a positive sales performance is expected. Unfortunately, Sven Horte and
29
Hakan Ylinenpaa published a research in which they stated that for many firms there is a
substantial gap between managers and customers’ opinions regarding the reasons why they did
business together. Researchers concluded that whenever there is a fit between firm’s perception
of the strengths of a product and customer’s perception of the product, a favorable sales
performance came about. By contrast, if customers and the firm have different opinions about
the firm’s competitive strength, then sales performance has shown to be negative.
Hill (2000) provided an order-winners framework to help managers to better comprehend the
evolution of their market and to prioritize the investments and developments to support the
needs (order-winning and qualifying criteria) of current and future markets (Hill, 2000). The
framework assists in the selection of a coherent set of choices in manufacturing strategy, using a
product profiling approach that compares market and manufacturing decisions across multiple
dimensions (Voss, 1995; Bozarth and Berry, 1997). The profiles included in the framework
comprehend aspects of markets (i.e. order winner priorities), products (i.e. product type and
manufacturing and investment (i.e. level of capital investment). Each profile corresponds to one
of the five process choices of project, jobbing, batch, line and continuous processing.
Operations strategy has been defined both by Slack and Lewis (2003) and by Hill (1993) as the
reconciliation of market requirements and operations resources. The market requirements are
expressed in terms of performance objectives categorized into quality, speed, dependability,
flexibility, degree of customization, innovation and cost. These performance objectives constitute
a link between the market determined competitive factors and the operations resources that
influence performance. Hill (1993), through the provision of its order-winning and order-
qualifying framework, offered a way to assess the relative importance of the competitive factors.
The main idea behind the Hill’s approach is that operations parameters must be set in order to fit
a specified level of performance. The Author explained that it is crucial to define the criteria that
are important to customer decision at a business strategy level, otherwise managers will
determine their own standard for the business. According to Hill (1993), order qualifiers are those
criteria that the company must comply with to be considered as a possible supplier. Yet, it is not
sufficient to have a good performance in these criteria to win orders and even exceeding the
threshold limit for these factors is not enough to influence the customer final decision. The order
winner criteria are those that make up the company differentiation in comparison to the
competitors and allow suppliers that hold them to win the orders. The higher a suppliers’ scores
in these factors, the higher the chances of winning the order. Both order qualifiers and order
winners are essential to the business success: companies must guarantee the meeting of the
30
qualifying criteria in order to stay in a market place, while performance in the order winning
criteria is the key to win the customers’ preference. It is crucial that the concepts of order
qualifiers and order winners are periodically reviewed and that marketing and operations
participate in this process, otherwise unrealistic requirements can emerge.
There are also other factors that could affect order winning and qualifying criteria, for example
social and cultural changes contributed to make environmental issues a public concern over the
first decade of the twenty-first century. Medhi Shahbazpour and Rainer Seidel argued that
sustainable and environmentally sensitive practices needed to become an integral part of the
manufacturing process.
Sustainability can be either an order winner or order qualifier. As Shahbazpour and Seidel noted:
whether sustainability is categorized as order winner or order qualifier depends on the specific
market, industry and society the firms operates in.
In Literature, there are several studies confirming that the implementation of a sustainable
strategy and the adoption of a social responsible behavior lead to improve competitiveness
(Menguc, B. and L.K. Ozanne, 2005; Burke, L. and J.M. Logsdon, 1996; Waddock, S.A. and S.B.
Graves,1997). Unfortunately, it is not that easy to find papers in the field of manufacturing
strategy and performance, which include sustainability as one of the competitive manufacturing
objectives. For instance, Brown, S., K. Blackmon (2005) and Leachman, C et al. (2005) in their
publications listed quality, delivery, flexibility, innovation and cost as competitive objectives of the
manufacturing function, but they didn’t pay attention to sustainability.
New C. (1992) divided the manufacturing objectives into hygiene factors and competitive-edge
factors, which are very similar to Hill’s order qualifying and order winning categories. Order
qualifiers and hygiene factors can be both defined as criteria that are fundamental for the
customers to consider the product, while order winners or competitive-edge factors are those
that win the orders. It has been already suggested that sustainability categorization as an order
winner or an order qualifier depends on the specific market, industry and society in which the
firm operates. A manufacturing company located in an environmentally conscious country, will
probably classify sustainability as a hygiene factor, while for a company located in a developing
country, where there is an absence of effective environmental legislation, sustainability will
probably be considered a non-strategic element, or just a strategic move towards differentiation.
Shahbazpour and Seidel (2006), after an accurate Literature review aimed at structuring the
sustainability concept, concluded that sustainability as a manufacturing objective can be a trade-
31
off with other competitive objectives, when and where the relationship between sustainability
and system parameters such as resources, energy, material, waste and emissions is in
contradiction with the relationship between other objectives and these parameters. Even if, in
general, studies facing the issue of sustainability as an order winner or a market qualifier are not
numerous.
An important contribution to the overall Literature has been brought by Wu and Pagell (2010),
when they identified the business model of different organizations emphasizing how each
organization incorporated environmental concerns in strategic decision-making. In particular, the
Authors managed to realize configurations of environmental behaviors, social behaviors and
social strategy and they called them “environmental postures”. The description that the Authors
made of these categories is comparable to the order winner and order qualifier attributes of
sustainability previously described. In total Wu and Pagell (2010) defined four environmental
postures:
1. The environmental first posture: companies laying in this category are motivated by
strong environmental values and drivers for this strong commitment with sustainable
theme are often coming from within the company’s four walls. These organizations, are
able to improve their environmental performance, consequently clients can benefit from
the products’ higher quality and healthier environment. Managers of companies
belonging to this class, are concerned with environment in first place, their firms are able
to differentiate themselves from competitors and they are able to charge price premium.
However, in the environment first posture the social aspect of the triple bottom line is
deemphasized relative to economic and environmental aspects.
2. The equal footing posture: companies corresponding to this target, have always done
sustainable initiatives, their environmental and social efforts directly benefit employees,
suppliers and local communities. For these firms, environmental and social issues are
highly integrated and equally important. Equal footing posture’s companies are willing to
internalize the environmental costs even when not required by regulations, to improve
their employees, suppliers and communities environment. Despite these organizations
are leaders under environmental and social perspectives, they have restrained economic
growth.
3. The opportunity first posture: this posture is quite different from the previous two.
Customers of firms laying in this group are generally concerned about specific attributes
such as: low prices and quality, they are not appreciating sustainability as a value-added.
These companies are environmental leaders only when they can leverage to create
32
economic opportunity, but they are not significantly differentiating themselves from
competitors, for social outcomes.
4. The community first posture: Companies belonging to this group address environmental
issues only to react to threats to their socially sustainable values and branding. An
aggressive communication of their environmental and social initiatives characterizes
these firms. However, not all of their environmental efforts directly benefit customers.
These organizations are social leaders and good environmental performers, but their
reactive behavior towards external threats can be expensive.
33
4 Sustainability in
the Supply Chain
Management
34
4.1 Introduction to Sustainable Supply Chain
Management
In the last decade, the integration of sustainability in the supply chain’s phases has been one of
the crucial issue faced both by academics and practitioners. The reason that encouraged this
recent interest towards sustainability, is largely attributable to the pressures coming from various
stakeholders like for example: government regulators, community activists, non-governmental
organizations (NGOs) and global competition. Notwithstanding this growing attention to the
theme, today the supply chains that we can define entirely sustainable are still rare. Some
companies indeed, are still hesitant to commit to sustainability measures as long as they are not
forced to do so by the law, some others do not take seriously the integration of sustainable
practices into their organization and they are limited to superficial commitments such as including
the motto “Think before you print” in the electronic mail, but actually they do not impose any
compulsory practice.
4.2 Supply Chain Management: a brief overview
All the definitions, the models and the frameworks pertaining to Sustainable Supply Chain
Management derive from the oldest and most affirmed concepts of Supply Chain and Supply
Chain Management. In order to fully understand the following sections, it is necessary to make a
step backwards and have a brief revision of these arguments.
Supply chain can be related to system theory where resources as inputs, transformation as
process through which products and services (outputs) are obtained and delivered to the
customers. And SCM provides an opportunity for organizations to continuously improve the
internal operations and at the same time integrating different suppliers (reducing operating costs)
and customers (increasing customer satisfaction) thereby increasing the profitability of a company
(Chaffey, 2002).
The most widespread and famous version of the definition of Supply Chain (Fig. 31) is the one
provided by Hau L. Lee and Corey Billington in 1995, they identified the SC as
A network of facilities that produce raw materials, transform them into intermediate goods and
then final products, and deliver products to customers through a distribution system
35
Figure 31 – the Supply Chain
The core element of a supply network, or supply chain, is the focal company which is commonly
considered the company governing over the supply chains, providing direct contact to end
customers, and having bargain power over other actors in the supply chain. The network structure
is usually given by the length of the chain, which is represented by the number of tiers across the
supply chain, the width that is the number of suppliers/customers represented within each tier
and the company’s position within the supply chain. These are the so-called three structural
dimensions of the supply chain (Fig. 32).
Figure 32 - Supply Network Structure (Sianesi & Spina, 2010)
Further to the definition coined by Hau L. Lee and Corey Billington, in Literature there are several
papers reporting different versions of the supply chain concept. For instance, according to La
Londe and Masters (1994), a set of firms that pass materials forward […] raw material and
component producers, product assemblers, wholesalers, retailer merchants and transportation
companies are all members of a supply chain. Similarly, Christopher (1992) defined the supply
chain as a network of organizations that are involved, through upstream and downstream
36
linkages, in the different processes and activities that produce value in the form of products and
services delivered to the ultimate consumer. While for Mentzer et al. (2001) the SC is a set of
entities (organizations and individuals) directly involved in the upstream and downstream flows of
products, services, finances, and/or information from a source to a customer. Chopra and Meindl
(2007) defined a supply chain as all parties involved in fulfilling a customer order. This last
definition stresses the fact that more than one decision maker is involved in managing resources,
information, and/or processes that may not be entirely under the control of their company.
Finally, Chen and Paulraj (2004) affirmed that supply chain is basically the combination of three
elements: (i) supply: the information about raw materials are supplied to the focal company, (ii)
manufacturing: the raw materials are transformed into finished goods, (iii) distribution: the
finished goods are delivered to customers through sequence of network such as distributors,
warehouses and retailers.
The activities occurring between the focal company and the suppliers are usually referred to as
upstream supply chain or buy-side commerce. The transactions that are carried out between the
organization and the end-customers are termed as downstream supply chain or sell-side
commerce (Chaffey, 2002). For many years, organizations only paid attention to what was
happening within their “four walls”, but since globalization has become a real issue encompassing
all the supply chain’s phases, companies realized that the firm was no longer a stand-alone entity,
but it was part of a network of interconnected firms.
Therefore, in the early 1980s the idea of Supply Chain Management began to take shape. Since
then, it has been used to describe the planning and control of materials, information flows, and
the logistics activities internally within a company and externally between companies (Cooper et
al., 1997). Initially, SCM focused on material flows. More recent researches emphasize additional
aspects of SCM, such as risk (Colicchia and Strozzi, 2012), performance (Hassini et al., 2012), and
integration (Fabbe-Costes and Jahre, 2007). There is also a growing emphasis on information
flows, internal and external networks of relationships (Stock et al., 2010), and governance of
supply networks (Pilbeam et al., 2012).
SCM boundaries are not limited to suppliers and buyers but also include the supplier’s supplier
and the buyer’s buyer which are respectively referred to as second-tier supplier and second-tier
customer. On the upstream side, the purchasing and supply management activities refer to the
involvement of suppliers in transactions with the core company. On the demand side, physical
distribution management regard the distribution of goods to the immediate customers, while
37
logistics refers to the whole distribution. Materials management refers to the flow of materials
through the immediate supply chain (Slack, Chambers, & Johnston, Operations Management,
2004).
According to WiseGeek (2010), the role of Supply Chain Management is to manage the three
flows of operations: product flow regards the movement of goods from suppliers to customers
and customer service maintenance, information flow includes ordering and delivering
information, financial flow involves payment and credit terms. Handfield RB, Nichols EL. in 1999
gave their interpretation of the Supply Chain Management starting from the concept of supply
chain, they stated that the supply chain encompasses all activities associated with the flow and
transformation of goods from raw materials stage (extraction), through to the end user, as well as
the associated information flows. Material and information flow both up and down the supply
chain. Supply chain management (SCM) is the integration of these activities through improved
supply chain relationships to achieve a sustainable competitive advantage. The concept of Supply
chain management has been defined by Mentzer et al. (2002) as the systemic, strategic
coordination of the traditional business functions and the tactics across these business functions
within a particular company and across businesses within the supply chain, for the purposes of
improving the long-term performance of the individual companies and the supply chain as a
whole and by Lambert et al. (2006) as, the integration of key business processes from end-user
through original suppliers, that provides products, services, and information that add value for
customers and other stakeholders.
As one can see, the growing interest towards SCM has led to a proliferation of conceptual
definitions. In the following table (Table 8) is reported the summary of representative definitions
of SCM performed by Payman A. et al. in 2013 during their broad analysis of the Literature.
38
Table 8 - Representative definitions of supply chain management (Payman A. et al., 2013)
From the definitions represented in the previous table, it appears that supply chain management
is primarily focused on managing flows of materials, services and information. It is clear that, to
correctly manage all these activities, it is necessary that all the firms belonging to the chain
cooperate and coordinate themselves. Furthermore, many definitions of SCM put emphasis on
the need to meet the stakeholders’ requirements, especially those expressed by customers, and
on the need to correctly manage both internal and external relationships. The key outcomes of all
the activities composing the supply chain are to create value, improve efficiency, and improve
overall performance.
Anyway, the official definition of SCM is commonly considered the one provided by the Supply
Chain Council who defined Supply Chain Management as follows
39
Managing supply and demand, sourcing raw materials and parts, manufacturing and assembly,
warehousing and inventory tracking, order entry and order management, distribution across all
channels, and delivery to the customer
4.3 Sustainable Supply Chain Management Definition Changes in external environment and the growing globalization, have led a mutation in the field
of sustainability research, indeed Scholars started to look for the optimization of the entire supply
chain rather than focusing on the single organization. Moreover, as already mentioned before,
sustainability has become a lasting movement that impact on both products manufacturers,
suppliers and customers. Since sustainability has become a global concern, organizations have
started to renovate their traditional supply chain operations taking into consideration the
environmental and social impacts of their supply chains (N. Capaldi, 2005; A. Chaabane et al.,
2012). This has led to a rise of academic interest towards new concepts linking sustainability and
SCM such as Green Supply Chain Management (GSCM) and Sustainable Supply Chain
Management (SSCM) (A. Ashby et al., 2012). In their comparative literature analysis of definitions
for green and sustainable supply chain management, P. Ahi and C. Searcy (2013) found that the
integration sustainability into SCM began by focusing on merging “green” considerations with
SCM practices. Thus, SSCM can be considered an extension of the GSCM concept.
The concept of Sustainable Supply Chain Management has become of central relevance in the last
twenty years, especially due to the increasing concern for the scarcity of the non-renewable
resources and the social issues affecting the modern supply chains. In Literature, there are many
studies dealing with this issue and many Academics tried to define the Sustainable Supply Chain
concept.
According to Dyllick and Hockerts (2002), SSCM is the integration of sustainable development and
supply chain management, whereby sustainable development is often described as containing
three dimensions–integrating and economic issues for human development–which also affects
the corporate strategy and action. Carter and Rogers (2008) defined SSCM as “the strategic,
transparent integration and achievement of an organization’s social, environmental, and
economic goals through the systemic coordination of key inter organizational business processes
for improving the long-term economic performance of the individual company and its supply
chain”. Still in 2008, S. Seuring and M. Müller referred to SSCM as “the management of material,
information and capital flows as well as cooperation among companies along the supply chain
while taking into accounts goals from all three dimensions of sustainable development such as
40
economic, environmental and social, which are derived from customer and stakeholder
requirements”.
Despite the theme of SSCM is fairly new, it has grown rapidly over the last years, consequently the
available definitions of the term have multiplied quickly. In 2013 Payman Ahi and Cory identified
12 unique definitions for Sustainable Supply Chain Management. A summary of the definitions
detected by the Authors is provided in the following table (Table 9). Some of the reported
definitions present differences from the statement of Carter and Rogers (2008) and Seuring and
Muller (2008), for example Ciliberti et al. (2008) proposed a simpler version of sustainable supply
chain management and identify it as “the management of the supply chain where all the three
dimensions of sustainability, namely: economic, environmental and social ones are taken into
account”. Wolf (2011) focused more on the collaboration among supply chain players and defined
SSC as “the degree to which a manufacturer strategically collaborates with its supply chain
partners and collaboratively manages intra and inter-organization processes for sustainability”.
Teuteberg and Wittstruck (2011) proposed a straightforward definition of sustainable supply
chain as “an extension to the traditional concept of supply chain management by adding
environmental and social/ethical aspects”.
41
Table 9 - Definitions of sustainable supply chain management (SSCM) (Payman Ahi and Cory, 2013)
Teuteberg and Wittstruck (2010) proposed the ‘‘House of Sustainable Supply Chain’’ (Fig. 33),
built on the three dimensions of the Triple Bottom Line, which are viewed as the key pillars
necessary to keep the building in balance whereas risk and compliance management form the
building’s foundation. SSCM also requires the establishment of values and ethics throughout the
organization, an efficient and flexible ‘‘green’’ IT environment as well as the alignment of
corporate strategy focusing on sustainable development. By taking these measures, it will
effectively protect the network against environmental and social threats and risks.
42
Figure 33 - ‘‘House of Sustainable Supply Chain, Teuteberg and Wittstruck (2010)’’
4.4 Drivers to the development of a Sustainable
Supply Chain Management
Many studies have tried to provide an extensive analysis of the drivers for the implementation of
SSCM, Bansal and Roth (2000), for example, listed three motivating factors for firms to take on
ecologically responsive initiatives: (i) Legitimization, meaning the desire to comply with existing
set of regulations, norms and values, (ii) Moral responsibility, the desire to respect the economic,
social and natural environments surrounding the firms and (iii) Competitiveness, the desire to
build a competitive advantage thanks to sustainability.
In 1998, Reinhardt observed that environmental quality could only be ensured through
governmental regulation as it is a public good, thus companies were not available to spend more
resources than what required by the law to improve their environmental performance. The main
goal of companies was, and still is, the maximization of economic profit, but, until recently, the
implementation of green practices was often not just a matter of choice because it was required
by the law. Today, sustainability is no longer seen just as a requirement imposed by national
legislation, but it is considered a competitive factor from a growing number of firms. Modern
consumers are increasingly becoming aware of their purchasing decisions, in particular they are
encouraged to act responsibly by the recent rising environmental concerns. In response, firms are
gradually implementing measures in order to offer green substitutes for traditional products and
43
services. Nonetheless, the transition towards Sustainable Supply Chain Management (SSCM) is
not straightforward since organizations will face on one hand many driving factors that will lead
them towards a sustainable management approach, but on the other hand they will also meet
obstacles that will hinder their road to sustainability.
When a company decides to go green, it should consider the conflicts of diverse stakeholders such
as: customers, employees, suppliers, regulators, governmental agencies and stockholders and
their reactions to green initiatives. Each of these actors establishes conflicting priorities for
management’s policies, high return on investments, high quality products and prolonged
profitability (S. Feldman, 1997). Thus, organizations face barriers and drivers to Sustainable Supply
Chain Management (S. Seuring and M. Müller, 2008), and these can be either internal or external
challenges to the organization (A. Hervani et al., 2005; H. Walker et al. 2008). The main worries of
Management concern the fact that green initiatives could reduce profitability at the expense of
actual environmental performance (N. Ahmed, 2003). On the other hand, Managers’ commitment
to environmental investments in greener markets will provide the firm with the innovation to gain
a competitive advantage quickly (N. Ahmed, 2003).
The reasons that lead a firm to engage in a SSCM are various, some firms could be driven from
within by their top management to engage in sustainable supply issues, while others could
respond reactively to external influences such as stakeholder pressures or customer requirements
(H. Walker and N. Jones, 2012). When the incentives to engage in a SSCM come from within the
company, they are usually indicated as internal drivers. Top management commitment and a
supportive culture (C. R. Carter and M. Jennings, 2004; A. Hughes, 2005) are an example of the
most challenging internal drivers, according to M. D. Hanna et al. (2000), also the involvement of
employees is beneficial, including middle management. The adoption of an Environmental
Management System (EMS) is another way to promote the adoption of a SSCM (C. C. Chen, 2005;
R. Handfield et al., 2005). External drivers come from a range of stakeholders: for example, large
customers may influence smaller suppliers to meet SSCM practices (J. Hall,2001; J. Hall, 2000; S.
Walton, 1998), and exert pressure in the supply chain (R. Handfield et al., 1997). Pressures coming
from governments, NGOs and regulations are some of the most cited external drivers in Literature
(M. Forman and J. Sogaard, 2004; L. Preuss, 2007; C. R. Carter and L. M. Ellram, 1998; J. D. Linton
et al., 2007).
Trowbridge (2001) identified two main classes of drivers for the implementation of a green supply
chain in the chip manufacturing industry: internal and external drivers. According to Trowbridge,
44
internal drivers include the willingness to improve risk management due to potential interruptions
in the supply chain, and the collaboration with suppliers to find alternative materials and
equipment that minimize environmental impacts. Conversely external drivers include customers,
investors and non-governmental organizations. Bowen et al. (2001b) indicated some other drivers
for implementing a sustainable supply policy, such as strategic purchasing and supply, corporate
environmental proactivity and supply management capabilities. The implementation of green
initiatives for a company is surely an expensive cost that involves all the firm’s levels (S. Hussain,
1999). Thus, environmentally conscious consumers and companies have to be more willing to pay
premium price for green alternatives (M. Laroche et al., 2001). Walker et al. (2008), after an
accurate review of the Literature and referring to interviews conducted at seven different private
and public sector organizations, identified which are the factors that drive or hinder organizations
to implement green management initiatives along the supply chain. These include internal drivers
such as organizational factors, and external drivers such as regulations, customers, competitors,
society and suppliers. Lee (2008) identified the main drivers for companies to participate in GSCM
practices as buyer influence, government involvement and green supply chain (GSC) readiness.
Wee and Quazi (2005) identified seven critical factors in their research into environmental
management: top management commitment; total involvement of employees; training; green
products/process design; supplier management; measurement; and information management.
Rao and Holt (2005) observed that acting on different phases of the supply chain to integrate
green initiatives, can lead to the development of an integrated green supply chain, which in turn
leads to competitiveness and better economical and operational performance.
Figure 34 - Green supply management chain (Holt & Ghobadian, 2009)
In recent decades, the public concern regarding the environmental question has drastically
increased, consequently the customer’s purchasing decision has been more and more influenced
by the company’s environmental reputation (Drumwright,1994). Consumers are asking for more
45
environmentally friendly and social conscious products (Handfield et al., 1997). Together with
customers, also competitors represent a huge incentive for companies to undertake sustainable
initiatives. Competitors, indeed, may be able to influence governmental regulators and lead their
decision on norms and/or legal mandates, consequently they also have the power to drive
environmental innovation (Henriques and Sadorsky, 1999). Thus, having a proactive
environmental strategy, can help firms to gain competitive advantage through the development
of supply management capabilities (Ferguson and Toktay, 2006; Sarkis, 2003; Sharma and
Vredenburg, 1998). Activist campaigners, non-governmental organizations (NGOs) and green
pressure groups are also contributing to pushing firms to review their environmental supply
practices (Hall, 2001; Trowbridge, 2001; C. R. Carter and L. M. Ellram, 1998; P. Teuscher et al.,
2006; I. Maignan, 2002). Finally, increased environmental awareness could represent also an
opportunity for companies to win new customers by dealing in an exemplary way with
environmental issues.
Walker et al. (2008) listed also suppliers among the external driving factors for the development
of environmental supply chain management practices. In past studies, suppliers have generally
never been considered as driving forces (Carter and Dresner, 2001), this might be due to the lack
of previous empirical resources or to the fact that suppliers actually do not contribute to the
environmental supply practices development. However, it has been proved that collaboration
among supply chain members can support a more effective environmental management and can
enhance a correct implementation of SSCM (Klassen and Vachon, 2003; Theyel, 2001; Vachon and
Klassen, 2006; S. Seuring and M. Müller, 2007; K. Verghese and H. Lewis, 2007). It was found that
greater supply chain integration can benefit environment management in operations. As the
supply base was reduced, the extent of environmental collaboration with primary suppliers
increased.
Finally, in his list of external drivers, Trowbridge (2001) included customers, investors and non-
governmental organizations. Lee (2008) identified the main drivers for companies to participate in
GSCM practices as buyer influence, government involvement and green supply chain readiness.
Wee and Quazi (2005) indicated seven critical factors in their research into environmental
management: top management commitment, total involvement of employees, training, green
products/process design, supplier management, measurement and information management.
46
4.5 Barriers to the development of a Sustainable
Supply Chain Management
The aspects which are more frequently mentioned in Literature as barriers for the
implementation of a sustainable supply chain are three: (i) Higher costs, (ii) Coordination effort
and complexity, (iii) Insufficient or missing communication in the supply chain. Unfortunately,
these are some of the obstacles that an organization can face when developing SSCM.
In his study on the small and medium-sized suppliers in green supply chain initiatives, S. Y. Lee
(2008) makes a clear distinction between firms of different size. In general size is one of the most
important firm’s characteristics that influences the adoption of green initiatives, for instance it is
more likely that large firms engage in SSCM because they are more structured and they have
larger availability of resources. S. Y. Lee (2008) found that firm size is an influence factor for firm
to practice on SSCM, the bigger the size the more the firm is willing to participate in green supply
chain initiatives. Likewise for drivers, also for barriers it is necessary to distinguish between those
that are coming from within the company (internal barriers) and those that are coming from the
external environment (external barriers). Internal barriers include for example lack of supportive
corporate structures and processes (H. Walker et al., 2008; S. Seuring, 2008), lack of management
commitment (H. Min and W. P. Galle, 2001; C. R. Carter and M. Dresner, 2001) and the reliance on
traditional accounting methods, which do not facilitate reporting on the triple bottom line (P. Rao
and D. Holt, 2005). Walker et al. (2008), identified the barriers to the development of a
sustainable supply chain, the internal barriers they identified are for example cost and lack of
legitimacy, as well as external barriers such as regulation, poor supplier commitment and industry
specific barriers.
Considering then the purchasing and supply functions, SSC implementation can be hindered by
the lack of training (F. E. Bowen et al., 2001) or having other SCM priorities (V. Tummala, 2006).
Many firms believe that a greater commitment to environmental programs increases total
purchasing costs and subsequently decreases their competitiveness. Consequently, the strong
involvement of a firm in environmental initiatives results in added costs, which put the firm at an
economic disadvantage if compared to other less environmentally responsible firms (H. Min and
W. P. Galle, 2001). Green purchasing is one of the most sophisticated green practices that a
Company can adopt, indeed green purchasing may reduce the pool of qualified suppliers due to
the stricter environmental quality standards (H. Min and W. P. Galle, 2001).
47
The external barriers generally correspond to the pressures coming from the firm’s external
stakeholders. Customers may make demands for lower prices, which generally collide with the
possibility to provide greener substitutes to products and services (R. J. Orsato, 2006). R. W.
Cooper et al. (2000) indicated the competitive pressure as one of the factor that could hinder the
development of SSCM, but also other factors could inhibit the attractiveness of environmental
management such as governmental regulation (Q. Zhu and J. Sarkis, 2006), lack of commitment
amongst suppliers (H. Walker, 2008; I. Wycherley, 1999) and industry type (H. Min and W. P.
Galle, 2001; Q. Zhu and J. Sarkis, 2006).
4.6 Implementation of a Sustainable Supply Chain (a
framework of SSCM) Companies today are more than ever forced to rethink their strategies to ensure the sustainability
of their operations due to the growing constraints relatively to the availability of non-renewable
resources. One of the most widespread way for integrating sustainability in the supply chain, is
the development of a closed-loop supply chain (Lieckens and Vandaele, 2007; Barker and
Zabinsky, 2008; Srivastava, 2008; Pochampally et al., 2009), but there are also other means such
as: product design (Hugo and Pistikopoulos, 2005), production planning and control for
remanufacturing (Jayaraman et al., 1999; Luo et al., 2001), inventory management (Ferretti et al.,
2007), product recovery (Jayaraman 2006), reverse logistics (Sheu et al., 2005; Sheu, 2008) and
carbon emissions reduction (Ramudhin et al., 2008). These actions, however, may guarantee only
a short-term sustainability and in some cases, could also lead to an increase in the operating costs
and in greenhouses gases emissions (GHG) which threaten long-term sustainability.
Since sustainable development has been recognized as a global issue, the need for an integrated
approach that links supply chain decisions to the three pillars of sustainability has been
advocated. Over the course of time there have been many attempts to develop a model able to
integrate social, environmental and economic aspects in the supply chain processes, for instance
Hugo and Pistikopoulos (2005) developed a mathematical programming-based methodology with
explicit inclusion of Life Cycle Assessment (LCA) criteria as part of the strategic investment
decisions related to the design and planning of supply chain network. Nagurney et al. (2006)
presented a model in which manufacturers can produce homogenous products in different
manufacturing plants with different environmental emissions. Frota Neto et al. (2008) invented a
framework for designing and evaluating sustainable logistic networks where activities affecting
the environment and cost efficiency in logistic networks are considered. Guillen-Gosalbez and
48
Grossmann (2009) developed a supply chain network design model able to define the supply
chain configuration maximizing the net present value and minimizing the environmental impact.
Subramanian et al. (2008) proposed a non-linear mathematical programming model for the
integration of environmental consideration in the managerial decision making process. The model
allows the incorporation of traditional operations planning considerations (capacity, production
and inventory) with environmental considerations (design, production and end-of-life).
The complete integration of sustainability in the company’s processes occurs when an
organization explicitly and comprehensively incorporate social, environmental and economic
goals in developing strategic vision and long-term strategic objectives. As specified by Craig R.
Carter and Dale S. Rogers (2008), environmental and social aspects of sustainability can extend
beyond an organization’s boundary to include supply chain activities. Integrating social and
environmental objectives together with the economic objectives into corporate strategy, can
actually create a long-lasting and less imitable set of process.
Author stated that companies able to maximize all the three aspects of sustainability are able to
outperform companies that are focused just on the maximization of economic goal or
organizations that are very much concerned with the achievement of social and environmental
goals, but do not care about economic performance. Consequently, the Authors concluded that
the highest level of economic performance will occur at the intersection of environmental, social
and economic performance.
By combining four distinct, but complementary disciplines: resource dependence theory,
transaction cost economics, population ecology and the resource-based view of the firm, Craig R.
Carter and Dale S. Rogers (2008) realized a theoretical framework to frame the Sustainable Supply
Chain Management issue. The population ecology perspective affirms that the limited availability
of environmental resources could constrain populations (Hannan and Freeman, 1977), thus if
firms want to survive they must control limited environmental resources. The resource
dependence perspective asserts that the organizational capability to survive depends on the
maximization of the power through the acquisition of scarce and valuable resources in a stable
and low-cost way (Pfeffer and Salancik,1978). Transaction cost theory claim that companies
attempt to acquire resources in a low cost and stable manner (Williamson, 1975). Pfeffer and
Salancik argue that as dependence on resources rises, firms should attempt to increase vertical
coordination.
49
There is then a correlation between resource dependence and vertical integration. This implies
that the more a firm uses scarce and valued resources in its production process, the more it will
collaborate with other supply chain’s members to acquire access to strategic suppliers or by
forming partnerships and strategic alliances.
Collaboration activities and strategic partnership to improve environmental and social aspects of
suppliers are time-consuming operations. However, when correctly implemented, these activities
can lead to a strong positive impact of suppliers’ performance and can reduce operating costs in
supply chain relationship (Carter, 2005). Supply chains that fully integrate social and
environmental aspects in their activities are also more difficult to copy, especially if suppliers
decide to make asset-specific investments to engage the customer in the design for disassembly
and reuse activities (Carter and Carter, 1998) or if they decide share strategic information and
consequently build a strong reliable relationship with the focal company (Gulati, 1999).
Transaction costs within an organization could derive from a wrong behavior of the components.
Consequently, regulations and written requirements should be spread among suppliers’ members
to minimize the threat of opportunism behavior Transaction cost theory, differently from
transaction cost economics, focuses on more arms-length relationships (Rindfleisch and Heide,
1997).
Speaking in general terms, not only referred to the sustainability integration issue, inertia is the
main reasons why companies fail to adapt to new situations. Inertia can be generated from the
inside (i.e. sunk costs, communication structures, internal politics and institutional norms) as well
as from external factors (i.e. barriers to entry and exit, bounded rationality and social legitimacy).
4.7 Strategies for the development of Sustainable
Supply Chain Management The correct way to develop a Sustainable Supply Chain has been one of the crucial topics faced by
Scholars in the last years: in Literature, indeed, one can find various papers dealing with this issue
offering solutions for the implementation of SSCM. In 2008 Seuring and Muller identified two
main strategies for the development of a sustainable supply chain: “Supplier management for risk
and performance” and “Supply chain management for sustainable products”.
- Supplier management for risk and performance: the growing international competition
and the increasing pressures coming from external environment and from within the four
walls of the company, have pushed firms to introduce supplier evaluation schemes which
50
integrate environmental and social criteria besides the traditional supply chain’s criteria
(Trowbridge P., 2001; Koplin J et al., 2007; Beske P et al., 2008). One typical measure
introduced by companies is for example the supplier self evaluation (Trowbridge P., 2001)
through which suppliers have to declare how they deal with environmental and social
issues. The adoption of this initiative can bring to a double benefit: on one hand, it avoids
risk which can be related to the three dimensions of sustainability (Michelsen O et al.,
2005; Cousins PD et al., 2004; Teuscher P et al., 2006). On the other hand, the
implementation of a supplier self evaluation can improve the overall supply chain
performance, where frequently the focus is on the relation between environmental and
economic performance (Green K, et al., 1998; King AA, Lenox MJ., 2001; Rao P, Holt D.,
2005; Zhu Q et al., 2005; Hervani AA et al., 2005; Vachon S, 2006; Vachon S., 2007;
Yakoleva N., 2007). As a result of a Literature review, Seuring and Muller found that, if
environmental and social performances are set as prerequisites by the focal company for
suppliers to operate as part of the supply chain, this guarantee that the suppliers act
according to set standards (Lamming RC, Hampson JP,1996; Min H, Galle WP., 2001;
Cousins PD et al., 2004; Seuring S et al., 2004). Therefore, they can be comprehended as
order qualifiers (Hill T., 2000), while orders are won based on economic performance, i.e.
the third dimension of sustainability.
- Supply chain management for sustainable products: with the expression “sustainable
products”, the Authors meant all kinds of products that have or aim at improving
environmental and social quality, which can be related back to the already mentioned
implementation of environmental and social standards. One of the most reliable method
for the definition of product related requirement is the Life Cycle Assessment (LCA), the
diffusion of this tool has lead to the gradual evolution of a parallel line of research called
life-cycle management (Seuring S., 2004). Once again, the focal company is asked to
develop joint initiative with suppliers to implement a product based green supply (Bowen
FE et al., 2001), thus cooperation with suppliers became a crucial activity which is not
limited to the first-tier suppliers, but it extends also to the second-tier suppliers (Frohlich
M, Westbrook R., 2001). This strategy considers the quality of the product and the
performance of the operational process a crucial issue, so the complete supply chain,
from raw materials to final customers, has to be integrated (Meyer A, Hohmann P., 2000;
Seuring S., 2001; Kogg B.,2003; Goldbach M et al., 2003; Seuring S., 2004; Preuss L., 2005).
51
The two strategies are not mutually exclusive, they are two different, distinguishable approaches,
their relation to each other might be called ambivalent, thereby opposing but also supporting
each other at the same time. In conclusion, the Authors observed that, when companies start to
offer environmentally improved and socially sound products in their product lines, they
experience the need to monitor the environmental and social performance of suppliers (Handfield
R et al., 2004). Conversely, companies starting with supplier development initiatives for risk
minimization (Min H, Galle WP., 2001; Cousins PD et al., 2004; Mamic I., 2005) might then see
opportunities for further win-win-win situations, and look at product performance as well.
Seuring (2013), by analyzing the Literature on the models for the implementation of SSCM,
intuitively grouped the models into four categories: Life-cycle assessment based models,
Equilibrium models, Multi-criteria decision making (MCDM) and applications of the analytical
hierarchy process (AHP) (Table 10).
Table 10 - Grouping papers according to modeling techniques (Seuring, 2013)
- Life-cycle assessment (LCA) based models: the final goal of these type of studies is the
elimination or the minimization of the environmental impact along all the product’s life
cycle. In previous studies, Pesonen (2001) already dypointed the use of life-cycle
assessment based criteria in supply chains. Going beyond the Pesonen analysis, Seuring
(2004) elaborated that LCA-based criteria usually provide the product optimization
perspective which precedes the supply chain optimization.
52
- Equilibrium models: are standard modeling techniques (A. Nagurney et al., 2002) and
they are already well established models. The equilibrium would be established by
assessing what the optimal level of investment into environmental (abatement)
technologies and respective economic returns would be. In other words, the final aim of
equilibrium models is to balance economic performance and environmental performance.
- Multi-criteria decision making (MCDM): the basic idea behind these type of studies is to
meet at the same time different objectives, which makes the point for such multi-criteria
decision making approaches (H. Min, G. Zhou, 2002). Unlike the previously presented
models, the MCDM focuses not so much on reaching an equilibrium situation between
economic and environmental objectives, but it rather deals with trade-offs among
conflicting objectives.
- Analytical hierarchy process (AHP): this last category of models includes both
contributions coming from LCA-data analysis and from the multi-objective decision
making techniques (T.L. Saaty, 1990). The distinctive feature is that AHP is not a full
mathematical model, but it is rather a semi-quantitative decision making technique
simplifying and structuring decisions (T.L. Saaty, 1990; W. Ho, 2008). The analytical
hierarchy process allows the evaluation of both complex decision situations where
environmental and economic goals are assessed and more specialized decisions i.e.
looking at the role of hazardous substance management (C.-W. Hsu, A.H. Hu, 2009) or
green supplier selection (G. Noci, 1997, L.Y.Y. Lu et al., 2007; S.S. Lin, Y.S. Juang, 2008) and
supplier development practices (C. Bai, J. Sarkis, 2010; C. Bai et al., 2010). The aim of AHP
is basically to focus on the complexity of decision making and emphasize the influence of
the decision makers.
These are just two examples of studies deepening the topic of strategies for the development of
SSCM, but in Literature it is possible to find many other papers exposing different theories:
according to Wu e Pagell (2009), the fundamental element that companies should consider in
developing their Sustainable Supply Chain is innovativeness. This element, indeed, allows
companies to integrate sustainability in the everyday decisions and improves the suppliers’
relationships. Finally, Ageron et al. (2012) developed a model for the implementation of SSCM
based on seven building blocks: reasons for sustainability in supply management, criteria
employed for SSM, greening supply chains, characteristics of suppliers, techniques for SSM,
barriers for SSM, and benefits of SSM.
53
4.8 Benefits and Drawbacks of implementing a
Sustainable Supply Chain Starting from the very basic concept of Triple Bottom Line, which sees the interrelations of three
pillars: environmental, social and economic, Carter and Rogers (2008) highlighted the fact that the
final goal of a company is the maximization of the economic profit, thus the social and
environmental dimensions of SSCM must be undertaken with a clear and explicit recognition of
the priority of the firm’s economic goals. However, these undertakings would be socially
irresponsible unless considered within the broader context of a firm’s overall strategic and
financial objectives (Porter and Kramer, 2002). Thus, the Authors placed a figurative question
mark on the intersection between social and environmental aspects. By this act, they aimed at
questioning the goodness of the relationships that link social and environmental components, but
omits the economic side of the triple bottom line (Fig. 35).
Figure 35 - Sustainable supply chain Management (Craig R. Carter and Dale S. Rogers, 2008)
There are of course many challenges to the implementation of sustainability. Carter and Rogers
(2008) identified some of the factors that hinder the development of SSCM. Companies
undertaking actions to improve all the three areas of sustainability may face a period of hard,
long-term investment commitments in which conventional and environmental criteria are not in
harmony (Gray, 1994), but the more energy costs and pressures from customers rise, the more
these projects become economically viable. The Authors offered an alternative perspective of
environmental and social issues, differently from the traditional visions, indeed, Carter and Roger
suggested that there are a variety of environmental and social issues that a firm can undertake
54
which can both improve as well as harm the economic bottom line. The activities thta can harm or
at least not help the economic bottom line are represented in Fig. 35 by the areas that do not
overlap with economic performance. Finally, companies implementing SSCM should keep in mind
that environmental and social initiatives could fail, as traditional business activities do (i.e.
marketing, R&D, new product development).
Conversely the activities lying at the intersection with the economic bottom line are the ones that
could be defined sustainable. The potential economic benefits coming from the intersections of
economic with social and/or environmental performance include for example cost savings due to
reduced packaging waste (Mollenkopf et al., 2005; Rosenau et al., 1996), and the ability to design
for reuse and disassembly (Christmann,2000; Hart, 1995; Shrivastava, 1995c). Also reduced health
and safety costs, lower recruitment and labor turnover costs resulting from safer warehousing
and transportation and better working conditions can be results of a correct integration of
sustainability in the supply chain activities (Brown, 1996; Carter et al., 2007). Improve the working
conditions of employees could lead to an increased motivation and productivity and thus to a
reduction of labor costs and of the absenteeism rate of supply chain personnel (Holmes et al.,
1996; McElroy et al., 1993). Moreover, companies that try to have a proactive behavior towards
environmental and social issues, could inspire government regulators to shape future regulations
on the base of company’s existing production and supply chain processes, leading to a difficult-to-
replicate competitive advantage for companies and their suppliers (Carter and Dresner, 2001).
Different studies proved that the implementation of ISO 14000 standards and the subsequent
installation of an Environmental Management System, can lead to reduced costs, shorter lead
times and better product qualify (Hanson et al., 2004; Montabon et al., 2000; Tibor and Feldman,
1996). For what concern the relationships with the other members of the supply chain, the
adoption of sustainable initiatives can enhance the reputation of the company in the eyes of
suppliers, customers, potential employees and shareholders (Ellen et al., 2006, Capaldi, 2005,
Klassen and McLaughlin, 1996).
The conclusion drawn by Carter and Rogers (2008) is that the proportion of environmental and
social initiatives which result in enhanced economic performance is relatively large, but it is
important to remember that true sustainable activities are only those lying at the intersection of
all the three areas of the Triple Bottom Line: environmental, social and economic. Moreover,
organizations that truly want to integrate sustainability in their corporate processes, should
explicitly and comprehensively incorporate social, environmental and economic goals in the
development of their strategic vision and long-term strategic objectives.
55
5 The Sustainability
along the
Furniture Supply
Chain
56
5.1 Introduction In 2000 the worldwide wooden furniture market was estimated at US 45 billion based on
manufacturer’s selling price (MSP). This, however, is just a small portion of the global trade of
primary processed wood products such as: round-wood, sawn wood, wood-based panels pulp and
paper, which stands at about US 240 billion per annum. Badanelli (1997) and Volpe (1997)
forecasted an annual growth of the 2% for the furniture industry, however, being furniture a non-
essential item, it is likely that furniture sales will be among the first to be affected during an
economic downturn.
USA and Japan are the two largest furniture markets, accounting to 37% of the global trade.
However, their domestic furniture manufacturing bases are not as competitive as their
counterparts in the emerging economies such as: Eastern Europe, Asia and Latin America (Smith
and West 1990). The pull factor created by these consumer economies and the push factor from
the vast manufacturing base of the emerging economies, have created a vibrant furniture trade as
it is clearly demonstrated by the growing exports of furniture from Asia.
A peculiarity of the furniture industry is that products are sold on a perceived value rather than on
an actual value. As a merchandise, the perception of a furnishing product is determined by its
aesthetic appeal, functionality and durability (Bennington 1985). However, today the perceived
value of goods is also very much dependent on the aspects of design and of a sympathetic use of
material. Customers in the furniture industry are concerned by the growing worldwide
environmental concerns and consequently they are pushed to modify their purchasing habits
(Ozanne and Smith 1996). If previously the furniture purchasing decision was determined by price
and quality, today customers also consider other elements such as: feel-good factor, pride of
ownership and environmental aspects.
57
Figure 36 - Contributions of three major product categories to environmental pressures in the EU25,
based on data from the EC EIPRO study (EC, 2006).
Furniture industry is a labor-intensive sector primarily dominated by small and medium-sized
enterprises (SMEs) and micro firms. It can be easily classified also as a dynamic sector; indeed, the
furniture industry can combine new technologies and innovation with cultural heritage and style,
and provides jobs for highly skilled workers. Traditionally furniture industry includes both craft-
based firms and large volume producers. With the advent of flat-pack or ready to assemble
designed furniture, mass producing furniture became a viable manufacturing strategy. The
furniture industry can be divided into four main product groups, each of which has distinct market
segments: (i) office furniture, (ii) kitchen furniture, (iii) bedroom furniture and (iv) dining/living
and shop furniture. This classification, however, do not differentiate between craft and mass-
produced items or between low and high-priced market items (IPI, 2005).
In the late 1990s, in many industrial sectors, among which also the furniture one, a new way of
approaching production, products and customers’ relationships has been detected. The old way
of producing, generally defined “mass production”, was replaced with a new industrial production
paradigm called “mass customization”. Mass customization consisted in the production of
personalized goods and services with an affordable price for most of customers.
Still in the 1990s, another substantial change characterized the traditional way of doing business:
the attention towards sustainability. Consequently, also the concept of competitiveness deeply
changed, in particular, in the field of furniture, new trends such as green production and low
environmental impact product, became key factors in order to continue to compete on the
market (Handfield et al., 1997). Being one of the most competitive sectors, furniture industry has
58
already started to consider sustainability as a distinctive factor that could lead to a competitive
advantage. Thus, today many companies are investing in new purchasing (i.e. green purchasing),
production (i.e. green production) and distribution (i.e. green packaging, clean transportation)
sustainable methods. Moreover, the diffusion of sustainable certifications in the fields of wood
and furniture is quickly growing, the most known are: ISO 14001, FSC (Forest Stewardship
Council), GREENGUARD and PEFC (Programme for Endorsement of Forest Certification).
Many furniture companies are also concerning about the energy issue by reducing their energy
consumption and investing in energy efficiency projects. In some cases, the installation of
renewable energy generation plants already led to the substantial reduction of energy
consumption and to the improvement of environmental performance. Moreover, in order to
comply with the stricter environmental and social regulations, the majority of the firms operating
in the furniture sector already substituted all the hazardous materials and the polluting
substances implied in the production process, with ecological e and cleaner ones. Another very
interesting social trend that is increasingly characterizing the furniture industry, is the decision to
purchase only certified and controlled wood coming from “conflict free” zones with regard for the
local communities (Brown P., 2010).
The growing interest towards sustainability and the changes in the customers’ requirements, has
led organizations to integrate sustainability in their operations and to develop many sustainable
practices. However, the factors hindering the complete development of a sustainable corporate
strategy are still various, for example the capability to reflect the benefits of a sustainable
approach into a clear improvement of business performance.
5.2 The Furniture Supply Chain Supply Chain Management is a crucial activity for the furniture industry: the sequence of
processes and associated information is very important. The processes characterizing the
furniture supply chain might be simpler compared to the ones of other industries, but the
information system is more complicated and require business software packages.
Typically, a furniture supply chain is composed by many different stages such as: hardwood
timber suppliers, sawmills transforming logs into green wood boards, kilns drying green wood
boards, furniture mills manufacturing furniture, warehouses, retailers, subcontractors and finally
customers. The main raw material of the supply chain is hardwood logs of various species and
qualities. These logs are transformed in sawmills into boards using sawing policies. Depending on
the inventory level and the customer known demand, the sawmill planner selects a sawing policy
59
to be applied to the raw material. These primary products are gathered into drying groups based
on their optimal drying time. Then, final products, the dried boards, are shipped to their
customers, the furniture maker (Ouhimmou et al., 2008).
Procurement can occur from private or public lands, usually companies prefer to supply from the
public forest in order to meet their commitments with the governments. The logs are delivered
and stored at different sawmill yards. Logs are transported by trucks owned by subcontractors
who have agreements with the furniture company. These companies also assure the
transportation of green hardwood boards between sawmills and kilns and transportation of dried
hardwood boards between kilns and furniture mills (Ouhimmou et al., 2008).
The drying process transforms green wood boards into dry wood boards by reducing the moisture
content of wood to 6–8%. Many other processes take place in the furniture mills before the final
product is achieved. The dry wood board is cut into dimension parts and panels. These items are
glued and machined, assembled, sanded, painted, packaged and shipped to warehouses.
Occasionally, furniture is directly shipped to the retailer (Ouhimmou et al., 2008).
Figure 37 – Wood Furniture Supply Chain (DaSilva, 2010)
Fig. 37 shows the wood furniture value chain, which for the forestry sector involves the provision
of seed inputs, chemicals, equipment and water. Cut logs then go to the sawmill, which obtains its
primary inputs from the machinery sector. From there, sawn timber moves to furniture
manufacturers who, in turn, obtain inputs from the machinery, adhesives and paint industries and
draw on design and branding skills from the service sector. Depending on which market is served,
the furniture then passes through various intermediary stages until it reaches the final customer,
who after use consigns the furniture for recycling or reuse.
60
5.3 Drivers for the integration of Sustainability in the
Furniture Supply Chain Many are the factors that can contribute to the development of a sustainable supply chain.
According to Caniato et al. (2012), the driving forces for businesses to coordinate supply chain
sustainability can be classified into three groups: (i) internal drivers (i.e. cost reduction and
Corporate Social Responsibility), (ii) market drivers (i.e. consumer demand) and (iii) legal drivers
(i.e. current and anticipated future legislation). Even if the Author didn’t expressly focused on the
wood and furniture industry, it is still possible to adapt the drivers he identified to this specific
case. In Literature, indeed, there are very few studied dealing exclusively with drivers of a single
sector. Specifically, the drivers enhancing furniture companies to adopt sustainable initiatives are
mainly coming from the external environment. There could be, for instance, customers’ specific
requirements, continuous changes in regulations and pressures coming from competitors.
Walker et al. (2008) grouped the drivers for the implementation of SSCM in two main categories:
external factors and internal factors. Among the most interesting internal driving factors, the
Authors mentioned organizational factors such as personal commitment of individuals (New at al.,
2000), personal and ethical values of the top management, but also the middle management’s
support is positively related to environmental purchasing (Carter et al., 1998). Another driving
force that often lead companies to adopt sustainability as a strategic competitive factor, is the
desire to reduce costs (Carter and Dresner, 2001; Green et al., 1996; Handfield et al., 1997).
Increasing pressures from internal investors and stakeholders in general has been observed as key
factors in the development of environmental policies (Green et al., 1996; Trowbridge, 2001).
SSCM can also be benefited by the adoption of an Environmental Management Systems (EMS) (C.
C. Chen, 2005; R. Handfield et al., 2005). Also, having a proactive attitude towards sustainability
can enhance firm competitiveness (S. Sharma and H. Vred, 1998; Q. H. Zhu et al., 2005) and
improve firm’s reputation and environmental risk (C. R. Carter and J. R. Carter, 1998; P. Teuscher,
2006). Many Authors in Literature confirm that development of an integrated sustainable strategy
and ensuring its alignment with corporate strategy is a great benefit for the company (A. Hervani,
2005; M. D. Hanna, 2000; M. Day and S. Lichtenstein, 2006; R. Narasimhan and A. Das, 2001).
Trowbridge (2001) indicates also the willingness to improve risk management due to potential
interruptions in the supply chain and the collaboration with suppliers to find alternative material
and equipment that minimize environmental impacts as internal drivers for the implementation
of a SSC.
61
The second category of drivers identified in the study of Walker et al. (2008) is the one of external
factors. External drivers are generally related to a range of stakeholders: for instance, large
customers may influence small suppliers to meet SSCM practices (J. Hall, 2001; S. Walton et al.,
1998) and exert pressure in the supply chain (S. Seuring and M. Müller, 2007). Regulations have
often shown to be an important external driver for companies’ environmental efforts (Beamon,
1999; Green et al., 1996; Handfield et al., 1997; Walton et al., 1998; Zhu et al., 2005). It is
important, however, to distinguish between the firm’s approach towards sustainability: some
compliance-driven companies, which act in a reactive mode, may not encounter the same
improved environmental performance as companies that are motivated and involved do
(Handfield et al.,1997). Environmental regulation can be considered as a motivator to innovate
and reduce the environmental impact at low cost, rather than a cause for litigation (Porter and
Van de Linde, 1995). In sum, Walker et al. (2008) identified external regulation and legislation as
strong external driver for environmental supply chain projects, especially for companies which act
in a proactive and innovative way. Customers are also often pointed out as an intense driving
force for green supply chain management development. Especially in the furniture industry,
customers (manufacturers of furniture) encouraged suppliers to improve their environmental
performance (Handfield et al., 1997). These customers were in turn driven by end-consumers
requesting more green products. Similarly, vehicle manufacturers encouraged strategic suppliers
to obtain accreditation, such as Eco-Management and Audit Scheme (EMAS) (Lamming and
Hampson, 1996). Small companies and high-profile firms are particularly suffering the pressures
coming from their customers for the engagement in green management practices (Hall, 20012),
because in these cases the bargaining power is all in the customer’s hands.
In the following table (Table 11) a summary of the most diffused drivers affecting companies’
decision to integrate sustainability in their corporate strategies is proposed. The collection has
been performed after a limited review of the Literature on the main drivers for the development
of Sustainable Supply Chains with a particular focus on the furniture sector. As can be observed in
the following chart, there are very few drivers that can be considered industry-specific, the main
reason is that in Literature there are limited studies on the drivers affecting exclusively the
furniture industry, usually this theme is treated in more general terms. However, the review
proposed below can be considered a good proxy of the key factors characterizing the
implementation of SSCM in the furniture industry.
62
DRIVERS Reference
Behavior requirements of the employees Zhang at al., 2014
Central governmental and regional environmental
regulations Zhu et al., 2007, Zhang at al., 2014
Common global environmental standards such as ISO
14000
Rappaport and Flaherty, 1992;
Rondinelli and Berry, 2000; UNCTAD,
1993; Epstein and Roy, 1998; Miles
and Russell, 1997
Pressures by competitors Zhu et al., 2007; Walker et al., 2007,
Polonsky et al., 2001
Cost reduction Zhu et al., 2005; de Brito et al., 2008;
Dowell et al., 2000; Christmann and
Taylor, 2001, Zhang at al., 2014
Customers environmental requirements and
recommendations
Zhu et al., 2008 and Christmann and
Taylor, 2001, Zhu et al., 2007, Polonsky
et al., 2001, Zhang at al., 2014
Environmental partnership with suppliers Zhu et al., 2007, Zhang at al., 2014
Establishing company's green image Zhu et al., 2007, Zhang at al., 2014
Export countries' environmental regulations Zhu et al., 2007
Needs to improve the competitiveness of enterprises Zhang at al., 2014
Policies from corporate headquarters Hadlock, 1994; Hansen et al., 2004
Potential liability for disposal of hazardous materials Zhu et al., 2007
Pressure by non-governmental organizations (NGOs) Maxwell et al., 1997
Pressure by stakeholders Azzone, Bertelè, 1994, Kovács, 2008
Products potentially conflict with laws Zhu et al., 2007
Recommendations and requirements of the logistics
partner Zhang at al., 2014
Table 11 - A review of the drivers affecting the development of SSCM
63
5.4 Sustainable Practices along the Furniture Supply
Chain The timber processing and manufacturing industry is particularly exposed to criticism coming
from government, industries and society of the sector regarding sustainability issue. Having
products that are obtained by renewable natural resources from forests, wood sector is well
placed to provide products that enhance long-term environmental, economic and social
sustainability. One of the top strategic objectives of this industry is to enhance availability and
utilization of forest biomass by recovering wood from processing and end life products
(Commission of the European Communities, 2007-2013; European Forest Based Sector, 2006). It is
generally recognized that recovered wood provides a high-volume resource for recycled products
and new advanced materials, further enhancing the environmental profile of wood. Market
research has revealed that the lack of implementation of sustainable practices, especially waste
recovery, by small and medium businesses (SMEs), is due to the perception that there is low cost
benefit in wood waste management, a lack of awareness and understanding and little or no
direction about how to recycle the waste. Empirical results from the field, however, showed that,
to be successful, environmental management strategies must be integrated into all the stages of
the value chain through the implementation of specific measures and initiatives.
The business press (bot academic and practitioner) is also validating the importance of
sustainable practices along the supply chain of a business by publishing a growing number of
articles related to the topic. For example, in 1992, Business Horizons published a special issue
devoted to research into environmental management issues (vol. 35, n. 2). Since 1994 the
Harvard Business Review has published different articles on the importance of environment to
business (Walley and Whitehead, 1994; Porter and van der Linde, 1995a; and a collection of
vignettes entitled 'The Challenge of Going Green, 1994'). The opinion of the business stress is
clear: managers should take in greater considerations environment and, more generally,
sustainability. In particular, managers should actively act to develop proactive environmental
strategies for the organization. The activities that are commonly suggested in Literature correctly
integrate sustainability into business strategy, are related to the areas of purchasing, operations
management and distribution/logistics management (e.g. new product design, process choose,
supplier selection, quality control and management, etc...), however in the following pages an
overview of the most diffused sustainable practices in the wood and furniture industries is
proposed.
64
5.4.1 Green Design practices
The new product development (NPD) phase is always crucial at a design phase, indeed in that
moment designers decide materials, production procurements, package design and energy usage.
All these elements have an impact both on the primary costs and profits of the new product and
affect its environmental impact along its lifecycle. The “design for” concept includes some
environmentally-friendly practices such as: design for disassembly, reuse, recycle the product, but
also design to easily reuse, remanufacture or recycle components at the end of their lifetime.
However still many companies are not sure about the benefits of these practices because of the
conflict between green requirements and traditional product performance (speed and
convenience). The reasons why a company should choose to adopt green design techniques are
various: green design organizations could possess DfE concepts and control the following key
factors: (i) abstaining from utilizing toxic substances, (ii) saving energy, (iii) complying with DfDRR
principles and (iv) increasing innovation capabilities.
We can consider the implementation of DfE techniques as an example of integral component of a
proactive responsive strategy to environmental regulation, as other environmentally oriented
design techniques (Gupta, 1995). The use of Design for Environment, indeed, can lead to a
competitive advantage, moreover integrating environmental considerations throughout the
stages of the product design cycle (i.e. concept development, prototype, pre-production and full
production) defines the constraints that product and processes must meet (Allenby, 1993).
Acting on the very initial phases of the product realization is one of the most effective way to
eliminate the negative environmental impact and to reduce the waste generation along the
production process. Waste, indeed, is best eliminated or reduced by paying attention to details in
the design stages of products. In the production process, waste is eliminated by correctly
producing an item according to specified standards the first time, and by building quality into the
product at each step within the process.
The product design phase has direct consequences on the production process efficiency, the
packaging phase, the transportation activity, the durability and reliability of the product, the
subsequent disassembly phase and also other functions and performance criteria (Carter and
Carter, 1998; Gupta, 1995; Klassen and McLaughlin, 1993; Kriwet et al., 1995). A sustainable
approach to product design is the natural consequence of a quality focus, which directly affects
the impact on natural resources and the environment. The core concepts of environmentally
conscious product design are:
65
1. Design for ease of disassembly
2. Design for disposability that will not have a negative effect on the environment
3. Design to eliminate harmful processes in manufacturing
4. Design for ease of distribution and return
5. Elimination of many or all hazardous materials used
6. Design for durability and reliability
7. Design for customer success
According to M. A. Rosen and H. A. Kishawy (2012), sustainability can be incorporated into design
during all phases of the design process, moreover they indicated some of the tools typically used
to support sustainability efforts:
- Design for environment and Life Cycle Assessment: the idea of design for environment
started with the growing awareness towards environmental impact throughout the
design process. To develop a holistic and comprehensive understanding of environmental
impacts, the full life cycle of a product or process normally need to be considered. The
most widespread and complete instrument for the measurement of these targets is surely
the Life Cycle Assessment (LCA). LCA is a tool for improving environmental performance
of processes and systems and it is often employed in sustainability world. The core
concept of LCA is to analyze all the phases of the product or service life in order to reduce
environmental damage by enhancing resources conservation and efficiency. The four
steps of LCA are: goal and scope definition, life-cycle inventory analysis, impact
assessment and interpretation. LCA is a powerful instrument in the design phase of a
product, indeed it allows to examine consumption of energy and other resources and
environmental discharges of material and energy wastes both for existing process and for
design alternatives (Hendrickson, C et al., 1998; Harms, R, 2008). Life Cycle Assessment
tool helps companies to select strategies for the design/selection of products and
materials, moreover it is widely used also in pollution prevention applications. LCA is
generally incorporated into ISO series 14040 standards, but it is often used also in
conjunction with evaluation of toxicity and risk potential to foster manufacturing
sustainability.
66
- Design for resource and energy sustainability: from the perspective of resource
utilization, Smith and Rees (1998) described sustainable development as a pattern of
resource use that aims to meet human needs while preserving the environment so that
these needs can be met now and in future generations. Rosen and Abu Rukah (2010)
suggested the concept of energy sustainability is not just the mere application of
sustainability to energy, but it is more complex and involved. Energy sustainability indeed
regards the provision of energy services in a sustainable manner, meaning in a way that
satisfy the basic necessities of the presents and the futures without damaging the
environment.
- Design for sustainability: finally, M. A. Rosen and H. A. Kishawy (2012) indicated design
for sustainability as one of the most diffused practice of green design. It is about the
incorporation of sustainability in design activities, there are many different ways in which
this could be performed: for example, McDonough and Braungart (2002) described a
triple bottom line approach through which firms can balance economic objectives with
social and environmental ones. Karlsson and Luttropp (2006) described an eco-design
approach in which economic, design and ecological aspects are equally considered,
Braungart et al. (2007) proposed eco-efficient strategies which focus on maintaining or
increasing the value of economic output while decreasing the impact on ecological
systems. The relationship between quality function deployment, life cycle analysis and
contingent valuation is investigated by Borea and Wang (2007), and these factors are
compared with customer willingness to pay for environmentally-friendly products. Grote
et al. (2007) provided a product development approach based on design for X (DFX) tools,
while Sakao (2007) invented a model integrating quality function deployment, life cycle
analysis and theory of inventive problem solving (TRIZ) for environmentally conscious
design.
in Literature there are many different references to green design practices or sustainable
practices, in general they are treated together with other more diffused practices such as green
purchasing or green production. However, after an accurate, but still limited, review of the
Literature, in the following table (Table 12) some of the most relevant practices in the field of
product design are reported.
67
Table 12 - Green design practices
5.4.2 Sustainable production practices
Green designs techniques outcomes affect sequential stages across the entire supply chain, but
they have effects especially on green manufacturing practices and techniques. Manufacturing
processes indeed, consume a lot of energy from fossil fuels such as: coal, coke, natural gas and
PRACTICE Reference
Cradle to grave design Shrivastava, 1995b
Design for avoidance or reduction of the use of
hazardous products
Zhu et al., 2008a, b; Qinghua Zhu, Joseph
Sarkis, Kee-hung Lai, 2007
Design for disassembly
Shrivastava, 1995b; Carter and Carter, 1998;
Gupta, 1995; Klassen and McLaughlin, 1993;
Kriwet et al., 1995; Gonzalez et al., 2008; Zhu et
al., 2008a; and Holt and Ghobadian, 2009
Design for disposability (in a way that avoid a
negative effect on the environment)
Carter and Carter, 1998; Gupta, 1995; Klassen
and McLaughlin, 1993; Kriwet et al., 1995
Design for durability and reliability Carter and Carter, 1998; Gupta, 1995; Klassen
and McLaughlin, 1993; Kriwet et al., 1995
Design for ease of distribution and return Carter and Carter, 1998; Gupta, 1995; Klassen
and McLaughlin, 1993; Kriwet et al., 1995
Design for environment Hart, 1997
Design for reduced consumption of
material/energy
Qinghua Zhu, Joseph Sarkis, Kee-hung Lai, 2007
Design for reduced environmental waste
Walton, S. V., Handfield, R. B., & Melnyk, S. A;
Chen, 2011
Design for reuse, recycle, recovery of material,
component parts Qinghua Zhu, Joseph Sarkis, Kee-hung Lai, 2007
Design for the elimination of harmful processes
in manufacturing
Carter and Carter, 1998; Gupta, 1995; Klassen
and McLaughlin, 1993; Kriwet et al., 1995
Eco-design
Hu and Hsu, 2006; Zhu et al., 2007; Zhu et al.,
2008a; Routroy, 2009; EC, 2011a; Caniato et al.,
2012; Styles et al., in press
Lifecycle analysis (LCA)
Davis, 1993; Walton et al. (1998); Sarkis (2001);
Bovea e Vidal (2003); Rao e Holt (2005); Pagell
e Wu (2009); Zailani et al. (2012)
68
combustion and thus they generate a lot of air pollution (U. Pal, 2002). Generally, green-
manufacturing studies deal with two main topics: 1) supplying a greener source of energy and
saving energy via new technologies, 2) extending the life-cycle of pollutants and wastes, and
increasing the production efficiency via new processes (U. Pal, 2002). Subsequently it can be said
that in general successful green manufacturing should encompass four key factors: (i) the amount
of energy and resource utilization, (ii) the green degree of energy, (iii) the amount of hazardous
waste and (iv) the number of reuses of hazardous waste.
The application of different practices leads to different kind of competitive advantages. Thus, it is
important to correctly relate each specific best practice with its associated advantage. P.
Christmann (2000), performed a study concerning the process-focused best practices and their
effects on cost advantage, these practices, indeed, can be considered as the basic precondition
for the implementation of all best practices of environmental management and the most basic
building block of a responsible environmental strategy. According to Hart (1995), firms will only be
able to successfully adopt product stewardship strategies and achieve differentiation through
environmentally responsible products, if they have first made significant progress in the
implementation of pollution prevention technologies, which is a process-focused best practice.
Moreover, process-focused practices can create cost savings faster that other best practices of
sustainable management, subsequently both internal managers and external stakeholders are
able to observes cost savings is the short-term.
One notable example of green initiative applied to the production process area, is the one
proposed by 3M known as Pollution Prevention Pays (PPP), which emphasized pollution
prevention, natural resource conservation and continuous improvement (Hart, 1995; Shrivastava,
1995c; Stead&Stead, 1996). Since its inception in 1975, PPP program has already allowed 3M to
save more than $810 Million (Minnesota Mining and Manufacturing Company, 1998). Other two
environmental programs that focus on pollution prevention in the production process are for
instance Dow’s Waste Reduction Always Pays (WRAP) or Chevron’s Save Money and Reduce
Toxins (SMART) programs, which are surely less known than PPP program, but have produced
substantial cost savings too (Stead & Stead, 1996).
Later in the study, P. Christmann (2000) analyzed three process-focused best practices of
environmental management that were used in an empirical analysis. In particular, the Author
developed hypotheses regarding direct effects on cost advantage and also considering the
potential moderating effect of firm specific complementary assets that might be required to
69
realize a cost advantage from the implementation of these practices. The first practice analyzed
by Christmann was the use of pollution prevention technologies, this practice has been widely
indicated in Literature as an important best practice of environmental management. The use of
pollution prevention technologies has the potential to increase the efficiency of production
(Schmidheiney, 1992; Smart, 1992), to reduce cycle time by simplifying or removing unnecessary
steps in operations or may reduce downtime through use of higher-quality monitoring equipment
(Porter & van der Linde, 1995b). It is important to note that, in order to be source of competitive
advantage, these technologies must be difficult to imitate (Barney, 1991; Lippman & Rumelt,
1982; Wernerfelt, 1984), thus end-of-pipe cannot be expected to lead to a sustainable cost
advantage because they are frequently off-the-shelf technologies.
The second best practice analyzed in the study was the innovation of proprietary pollution
prevention technologies. The innovation of already owned technologies is quite different from the
acquisition of brand new technologies (Ashford, 1993). In the first case, managers could become
aware of inefficiencies in existing production processes or products which increases the potential
for cost-savings efficiency improvements (Porter & van der Linde, 1995a, 1995b). The fact that
these technologies are developed internally to the company, automatically guarantee the
protection through barriers to imitability.
Finally, P. Christmann (2000) indicated early timing as the third best practice, meaning the
integration of environmental issue into the company’s processes before competitors. Anticipating
future environmental regulation and implementing technologies to comply with regulation before
it is enacted can lead to substantial reduction of costs of compliance with future regulations of
firms. Second, facing environmental issues before competitors can lead to a significant gain in
cost advantage through the learning curve effects (Lieberman & Montgomery, 1988; Nehrt, 1996,
1998). Finally, addressing environmental problems before they are addressed by regulations, can
significantly influence the future development of regulations.
Susana G. Azevedo et al. (2011) analyzed green practices implementation at different level along
the supply chain: the upstream phase, the focal company and the downstream phase. At a focal
company level, the Authors identified three significant practices: 1) Minimizing waste: which
means handle with the waste after it has been generated (Khidir and Zailani, 2009), but also
eliminate waste or non-value-adding activities throughout the chain thanks to the incorporation
of green practices into lean practices (Ohno, 1998). Consequently, waste minimization not only
can lead to a reduction of environmental costs, but also improve efficiency in the supply chain
70
processes. 2) Decreasing the consumption of hazardous and toxic materials. This initiative could
be implemented by the single organization and lead to cost and quality benefits, anyway it would
be much more efficient if the implementation involved also suppliers. 3) Reverse logistics: which
has been depicted by the Authors as a green practice able to bring huge benefits to the
organization such as: waste minimization and product recover, it is still considered by the
managers as an environmental cost, thus minimizing this cost is important to the total
environmental gain from recovery. 4) ISO 14001 certification: which is an internationally
recognized standard defining the criteria for an Environmental Management System (EMS).
ISO 14000 standards were built on the basis of the more successful ISO 9000 standards and
represent a set of measures which can be used to assess the extent to which a company is
environmentally responsible in three categories:
1. Management systems: systems development and integration as well as the introduction
of environment concerns into general business
2. Operations: natural resource use, energy consumption, number of incidents
3. Environmentally-related systems: measurement, assessment and management of
emissions, effluents and other similar waste streams.
Quality and Environment are two sides of the same coin, it is emblematic the fact that the ISO
14000 was modeled after its predecessor, the ISO 9000 quality certification system. To cite
Makower (1994): “waste is a defect, zero defects means zero waste”, this quote expresses quite
well the strict correlation between quality and environment which is further stressed in the view
Klassen and McLaughlin (1993) regarding the cost of quality and quality management, where the
Authors expressly recommend pollution prevention rather than pollution control because it is
much cheaper.
Even if the cost of ISO 14000 certification is generally perceived by organizations as an
environmental cost, it promotes the reduction of resource usage and waste reduction and thus
contributes to quality improvements (Nawrocka et al., 2009). However, also in this case, the
implementation of this practice will result more efficient if also the suppliers are involved.
In the following chapter the benefits of a collaboration with the upper part of the supply chain for
the development of green practices will be better explained. In the following chart (Table 13),
71
instead, a summary of the most common green production process practices in the field of
furniture is proposed.
PRACTICE Reference
Application of clean technologies
EC, 2011a; Caniato et al., 2012; Styles
et al., in press
Elimination of all non-value added activities
Haw-Jan Wu, Steven C. Dunn, 1995
Elimination of many or all hazardous and toxic materials
employed in the production process (i.e. substitute the
UF resin for alternative ones, use of modified urea
formaldehyde glue, cross linked PVA and polyurethane
glue, use of water based vanish)
Carter and Carter, 1998; Gupta, 1995;
Klassen and McLaughlin, 1993; Kriwet
et al., 1995; Zhu et al., 2007; Vachon,
2007; Walton, S. V. et al., 1998; D.R.
Iritani et al., 2015; G. Daian, B.
Ozarska, 2009; S. González-García et
al., 2011
Extend the products' life cycle by selecting materials with
longer useful lives
Walton, S. V. et al., 1998; Woellert
(2006); Guide et al. (2003); Linton e
Johnston (2000)
Implementation of green manufacturing techniques Chiau-Ching Chen et al., 2012
Implementation of internal environmentally friendly
operations
Gonzalez et al., 2008; Zhu et al.,
2008a; Holt and Ghobadian, 2009
Implementation of pollution prevention techniques or
innovation of proprietary pollution prevention
technologies
S. L. Hart, 1995; P. Christmann, 2000;
Ashford, 1993; Porter & van der
Linde, 1995a, 1995b
Implementation of risk-prevention techniques Hu and Hsu, 2006; Gonzalez et al.,
2008
Integration of a separator in the separator panel S. González-García et al., 2011
Internal recycling and reuse of materials within the
production phase (i.e. sawdust and wood scraps)
Vachon, 2007; S. González-García et
al., 2011; Handfield et al., 1997
Order timber and MDF (Medium-density fibreboards) at
specific sizes G. Daian, B. Ozarska, 2009
Outsourcing of the majority of processing operations
which generate considerable amount of leftover (i.e.
turning, dressing, joinery component, veneer lamination)
G. Daian, B. Ozarska, 2009
Product and by-product recycling Carter and Carter, 1998; Carter and
Ellram, 1998; Carter et al., 1998;
Murphy et al., 1995; Rao and Holt,
72
2005; Vachon, 2007; Gonzalez et al.,
2008; Holt and Ghobadian, 2009;
Paulraj, 2009; Walton, S. V. et al.,
1998; Ashford, 1993; Dechant &
Altman, 1994; Florida, 1996; Hart,
1995; Porter & van der Linde, 1995a,
1995b
Product remanufacturing Walton, S. V. et al., 1998; Polonsky,
M. J., & Rosenberger, P. J., 2001
Product reuse
Carter and Carter, 1998; Carter and
Ellram, 1998; Murphy et al., 1995;
Rao and Holt, 2005; Vachon, 2007;
Gonzalez et al., 2008; Holt and
Ghobadian, 2009; Paulraj, 2009
Redesigning production processes
P. Christmann, 2000; Polonsky, M. J.,
& Rosenberger, P. J., 2001; Ashford,
1993; Dechant & Altman, 1994;
Florida, 1996; Hart, 1995; Porter &
van der Linde, 1995a, 1995b
Reducing energy consumption in the production process
Rao and Holt, 2005; Gonzalez et al.,
2008; Holt and Ghobadian, 2009;
Paulraj, 2009; S. González-García et
al., 2011
Reduction of raw material Gonzalez et al., 2008
Reduction of resources
Carter and Carter, 1998; Carter and
Ellram, 1998; Murphy et al., 1995; S.
González-García et al., 2011
Reduction of waste
King and Lenox, 2001; Green et al.,
1998; Florida, 1996; Rao and Holt,
2005; Paulraj, 2009; Walton, S. et al.,
1998
Regionally sourced products
D. Styles et al., 2012
Selling scraps and used materials Zhu et al., 2008b; Polonsky, M. J., &
Rosenberger, P. J., 2001
Substitute less polluting inputs
Ashford, 1993; Dechant & Altman,
1994; Florida, 1996; Hart, 1995;
Porter & van der Linde, 1995a, 1995b
Use of alternative energy sources González-García et al., 2011; Azevedo
73
et al. (2011); Harms et al. (2012);
Mitra e Datta (2014); Zailani et al.
(2012)
Use of automated cutting machines generating finished
dimensions specified for the furniture parts G. Daian, B. Ozarska, 2009
Use of environmentally friendly raw materials such as
agricultural waste (i.e. rice husk, coconut trunks and oil
palm biomass, kenaf and sawdust) and wood waste as an
alternative raw material in substitution of virgin wood
Rao and Holt, 2005; Gonzalez et al.,
2008; Holt and Ghobadian, 2009; San,
H.P. et al., 2015; D.R. Iritani et al.,
2015; S. González-García et al., 2011
Use of filters and controls for emissions and discharges Gonzalez et al., 2008; Handfield et al.,
1997; Azevedo et al. (2011); Sarkis
(2001)
Use of standardized components to facilitate their reuse Gonzalez et al., 2008; S. González-
García et al., 2011; Mirabella et al.
(2014)
Waste Management System (management and recovery
of the energy amount, water used and produced and
recycled waste)
Klassen e McLaughlin (1996); Min e
Galle (1997);
Azevedo et al. (2011)
Adoption of environmental certification (e.g. ISO 14001
Daily e Huang (2001); Rao e Holt
(2005); Vachon e Klassen (2006); Zhu
et al. (2008); Nawrocka et al. (2009);
Azevedo et al. (2011)
Adoption of health & safety certification (e.g. ISO 18001) Daily e Huang (2001); Kleindorfer et
al. (2005); Pheng e Kwang (2005)
Table 13 - Sustainable production practices
5.4.3 Sustainable Purchasing practices
Susana G. Azevedo et al. (2011) in their study on green manufacturing practices implementation,
included also those initiatives which regard mainly the upstream part of the supply chain, and so
basically the relationship with suppliers. Environmental collaboration with suppliers has been
defined as the interaction between organizations in the SC to joint environmental planning and
shared environmental know-how or knowledge, having a positive effect on delivery and flexible
performance (Vachon and Klassen, 2008). As the most of initiatives which imply the collaboration
of suppliers, this practice significantly increases the level of SC integration, moreover it improves
the ability to coordinate operations and workflow in different SC tiers in order to better respond
to customer requirements (Gunasekaran et al., 2008). Environmental collaboration with suppliers
contributed to business waste reduction, environmental cost minimization and SC cost control. To
successfully implement this measure, it is necessary that the focal company dedicates specific
74
resources to the development of cooperative activities (Vachon and Klassen, 2008). Min and Galle
(2001) added that concerted efforts by buyers and suppliers are needed for synergistic
improvement is environmental quality.
A second practice concerning the collaboration with suppliers individuated is environmentally
friendly purchasing. G. Azevedo et al. stated that even if in general the purchase of green
materials represents a cost, it could still create an economic advantage since it reduces disposal
and liability costs while improving the resource conservation and public image of the organization
(Min and Galle, 2001). Despite its multiple advantages, environmental purchasing is still a minor
activity even among the firms which are certified ISO 14000 (Chen et al., 2004).
Finally, according to Min and Galle (2001), it is fundamental to include suppliers’ ability to develop
environmentally friendly goods among the traditional supplier selection factors. Another
interesting action that a company can implement with the collaboration of its partners is working
with designers and suppliers to reduce and eliminate product environmental impact, as indicated
by Susana G. Azevedo et al. (2011) in their study. The Authors suggested that designers should be
aware of the impact of their designs on energy and material requirements for manufacturing, and
thus an increase of responsibility in the product development stage could lead to huge benefits in
the following phases of the process (Tsoulfas and Pappis, 2006). Equally, design collaboration with
key suppliers could enhance green efforts and reduce the product introduction time (Routroy,
2009), in this way the businesses waste and environmental costs are reduced while customer
satisfaction is maximized.
The relationships formed between the organization and the government, suppliers, customers
and competitors are vital for a supply chain to proactively address environmental issues and
problems. In particular, interactions with suppliers have direct effects on the subsequent
processes and outputs of the purchasing firm. An environmental audit is one effective way to
ensure that a supplier’s processes are aligned with the purchasing firm’s ones. This practice can
also be applied in the field of environmental collaboration: the manufacturing firm periodically
verified that its suppliers’ activities are not contradictory to its environmental posture. Anyway,
this procedure is still limited diffused as it represents an additional cost for the organization and
can be classified as a transaction cost. Another way to ensure that suppliers are complying with
the environmental policy of the purchasing company, is to verify the adoption of environmental
standards such as ISO 14000 of the supplier. In addition to audits and standards there are also
other methods that purchasing professionals can implement to control or influence
75
environmental activities: for instance, suppliers can be evaluated through the use of qualitative or
quantitative rating systems (Noci, 1997). Companies could also decide to provide its suppliers
with specific design requirements that include environmental specifications for purchased items,
or they could directly support suppliers it the choice of materials, equipment, parts and services
that are in line with the global environmental goals (Lamming and Hampson, 1996; Zsidisin and
Hendrick, 1998). The development of the suppliers’ sustainable capabilities, should also include
the improvement of social performance. Thus, it is necessary to evaluate also the health and
safety of the employees, the safeguarding of equal opportunities, the correct use of auditing
instruments to evaluate the internal environment (Preuss, 2001; Holt, 2004; Zhu et al., 2008).
To highlight which are the potential benefits deriving from the implementation of environmental
collaboration practices with other members of the supply chain, communication skills are a
fundamental strategic tool. An open communication should occur both within the company and
between the company and suppliers, customers, industry and society. The negative reputation of
a product due to its detrimental effects on the natural habitat could be improved by looking at its
entire life cycle and its subsequent impact on the environment (Carter and Carter, 1998; Carter et
al., 1998; Klassen, 1993).
Finally, it is significant to note that the collaborative environmental efforts of one member of the
supply chain may be mitigated if another trading partner is stronger and less involved in the
reduction of environmental effects (Walton et al., 1998). Moreover, the more the firm is
powerful, the more it can have direct impact on the environmental performance of other supply
chain members.
In their 2012 study, Caniato et al. indicated some collaboration practices with suppliers aimed to
minimize environmental impact, the evidences they reported are: (i) select suppliers on the basis
of environmental criteria (i.e. emissions levels, adoption of cleaner technologies), (ii) ask suppliers
to sign their specific company’s codes of conduct to ensure that environmental standards are
respected, (iii) establish long-term relationships with suppliers aimed at continuous improvement,
(iv) check the status of environmental conditions with a transparent and continuous approach.
One of the most pre-eminent example of company that successfully implement green purchasing
practices in the field of furniture is for sure IKEA. IKEA’s Forestry Standard requires wood product
suppliers to document chains of custody and ensure that forests are sustainably managed. The
standard is enforced through risk-based supplier auditing and forestry inspections, with
approximately 10% of wood supplies audited in 2009 (IKEA, 2010 a,b).
76
The following table (Table 14) represents a non-exhaustive summary of the most widespread
practices in the fields of sustainable purchasing, green collaboration with suppliers, green
assessment of suppliers and green communication with suppliers.
PRACTICE Reference
Communicating to suppliers environmental
and/or ethical criteria for goods and services
Hu and Hsu, 2006; Zhu et al., 2008a; Holt and
Ghobadian, 2009
Cooperation with suppliers for environmental
objectives Q. Zhu, J. Sarkis, 2004
Definition of a Code of Conduct for supplier
F. Caniato et al., 2012; David Styles et al., 2012¸
Pedersen e Andersen (2006); Harms et al.
(2013)
Encouraging supplier to adopt more
environmentally friendly behaviors Rao and Holt, 2005; Holt and Ghobadian, 2009
Encouraging suppliers to take back packaging Rao and Holt, 2005; Holt and Ghobadian, 2009
Rewarding suppliers with monetary or image
incentives for the achievement of
environmental sustainability performances
Krause et al. (2000); Peters (2010); Gimenez e
Sierra (2012); Harms et al. (2013)
Rewarding suppliers with monetary of images
incentives for the achievement of social
sustainability performances
Krause et al. (2000); Peters (2010); Gimenez e
Sierra (2012); Harms et al. (2013)
Selection of suppliers who comply with the
minimum standards and regulations regarding
sustainability and have environmental and
social certifications (ISO 14001, SA8000)
Walton et al. (1998); Zsidisin e Siferd (2001;
Handfield et al. (2002); Azevedo et al. (2011);
Mitra e Datta (2014)
Environmental and social monitoring of second-
tier suppliers (through supplier's self-
evaluation)
Hu and Hsu, 2006; Vachon, 2007; Zhu et al.,
2008a; Holt and Ghobadian, 2009; Paulraj,
2009; Zhu et al., 2008b
Environmental and social monitoring of
suppliers (through supplier's self-evaluation)
Hu and Hsu, 2006; Vachon, 2007; Zhu et al.,
2008a; Holt and Ghobadian, 2009; Paulraj,
2009; Zhu et al., 2008b
Environmental audit for suppliers’ internal
management
Q. Zhu, J. Sarkis, 2004; Hu and Hsu, 2006;
Vachon, 2007; Zhu et al., 2008a; Holt and
Ghobadian, 2009; Paulraj, 2009; Zhu et al.,
2008b
Environmental collaboration with suppliers
providing design specification to suppliers that
include environmental requirements for
purchased item
Zhu et al., 2008b
Establish long term relationships with suppliers F. Caniato et al., 2012; Min e Galle (1998);
77
aimed at continuous improvement Krause et al. (2000); Bowen et al. (2001);
Zsidisin e Siferd (2001); Handfield et al. (2005);
Carvalho e Cruz- Machado (2011); Pagell e Wu
(2009)
Getting recognition for environmentally positive
behavior Hu and Hsu, 2006; Gonzalez et al., 2008
Green procurement/sourcing Holt and Ghobadian, 2009; Routroy, 2009
Local sourcing
David Styles et al., 2012; Narashiman and Nair
(2005); Beamon (2008); Halldorsson et al.
(2009); Pagell e Wu (2009); Azevedo et al.
(2011)
Promoting ISO 14000 certification of suppliers
Zhu et al., 2008 a,b
Providing design specification to suppliers that
include environmental requirements for
purchased item
Q. Zhu, J. Sarkis, 2004
Second-tier supplier environmentally friendly
practice evaluation
Q. Zhu, J. Sarkis, 2004; Walton et al. (1998);
Preuss (2001); Holt (2004); Vachon (2007); Zhu
et al. (2008); Holt and Ghobadian (2009);
Paulraj (2009); De Marchi et al. (2013)
Select suppliers on the basis of environmental
criteria (i.e. emissions levels and adoption of
cleaner technologies)
EC, 2011a; Caniato et al., 2012; Styles et al., in
press
Strategic collaboration on product and standard
development
David Styles et al., 2012
Suppliers’ ISO14000 certification Q. Zhu, J. Sarkis, 2004
Support suppliers with established
environmentally responsible reputations Walton, S. V. et al., 1998
Switch from one raw material supplier to
another with more ecofriendly processes Polonsky, M. J., & Rosenberger, P. J., 2001
Working across the supply chain with both
customers and suppliers on environmental
initiatives
Vachon and Klassen, 2006b
Working with designers and suppliers to reduce
and eliminate product environmental impact Zhu et al., 2008 a,b
Working with industry peers to standardize
requirements for suppliers and purchasing
items
Hu and Hsu, 2006
Working with product designers and suppliers
to reduce and eliminate product environmental
Lippmann, 1999; Zhu et al., 2007; Holt and
Ghobadian, 2009; Paulraj, 2009
78
impact
Collaboration with suppliers to improve their
manufacturing processes in order to reduce
their environmental impact
Walton et al. (1998); Krause et al.
(2000); Bowen et al. (2001); Zsidisin e Siferd
(2001); Styles et al. (2012); De Marchi et al.;
(2013)
Jointly setting targets for suppliers for
improving their environmental sustainability
performances
Walton et al. (1998); Krause et al.
(2000); Bowen et al. (2001); Zsidisin e Siferd
(2001); Styles et al. (2012); De Marchi et al.;
(2013)
Jointly setting targets for suppliers for
improving their social sustainability
performances
Ringov e Zollo (2007)
Table 14 - Sustainable purchasing practices
5.4.4 Sustainable collaboration with customers
Compared to the collaboration with suppliers, the sustainable collaboration with customers’
practices are still at an embryonic phase. This difference is also reflected by Literature gap:
indeed, while there are several papers dealing with the sustainable purchasing topics, only few of
them dedicate a section to the sustainable practices involving the downstream phase of the
supply chain.
The first aspects that all manufacturing firms should consider if they want to be successful, are
the customer’s requirements. A strong attention to the customer’s needs, indeed, can lead to an
improvement of financial and marketing performance (Green et al., 2005). When clients start to
ask for eco-friendly products and services, it is important that producers are able to provide them.
Producing a product that remain unsold because it does not satisfy the customers’ demand, is
harmful for the environment, moreover the raw materials have been unnecessarily consumed.
Thus, products must have the functionalities required by the market and at the same time respect
the environment. The best way to ensure the respect of the customers’ requirement is to
cooperate and communicate with them.
In their study of the influence of green practices on supply chain performance, Susana G. Azevedo
et al. (2011) focused also on the collaboration with the actors belonging to the downstream phase
of the supply chain: customers. In particular, the Authors stated that the implementation of an
effective environmental collaboration with customers allows SC cost reduction and maintains the
reliability of operations (Lee et al., 2007) and thus increases quality and customer satisfaction.
79
Moreover, in this way, environmental awareness of customers is stimulated and they become real
environmental partners (Tsoulfas and Pappis,
2006). Having a green strategic relationship with customers allows the company to increase its
responsiveness towards clients’ environmental concerns and improve some performance such as
the fulfillment rate and the on-time delivery rate. For a successful customers’ environmental
collaboration, it is necessary to verify that the competitive priorities of all the members along the
supply chain are aligned (Vachon and Klassen, 2008).
Another interesting green practice which directly involves the downstream phase of the supply
chain included in the analysis performed by Azevedo et al., is the collaboration with customers to
change product specifications. This is in order to obtain product specifications in line with process
modifications and a subsequent increase of process efficiency while having a positive influence on
product conformance with respect to specifications and durability (Vachon and Klassen, 2008).
Moreover, it contributes to improve customers’ satisfaction, since it reduces the customers’
rejection rates.
The following table (Table 15) includes the most notable practices involving the customers’ side.
80
PRACTICE Reference
Cooperation with customer for cleaner
production
Zhu et al., 2008 a, b; Q. Zhu, J. Sarkis, 2004
Cooperation with customer for eco-design Zhu et al., 2008 a, b; Q. Zhu, J. Sarkis, 2004;
Porter e van der Linde (1995); Hart (1997);
Geffen e Rothenberg, (2000); Bowen et al.
(2001); Gold et al. (2010);
Cooperation with customers for green
packaging
Q. Zhu, J. Sarkis, 2004
Cooperation with customers to change product
specifications
Lippmand, 1999
Development of training programs for clients to
enhance their environmental performance
Routroy, 2009; Porter e van der Linde (1995);
Hart (1997); Geffen e Rothenberg, (2000);
Bowen et al. (2001); Gold et al. (2010); Vachon
e Klassen (2008); Pagell e Wu (2009)
Development of training programs for clients to
enhance their social performance
Routroy, 2009; Porter e van der Linde (1995);
Hart (1997); Geffen e Rothenberg, (2000);
Bowen et al. (2001); Gold et al. (2010); Vachon
e Klassen (2008); Pagell e Wu (2009)
Design for customer success Carter and Carter, 1998; Gupta, 1995; Klassen
and McLaughlin, 1993; Kriwet et al., 1995
Environmental collaboration with customers Routroy, 2009
Use environmentally friendly practices with
customers
Lippmand, 1999
Table 15 - Sustainable collaboration with customers
5.4.5 Supply Chain Network Design practices
The adoption of a sustainable approach, can lead to a change in the structure of the supply chain:
closed-loop supply chains and local chains are example of this. In a traditional supply chain, the
final phase of the process is represented by the customer. A closed-loop supply chain includes all
the subsequent phases of product recovering and re-manufacturing aimed at creating additional
value to the company (Guide et al., 2003). Thus, closed-loop supply chains, include both
traditional activities and additional activities such as: reverse logistics, test and evaluation of the
product’s conditions to identify the cheapest solution between reuse, repair, regeneration,
81
recycle and disposal. The increasing pressure coming from the regulations, is pushing various
companies to deal with the collection and disposal of their end-of-life products; therefore, closed
loop supply chains are an example of integration between business management and
implementation of a sustainable approach (Guide et al., 2003).
The main benefits coming from the implementation of a closed-loop supply chain are the
decreasing of the waste, of the hazardous materials and of the energy consumption.
Consequently, there is also a significant reduction of costs (except the logistic ones that raise
because of the reverse logistics practices implementation) and an increase in the customer’
satisfaction level (Quariguasi Frota Neto et al., 2009).
Reverse logistics has been defined by Carter and Ellram (1998) as the reverse distribution that
includes resource reduction. Kroon and Vrijens (1995) analyzed different reverse logistics systems
for reusable shipping containers in the Netherlands and during their analysis they came out with
three different types of systems that can be used in reverse logistics systems: switch pool, system
with return logistics and system without return logistics. In the first case, each member of the
supply chain is responsible for its own quota of containers, while with return logistics containers
are owned by a central agency in the system. The systems could be transfer systems, where the
sender always uses the same containers, or depot systems, where containers are stored at a
container depot where not in use. The systems which do not include a return logistic option, are
characterized by the containers being rented and then returned back to a central agency when no
longer needed. Even if the initial cost of these containers is usually higher than disposable
containers, reductions in procurement and disposal costs over the life of the container can be
realized (Kopicki et al., 1993).
Another very interesting and potentially profitable practice of supply chain network design, is the
rationalization of the suppliers’ base as a consequence of local sourcing strategy. Many products,
especially in the food industry, are mostly sourced from the same country of sale; this may
already sound as an environmentally friendly practice which is able to reduce transport
requirements and costs. Actually, this is not sufficient to guarantee environmentally efficient
production: many national certification schemes, such as Suisse Gurantie and the UK Red Tractor,
already try to provide guidelines to manufacturing companies, but retailers usually apply their
own labelling to promote “local” or “regional” products according to various definitions.
The choice of local suppliers, allows several benefits among which the reduction of the emissions
and the costs related to the carriage of goods from the supplier to the focal company, the
82
development and the higher level of involvement of the workforce and of the local communities.
According to Beamon (2008), today there is a growing willingness of the companies to build local
production sites in order to reduce the distances and thus the transports. Therefore, the storage
systems and distribution systems are decentralized, allowing a significant reduction of
transportation costs. The Local for Local approach can also go further the simple procurement and
favor the choice of local clients. The reasons behind this strategic choice, are the customers’
requirements and the regulations: the consumption habits of the customers are different
according to the geographic area, thus the same standardized product exported in different zones
of the world could have some trouble in the adaptation. Moreover, the regulations are different
from country to country, in some cases there could be some taxes on the goods transportation
that increase the final product’s cost. Finally, this approach guarantees a reduction in the cost of
transportation generated by the proximity of the final customer and the possibility to provide a
higher service level to the client and thus improve the profits.
Below, a table summarizing the most common SC network design practices is provided (Table 16).
As one can see, this is the most neglected category of practices in Literature. While for the
previous types of practices several papers were available online, this specific topic is only
occasionally addressed.
83
PRACTICE Reference
Regionally sourced products
D. Styles et al., 2012; Narashiman and Nair (2005);
Beamon (2008); Halldorsson et al. (2009); Pagell e Wu
(2009); Azevedo et al. (2011)
Reverse logistics
Wu & Dunn, 1995; Kroon e Vrijens (1995); Thierry et al.
(1995); Stock (1998); Rogers e Tibben- Lembke (2001);
De Brito e Dekker (2003); Azevedo et al. (2011); Dekker
et al. (2012)
Enviromental Collaborations
Porter e van der Linde (1995); Hart (1997); Geffen e
Rothenberg, (2000); Bowen et al. (2001); Gold et al.
(2010); Vachon e Klassen (2008); Pagell e Wu (2009)
Use of IT systems as a support for the
collaboration among players
El-Gayar e Fritz (2006); Chandra et al. (2007); Green et al.
(2007)
Closed-loop supply chain Guide et al. (2003); Flapper et al. (2005); Quariguasi
Frota Neto et al. (2009)
Suppliers' base reduction Lamming and Hampson (1996); Handfield et al.
(1997); Delmas and Montiel (2009)
Local chain
Narashiman e Nair(2005); Beamon (2008); Halldorsson et
al.(2009); Pagell e Wu (2009); Azevedo et al.
(2012)
Table 16 - Supply Chain Network Design Practices
5.4.6 Green Logistics practices
Logistics is a crucial activity for every company, thus a correct integration of sustainability into the
logistics activities can bring a huge contribution to the improvement of corporate sustainable
performance. The typical logistics activities are: the goods consolidation, the type of
transportation, the choice of warehouses and these activities are all strictly related with the
environmental and social aspects of sustainability.
The consolidation of goods, for instance, improve the efficiency of the vehicle that has a direct
impact of the environment. The vehicle saturation allows, not only a significant cost reduction,
but it reduces also the number of trips and thus the CO2 emissions released in the atmosphere.
Another sustainable practice in the logistic field, is the use of alternative vehicles instead of
84
trucks. Railway transport or transport by barges indeed, consume much less energy compared to
other type of transports such as: by air or by road.
One of the aspects that have the higher potential of improvement in terms of environmental
performance, is packaging. The use of recyclable or reusable packaging, allows a reduction in the
energy consumption and has a positive impact on costs and on the environmental sustainability.
Material packaging is often considered a “necessary evil” or an unnecessary cost (Livingstone and
Sparks, 1994; Robertson, 1990). Packaging has different scopes and functions including
containment, protection, preservation, apportionment, unitization, communication and
presentation. Livingstone and Sparks (1994) identified three main packaging types: sales
packaging, secondary packaging and transport packaging. Implementing resource reduction
strategies for packaging contribute to create less waste and thus to reduce environmental costs
(Livingstone and Sparks, 1994). One of the most diffused packaging minimization method involves
replacing corrugated boxes by using shrink wrap (Kopicki et al., 1993). However, companies
should not forget that the final goal of packaging is still to protect products from damage in
transit, the reuse of packaging can be found in reusable, collapsible shipping containers.
Also changes in the processes and warehousing activities can improve the efficiency of operative
performance and can reduce the environmental impact (Wu and Dunn, 1995). In this category are
included the stocks minimization, which are often source of inefficiencies (Thiell et al., 2011; Dey
et al., 2011); moreover, the warehouses are usually responsible for the generation of the major
part of wastes. Finally, the optimization of layout, the research of energy efficiency and a suitable
design of infrastructures allow a further reduction of environmental impact and, at the same
time, a reduction of the operative costs (Stock, 1992; Thiell et al., 2011).
One of the most widespread trend for the warehouse management is the cross-docking (Wu and
Dunn, 1995). With this approach goods are no longer stored in warehouses, but they are directly
transferred from producers or distributors to wholesalers or retailers in their warehouses. Thanks
to a careful planning and to the sharing of sales information, cross-docking is the most effective
way to maximize the transportation efficiency and, at the same time, improve the environmental
performance.
In the following table (Table 17) is available a summary of the practices described in the previous
section.
85
PRACTICE Reference
Bulk packaging
Wu & Dunn, 1995; Rao e Holt (2005); Wu e Dunn
(1995); Rao e Holt (2005); Azevedo et al. (2011);
Thiell et al. (2011); Dekker et al. (2012)
Changing pallet patterns Wu & Dunn, 1995
Changing primary packaging
Wu & Dunn, 1995; Rao e Holt (2005); Wu e Dunn
(1995); Rao e Holt (2005); Azevedo et al. (2011);
Thiell et al. (2011); Dekker et al. (2012)
Changing product's size Wu & Dunn, 1995
Changing secondary packaging
Wu & Dunn, 1995; Rao e Holt (2005); Wu e Dunn
(1995); Rao e Holt (2005); Azevedo et al. (2011);
Thiell et al. (2011); Dekker et al. (2012)
Use of biofuels to feed the vehicles (biomethane,
bioethanol, biodiesel) Rao et al. (1991); Wu e Dunn (1995); Thiell et al.
(2011); Dekker et al. (2012); Zhang et al. (2014)
Use of recyclable pallets Stock (1998); Thiell et al. (2011)
Fleet management Zhang et al., 2014
Good warehouse layout Wu & Dunn, 1995
Low carbon packaging Zhang et al., 2014; Rao e Holt (2005); Azevedo et al.
(2011); Thiell et al. (2011); Dekker et al. (2012)
Optimizing storage space Zhang et al., 2014
Optimizing the transport systems (shorter trasport
distances, replacement of diesel fuel with other
ones)
Iritani et al., 2015; Rao et al. (1991); Wu e Dunn
(1995); Thiell et al. (2011); Dekker et al. (2012);
Zhang et al. (2014)
Optimizing warehouse or Establishing overall
company quality environmental management system
der picking strategies Zhang et al., 2014
Recycling containers and other packaging materials
of logistics Zhang et al., 2014
Reducing number of shipments Wu & Dunn, 1995; Zhu et al. (2008); Holt e
Ghobadian(2009); Paulraj (2009); Rao et al. (2012)
Reducing use of transport packaging Zhang et al., 2014
Use of multi-modal transport hub and logistics center Zhang et al., 2014; Wu e Dunn (1995); Thiell et al.
(2011)
Using improved or innovative handling systems Zhang et al., 2014
Using recyclable packaging materials and logistics
containers
Zhang et al., 2014; Wu e Dunn (1995); Rao e Holt
(2005); Azevedo et al. (2011); Thiell et al. (2011);
Dekker et al. (2012)
Cross docking Wu & Dunn, 1995
86
Table 17 - Green Logistics practices
5.5 Performance The Literature defines the term “performance” as the ability of an entity, such as a person, group
or organization, to make results in relation to specific and determined objectives (Laitinen, 2002;
Lebas and Euske, 2004). In addition, performance is an actual work or output produced by a
specific unit or entity. To put it another way, the performance concept refers to the measurable
achievements produced (Harbour, 1997; Phillips, Davies and Moutinho, 1999). Second, the term
“measurement” indicates the ability and processes used to quantify and control specific activities
and events (Morgan, 2004). As key authors of this area, Neely, Gregory, and Platts (1995) define
the performance measurement concept as a process of quantifying the efficiency and
effectiveness of actions (Neely et al., 1995, p. 80). On the other hand, Neely, Gregory, and Platts,
(2005, p; 1229) refer to the performance measurement system (PMS) as the set of metrics used to
quantify both efficiency and effectiveness. Literature defines measures as metrics used to
quantify and compute an action’s efficiency and effectiveness (Bourne and Neely, 2003).
Several Authors (Sen, 2009; Barratt e Oke, 2007; Handfield et al., 1997), state that the adoption of
a sustainable approach towards sustainability can lead to considerable environmental and social
benefits. Moreover, such a sustainable attitude has also the potential to improve the economic
performance of the company: an environmentally-friendly production indeed, is an effective way
to create value because the sustainability issue is involving an increasing number of stakeholders.
In particular, when sustainability is considered a strategic relevant element in the organization,
environmental and social performance are the most interesting and thus the most monitored
ones. Conversely, if sustainability has a marginal importance for the company, the economic
performance are the most measured.
5.5.1 Environmental Performance
Due to the increasing concerns regarding the environmental issues and the natural resources
depletion, companies are more and more paying attention to their environmental performance.
In Literature, there are few articles dealing with the sustainable performance measurement
theme, but some KPIs for the monitoring of environmental results are available. Some of the most
interesting are: the rate of air emission, waste water generation or production of solid wastes
(Zhu and Sarkis, 2004). There are also environmental performance more related to the economic
sphere of the company such as: the cost of energy consumption or the number of fees paid for
87
environmental accidents. In the following table (Table 18) the most interesting environmental
performance measures collected after the Literature review are summarized.
PERFORMANCE Reference
Air emission
Qinghua Zhu and Joseph Sarkis, 2004; Walley and
Whitehead (1994); Russo e Fouts (1997); King e
Lenox (2001); King e Shaver (2001); Zhu et al.
(2005); Rusinko (2007); Pullman et al. (2009); Eccles
et al. (2012); Wiengarten and Longoni (2015)
Amount of handling required Qinghua Zhu and Joseph Sarkis, 2004
Business wastage Susana G. Azevedo et al., 2011
Compliance and liability costs Porter & van der Linde, 1995b; Qinghua Zhu and
Joseph Sarkis, 2004; Ashford, 1993
Consumption of hazardous/harmful/toxic
materials Qinghua Zhu and Joseph Sarkis, 2004
Cost for energy consumption Qinghua Zhu and Joseph Sarkis, 2004; Hart e Ahuja
(1996); Hervani et al. (2005); Zhu et al. (2005);
Rusinko (2007); Omer (2007)
Cost of water consumption Qinghua Zhu and Joseph Sarkis, 2004; Omer (2007);
Rusinko (2007); Cowan et al. (2010); Eccles et al.
(2012)
Enterprise’s environmental situation Qinghua Zhu and Joseph Sarkis, 2004
Environmental cost Susana G. Azevedo et al., 2011
Fee for waste treatment and discharge
Qinghua Zhu and Joseph Sarkis, 2004; Walley e
Whitehead (1994); Hart e Ahuja (1996); Russo e
Fouts (1997); King e Lenox (2001); King e Shaver
(2001); Zhu et al. (2005); Cowan et al. (2010)
Frequency for environmental accidents Qinghua Zhu and Joseph Sarkis, 2004
Level of pollution Petra Christmann, 2000
Material usage Qinghua Zhu and Joseph Sarkis, 2004
Potential product-take-back costs Shrivastava, 1995a
Solid wastes Qinghua Zhu and Joseph Sarkis, 2004; Hervani et al.
(2005); Zhu et al. (2005); Huang e Matthews (2008)
Waste water Qinghua Zhu and Joseph Sarkis, 2004
Table 18 - Environmental Performance
88
5.5.2 Social Performance
Social performance are more consolidated measures with respect to environmental performance.
This is primarily because companies are often forced by the law to comply with social
certifications which impose the achievement of specific target of social sustainability. Thus,
companies are measuring their social performance since different years and consequently social
KPIs in the business environment are more established with respect to environmental ones. Some
examples of social performance that are frequently reported in Literature are: employees’ rate of
satisfaction and motivation, labor equity, employees’ healthcare, employees’ safety. In the
following table (Table 19), as done for the environmental performance, a summary of the social
KPIs found in Literature is provided.
89
PERFORMANCE Reference
Customer satisfaction
Kainuma e Tawara (2006); Nair e Menon
(2008); Vachon e Klassen (2008); Pochampally
et al. (2009); Azevedo et al. (2011); Mitra e
Datta (2014)
Employee motivation and satisfaction
Qinghua Zhu and Joseph Sarkis, 2004; Hutchins
and Sutherland (2008); Eccles et al. (2012);
Mitra and Datta (2014); Wiengarten and
Longoni (2015); GRI
Financial aids Qinghua Zhu and Joseph Sarkis, 2004
Frequency for environmental accidents
Qinghua Zhu and Joseph Sarkis, 2004; Hutchins
e Sutherland (2008); Eccles et al. (2012); Mitra
e Datta (2014); Wiengarten e Longoni (2015);
GRI
Healthcare
Margot J. Hutchins and John W. Sutherland,
2008; Qinghua Zhu and Joseph Sarkis, 2004;
Hutchins e Sutherland (2008); Eccles et al.
(2012); Mitra e Datta (2014); Wiengarten e
Longoni (2015); GRI
Labor equity Margot J. Hutchins and John W. Sutherland,
2008
Legal fees
Shrivastava, 1995a; Qinghua Zhu and Joseph
Sarkis, 2004
Market share Qinghua Zhu and Joseph Sarkis, 2004
Philanthropy Margot J. Hutchins and John W. Sutherland,
2008
Public relations Qinghua Zhu and Joseph Sarkis, 2004
Safety
Margot J. Hutchins and John W. Sutherland,
2008; Qinghua Zhu and Joseph Sarkis, 2004;
Hutchins e Sutherland (2008); Eccles et al.
(2012); Mitra e Datta (2014); Wiengarten e
Longoni (2015); GRI
Table 19 - Social Performance
5.5.3 Economic Performance
Economic corporate performance are the most measured and monitored ones. Especially those
companies that are not concerned about sustainability issues, are instead putting much efforts on
the improvement of economic performance. The smooth running of economic performance is the
90
symptom for the company’s wellbeing, thus economic KPIs should always be a central worry for
the firm. The following table (Table 20) reports some of the most commonly used economic
measures.
PERFORMANCE Reference
Compliance and liability costs Porter & van der Linde, 1995b; Qinghua Zhu and Joseph
Sarkis, 2004; Ashford, 1993
Cost for material purchasing Qinghua Zhu and Joseph Sarkis, 2004; Shah e Ward
(2003); Zhu et al. (2005); Pochampally et al. (2009); Tsai
e Hung (2009); Azevedo et al. (2011)
Efficiency Susana G. Azevedo et al., 2011
Financial aids Qinghua Zhu and Joseph Sarkis, 2004
Legal fees Shrivastava, 1995a; Qinghua Zhu and Joseph Sarkis,
2004
Manufacturing costs
Shrivastava, 1995a; Shah e Ward (2003); Zhu et al.
(2005); Pochampally et al. (2009); Tsai e Hung (2009);
Azevedo et al. (2011)
Position with regard to competitors Stuart L. Hart, 1995
Potential liability costs Shrivastava, 1995a
Production costs Hart, 1995; Newmann & Breeden, 1992; Shrivastava,
1995a, 1995b; Smart, 1992; Stead & Stead, 1995
Sustainable image/reputation
Min e Galle (2001); Melnyk et al. (2002); Hervani et al.
(2005); Cetindamar (2007); Nair and Menon (2008);
Pochampally et al. (2009); Mitra and Datta (2014)
Table 20 - Economic Performance
5.5.4 Impact of Sustainable Practices on Corporate
Performance
Azevedo et al. (2011) analyzed the relationship between sustainable practices and performance
with the aim to explore and understand the influence that GSCM practices have on SC
performance. The Authors focused their research not only on the green practices that are internal
to the company, but also the ones which transcend the company’s boundaries involving suppliers
and customers. For instance, the sustainable practices that involve suppliers which are considered
by Azevedo et al. are: environmentally friendly purchasing practices, environmental collaboration
with suppliers and working with designers and suppliers to reduce and eliminate product
91
environmental impact. In order to measure the practices deployed by the company itself, the
following green practices have been considered by the Authors: minimizing waste, ISO 14001
certification and decrease consumption of hazardous and toxic materials. Finally, to analyze the
customer involvement in commitment to environmental concerns, the following practices have
been analyzed: environmental collaboration with customers, environmentally friendly packaging,
working with customers to change product specifications and reverse logistics. The theoretical
framework proposed by Azevedo et al., also proposes a number of measures to evaluate the
influence of the practices on supply chain performance from operational, economic and
environmental perspectives. Accordingly, in operational terms the performance measures
proposed are: quality and customer satisfaction. From an economic perspective, the measures
recommended are: cost, environmental cost and efficiency. Finally, from an economic
perspective, the measure used is business waste. The following chart (Fig. 38) is proposed by the
Authors to visualize the intent of the research.
Figure 38 - Theoretical framework for the influence of green practices on supply chain performance
(Azevedo et al., 2011)
92
The data gathered by the interviews conducted by the Authors, allowed to rank the performance
measures according to the respondents’ perception of their importance as reflection of the
influence of green practices on SC performance. The results showed that environmental cost is
the performance measure that best reflects the impact of GSCM practices on performance.
Quality, customer satisfaction and efficiency follow environmental cost in the rank of the most
relevant performance measured in the study. The resulting measures, match the different
organizations’ priorities such as: supply a high-quality product, maintain a high level of customer
satisfaction and be efficient in order to avoid the use of unnecessary resources in production.
After these first preliminary observations, Azevedo et al. (2011) concluded that companies
attributed different weights to different performance linked to green corporate practices and
thus, they consider that some performance measures better reflect the influence of GSCM
practices on SC performance.
The second main objective of the study conducted by Azevedo et al., was to identify the influence
of green practices on supply chain performance. Thus, the perceptions of each organization were
collected to investigate this relationship. In particular, the Authors computed a score for each
relationship through a specific formula and then reported in the study only those relationships
with a significant value. In the following table the most significant results of the case studies are
reported (Table 21).
Table 21 - Linkage between green practice and supply chain performance, Azevedo et al. (2011)
As shown in the table, environmental cost, quality and efficiency are the performance measures
with the most significant relationships with green practices. For example, if we consider
environmentally friendly packaging practice, it has a series of benefits which impact also on
corporate performance. Adopting sustainable packaging measures, indeed, allow the firm to
reduce the utilization of reusable packages or racks which are more resistant to impact, reducing
93
product damage during transport, moreover reusable packaging reduces product defects and
maintains product quality during transport.
However, the positive direct link between the green practice and the firm’s performance is not
always immediate. For example, not all the respondents to the investigation conducted by
Azevedo et al. (2011) agreed on the effect of ISO 14001 certification on SC performance, at the
same way the relationships between environmental collaboration with suppliers and
environmentally friendly purchasing practices with respect to SC performance is not
unambiguous. The Authors tried to interpret the discordances between the answers considering
the fact that some companies, which comply to the international standard for environmental
management (i.e. ISO 14001), may adopt such standards in response to external pressures coming
from customers and competitors rather than using it as a critical management tool (Arora and
Cason, 1996; Khanna and Damon, 1999; Konar and Cohen, 1997; Hoffman, 2000; Bowen, 2000).
Poksinska et al. (2003) added that companies showing care for the environment and establishing
a strong environmental image, may attract environmentally conscious customers and suppliers.
94
6 Research
framework and
methodology
95
6.1 Considerations on the Literature and gaps
identification The Literature review has been an important and challenging part of this study. The key point of
this activity was to contextualize the sustainability issue with a special focus on the furniture
sector. One of the milestones that came up from the Literature, is the growing interest towards
the sustainability issue. Both Scholars and Practitioners are dedicating much efforts on the
development and improvement of instruments for the integration of sustainability in the daily
business activities. Customers are becoming more and more aware of their purchasing behavior
and their buying decisions are increasingly led by the general environmental and social concerns.
Therefore, companies are somehow forced to review their products’ range in order to provide to
customers what they demand. Despite the attention towards the sustainable theme is
undoubtedly raising, companies that managed to develop a fully sustainable corporate strategy
are still rare. The difficulty that firms face when they try to integrate sustainability into their
business strategy, is the lack of a structured framework that clearly guide them in the decision-
making process. For instance, in Literature it is possible to find many references to different
strategic tools. Nevertheless, there is not a systematic tool able to provide the general guidelines
for the implementation of a sustainable corporate strategy.
The same limitation remained when the focus of the Literature review moved on the
development of sustainable supply chains. The integration of sustainability in all the phases of
the value chain is even more challenging than the implementation of sustainable practices in a
single company. The creation of a sustainable supply chain, indeed, requires that all the actors are
equally involved in the project. Designers must carefully choose the materials for the product’s
construction and they must consider their impact on the entire product’s lifecycle. In order to do
so, they need to have adequate instruments such as the Life Cycle Assessment (LCA).
Manufacturers should minimize the impact of the production process on the surrounding
environment, moreover they should share the sustainability principles with all the members of
the supply chain. Retailers and wholesalers must be able to recognize and prioritize the products
with the best environmental performance. Finally, customers should develop a sense of
responsiveness towards environmental problems that should guide their purchasing decision. The
Literature, references of supply chains that successfully became sustainable are very rare. This is
attributable to the scarcity of models and frameworks available in Literature for a correct
development of sustainable supply chain management.
96
Thus, from the Literature review a first relevant gap emerges:
Gap 1. There are not defined and unambiguous guidelines for the correct integration of
sustainability into the corporate strategy as a competitive factor. Moreover, there is a lack of
frameworks showing how this integration impacts on sustainable supply chain practices.
Anyway, the aim of this study is not only to highlight the mechanisms of implementation of
sustainable practices in businesses, but also to understand what is their impact on the corporate
performance. Thus, a Literature review on the relationship between the implementation of green
and social practices and their effect on the TBL performance has been performed.
Some Authors, such as Caniato et al. (2012), analyzed the relationships among drivers, practices
and performance using a regression analysis (Fig. 39)
Figure 39 - Research Framework (Caniato et al., 2012)
The analysis showed that in some cases there is a correlation between the GSCM pressures or
drivers and practices, while they noticed that there is no significant correlation between drivers
and internal environmental management practices. The same type of analysis has been
performed to identify the impact of practices on performance. The Authors noticed different
effects: for example, green purchasing and customer cooperation have significant impact only on
environmental performance, but not on the other performance aspects, investment recovery has
a negative impact on economic performance while eco-design showed no impact for all the
performance aspects.
Azevedo et al. (2011) analyzed the relationship between sustainable practices and performance
with the aim to explore and understand the influence that GSCM practices have on SC
performance. The study results showed that environmental cost, quality and efficiency are the
performance measures with the most significant relationships with green practices. However, the
97
positive direct link between the green practice and the firm’s performance is not always
immediate. For example, not all the respondents to the investigation conducted by Azevedo et al.
(2011) agreed on the effect of ISO 14001 certification on SC performance, at the same way the
relationships between environmental collaboration with suppliers and environmentally friendly
purchasing practices with respect to SC performance is not unambiguous.
There are many other studies analyzing the link between the implementation of sustainable
practices and the change TBL performance and as many different theories on the kind of
relationship between them. There are evidences that environmental purchasing positively
influences the economic position of a company, thanks to the reduction of disposal and liability
costs. Environmental purchasing practices improve also organization’s public image and
contribute to conserve non-renewable resources(Min and Galle, 1997; Stock, 1992). Various
studies have found contradictory relationships between a firm's social responsibility and financial
performance. One view is that social responsibility involves additional cost to the company and
hence negatively affects the firm's financial performance. Others have found no relationship
between corporate social responsibility and firm performance (Alexander and Buchholz,1978).
Another contrasting view is that social performance is positively correlated to a firm's economic
performance. Moskowitz (1972), Parket and Eilbirt (1975), and Sturdivant and Ginter (1977) found
that social responsiveness is positively related to a firm's stock market performance. Socially
responsible activities can help improve a firm's relationships with such important stakeholders as
banks, investors, and government agencies (McGuire et al., 1988). These improved relationships
can in turn result in economic benefits including increased investment levels into the firm
(McGuire et al., 1988; Moussavi and Evans, 1986; Spicer, 1978a).
Barbara and McConnell (1990) studied the effect of abatement capital (capital employed to offset
the negative environmental effects of the firm) on industry productivity. They found that
abatement capital was responsible for a decline in productivity. Gallop and Roberts (1983) studied
the effects of environmental regulations on the cost of operations of the electric utilities industry.
They found a similar effect of environmental regulation on industry productivity.
There is also a body of research that suggests a positive relationship between environmental
friendliness and firm performance. In particular, Klassen and McLaughlin's (1996) proposed model
and empirical findings suggesting a positive effect of environmental performance on firm
performance. They suggest that environmental performance can affect financial performance of a
firm through both market (revenue) and cost pathways. If customers prefer products of
98
environmentally friendly firms, then revenues are positively impacted (Winsemius and Guntram,
1992), resulting in increased market share vis-a-vis less environmentally oriented competitors.
In view of the above, the second Literature gap has been identified and formalized as follows:
Gap 2. The impact that the implementation of sustainable practices in businesses has on TBL
performance (environmental, social and economic) is not shaped by a defined model. Moreover,
there is not an unambiguous version of the nature of this relationship.
However, the scope of this study is not limited to the analysis of the relationship between
practices implementation and performance improvement. It goes further as it seeks to identify if
there is a sustainable strategic fit between the declared sustainable strategy and the
implemented sustainable practices and what is the impact of this strategic fit on the TBL
performance of the firm. This is the most innovative element of the study, as in Literature still
doesn’t exist the concept of “sustainable strategic fit”. Chopra and Meindl (2012) defined a similar
concept to indicate the consistency between customer priorities of competitive strategy and
supply chain capabilities specified by the supply chain strategy and they called it strategic fit. The
Authors specified that strategic fit happens when competitive and supply chain strategies have
the same goals, thus a company may fail because of a lack of strategic fit or because its processes
and resources do not provide the capabilities to execute the desired strategy. Chopra and Meindl
(2012) provided a procedure for the achievement of strategic fit: first, a company should
understand the customer and supply chain uncertainty, then it should focus on its supply chain,
finally the firm should ensure that what the supply chain does well is consistent with target
customer’s needs.
The Authors bring the example of strategic fit between demand uncertainty and supply chain
strategy (responsive or efficient). To achieve strategic fit, the greater the implied uncertainty, the
more responsive the supply chain should be. Increasing implied uncertainty from customers and
supply sources is best served by increasing responsiveness from the supply chain. This
relationship is represented by the "zone of strategic fit" illustrated in Fig. 40. For a high level of
performance, companies should move their competitive strategy (and resulting implied
uncertainty) and supply chain strategy (and resulting responsiveness) toward the zone of strategic
fit.
99
Figure 40 - Finding zone of strategic fit (Chopra and Meindl, 2012)
Unfortunately, this is one of the rare contributes to the theory of strategic fit available in
Literature, it is very hard to find scientific papers dealing with this topic while it is impossible to
find references to the sustainable strategic fit concept, because it is a brand-new idea. In this
work, the expression “sustainable strategic fit” will be referred to as the match between the
strategic role of sustainability stated by the company and the effective implemented sustainable
practices.
Thus, starting from the previous considerations it is possible to formalize the third Literature gap
with the following sentence:
Gap 3. In Literature, there are few studies dealing with the topic of the strategic fit between
customer priorities of competitive strategy and supply chain capabilities. Moreover, there are no
references to the sustainable counterparty of the strategic fit concept which in this study will be
defined as “sustainable strategic fit”.
The Literature gaps discussed in the previous pages can be summarized in the following table
(Table 22):
100
Literature gaps
There are not defined and unambiguous guidelines for the correct integration of sustainability
into the corporate strategy as a competitive factor. Moreover, there is a lack of frameworks
showing how this integration impacts on sustainable supply chain practices.
The impact that the implementation of sustainable practices in businesses has on TBL
performance (environmental, social and economic) is not shaped by a defined model. Moreover,
there is not an unambiguous version of the nature of this relationship.
In Literature, there are few studies dealing with the topic of the strategic fit between customer
priorities of competitive strategy and supply chain capabilities. Moreover, there are no
references to the sustainable counterparty of the strategic fit concept which in this study will be
defined as “sustainable strategic fit”
Table 22 - Literature gaps
6.2 Research Questions Based on the previous considerations and on the Literature gaps, the following research questions
have been formulated:
RQ1: How companies can be classified according to their commitment in implementing
sustainable practices?
RQ2: Being the strategic role of sustainability equal, what are the different sustainable practices
implemented by manufacturers and suppliers
RQ3: How the external and internal drivers impact on the company’s commitment to implement
sustainable practices?
RQ4: How the sustainable strategic fit between the stated strategic role of sustainability and the
actual implemented sustainable practices impacts on the environmental, social and economic
performance of a company?
6.3 Research Framework The first goal of this work is to investigate what is the strategic role that furniture companies
attribute to sustainability and how this role varies according to the position of the company along
the supply chain. A second important objective is to understand what is the impact of internal and
external drivers on the implementation of sustainable supply chain practices in the furniture
industry. Then the study seeks to find whether there is a match between what companies claim
about sustainability and what they concretely do to realize it. This concept can be better defined
101
as the sustainable strategic fit between the role of sustainability stated by companies and the
sustainable practices that they actually implement. Moreover, this study aims at identifying what
is the nature of the impact that this strategic fit has on the corporate TBL performance
(environmental, social and economic).
The basis for the research framework have been inherited by a previous thesis work where the
goal was to identify which were the most implemented sustainable practices according to the
different strategic role of sustainability stated by firms (order winner, market qualifier or
desirable attribute) and the position of the company along the supply chain. The framework (Fig.
41) starts from the classification of sustainability as order winner (OW) or market qualifier (MQ).
These are the key variables describing the supply chain strategies in the global Literature (Mason-
jones, 2000). Whenever sustainability is considered as a non-strategic factor, the model assigns
the label desirable attribute (DA) to sustainability, which represents the lower level of the
framework’s pyramid. Sustainability is accounted as a desirable attribute if it is not a strategic
factor and it is limited to mere compliance with regulations and norms, or when it is considered a
non-value added element from the customer: the presence or the absence of this factor does not
influence customers’ purchasing decision. To clearly determine the characteristic of a sustainable
supply chain strategy, it is fundamental to analyze also which practices are implemented by the
companies that consider sustainability as an OW or a MQ. Finally, the previous framework
evaluated also the impact that the adoption of a sustainable approach can have on corporate
performance in environmental, social and economic terms.
102
Figure 41 - Structured questionnaires research framework (Verderio, 2015)
The new framework (Fig. 42) maintains some key concept of the previous model such as the
classification of sustainability according to the Hill’s order winner and market qualifier definitions
with the addition of the “desirable attribute” concept. Moreover, also in the new framework is
reported the relationship between the strategic role of sustainability and the subsequent
implementation of sustainable practices with the addition of the analysis of the impact that
drivers may have on the practices’ development. As already stated before, the goal of this study is
not only to identify and analyze the practices implemented by companies with different levels of
sustainable integration, but also to detect whether there is a match between the strategic role of
sustainability stated by the company and the effective implementation of a sustainable strategy.
Therefore, the correlation between the first two elements of the framework is one of the pillars of
this new work. A second important pillar of the study, is the impact of the company’s position
along the supply chain on the implementation of green and social practices. Thus, the variable
“role of the company along the supply chain” has been introduced to study the behavior of
manufacturers and suppliers with respect to the implementation of sustainable initiatives. Finally,
while in the previous work the focus was on the practices’ implementation’s impact on corporate
performance, in this analysis the purpose is to identify the impact on performance of the
sustainable strategic fit previously detected. To answer RQ4 and consequently to identify what is
103
the relationship between the sustainable supply chain strategic fit and the change in corporate
performance it was necessary to make an initial hypothesis.
While strategic fit defined by Chopra and Meindl (2012) indicated the consistency between
customer priorities of competitive strategy and supply chain capabilities specified by the supply
chain strategy, in this thesis the concept of sustainable strategic fit indicates the match between
the declared competitive role of sustainability and the actual commitment of companies in
implementing sustainable supply chain practices. This first consideration is also the most
important pillar of this work, as well as the starting point to answer RQ4. After having defined this
concept, it was wondered whether companies could be better defined according to their
sustainable strategic fit. Deepening the work of previous Authors who faced the problem of
companies’ classification on the basis of a given variable (Macchion et al., 2015; Wu and Pagell,
2011), it was assumed that survey’s subjects could be further categorized according to the match
of the declared competitive role of sustainability. Combining this assumption with the clusters’
classification obtained by dividing companies according to their commitment in implementing
sustainable practices (answer to RQ1), it was assumed to classify companies according to their
sustainable strategic fit or misfit and their commitment in implementing green and social
initiatives.
Considering previous research works and in particular, the thesis work that preceded the current
one, there are evidences that the implementation of certain sustainable practices has a direct
positive impact on triple bottom line performance. For instance, the preceding thesis concluded
that production management practices such as: use of a waste management system, the use of
recycled raw materials, the use of energy from renewable sources and the realization of
recyclable/reusable packaging, improve internal supply chain costs performance. Purchasing
practices such as: collaborations with suppliers to improve their sustainable performance have a
positive impact on the firm’s green image and reputation. Finally, the adoption of environmental
and social certification, organization of training courses for a correct use and disposal of products
for customers and employees and the sponsorship of green and social initiatives of no-profit
organizations, significantly improve stakeholders’ satisfaction level and corporate green image.
Moreover, in the recent Literature there are plenty of papers offering insight on potential
patterns of supply chain relations for improving environmental performance (Florida, 1996a;
Florida and Davison, 2001; Geffen and Rothenberg, 2000; Green et al., 1996; Handfield et al.,
2002; Sarkis, 1995). Finally, in the lights of the conclusions obtained in the preceding thesis work
and in line with a number of research papers that dealt with the relationships between
104
implementation of sustainable practices and the evident improvement of corporate performance
(Zhu and Sarkis, 2004; Zhu et al., 2007, Samal, 2008; Zhu et al., 2008), considering also the results
of some scientific studies showing that companies implemented different practices according to
the different competitive role of sustainability in their corporate strategy (Wu and Pagell, 2011;
Cabot et al., 2009), it is reasonable to postulate that: when the sustainable strategic fit between
stated role of sustainability and effective implemented practices is in its optimal condition, then
the company experiences the highest level of triple bottom line performance. This assumption led
to the formulation of the following research hypothesis:
Hp1: Companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies.
Figure 42 - Research Framework
According to the classification proposed by Hill (2000), an order winner is a characteristic of the
product or the service that will win the bid or customer's purchase. In general, the factors that
can be considered as order winners are the competitive advantages such as quality, delivery
speed, reliability, product design, flexibility, and image that cause a firm's customers to select that
company's products or services. Thus, in case sustainability is considered an order winner, it
means it is the key characteristic of the product that determine the customer’s purchasing
decision. A market qualifier is a characteristic of a product or service that is required in order for
the product/service to even be considered by a customer (Hill, 2000). So, in other words it is the
105
competitive advantages that a company must demonstrate in order to be a viable competitor in
the business arena. Sustainability is labeled as MQ when it represents a necessary standard to
operate in the market and companies must necessarily respect it if they want to be competitive.
Finally, sustainability is considered a non-strategic factor (DA) when the firm doesn’t put much
effort on it and limits itself to comply with environmental and social laws. In this case, the
absence of the sustainability factor does not preclude the customer’s purchase.
Starting from the previous considerations, the concepts of order winner, market qualifier and
desirable attribute have been further detailed and separated in order to offer to companies a
wider range of sustainability’s shades to choose. In the following table (Table 23) all the available
options are summarized.
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
Not so important compared to other competitive factors (e.g: quality, price…)
Not strategic but still desirable characteristic ("nice to have")
A necessary condition to operate in Our sector
A required characteristic of a product in order for the product to be even considered by a customer
Very important for Us to win orders
A characteristic that will win the bid or customer's purchase
Table 23 - Sustainability's interpretations
The most suitable way to collect reliable information regarding the companies’ sustainable
behavior, the implemented practices and the change in corporate performance is the survey.
Thus, after an exhaustive Literature review on the topic, a questionnaire encompassing all the
arguments cited till now has been built. The construction of the survey has been performed
considering the Literature gaps previously highlighted, thus the final goal of the investigation was
to answer to the questions that have emerged from the Literature review.
6.4 Research Methodology
6.4.1 Selection of the Furniture Industry as field of analysis
The reasons that led to the selection of the Furniture industry as field for this analysis are mainly
three. First, in the wooden Furniture industry, together with the Fashion industry and the food
sector, is one of the pillars of the Made in Italy production. The total volume of production of the
Furniture sector accounts for 6% of total Italian manufacturing industry. The most significant
market appears to be offices and stores furniture manufacturing with a 29% share of the total
106
market group, followed by the other furniture manufacturing, with a share of 24.8% and chair and
seats production with a 21.8% share. The kitchen furniture manufacturing share seems to be the
lowest one (20.6%) (IPI, 2005). In the light of these considerations, the Furniture sector has been
selected as representing one of the most interesting Italian sectors currently. Moreover, the main
raw material for furnishing production is wood. Being wood a natural, non-renewable resource, it
is quite reasonably to suppose that Furniture industry is one of the sectors concerned with the
environmental issue and in general with the sustainability theme. Thus, the Furniture industry
was selected also to test the responsiveness of the sector to the current changes. Finally, more
operatively speaking, the Salone del Mobile held in Milan every year during Spring represents a
big opportunity to meet field professionals and simultaneously collect information on the
evolution of the sustainability theme in the sector. Moreover, thanks to this occasion it is possible
to collect e-mail addresses, contacts and other relevant data for the construction of a database
useful for future researches.
6.4.2 Research Methodology: the use of the survey
If we compare contemporary research in Operations Management (OM) with that conducted in
the early 1980s, we notice an increase in the use of empirical data (derived from field observation
and taken from industry) to supplement mathematics, modelling and simulation to develop and
test theories (Forza, 2012). Survey research, like the other types of field study, can contribute to
the advance of scientific knowledge in different ways (Babbie, 1990; Kerlinger 1986). Accordingly,
researches often distinguish between three types of surveys:
- Exploratory survey research: usually employed during the early stages of research into a
phenomenon. Typically, exploratory studies can help to determine the concepts to be
measured in relation to the phenomenon of interest, how best to measure them and how
to discover new facets of the phenomenon under studies (Forza, 2012).
- Confirmatory (or theory testing or explanatory) survey research: it is used when there is
already some knowledge about the phenomenon and the theoretical form, models and
propositions have been already identified (Forza, 2012).
- Descriptive survey research: this is not a research survey designed for theory
development, but it can provide useful hints both for theory building and for theory
refinement (Dubin, 1978; Malhotra and Grover, 1998; Wacker, 1998).
107
For the aim of this thesis, an exploratory survey research resulted the most indicated way of
surveying the market. Theory testing survey research is a long process which presupposes the pre-
existence of a theoretical model (or a conceptual framework). It includes a number of related sub-
processes: the process of translating the theoretical domain into the empirical domain; the design
and pilot testing processes; the process of collecting data for theory testing; the data analysis
process and the process of interpreting the results and writing the report (Forza, 2012). This
theory testing survey research process is illustrated in Fig. 43.
Figure 43 - Theory-testing survey research process (Forza, 2012)
Surveyors today have multiple ways to contact people, but their efforts are often thwarted by
buffers designed to keep unsolicited messages at bay. Receptionists or guards prevent access to
buildings. Answering machines, voice mail, and caller ID technology filter telephone calls. E-mail
108
filters and the ability to preview e-mails without opening them make e-mail survey requests less
likely to be seen and answered. Thus, the technology that makes unprecedented and speedy
access possible also provides the means of avoiding or ignoring it. In addition, cultural norms have
evolved so that control over whether a survey request is received and responded to rests
increasingly with the individual to whom the request is being made, and not with the individual
making it (Forza, 2012).
Among the different survey’s modes available (telephone questionnaires, web questionnaires,
mail questionnaires and mixed-model questionnaires), the mail questionnaire showed to be the
most appropriate tool for this study. In our modern society, indeed, private communications via
postal mail have been almost entirely replaced by electronic communications in the form of e-
mails, text messages or updates and messages sent through social networking sites (Dillman et al.,
2014). Thus, many surveyors abandoned mail as a survey mode.
6.4.3 Development of the Survey based on the Research
Framework
It was crucial, for the aim of this study, to collect real and quantifiable data from the field. After
an accurate research of the most effective research methods, it was agreed that the survey was
the most suitable one. The following scheme clarifies the steps that have been followed during
the work. The development of the research survey is the initial phase (Figure 44)
109
Figure 44 - Steps of the analysis - Survey's development and sending
The first step to build an objective, complete and structured survey, is a deep Literature review on
the topics of interest; in this case, they were: the drivers for the development of sustainable
strategies, the implementation of sustainable practices and their impact on the TBL performance
(environmental, social and economic). This activity allowed to have a clear view of the overall
Research situation and to ensure solid basis for the construction of the survey.
The survey was built during the month of March 2016 and, for a matter of comprehension, it was
realized both in Italian and in English. The first occasion to test the survey was the Salone del
Mobile 2016 held in Milan from April the 12th to April the 17th. During the event, the survey was
submitted to the participants and some questions regarding the wood supply chain and the role
of sustainability in the furniture industry were asked. During the Salone del Mobile, many e-mail
addresses and contact information were collected. Right after the conclusion of the first-test
phase, indeed, a database containing all the relevant information of the companies interviewed
during the Salone del Mobile and those found by surfing the web was created. With the support
of Survey Monkey the questionnaire has been uploaded and subsequently sent to a large number
of recipients. Overall, 1580 mail questionnaires were sent, considering first sending, reminders
and second sending. The companies, were firstly contacted through an e-mail explaining the
110
project and containing the link to Survey Monkey for the fulfillment of the questionnaire. Then, a
reminder was sent to those companies that didn’t ultimate the questionnaire the first time.
Companies that didn’t reply to the first call, but resulted particularly involved with the
sustainability issue were approached a second time either by telephone or by e-mail. The phase of
questionnaires sending lasted more or less 4 months: from May to September 2016 (excluding
August 2016) and the response modes were either by filling the survey sent by e-mail or by
arranging a telephone call. The total answers received were 76 of which 18 were incomplete, thus
the answers considered valid for the study were 58.
The survey was composed by twenty-two questions and was divided in the following sections:
PART 1: The supply chain structure: which are the firm’s customers and suppliers
PART 2: The importance of environmental and social sustainability as competitive factors
PART 3: Drivers and factors that pushed the company towards the adoption of
sustainable practices
PART 4: Sustainability and Supply Chain practices (about design, purchasing, production,
distribution and new product development)
PART 5: Performance
PART 6: Product and process features
The whole survey was structured using a Likert Scale, in each section the respondent was required
to assign a value ranging from a minimum to a maximum number. The range of values varied
according to the question posed:
- In Part 2, the strategic role of sustainability (social and environmental) was evaluated on a
six-points scale, where each value correspond to a different perception of sustainability:
1. Not so important compared to other competitive factors (e.g: quality, price..)
2. Not strategic but still desirable characteristic ("nice to have")
3. A necessary condition to operate in Our sector
4. A required characteristic of a product in order for the product to be even
considered by a customer
111
5. Very important for Us to win orders
6. A characteristic that will win the bid or customer's purchase
- In Part 3, it was asked how much the drivers influenced the company’s decision to
implement sustainable practices. They were evaluated on a five points scale, where 1
means “not at all” and 5 means “a lot”.
- In part 4, it was asked at what level of implementation were the practices proposed in the
survey. They were evaluated on a five points scale, where 1 means “Not implemented at
all” and five stands for “Fully implemented”.
- Finally, in part 5, it was asked how much the listed performance improved in the last year
compared to the market average. In this case a range of five options were proposed
where:
1. The performance has improved much less than the market average
2. The performance has improved less than the market average
3. The performance is in line with the market average
4. The performance has improved more than the market average
5. The performance has improved much more than the market average
The first part dealt mainly with the supply chain’s characteristics, the purpose of this section was
to delineate the company’s profile on the basis of its size (revenues and employees) and its
position along the supply chain. This latter information was particularly interesting for the analysis
because company’s role in the SC was one of the key factors analyzed in the study. Thus, to better
classify the interviewed firms, in the survey it was asked to specify the core business of the
company (components production or production/assembly of final furnishings). Moreover, in the
survey it was expressly required to select a product family and to respond the entire
questionnaire referring to that family.
The sample was quite heterogeneous: the average revenues of respondents were 32.638.863 €,
the highest value specified was 411.587.464 € while the lowest one was 400.000 €. The biggest
company in terms of employees had 1600 employees, the smallest one had 3. Companies
participating to the survey were codified with two types of identifiers: PR for finished furniture
112
manufacturers and FOR for components’ suppliers. In total the research’s sample was composed
by fifty-eight companies, forty-six manufacturers (PR) and twelve suppliers (FOR). Companies’
identities will not be revealed in the study, because it was guaranteed to firms, that the
questionnaire was anonymous and the analysis of results would have been done ensuring full
respect of privacy. The following table show the detail of the size dimensions (revenues and
number of employees) of firms. The survey’s question asking to specify the revenues and the
number of employees was not mandatory, so some respondents decided to skip this part. In these
cases, the size dimensions of the firm have been estimated after an internet research and are
indicated in blue in the following chart.
Company ID Revenues N. of Employees
FOR12 16.000.000 € 50
PR46 19.434.217 € 50
PR1 16.185.550 € 52
PR2 17.000.000 € 146
FOR1 2.000.000 € 10
FOR2 22.988.121 € 50
PR3 5.297.000 € 43
PR4 1.200.000 € 3
PR5 2.000.000 € 20
PR6 500.000 € ÷ 1.500.000 € 6 ÷ 9
FOR3 6.000.000 € ÷ 30.000.000 € 56
PR7 3.000.000 € 24
PR8 320.000.000 € 700
FOR4 11.500.000 € 28
PR9 4.000.000 € 20
113
FOR5 6.000.000 € 24
FOR6 8.300.000 € 49
PR10 25.000.000 € 80
PR11 1.900.000 € 20
PR12 2.500.000 € ÷ 5.000.000 € 10 ÷ 19
PR13 25.000.000 € 70
FOR7 1.000.000 € 10
PR14 10.000.000 € ÷ 25.000.000 € 100 ÷ 249
FOR8 2.000.000 € 18
FOR9 500.000 € ÷ 1.500.000 € 2 ÷ 5
PR15 600.000 € 9
PR16 1.500.00 € ÷ 2.500.000 € 12
FOR10 500.000 € ÷ 1.500.000 € 5
PR17 20.000.000 € circa 50
PR19 33.000.000 € 170
PR18 411.587.464 € 1600
PR20 67.000.000 € 198
FOR11 2.200.000 € 14
PR21 150.000.000 € 750
PR22 3.800.000 € 14
PR23 19.357.839 € 102
PR24 5.600.000 € 35
114
PR26 3.000.000 € 5
PR27 2.500.000 € 30
PR28 80.000.000 € 140
PR29 12.000.000 € 14
PR30 2.000.000 € 10
PR31 500.000 € ÷ 1.500.000 € 2 ÷ 5
PR32 7.000.000 € 47
PR33 8.000.000 € 25
PR34 2.200.000 € 18
PR35 500.000 € 4
PR36 13.472.094 € 87
PR37 500.000 € ÷ 1.500.000 € 30
PR38 60.000.000 € 315
PR39 75.000.000 € 56000
PR25 6.000.000 € 15
PR40 17.250.000 € 104
PR41 14.000.000 € 44
PR42 3.500.000 15
PR43 23.612.109 € 156
PR44 500.000 € ÷ 1.500.000 € 2 ÷ 5
PR45 400.000 € 7
Table 24 - Companies' features
115
All the respondents were Italian companies, among these 12 were components producers while
the remaining were assemblers or manufacturers (Fig. 45).
Figure 45 - Role of companies along the SC
The components suppliers selected different families of products: 5 of them selected the option
wooden semi-finished items, 4 of them selected wooden panels and 3 of the suppliers chose
tables as product family of reference. For what concerned the manufacturers, 16 selected chairs,
11 selected sofas and armchairs, 6 selected wardrobes, 6 selected tables, 5 selected kitchen
furniture, 1 selected beds and 1 selected garden furniture (Fig. 46).
116
Figure 46 - Product family selected
In the survey was asked to specified who are the direct customers of the interviewed company,
for this question non-mutually exclusive answers were provided, thus one single respondent was
allowed to select more than one option. 25 firms indicated retailers as main distribution channel,
25 chose multi-brand sores as option, 24 of the overall respondents answered that furniture
manufacturers were their clients, 20 indicated other manufacturers (including architecture and
design studios, construction company as their direct customers, 6 chose wholesalers, only 5 used
their single brand stores to distribute their products and just 1 indicated franchise stores as
option. The following chart is helpful to visualize the overlapping categories (Fig. 47).
117
Figure 47 - Direct customers
Finally, the last question included in this first part of the questionnaire regarded the execution of
the design activity: 26 of the respondents answered that the design activity is performed inside
the company, while the remaining 32 stated that they outsource this activity (Fig. 48).
Figure 48 - Is the product design activity performed directly by the company?
While the first part of the questionnaire was very helpful to contextualize the companies inside
the furniture or the wood industry, the following parts regard the sustainable behavior of each
firm, thus the remaining survey’s questions are intended to collect quantitative data that have
been further analyzed to obtain robust results. In particular, the second part of the questionnaire
118
introduced the theme of sustainability as a competitive factor. In the survey was scheduled a
question asking to rate the social and environmental sustainability as competitive factors. As
already mentioned above, the respondents could choose among a set of options: if they believed
that sustainability was a non-strategic factor, in other words a nice to have or a desirable attribute
(DA), they could select the options 1 or 2 respectively: “Not so important compared to other
competitive factors (e.g: quality, price..)” and “Not strategic but still desirable characteristic (nice
to have)”. Conversely, if social and environmental sustainability have a fair value in the corporate
strategy and it can be considered a market qualifier for the firm, then companies should indicate
it either as “A necessary condition to operate in Our sector” or as “A required characteristic of a
product in order for the product to be even considered by a customer”, options 3 and 4
respectively. Finally, if sustainability is perceived by the firm as a strategic competitive factor, in
other words if it is an order winner for the company, then the respondents should select the
options 5 or 6 corresponding to: “Very important for Us to win orders” and “A characteristic that
will win the bid or customer's purchase”.
The following table (Table 25) shows how the question has been formulated in the survey.
How do you judge the following competitive factors?
1 2 3 4 5 6
Not so important compared to other competitive factors (e.g: quality, price..)
Not strategic but still desirable characteristic ("nice to have")
A necessary condition to operate in Our sector
A required characteristic of a product in order for the product to be even considered by a customer
Very important for Us to win orders
A characteristic that will win the bid or customer's purchase
Environmental
sustainability
Social sustainability
Table 25 – Competitive role of Social and Environmental Sustainability
6.4.3.1 Drivers
The third part of the questionnaire was intended to identify which were the drivers, both internal
or external to the company, that mostly encouraged firms to implement sustainable practices. To
build this section of the survey, a review on the Literature has been conducted. In particular, the
attention was put on the papers dealing with the drivers that catalyze the development of a
sustainable strategy. A wide summary of the drivers found in Literature has been already
119
presented in the first part of this work, for the purpose of the questionnaire a selection on the
initially individuated factors was performed. Finally, the drivers included in the survey were nine:
only the most significant ones that are further exposed in Table 26. Concretely, in the survey was
asked how much each of the factors influence the company’s decision to undertake some
sustainability practices assigning a value from 1 (not at all) to 5 (a lot).
DRIVERS Reference
Central and regional governmental environmental
regulations
Zhu et al., 2007, Zhang at al.,
2014
Avoiding potential costs and liabilities for disposal of
hazardous materials
Zhu et al., 2007, Zhang at al.,
2014
Establishing company's green image Zhu et al., 2007, Zhang at al.,
2014
Reacting to competitors' green initiatives Zhu et al., 2007; Walker et al.,
2007, Polonsky et al., 2001
Pressures coming from customers' environmental awareness
Zhu et al., 2008 and Christmann
and Taylor, 2001, Zhu et al.,
2007, Polonsky et al., 2001,
Zhang at al., 2014
Pressures coming from local communities Azzone, Bertelè, 1994, Kovács,
2008
Pressures coming from suppliers for the joint development
of environmentally friendly goods
Zhu et al., 2007, Zhang at al.,
2014
Pressures coming from firm's employees Zhang at al., 2014
Pressures coming from firm's shareholders Zhang at al., 2014
Table 26 - Drivers included in the survey
The fourth part of the survey was dedicated to the sustainable practices implementation. In
Literature, there are plenty of studies dealing with this topic, part of them are focusing on
practices of green design, green production and in general on sustainable practices adopted by
the focal company. There is then a second part of studies analyzing the implementation of
sustainable practices along the supply chain. These studies are generally focused on practices
involving different actors of the chain such as: collaboration with suppliers for greening the
process, suppliers’ assessment based on sustainable criteria and so on. The sustainable practices
120
individuated for this work are both company’s specific and supply chain’s specific. The selection of
the practices has been realized after a previous wider categorization, that has been better
exposed in the first chapter. In the end, the chosen practices were fifty: eight of green design, ten
of sustainable production, nine of suppliers’ selection and evaluation, ten of collaboration with
suppliers, five of collaboration with customers, three of supply chain network and five of green
logistics.
In the following tables the practices included in the research questionnaire are presented:
6.4.3.2 Green Design practices
PRACTICE Subcategory Reference
Design for disassembly (design
of the product for quickly,
easily and cheaply disassemble
it at the end of its life)
Green Design
Shrivastava, 1995b; Carter and
Carter, 1998; Gupta, 1995;
Klassen and McLaughlin, 1993;
Kriwet et al., 1995; Gonzalez
et al., 2008; Zhu et al., 2008a;
and Holt and Ghobadian, 2009
Design for durability (design of
the product that ensure a long
life of it and the minimum
number of interventions on it)
Carter and Carter, 1998;
Gupta, 1995; Klassen and
McLaughlin, 1993; Kriwet et
al., 1995
Design for maintainability
(design of the product for
quickly, easily and cheaply
maintain and repair it during
its life)
Carter and Carter, 1998;
Gupta, 1995; Klassen and
McLaughlin, 1993; Kriwet et
al., 1995
Design for disposability (design
of the product for quickly,
easily and cheaply dispose it at
the end of its life)
Carter and Carter, 1998;
Gupta, 1995; Klassen and
McLaughlin, 1993; Kriwet et
al., 1995
Design for reuse, recycle or
material recovery Qinghua Zhu, Joseph Sarkis,
Kee-hung Lai, 2007
Design of "Low environmental
impact products" (design of
the product considering not
only the functional aspects,
but also the life cycle of the
product and its final disposal)
Walton, S. V., Handfield, R. B.,
& Melnyk, S. A; Chen, 2011
121
Use of Life Cycle Assessment
(environmental impact
assessment of the product
throughout its life cycle)
Davis, 1993; Davis, 1993;
Walton et al. (1998)
Sarkis (2001); Bovea e Vidal
(2003); Rao e Holt (2005);
Pagell e Wu (2009); Zailani et
al. (2012)
Lightweight design (design of
the product using light but
resistant materials)
Qinghua Zhu, Joseph Sarkis,
Kee-hung Lai, 2007
Table 27 - Green Design practices included in the survey
6.4.3.3 Sustainable Production practices
PRACTICE Subcategory Reference
Waste Management System
(management and recovery of
the energy amount, water used
and produced and recycled
waste)
Green Production
Klassen e McLaughlin (1996);
Min e Galle (1997);
Azevedo et al. (2011)
Use of renewable energy in
manufacturing
González-García et al., 2011;
Azevedo et al. (2011); Harms
et al. (2012); Mitra e Datta
(2014); Zailani et al. (2012)
Reduction in energy consumption
during the production process
Rao and Holt, 2005; Gonzalez
et al., 2008; Holt and
Ghobadian, 2009; Paulraj,
2009; S. González-García et
al., 2011
Use of environment friendly
materials/components/products
(wood and fabric from
sustainable sources)
Rao and Holt, 2005; Gonzalez
et al., 2008; Holt and
Ghobadian, 2009; San, H.P. et
al., 2015; D.R. Iritani et al.,
2015; S. González-García et
al., 2011
Use of filters and controls for
emissions and discharges
Gonzalez et al., 2008;
Handfield et al., 1997;
Azevedo et al. (2011); Sarkis
122
(2001)
Reduction in air emissions, liquid
and solid wastes
Rao and Holt, 2005; Gonzalez
et al., 2008; Holt and
Ghobadian, 2009; San, H.P. et
al., 2015; D.R. Iritani et al.,
2015; S. González-García et
al., 2011
Reuse, recycling and
remanufacturing materials
Carter and Carter, 1998;
Carter and Ellram, 1998;
Carter et al., 1998; Murphy et
al., 1995; Rao and Holt, 2005;
Vachon, 2007; Gonzalez et
al., 2008; Holt and
Ghobadian, 2009; Paulraj,
2009; Walton, S. V. et al.,
1998; Ashford, 1993; Dechant
& Altman, 1994; Florida,
1996; Hart, 1995; Porter &
van der Linde, 1995a, 1995b;
Polonsky, M. J., &
Rosenberger, P. J., 2001
Pollution prevention practices
(reduction of the amount of raw
materials, reduction of source)
S. L. Hart, 1995; P.
Christmann, 2000; Ashford,
1993; Porter & van der Linde,
1995a, 1995b
Adoption of environmental
certification (e.g. ISO 14001)
Green Management
Daily e Huang (2001); Rao e
Holt (2005); Vachon e Klassen
(2006); Zhu et al. (2008);
Nawrocka et al. (2009);
Azevedo et al. (2011)
Adoption of health & safety
certification (e.g. ISO 18001)
Daily e Huang (2001);
Kleindorfer et al. (2005);
Pheng e Kwang (2005)
Table 28 - Sustainable Production practices included in the survey
123
6.4.3.4 Suppliers selection and evaluation practices
PRACTICE Subcategory Reference
Selection of suppliers who
comply with the minimum
standards and regulations
regarding sustainability and
have environmental and social
certifications (ISO 14001,
SA8000)
Suppliers’ green Management
Walton et al. (1998); Zsidisin e
Siferd (2001; Handfield et al.
(2002); Azevedo et al. (2011);
Mitra e Datta (2014)
Selection of suppliers that
proactively support sustainable
innovation
Carter et al. (1998); Mamic
(2005); Narasimhan et al.
(2006); Pagell e Wu (2009);
Reuter et al. (2010)
Choice of suppliers with a solid
sustainable reputation Walton, S. V. et al., 1998
Environmental and social
monitoring of suppliers (through
supplier's self-evaluation)
Hu and Hsu, 2006; Vachon,
2007; Zhu et al., 2008a; Holt
and Ghobadian, 2009; Paulraj,
2009; Zhu et al., 2008b
Environmental and social
monitoring of suppliers (through
audits at the supplier's situ)
Zsidisin e Siferd (2001);
Handfield et al. (2002); Pagell e
Wu (2009); Large e Gimenez
(2011); Harms et al. (2013)
Environmental and social
monitoring of second-tier
suppliers (through supplier's
self-evaluation)
Hu and Hsu, 2006; Vachon,
2007; Zhu et al., 2008a; Holt
and Ghobadian, 2009; Paulraj,
2009; Zhu et al., 2008b
Environmental and social
monitoring of second-tier
suppliers (through audits at the
supplier's situ)
Walton et al. (1998); Preuss
(2001); Holt (2004); Vachon
(2007); Zhu et al. (2008); Holt
and Ghobadian (2009); Paulraj
(2009); De Marchi et al. (2013)
Definition of a Code of Conduct
for suppliers
F. Caniato et al., 2012; David
Styles et al., 2012¸ Pedersen e
Andersen (2006); Harms et al.
(2013)
Development of suppliers'
Environmental Management
System (EMS) Handfield et al. (1997)
Table 29 - Suppliers selection and evaluation practices included in the survey
124
6.4.3.5 Collaboration with suppliers’ practices
PRACTICE Subcategory Reference
Communication with suppliers
to ensure their compliance to
environmental and ethical
requirements
Green Purchasing
Hu and Hsu, 2006; Zhu et al.,
2008a; Holt and Ghobadian,
2009; Carter et al., (1998)
Collaboration with suppliers to
improve their manufacturing
processes in order to reduce
their environmental impact
Walton et al. (1998); Krause et
al.
(2000); Bowen et al. (2001);
Zsidisin e Siferd (2001); Styles
et al. (2012); De Marchi et al.;
(2013)
Jointly setting targets for
suppliers for improving their
environmental sustainability
performances
Walton et al. (1998); Krause et
al.
(2000); Bowen et al. (2001);
Zsidisin e Siferd (2001); Styles
et al. (2012); De Marchi et al.;
(2013)
Development of training
programs for suppliers for
enhance their environmental
sustainability performances
Harms et al. (2013)
Encouraging suppliers to take
back packaging
Rao and Holt, 2005; Holt and
Ghobadian, 2009
Rewarding suppliers with
monetary or image incentives
for the achievement of
environmental sustainability
performances
Krause et al. (2000); Peters
(2010); Gimenez e Sierra
(2012); Harms et al. (2013)
Jointly setting targets for
suppliers for improving their
social sustainability
performances
Ringov e Zollo (2007)
Development of training
programs for suppliers for
enhance their social
sustainability performances
Harms et al. (2013)
125
Rewarding suppliers with
monetary of images incentives
for the achievement of social
sustainability performances
Krause et al. (2000); Peters
(2010); Gimenez e Sierra
(2012); Harms et al. (2013)
Collaboration with suppliers to
improve their working
conditions
Ringov e Zollo (2007)
Table 30 - Collaboration with suppliers’ practices included in the survey
6.4.3.6 Collaboration with customers’ practices
PRACTICE Subcategory Reference
Development of training
programs for clients to
enhance their environmental
performance
Green customer management
Routroy, 2009; Porter e van
der Linde (1995); Hart (1997);
Geffen e Rothenberg, (2000);
Bowen et al. (2001); Gold et al.
(2010); Vachon e Klassen
(2008); Pagell e Wu (2009)
Development of training
programs for clients to
enhance their social
performance
Routroy, 2009; Porter e van
der Linde (1995); Hart (1997);
Geffen e Rothenberg, (2000);
Bowen et al. (2001); Gold et al.
(2010); Vachon e Klassen
(2008); Pagell e Wu (2009)
Collaboration with clients for
eco-design
Zhu et al., 2008 a, b; Q. Zhu, J.
Sarkis, 2004; Porter e van der
Linde (1995); Hart (1997);
Geffen e Rothenberg, (2000);
Bowen et al. (2001); Gold et al.
(2010);
Collaboration with clients for
cleaner production (a
preventive environmental
protection initiative. It is
intended to minimize waste
and emissions and maximize
product output)
Zhu et al., 2008 a, b; Q. Zhu, J.
Sarkis, 2004
Collaboration with clients for
green packaging
Q. Zhu, J. Sarkis, 2004;
Routroy, 2009
126
Table 31 - Collaboration with customers’ practices included in the survey
6.4.3.7 Supply chain network design practices
PRACTICE Subcategory Reference
Local sourcing: choice of local
suppliers rather than
geographically scattered ones
in order to reduce the
environmental and social
impact
Design of the Network
practices
David Styles et al., 2012;
Narashiman and Nair (2005);
Beamon (2008); Halldorsson et
al. (2009); Pagell e Wu (2009);
Azevedo et al. (2011)
Presence of a reverse logistics
system (product recollection
after its usage and its rework
or recycling)
Wu & Dunn, 1995; Kroon e
Vrijens (1995); Thierry et al.
(1995); Stock (1998); Rogers e
Tibben- Lembke (2001); De
Brito e Dekker (2003);
Azevedo et al. (2011); Dekker
et al. (2012)
Suppliers' base reduction
(reduction of the number of
suppliers in case some of them
didn't respect the sustainable
policy of the company
Lamming and Hampson
(1996); Handfield et al.
(1997); Delmas and Montiel
(2009)
Table 32 - Supply chain network design practices included in the survey
127
6.4.3.8 Green logistics practices
PRACTICE Subcategories Reference
Packaging size optimization to
reduce energy and materials
consumption
Green Logistics
Wu e Dunn (1995); Rao e Holt
(2005); Azevedo et al. (2011);
Thiell et al. (2011); Dekker et
al. (2012)
Development of a
reusable/recyclable packaging
Zhang et al., 2014; Wu e Dunn
(1995);Rao e Holt (2005);
Azevedo et al. (2011); Thiell et
al. (2011); Dekker et al. (2012)
Use of recyclable pallets
Sustainable warehousing
Stock (1998); Thiell et al.
(2011)
Cross docking (unloading
materials from an incoming
semitrailer truck and loading
these materials directly into
outbound trucks with little or
no storage in between)
Wu & Dunn, 1995
Use of biofuels to feed the
vehicles (biomethane,
bioethanol, biodiesel) Green distribution
Rao et al. (1991); Wu e Dunn
(1995); Thiell et al. (2011);
Dekker et al. (2012); Zhang et
al. (2014)
Table 33 - Green logistics practices included in the survey
128
6.4.3.9 Performance
The fifth part of the questionnaire was dedicated to the measurement of the TBL performance of
the interviewed company. The performance included in the survey regarded all the pillars of
sustainable development, thus firms were questioned on their environmental, social and
economic performance. In particular, the question proposed in the questionnaire was formulated
in the following way: “how much have the following performance improved over last year?”. The
formulation of the question was intended to investigate the change in corporate performance
with respect to the market average. As for practices, also for performance the final list included in
the survey was the result of a previous wider classification that is better explained in the first
chapter of this study. The following table (Table 34) summarizes the performance contained in the
survey.
PERFORMANCE Category Reference
Productivity of the production
process
Economic
Shah e Ward (2003); Zhu et al. (2005);
Pochampally et al. (2009); Tsai e Hung
(2009); Azevedo et al. (2011)
Manufacturing costs Shah e Ward (2003); Zhu et al. (2005);
Pochampally et al. (2009); Tsai e Hung
(2009); Azevedo et al. (2011)
Raw materials purchasing cost Shah e Ward (2003); Zhu et al. (2005);
Pochampally et al. (2009); Tsai e Hung
(2009); Azevedo et al. (2011)
Transport costs
Shah e Ward (2003); Zhu et al. (2005);
Pochampally et al. (2009); Tsai e Hung
(2009); Azevedo et al. (2011)
Warranty costs
Shah e Ward (2003); Zhu et al. (2005);
Pochampally et al. (2009); Tsai e Hung
(2009); Azevedo et al. (2011)
Cost of scraps/reworks AlKhidir e Zailani (2009); Nawrocka et
al. (2009)
Inventory costs Susana G. Azevedo et al., 2011
Workers satisfaction
Social
Qinghua Zhu and Joseph Sarkis, 2004;
Hutchins and Sutherland (2008); Eccles
et al. (2012); Mitra and Datta (2014);
Wiengarten and Longoni (2015); GRI
Health and safety conditions Margot J. Hutchins and John W.
Sutherland, 2008; Qinghua Zhu and
Joseph Sarkis, 2004; Hutchins e
129
Sutherland (2008); Eccles et al. (2012);
Mitra e Datta (2014); Wiengarten e
Longoni (2015); GRI
Energy, water and materials
consumption
Environmental
Qinghua Zhu and Joseph Sarkis, 2004;
Hart e Ahuja (1996); Hervani et al.
(2005); Zhu et al. (2005); Rusinko
(2007); Omer (2007)
Waste disposing costs
Qinghua Zhu and Joseph Sarkis, 2004;
Walley e Whitehead (1994); Hart e
Ahuja (1996); Russo e Fouts (1997);
King e Lenox (2001); King e Shaver
(2001); Zhu et al. (2005); Cowan et al.
(2010)
Cost for non-compliance to
environmental law and regulations
Porter & van der Linde, 1995b;
Qinghua Zhu and Joseph Sarkis, 2004;
Ashford, 1993; Shrivastava, 1995a
Emissions of CO2 and other
hazardous and / or polluting
materials
Qinghua Zhu and Joseph Sarkis, 2004;
Walley and Whitehead (1994); Russo e
Fouts (1997); King e Lenox (2001); King
e Shaver (2001); Zhu et al. (2005);
Rusinko (2007); Pullman et al. (2009);
Eccles et al. (2012); Wiengarten and
Longoni (2015)
Sustainable image/reputation
Imagine
Min e Galle (2001); Melnyk et al.
(2002); Hervani et al. (2005);
Cetindamar (2007); Nair and Menon
(2008); Pochampally et al.
(2009); Mitra and Datta (2014)
Customer satisfaction
Kainuma e Tawara (2006); Nair e
Menon (2008); Vachon e Klassen
(2008); Pochampally et al. (2009);
Azevedo et al. (2011); Mitra e Datta
(2014)
Local communities’ satisfaction Cetindamar (2007); Hutchins e
Sutherland (2008)
Table 34 - Performance included in the survey
Finally, in part six of the questionnaire product and process features were further investigated. In
particular, one of the request was to describe the average concentration of the supply market.
Fifteen of the fifty-eight respondents (of which five were wooden panels producers), stated that
the average concentration of the supply market was high, ten (of which two were components
130
suppliers) stated it was low, twenty-eight (of which 5 suppliers) indicated that it was medium, two
of the manufacturers indicated the option “very high”, while three of the respondents chose the
option “very low”. The next question regarded the level of innovation of the company’s
manufacturing technologies. Three of the respondents, two producers and one suppliers,
answered that their technologies were completely new, twenty-two of the interviewed (of which
five suppliers) stated that they had modestly established production technologies, twenty-one of
them (of which five suppliers) indicated the option “mature”, only four manufacturers selected
the option “very well established” while seven manufacturers and one supplier considered their
technologies not very established. The same question was asked about the suppliers’
manufacturing technologies. Most the respondents (thirty-four, of which eight suppliers) believed
that their suppliers had modestly established manufacturing technologies. Fifteen (of which three
panels manufacturers) indicated their suppliers’ technologies as mature, three furniture
producers indicated the option “very well established” while six of the manufacturers chose “not
so established”. Finally, two questions regarding the lead time of the production process of the
focal company and of its suppliers were asked. For what concerned the lead time of the
respondent, it emerged that according to thirteen of the fifty-eight respondents (including three
suppliers) the lead time of the their production process was constant, for two of the interviewed
it coul vary very widely, for five of them (two suppliers) it varies a lot, according to thirteen of the
companies (of which five suppliers) it modestly varies, but for the majority of the respondents
(twenty-five of which two suppliers) the LT of their production process varies little (Fig. 48)
Figure 49 - production process LT
131
For what concerned the LT of the suppliers the results were: ten respondents (1 suppliers)
answered that their suppliers’ LT is constant, just one (a manufacturing company) indicated “it
can change widely” as option, eight companies (two suppliers) selected the option “varies a lot”,
fourteen of the respondents (two suppliers) believed that their suppliers’ LT varies modestly, but
even in this case most the respondents (twenty-five of which five suppliers) stated that their
suppliers’ LT varies little (Fig. 50).
Figure 50 - Suppliers' LT
The last question asked in the survey regarded the demand trend in the furniture market. It was
asked how much the demand of the customers varies compared to its average value. Only two
respondents said that the demand was stable with respect to its average value. Fourteen
companies (of which five suppliers) stated that the demand varies a lot, seven firms and one
suppliers instead indicated that the demand can varies very widely with respect to its average
value. Twenty-four of the respondents (of which four panels producers) answered that the
demand of their customers can have variations of medium entity. Finally, ten of the interviewed
companies (two suppliers) selected the option “it has variations of small entity”.
6.4.4 Factor analysis
After the conclusion of the data collection phase, a huge amount of information was recorded. It
was fundamental to find a smart and efficient way to manage all the data collected and valorize
the underlying features. It was agreed that running a factor analysis on drivers, practices and
performance was the best way to easily handle the large volume of information available, in line
with the several Literature references that pursued similar paths (Zhang et al., 2014; Zhu et al.,
132
2008; Zhu et al., 2007; Macchion et al., 2015; Zhu and Sarkis, 2004; Luthra et al., 2016). The
software chosen to run the analysis was SPSS.
Figure 51 - Steps of the analysis - factor analysis
Factor analysis identifies unobserved variables (factors) that explain patterns of correlations
within a set of observed variables. It is often used to identify a small number of factors that
explain most of the variance embedded in a larger number of variables. Thus, factor analysis is
about data reduction. It can also be used to generate hypotheses regarding the composition of
factors. Furthermore, factor analysis is often used to screen variables for subsequent analysis
(e.g., to identify collinearity prior to performing a linear regression analysis). There are three types
of factor analyses, namely (i) exploratory factor analysis, (ii) confirmatory factor analysis, and (iii)
structural equation modeling (Mooi and Sarstedt, 2011). The first two techniques are identical
from a statistical point of view; however, they are used in different ways. Exploratory factor
analysis is used to reveal the number of factors and the variables that belong to specific factors.
When a confirmatory factor analysis is conduced, we have clear expectations regarding the factor
structure (e.g., because we make use of a previously used survey) and we want to test if the
expected structure is indeed present. Structural equation modeling differs from those two
techniques, both statistically and practically. It is used to evaluate how well variables relate to
133
factors and what the relationships between the factors are (Mooi and Sarstedt, 2011). Generally,
the sequence of steps for the execution of a factor analysis can be represented as in Fig. 52.
Figure 52 - Steps involved in conducting a principal components analysis (Mooi and Sarstedt, 2011)
For the aim of this project, a confirmatory factor analysis was performed. During the phase of
survey’s construction, all drivers, practices and performance were preemptively divided in
subcategories (as shown in the previous table) with the prospect of the future factor analysis. The
subcategories were defined, when feasible, with a Literature reference. Therefore, scientific
papers showing the results of previous factor analysis on drivers, practices and performance were
carefully analyzed and, where possible, the constructs identified were imported in this study to
form the new ones.
Operatively speaking, in a confirmatory factor analysis, constructs (ξ) can be presented as circles
or ovals, and measured variables (x) can be presented as square or rectangular. Other elements
include: the relationships between the constructs and respective items (λ), the error terms (σ)
that capture the extent to which a construct does not explain the item, and the correlations
between the constructs of interest (φ). Figure 53 shows the hypothesized relationship between
the observed items and constructs.
134
Figure 53 - Example of a path diagram (Mooi and Sarstedt, 2011)
An important element of a confirmatory factor analysis, which is crucial when working with scales,
is the reliability analysis. SPSS offers the opportunity to run the Cronbach’s Alpha test. Cronbach’s
Alpha coefficient varies from 0 to 1, whereas a generally agreed lower limit for the coefficient is
0.70. However, in exploratory studies, a value of 0.60 is acceptable, while in the more advanced
stages of research, values of 0.80 or higher are regarded as satisfactory.
6.4.5 Cluster Analysis
Another interesting feature of SPSS was the possibility of perform a cluster analysis. This was a
key step in the study because one of the targets that were set at the end of the data collection
phase, was to try to classify companies according to their goodness in implementing sustainable
practices. Therefore, running a cluster analysis on practices represented the best way to create
categories in line with the Literature references found that confirm this theory (Chen et al., 2012;
Zhu and Sarkis, 2004). Specifically, the analysis was performed on the practices factors, previously
computed thanks to the factor analysis. Using the factors as input for the cluster analysis allows to
reduce the sample size and consequently the likelihood of obtain wrong clusters.
135
Figure 54 -Steps of the analysis - cluster analysis
Cluster analysis is a convenient method for identifying homogenous groups of objects called
clusters. Objects (or cases, observations) in a specific cluster share many characteristics, but are
very dissimilar to objects not belonging to that cluster. The most popular approaches in market
research, that can be easily computed using SPSS, are: (i) hierarchical methods, (ii) partitioning
methods (more precisely, k-means), and (iii) two-step clustering, which is largely a combination of
the first two methods. Each of these procedures follows a different approach to grouping the
most similar objects into a cluster and to determining each object’s cluster membership. In other
words, whereas an object in a certain cluster should be as similar as possible to all the other
objects in the same cluster, it should likewise be as distinct as possible from objects in different
clusters (Mooi and Sarstedt, 2011).
Figure 55 illustrates the steps associated with a cluster analysis.
136
Figure 55 - Steps in a cluster analysis (Mooi and Sarstedt, 2011)
In this thesis work, a two-step cluster analysis was performed, however a hierarchical cluster
analysis was also performed as a confirm of the results obtained with the first analysis. The two-
step cluster analysis developed by Chiu et al. (2001) can effectively cope with very large datasets.
The name two-step clustering is already an indication that the algorithm is based on a two-stage
approach: In the first stage, the algorithm undertakes a procedure that is very similar to the k-
means algorithm (specifically, the procedure aims at segmenting the data in such a way that the
within-cluster variation is minimized). Based on these results, the two-step procedure conducts a
modified hierarchical agglomerative clustering procedure that combines the objects sequentially
to form homogenous clusters. This is done by building a so-called cluster feature tree whose
“leaves” represent distinct objects in the dataset. The procedure can handle categorical and
continuous variables simultaneously and offers the user the flexibility to specify the cluster
numbers as well as the maximum number of clusters, or to allow the technique to automatically
choose the number of clusters on the basis of statistical evaluation criteria. Likewise, the
procedure guides the decision of how many clusters to retain from the data by calculating
measures-of-fit such as Akaike’s Information Criterion (AIC) or Bayes Information Criterion (BIC).
Furthermore, the procedure indicates each variable’s importance for the construction of a specific
cluster (Mooi and Sarstedt, 2011).
137
6.4.6 ANOVA
The ANOVA test was fundamental to investigate whether there was a significant difference in
performance of companies belonging to different classes of sustainable strategic fit. Moreover, it
was also applied to drivers to understand which were the most impacting on firms’ decision to
implement sustainable practices, similarly of what ANOVA Salam (2008) did in his paper.
Figure 56 - Steps of the analysis - ANOVA analysis
ANOVA is useful for complex research questions, such as when three or more means need to be
compared, as ANOVA can analyze multiple differences in one analysis. The most common types of
ANOVA are the one-way and two-way ANOVA. For the goal of this study, the one-way ANOVA has
been selected as best choice. ANOVA is used to examine mean differences between more than
two groups. In more formal terms, the objective of one-way ANOVA is to test the null hypothesis
that the population means of the groups under consideration (defined by the factor and its levels)
are equal. For example, if we compare three groups, the null hypothesis is:
H0 = μ1 = μ2 = μ3
This hypothesis implies that the population means of all three promotion campaigns are identical.
138
The alternative hypothesis is:
H1 = at least two of μ1, μ2 and μ3 are different
which implies that at least two population means differ significantly. Of course, before we even
think of running an ANOVA in SPSS, we have to come up with a problem formulation, which
requires us to identify the dependent variable and the factor, as well as its levels (Mooi and
Sarstedt, 2011). Once this task is done, we can dig deeper into the ANOVA by following the steps
described in Fig. 57.
Figure 57 - Steps in ANOVA (Mooi and Sarstedt, 2011)
139
7 Analysis of the
results
140
7.1 General considerations on the analyses
conducted The central purpose of this work, was to investigate the impact that a sustainable strategic fit (or
the lack of it) between the strategic role of sustainability (order winner, market qualifier or
desirable attribute) and the actual implementation of green and social practices has on corporate
performance. Moreover, it was interesting to look for possible relationships between external and
internal drivers and company’s commitment to develop a sustainable corporate strategy. Finally,
the analysis focused on the different behaviors of producers and suppliers, with the same
consideration of sustainability as a competitive factor, when they develop sustainable practices.
To answer these questions, a structured questionnaire was developed and sent to many
companies operating in the wood and furniture industry. Both furniture manufacturers and
panels producers were included in the sample, this was made to enlarge the analysis to
companies with different positions along the chain (RQ3). To manage the vast amount of data
gathered, a dimension reduction analysis was performed, specifically a factor analysis was
conducted on drivers, practices and performance. Factors obtained from the factor analysis on
practices, were used as input for a further statistical analysis: the cluster analysis. This additional
step, allowed to split the subjects into groups. These groups were defined according to
companies’ goodness in implementing sustainable practices (RQ1). An ANOVA analysis on drivers’
factors was run to valorize eventual relationships between external or internal driving forces and
the implementation of sustainable practices (RQ2). Afterwards, combining the clusters previously
found with companies’ declaration of sustainability’s strategic role, nine firms’ labels were
formed. However, the real added-value of this project is brought by the definition of the link
between the labels and the change in corporate triple bottom line performance (RQ4). This result
was achieved thanks to the execution of an ANOVA analysis on performance with the aim of
identifying eventual significant differences in performance’s means of companies belonging to
different labels.
The research framework presented in the previous chapter, fairly enshrines all the point of
interests of the work (Fig. 58).
141
Figure 58 - Research framework
While the practices can be considered the starting point of this analysis, the second interesting
issue faced in this work is their relationships with drivers, this link is well represented in the
framework. Research question two aims at investigating what is the impact that company’s
position along the supply chain has on the effort to develop green and social practices. In the
framework, it is also included the impact that external and internal drivers may have on the
implementation of sustainable practices. Finally, the green box encompassing the strategic role of
sustainability and the practices implemented can be easily associated with the definition of
sustainable strategic fit introduced in the Research framework and Methodology chapter. The
impact that the sustainable strategic fit has on performance is graphically represented by the
arrow connecting the green box with the performance box.
In the following sections, the results of each analysis conducted will be presented, concurrently
the answers to RQ1, RW2, RQ3 and RQ4 will be provided.
7.2 Analysis of the survey’s results and
considerations Of the 1580 surveys sent, only 76 returned filled. Of these, only 58 were complete and so suitable
for the analysis. Forty-six of the respondents were recognized as furniture manufacturers, while
the remaining twelve were components suppliers such as panels producers or wooden semi-
142
finished item manufacturers. The sample was quite heterogeneous: the average revenues of
respondents were 32.638.863 €, the highest value specified was 411.587.464 € while the lowest
one was 400.000 €. The biggest company in terms of employees had 1600 employees, the
smallest one had 3.
Competitive role of social and environmental sustainability: the survey’s results
After the first introductive part of the questionnaire that collected the main features of the
company’s supply chain network, the core part of the survey began with a question focused on
the strategic role of sustainability. Firms were asked to indicate an attribute for both social and
environmental sustainability, they could choose among six options: 1) Not so important compared
to other competitive factors (e.g.: quality, price...), 2) Not strategic but still desirable characteristic
("nice to have"), 3) A necessary condition to operate in Our sector, 4) A required characteristic of
a product in order for the product to be even considered by a customer, 5) Very important for Us
to win orders and 6) A characteristic that will win the bid or customer's purchase. The first and
second options correspond to the Desirable Attribute concept introduced in the Research
framework and Methodology chapter, they both indicate that sustainability, either social or
environmental, is not a competitive factor for the company. Options 3 and 4 reflect the idea that
sustainability is a market qualifier for the company while options 5 and 6 correspond to the
concept of order winner. These further breakdowns were proposed to allow respondents to
choose among a wider range of options and to not limit their answers to only three degrees of
relevance.
Companies expressed separately their opinion on social and environmental sustainability, in few
cases respondents ranked them differently, sometimes assigning very distant values to social and
environmental sustainability. To keep and valorize the distinction between the two aspects, the
subsequent analyses have been conducted separately in accordance with the companies’
answers.
Considering the fifty-eight complete answers to the question, ten companies indicated that
environmental sustainability was an order winner, the same happened for social sustainability.
However, while twenty-four interviewees believed environmental sustainability was a market
qualifier, only twenty considered social sustainability with the same importance. Consequently,
the remaining twenty-eight firms indicated social sustainability as a desirable attribute, while only
twenty-four considered environmental sustainability a desirable attribute. Therefore, at a very
143
draft level of observation, it emerged that environmental sustainability was generally considered
a more strategic competitive factor than social sustainability.
In detail, three of participants to the study indicated environmental sustainability as not so
important compared to other competitive factors (e.g.: quality, price...), twenty-one stated that
environmental sustainability was a not strategic but still desirable characteristic ("nice to have"),
eight selected the option “a necessary condition to operate in Our sector”, sixteen of the total
sample claimed that environmental sustainability was a required characteristic of a product in
order for the product to be even considered by a customer, seven considered it as very important
for them to win orders and three of the respondents stated it was a characteristic that will win
the bid or customer's purchase. For what concerned social sustainability: sixteen of the fifty-eight
firms considered it as not so important compared to other competitive factors (e.g.: quality,
price...), twelve selected the option “not strategic but still desirable characteristic ("nice to
have")”, twelve claimed it was a necessary condition to operate in their sector, eight considered
social sustainability a required characteristic of a product in order for the product to be even
considered by a customer, seven of the respondents believed it was as very important for them to
win orders and according to the three of the total sample it was a characteristic that will win the
bid or customer's purchase. Table 35 summarized these considerations.
How do you judge the following competitive factors?
1 2 3 4 5 6
Not so important
compared to
other
competitive
factors (e.g.:
quality, price...)
Not strategic
but still
desirable
characteristic
("nice to have")
A necessary
condition to
operate in
Our sector
A required characteristic
of a product in order for
the product to be even
considered by a
customer
Very
important for
Us to win
orders
A characteristic
that will win the
bid or
customer's
purchase
Environmental
sustainability
3/58 21/58 8/58 16/58 7/58 3/58
Social
sustainability
16/58 12/58 12/58 8/58 7/58 3/58
Table 35 - Strategic role of environmental and social sustainability (overall answers)
From these results, it is possible to observe how social sustainability is considered from almost
half of the respondents a desirable attribute, while only twenty indicated it as a market qualifier
and even fewer, just ten, believed it was an order winner. This result can be justified by the fact
that all companies are already required to comply with employees’ health and safety national
regulations and certifications and consequently they are forced to introduce measures to improve
144
corporate social sustainability. For these reasons, it is reasonable that social sustainability is not
considered a strategic factor from many participants to the survey, as it is a widely diffused
concept and it cannot represent a competitive advantage. Conversely, environmental
sustainability seems to be considered more strategic than social one. Many respondents indicated
it as a “nice to have” characteristic, but many others considered it a market qualifier. This is an
incredible progress if we consider that ten years ago very few firms would have included
environmental sustainability among the factors that allow the company to compete on the
market.
7.2.1 Drivers impact on practices implementation: the survey’s
results
The driver that the interviewees indicated as most impacting is central and regional governmental
environmental regulations, followed by establishing company's green image and pressures
coming from customers' environmental awareness. All the details of the answers are showed in
the following table (Table 36).
145
How much did the following factors influence your decision to undertake sustainability
practices?
DRIVERS 1 = Not
at all 2 3 4 5 = A lot
Central and regional governmental
environmental regulations 7/58 5/58 16/58 15/58 15/58
Pressures coming from customers'
environmental awareness 8/58 15/58 11/58 17/58 7/58
Establishing company's green image 4/58 9/58 15/58 20/58 10/58
Reacting to competitors' green
initiatives 12/58 16/58 17/58 11/58 2/58
Pressures coming from local
communities 32/58 17/58 7/58 1/58 1/58
Pressures coming from suppliers for
the joint development of
environmentally friendly goods
29/58 16/58 12/58 1/58 0/58
Pressures coming from firm's
employees 29/58 16/58 10/58 2/58 1/58
Pressures coming from firm's
shareholders 26/58 13/58 9/58 5/58 5/58
Avoiding potential costs and liabilities
for disposal of hazardous materials 15/58 13/58 18/58 10/58 2/58
Table 36 - Degree of relevance of drivers (survey's answers)
It is understandable that a relevant part of the respondents indicated compliance with
environmental regulations as one of the main driving forces. They are forced to respect laws’
requirement, otherwise they have to pay hefty fines. A consistent share of the interviewees,
answered that improve their company’s image to make it more green and pressures coming from
customers are two other important stimuli for the development of a corporate sustainable
strategy. As widely observed in Literature, customers are becoming more and more aware of their
purchasing behavior and their buying decisions are increasingly led by the general environmental
and social concerns. Therefore, companies are somehow obliged to review their approach to
sustainability and increase their involvement in green initiatives, if they want to remain
competitive on the modern market. As a matter of competitiveness, reacting to competitors'
146
green initiatives is the fourth driver, in terms of importance, indicated by companies, followed by
avoiding potential costs and liabilities for disposal of hazardous materials. Conversely, pressures
coming from the firm’s main shareholders and stakeholders (i.e. suppliers, local communities and
employees) are the weakest factors pushing companies to the implementation of green and social
practices. This could be attributed to the scarce information among the stakeholders about the
importance of integrating sustainability principles into the firm’s activities.
7.2.2 Sustainable practices implementation: the survey’s results
The overall practices included in the survey were fifty, divided in seven sections: green design,
sustainable production, suppliers’ selection and evaluation, collaboration with suppliers,
collaboration with customers, supply chain network design and green logistics. The results of all
these sections will be exposed in the following pages and progressively commented.
The first family of practices proposed it the survey were Green Design practices. In many cases
respondents assigned very low values to these practices because they outsourced the design
activity, thus they did not dedicate resources to the design activity. Specifically, twenty-six of the
firms participating to the analysis performed the design activity internally, while the remaining
thirty-two outsourced the design activity.
The most implemented design practice is design for durability. This is not an unexpected result, as
it is reasonable that also firms that are not particularly concerned about sustainability, aim to
design durable products. Reasonably, those that are involved with sustainable initiatives, should
have selected very high values. Similar considerations can be drawn for design for maintainability,
that is the second most voted practice. Maintainability represents a cost even for companies that
do not consider sustainability as a strategic factor, thus it is reasonable that design for
maintainability is one of the most quoted practice. Lightweight design, Design of low
environmental impact products, Design for reuse, recycle or material recovery and Design for
disposability obtained similar values. These are practices that are very much related to the
environmental sphere, thus it is likely that interviewees that are not sensitive to the theme
assigned very low values to these practices. Finally, Use of Life Cycle Assessment and Design for
disassembly close the rank with the lowest scores.
The following table (Table 37) contains the details of the answers to the green design question.
147
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this
by choosing 5, while 1 means that you have not implemented or developed this at all. Please
always refer to the chosen product family
GREEN DESIGN
1 = not
impleme
nted at
all
2 3 4 5 = fully
impleme
nted
Design for disassembly (design of the
product for quickly, easily and cheaply
disassemble it at the end of its life)
18/58 24/58 4/58 7/58 5/58
Design for durability (design of the
product that ensure a long life of it and
the minimum number of interventions
on it)
5/58 7/58 11/58 20/58 15/58
Design for maintainability (design of
the product for quickly, easily and
cheaply maintain and repair it during
its life)
5/58 8/58 17/58 18/58 10/58
Design for disposability (design of the
product for quickly, easily and cheaply
dispose it at the end of its life)
12/58 19/58 11/58 10/58 6/58
Design for reuse, recycle or material
recovery 10/58 21/58 16/58 7/58 4/58
Design of "Low environmental impact
products" (design of the product
considering not only the functional
aspects, but also the life cycle of the
product and its final disposal)
18/58 7/58 15/58 10/58 8/58
Use of Life Cycle Assessment
(environmental impact assessment of
the product throughout its life cycle)
11/58 16/58 16/58 5/58 10/58
Lightweight design (design of the
product using light but resistant
materials)
20/58 13/58 11/58 8/58 6/58
Table 37- Green design practices (survey's results)
148
The details showed in Table 37 confirmed fifteen of the respondents have already fully
implemented design for durability practices, while ten have already developed design for
maintainability measures. As a confirm of the conclusion previously drawn, the eighteen of the
interviewees has not implemented design for disassembly practices at all, while twenty of them
has no experience in Life Cycle Assessment instruments.
The second category of practices included in the questionnaire was Sustainable Production one.
This group of practices was very much focused on the production process of the company and on
how many efforts the interviewee put in improving the environmental and social conditions of its
factories.
The use of filters and controls for emissions and discharges is the most diffused practices
according to the surveyed firms. Installation of filters and controls is often a mandatory
requirement of norms regulating the production activities of companies. Thus, more and more
firms are adopting this measure to comply with the legislation. Installation of a Waste
Management System and adoption of Pollution prevention practices are the second-ranked
production practices. It is known that pollution prevention, not only allows to reach consistent
savings when correctly performed, but also contribute to prevent the generation of pollution.
Similarly, waste management system helps company to correctly manage their wastes and, when
possible, to reduce the amount of waste produced. Reduction in energy consumption during the
production process is the fourth most implemented practices in the sustainable production
category, followed by use of environment friendly materials/components/products, reduction in
air emissions, liquid and solid wastes, use of renewable energy in manufacturing and reuse,
recycling and remanufacturing materials. These practices are related with the environmental
sphere and sometimes they required a high initial investment to have significant return in the
future. Therefore, companies are often reluctant to undertake these type of initiatives, only those
truly interested in sustainability usually don’t face resistance in implementing these practices.
Finally, the least widespread sustainable practices are adoption of environmental certification
(e.g. ISO 14001) and adoption of health & safety certification (e.g. ISO 18001). In the following
table (Table 38) these considerations will be further confirmed by the detail of the answers.
149
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this by
choosing 5, while 1 means that you have not implemented or developed this at all. Please
always refer to the chosen product family
SUSTAINABLE PRODUCTION
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Waste Management System
(management and recovery of the
energy amount, water used and
produced and recycled waste)
6/58 11/58 15/58 18/58 8/58
Use of filters and controls for emissions
and discharges 7/58 5/58 15/58 20/58 11/58
Use of renewable energy in
manufacturing 15/58 6/58 18/58 9/58 10/58
Adoption of environmental certification
(e.g. ISO 14001) 27/58 6/58 6/58 4/58 15/58
Adoption of health&safety certification
(e.g. ISO 18001) 25/58 7/58 7/58 9/58 10/58
Use of environment friendly
materials/components/products (wood
and fabric from sustainable sources)
13/58 10/58 11/58 14/58 10/58
Reuse, recycling and remanufacturing
materials 14/58 12/58 14/58 9/58 9/58
Reduction in energy consumption during
the production process 3/58 16/58 18/58 11/58 10/58
Reduction in air emissions, liquid and
solid wastes 12/58 11/58 15/58 11/58 9/58
Pollution prevention practices (reduction
of the amount of raw materials,
reduction of source)
5/58 14/58 14/58 15/58 10/58
Table 38 - Sustainable production (survey's results)
150
At this point, a sequence of practices involving the whole supply chain were proposed to the
interviewees. Practices that engage the entire chain are much more challenging than those
focused only on the focal company. For a successful implementation of sustainable supply chain
practices, all players must be deeply involved with the problem and all actors must contribute to
solve it. Sustainable supply chain practices proposed in the questionnaire regard relationships
with suppliers, relationships with customers and supply chain network design.
The first category of practices was suppliers’ selection and evaluation. This is a fundamental step
to build a solid network of sustainable practices. The core concept behind the implementation of
this group of initiatives is that suppliers should be selected based on their sustainable
performance.
Companies participating to the study, attributed great importance to the selection of suppliers
that proactively support sustainable innovation and that present a solid sustainable reputation.
They also preferred suppliers who comply with the minimum standards and regulations regarding
sustainability and have environmental and social certifications (ISO 14001, SA8000). As already
mentioned, carry on these initiatives is quite complex and challenging, thus, companies that
assigned a high value to these practices are reasonably supporters of sustainable supply chain
development. Conversely, respondents attributed lower importance to the environmental and
social monitoring of suppliers (first and second tier) through site inspection or self-evaluations.
The following table (Table 39) summarized the detailed answers to these questions.
151
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of time
and resources) any of these practices previous to the one-year time frame, indicate this by
choosing 5, while 1 means that you have not implemented or developed this at all. Please always
refer to the chosen product family
SUPPLIERS’ SELECTION AND
EVALUATION
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Selection of suppliers who comply with
the minimum standards and regulations
regarding sustainability and have
environmental and social certifications
(ISO 14001, SA8000)
10/58 9/58 14/58 22/58 3/58
Selection of suppliers that proactively
support sustainable innovation 8/58 7/58 13/58 26/58 4/58
Choice of suppliers with a solid
sustainable reputation 9/58 8/58 16/58 23/58 2/58
Environmental and social monitoring of
suppliers (through supplier's self-
evaluation)
16/58 16/58 15/58 11/58 0/58
Environmental and social monitoring of
suppliers (through audits at the
supplier's situ)
17/58 16/58 14/58 9/58 2/58
Environmental and social monitoring of
second-tier suppliers (through supplier's
self-evaluation)
26/58 14/58 14/58 3/58 1/58
Environmental and social monitoring of
second-tier suppliers (through audits at
the supplier's situ)
25/58 13/58 14/58 4/58 2/58
Definition of a Code of Conduct for
suppliers 19/58 15/58 16/58 6/58 2/58
Development of suppliers'
Environmental Management System
(EMS)
32/58 8/58 12/58 5/58 1/58
Table 39 - Suppliers' selection and evaluation (survey's results)
152
These detailed results, allow to draw some further conclusions: very few companies have fully
developed suppliers’ selection and evaluation practices. For instance, only four selected only
suppliers that proactively support sustainable innovation, while no one selected the option “fully
developed” for what concerned the environmental and social monitoring of suppliers through
supplier's self-evaluation. A significant share of respondents instead, did not implemented at all
this type of practices. For example, thirty-two of respondents do not consider owning an EMS an
added value when selecting a supplier, twenty-six of them did no environmental and social
monitoring of second-tier suppliers (nor through supplier's self-evaluation neither through audits
at the supplier's situ). These results can be partially justified considering the already developed
suppliers’ pool of the interviewees. Companies could have developed some strategic partnerships
with historical suppliers that cannot be easily replaced. Moreover, firms could have selected
historical suppliers based on different criteria such as: quality, price, reliability and so on, thus the
current partners could not be compliant with the sustainability selection criteria indicated in the
list.
Sustainable purchasing practices are quite numerous, especially those dealing with collaboration
and communication with suppliers. In the questionnaire, ten of these were selected and included
in the section called collaboration with suppliers. Collaborate, or even just communicate, with
suppliers for sustainable purposes, require a high degree of integration between the actors and at
least the same level of interest towards environmental and social issues. Usually, the focal
company is the first to introduce the sustainability theme in its business activities and
subsequently convince the other supply chain’s members to do the same. When collaboration and
communication among chain’s actors is fully developed, a sustainable supply chain is created.
Anyhow, currently there are very few companies that managed to build an entirely sustainable
supply chain. This difficulty in implementing suppliers’ collaboration practices emerges also from
the answers provided by interviewees to the survey’s dedicated question.
The most developed suppliers’ collaboration practices, according to the survey’s respondents,
were communication with suppliers to ensure their compliance to environmental and ethical
requirements. It is interesting to note that this is the only “communication” practice, the others
are all about “collaboration” with suppliers. Communicate with suppliers is much easier than
develop initiatives together or set join targets. Thus, is reasonable that this has been indicated as
most developed practice, because it doesn’t require big efforts to be implemented. Collaboration
with suppliers to improve their manufacturing processes in order to reduce their environmental
impact and collaboration with suppliers to improve their working conditions are the second and
153
the third ranked practices. While the least implemented practices, according to the survey’s
participants, are those requiring the assignment of monetary or image incentives.
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this by
choosing 5, while 1 means that you have not implemented or developed this at all. Please
always refer to the chosen product family
COLLABORATION WITH SUPPLIERS
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Communication with suppliers to
ensure their compliance to
environmental and ethical
requirements
7/58 12/58 19/58 17/58 3/58
Collaboration with suppliers to
improve their manufacturing
processes in order to reduce their
environmental impact
16/58 8/58 18/58 13/58 3/58
Collaboration with suppliers to
improve their working conditions 17/58 9/58 25/58 7/58 0/58
Jointly setting targets for suppliers
for improving their environmental
sustainability performances
18/58 12/58 17/58 10/58 1/58
Jointly setting targets for suppliers
for improving their social
sustainability performances
20/58 12/58 18/58 7/58 1/58
Development of training programs
for suppliers for enhance their
environmental sustainability
performances
30/58 13/58 8/58 6/58 1/58
Development of training programs
for suppliers for enhance their social
sustainability performances
30/58 14/58 9/58 5/58 0/58
Rewarding suppliers with monetary
or image incentives for the 42/58 10/58 5/58 1/58 0/58
154
achievement of environmental
sustainability performances
Rewarding suppliers with monetary
of images incentives for the
achievement of social sustainability
performances
41/58 11/58 5/58 1/58 0/58
Encouraging suppliers to take back
packaging 26/58 14/58 14/58 3/58 1/58
Table 40 - Suppliers' collaboration (survey's results)
From the details of the answers showed in Table 40, emerges that very few companies already
managed to fully implement collaboration practices with suppliers. In many cases, no one of the
respondents chose the option “fully developed” to explain the level of development of a practice.
On the contrary, the collaboration practices that companies interviewed did not implemented a
lot are numerous. Around the forty-two of firms belonging to the research sample do not provide
monetary or image incentives to suppliers that achieved environmental performance. Anyway,
this is not symptom of a lack of collaboration with suppliers, it just indicates that usually focal
companies expect the achievement of sustainable performance without offering nothing in turn.
However, if sustainable collaboration works well, there is no need to reward suppliers for their
results, because they are as involved in the cause as the focal company is.
Also for the downstream phase of the supply chain, a set of practices engaging the company and
its customers has been included in the questionnaire in the section named collaboration with
customers. If collaboration with suppliers is a challenging objective, collaboration with clients to
develop joint sustainable initiatives is even harder.
The value attributed to this practices are generally very low, however it is still possible to rank
them and see which is the most implemented one. Collaboration with clients for eco-design
results the initiatives with the highest average value. This practice, when correctly developed, can
bring consistent benefits to both manufacturer and customer. Design activity is one of the first
phases carried out by producer, thus a collaboration with customers could anticipate its
requirements in the product development process and improve customer’s satisfaction and
loyalty. Similar consideration can be drawn for the second and third ranked practices:
Collaboration with clients for cleaner production and collaboration with clients for green
packaging. Both these practices, as the first one, can bring economic advantages to product
manufacturer and customer. Only one of the respondents answered that they have fully
155
implemented training programs for clients to enhance their environmental performance or
collaboration with clients for cleaner production. The remaining details of the answers are
reported in Table 41.
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this by
choosing 5, while 1 means that you have not implemented or developed this at all. Please
always refer to the chosen product family
COLLABORATION WITH CUSTOMERS
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Development of training programs for
clients to enhance their environmental
performance
31/58 17/58 6/58 3/58 1/58
Development of training programs for
clients to enhance their social
performance
31/58 18/58 7/58 0/58 2/58
Collaboration with clients for eco-design 19/58 15/58 14/58 7/58 3/58
Collaboration with clients for cleaner
production (a preventive environmental
protection initiative. It is intended to
minimize waste and emissions and
maximize product output)
21/58 17/58 11/58 8/58 1/58
Collaboration with clients for green
packaging 23/58 12/58 14/58 7/58 2/58
Table 41- Customers' collaboration (survey's answers)
Practices regarding the supply chain network design are generally very rare and it is difficult to
find valid references in Literature. However, they are important for the correct construction of a
sustainable supply chain and so a section of the questionnaire was dedicated to them. The results
show that a fair share of the respondents implement the local sourcing practices, while a modest
part of interviewees adopt a reverse logistics system or perform a suppliers' base reduction in
case some of them didn't respect the sustainable policy of the company. For the aim of this study,
local sourcing was intended with a sustainable meaning (i.e. choice of local suppliers rather than
geographically scattered ones in order to reduce the environmental and social impact). However,
156
local sourcing can be implemented by companies even for economic or quality reasons: local
suppliers reduce the transport costs and respect the same quality standards of the focal company.
This could be one reason for the high value attributed to this practice.
Table 42 shows the popularity of the different supply chain network design practices. As
mentioned above, a large share of respondents (seventeen out of fifty-eight) has already fully
implemented local sourcing practices. Lower are the share of companies that already fully
implemented the remaining two practices. A lot of them (thirty-four out of fifty-eight) do not
adopt at all reverse logistic systems, while seventeen of them dedicate limited effort to the
suppliers’ base reduction in case of lack of sustainable criteria.
Think about sustainable practices which may have been implemented by your company in the
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this by
choosing 5, while 1 means that you have not implemented or developed this at all. Please always
refer to the chosen product family
SUPPLY CHAIN NETWORK DESIGN
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Local sourcing: choice of local
suppliers rather than geographically
scattered ones in order to reduce the
environmental and social impact
6/58 7/58 13/58 15/58 17/58
Presence of a reverse logistics system
(product recollection after its usage
and its rework or recycling)
34/58 12/58 8/58 3/58 1/58
Suppliers' base reduction (reduction
of the number of suppliers in case
some of them didn't respect the
sustainable policy of the company)
14/58 17/58 15/58 10/58 2/58
Table 42 - Supply chain network design (survey's results)
Finally, the section of the questionnaire dedicated a section to the implementation of green
logistic practices. Differently from the latter categories, this last group of practices is targeted on
the single company. While a very wide field of research exists on logistics practices, it is not the
same for sustainable logistics practices; in this category both sustainable packaging practices and
green transportation practices are included. Nevertheless, despite they are relatively new
157
measures, these initiatives can bring consistent savings to the company. Companies participating
to the research survey seemed to appreciate these type of practices, indeed they are among the
most implemented ones. Packaging size optimization to reduce energy and materials
consumption and development of a reusable/recyclable packaging are the two most developed
practices, followed by use of recyclable pallets and finally cross docking and use of biofuels to
feed the vehicles. Especially in the wooden furniture industry, the realization of recyclable
packaging can represent a big opportunity of savings. If companies can recover packaging and
recycle the packaging material, they can obtain consistent savings on the material purchasing
cost. Similar considerations can be drawn with the use of recyclable pallets, at the end of their
useful life firms can recover pallets and recycle them.
A large share of respondents, gave very high values (between four and five) to packaging size
optimization practice and development of a reusable/recyclable packaging practices: twelve and
fourteen declared they have fully implemented both practices, while seventeen and twenty
respectively admitted that have almost completed the development of the initiatives. This is also
true for the use of recyclable pallets, twelve of respondents stated they have already fully
implemented this practice, while sixteen is close to the finalization. Use of biofuels to feed the
vehicles is the least diffused practices among companies, indeed the forty-three of respondents
has not implemented it at all and, by contrast, zero declared a full development of this practice.
Think about sustainable practices which may have been implemented by your company in the
158
previous year. If you have fully implemented or fully developed (with relevant investment of
time and resources) any of these practices previous to the one-year time frame, indicate this
by choosing 5, while 1 means that you have not implemented or developed this at all. Please
always refer to the chosen product family
GREEN LOGISTICS
1 = not
impleme
nted at
all
2 3 4
5 = fully
impleme
nted
Packaging size optimization to reduce
energy and materials consumption 5/58 8/58 16/58 17/58 12/58
Development of a reusable/recyclable
packaging 8/58 8/58 8/58 20/58 14/58
Cross docking (unloading materials
from an incoming semitrailer truck and
loading these materials directly into
outbound trucks with little or no
storage in between)
30/58 10/58 7/58 9/58 2/58
Use of recyclable pallets 6/58 8/58 16/58 16/58 12/58
Use of biofuels to feed the vehicles
(biomethane, bioethanol, biodiesel) 43/58 8/58 5/58 2/58 0/58
Table 43 - Green logistics (survey's results)
7.2.3 Performance improvement: the survey’s results
As last, a list of environmental, social and economic performance was proposed in the survey.
Firms were asked to indicate how much each of the performance has improved with respect to
the market average during the last year. This question was extremely important, because it
allowed to observe if there was a relationship between companies that improved their
performance and those that dedicated many efforts for the development of sustainable practices
having declared that sustainability was a competitive strategic factor. If this happened, then it
could be concluded that there is a strategic fit between sustainable practices installation,
sustainability’s role declaration and TBL performance improvement.
In general, it can be said that performance trend of interviewed companies is in line with the
market average. However, looking Table 44, it is possible to note how some performance have
slightly improved with respect to the market average, for example: sustainable image/reputation,
customer satisfaction, cost for non-compliance to environmental law and regulations and
159
emissions of CO2 and other hazardous and / or polluting materials have improved in the last year.
The first two cited performance involve mainly the external environment such as customers and,
in general, the market. In particular, sustainable image/reputation improvement is a consequence
of sustainable actions, thus it reasonable to suppose that only capable companies indicated a
positive trend of this performance. Cost for non-compliance to environmental law and regulations
and emissions of CO2 and other hazardous and / or polluting materials have improved in the last
year. These performance, are much more related to the environmental sphere, thus only
companies that are proactively engaged with environmental initiatives should observe a positive
improvement of these values.
Performance that saw a negative trend with respect to the market average during the last year
are: manufacturing costs, raw material purchasing costs and inventory costs. It is known that
sustainable materials are generally more expensive than traditional ones (especially in industries
like the wooden furniture one where the raw materials are non-renewable substances). Thus, the
worsening of the material purchasing cost performance can be characteristic of the companies
that decided to develop sustainable purchasing practices.
The table (Table 44), shows in details the answers of companies questioned about the change in
their triple bottom line performance during the last year. It is interesting to note that very few
companies chose the first of the last options (the performance has improved much less than the
market average and the performance has improved much more than the market average,
respectively). Most of respondents indicate a neutral option: the performance is in line with the
market average. Firms are often reluctant to declare their weaknesses, but at the same time, they
also seem to be careful in declaring big improvement in their performance.
How much have the following performance improved over last year?
PERFORMANCE
The performance
has improved
much less than the
market average
The performance
has improved less
than the market
average
The performance is
in line with the
market average
The performance
has improved more
than the market
average
The performance
has improved
much more than
the market average
Productivity of
the production
process
0/58 5/58 34/58 19/58 0/58
Sustainable
image/reputation 0/58 2/58 22/58 29/58 5/58
Customer 0/58 0/58 26/58 29/58 3/58
160
satisfaction
Workers
satisfaction 0/58 3/58 33/58 21/58 1/58
Health and safety
conditions 0/58 3/58 24/58 25/58 6/58
Local
communities’
satisfaction
2/58 4/58 38/58 12/58 2/58
Manufacturing
costs 0/14 14/58 36/58 7/58 1/58
Raw materials
purchasing cost 0/58 12/58 35/58 11/58 0/58
Energy, water and
materials
consumption
1/58 4/58 39/58 12/58 2/58
Transport costs 0/58 4/58 44/58 9/58 1/58
Warranty costs 0/58 6/58 39/58 10/58 3/58
Waste disposing
costs 1/58 9/58 45/58 8/58 0/58
Cost of
scraps/reworks 1/58 4/58 45/58 8/58 0/58
Inventory costs 0/58 11/58 42/58 5/58 0/58
Cost for non-
compliance to
environmental
law and
regulations
1/58 4/58 35/58 15/58 3/58
Emissions of CO2
and other
hazardous and /
or polluting
materials
1/58 2/58 33/58 16/58 6/58
Table 44 - Performance (survey's results)
161
7.3 Answer to RQ1 Once collected all the relevant information from the survey, the analysis phase began. The first
research question of the analysis was the following:
RQ1: How companies can be classified according to their commitment in implementing
sustainable practices?
The ultimate goal of this question, was to investigate whether there were firms particularly good
in developing sustainable supply chain practices and, by contrast, if there was a class of
companies that invested little efforts in the implementation of green and social initiatives.
To answer Research Question one, survey’s results have been further analyzed and reprocessed.
First, companies participating to the survey were codified with two types of identifiers: PR for
finished furniture manufacturers and FOR for components’ suppliers. In total the research’s
sample was composed by fifty-eight companies, forty-six manufacturers (PR) and twelve suppliers
(FOR). Companies’ identities will not be revealed in the study, because it was guaranteed to firms,
that the questionnaire was anonymous and the analysis of results would have been done ensuring
full respect of privacy.
After this general consideration, a more intense analysis has been conducted on practices. In the
survey, practices were divided in seven sections: 1) Green design, 2) Sustainable production, 3)
Suppliers’ selection and evaluation, 4) Collaboration with suppliers, 5) Collaboration with
customers, 6) Supply chain network design and 7) Green logistics. However, during the
construction of the questionnaire, sustainable practices have been further detailed and grouped
in subcategories (or constructs). These groups were formed, when possible, based on Literature’s
references. The initial draft groups identified from the Literature’s review were: 1) Green design,
2) Green purchasing, 3) Green management, 4) Green production, 5) Green suppliers’
management, 6) Green customers’ management, 7) Supply chain network design 8) Sustainable
warehousing, 9) Green distribution. This was made to reduce the numerousness of practices in
each section, but it was a stand-alone analysis until this part of the assessment began.
To reduce the high number of practices listed in the questionnaire, in total they were fifty, a
dimension reduction analysis on the total sample of practices was run. In particular, several
explorative factor analyses were performed: one for each construct previously defined. The goal
of the analysis was to demonstrate that practices could effectively be divided in factors, and these
factors corresponded to the subcategories identified in the first part of the study.
162
The analysis was performed with the support of SPSS software, that gave the opportunity to show
as output the Coefficients, Significance levels, Reproduced correlation matrix as well as the KMO
and Barlett’s test of sphericity. When a factor analysis is run in SPSS, it is also necessary to select
the Extraction option. By default, SPSS sets this as the principal components, this is also the
extraction method used for this analysis as it is the most diffused and reliable one. Moreover, also
the rule for factor extraction can be manually modified: SPSS, by default, extracts all factors with
an Eigenvalue greater than one, the alternative is to impose to the software the number of factors
desired. As the aim of the factor analysis performed in this work was to prove that each construct
corresponds effectively to one factor, no imposition on the number of factors was made. The
same thing happens with the rotation method. SPSS allows to choose between several orthogonal
and oblique rotation methods. The Varimax procedure was the most indicated for this analysis
because there were no strong theoretical grounds for assuming (moderately) correlated factors.
Since the factors scores resulted from the dimension reduction analysis were meant to be the
input for a subsequent cluster analysis, they were saved as variables in SPSS.
The first important output of SPSS’s factor analysis is the correlation matrix. It shows whether the
variables are sufficiently correlated to conduct a principal components analysis. The threshold
value for the correlation is generally considered 0,30. If all the correlation matrix’s values lies
above the defined limit, then it can be concluded that the variables are sufficiently correlated and
so the analysis can continue. The coefficients included in the correlation matrices resulted from
the explorative factor analyses performed, were always higher than the threshold value, thus the
factor analysis has been considered an adequate analysis for each group of practices.
SPSS offers also two additional measures to determine whether the items are sufficiently
correlated. One is the Kaiser-Meyer-Olkin (KMO) statistic, also called measure of sampling
adequacy (MSA), it indicates whether the correlations between variables can be explained by the
other variables in the dataset. The threshold values for KMO are summarized in the following
table (Figure 59):
Figure 59 - Threshold values for KMO and MSA (Kaiser, 1974)
163
Another powerful instrument provided by SPSS to analyze the variables’ correlation is Bartlett’s
test of sphericity, it can be used to test the null hypothesis that the correlation matrix is a
diagonal matrix (i.e. all non-diagonal elements are zero) in the population. In other words, the null
hypothesis H0 claims that, in the population, all variables are uncorrelated. If the p value of this
test is significant (p < 0,05), it means that the null hypothesis can be rejected. Therefore, the
decision of whether the data are appropriate for a factor analysis should be based also on the
KMO statistic and on the Bartlett’s test of sphericity. In all the exploratory factor analyses
conducted, the KMO values were either middling or meritorious and the p values of the Bartlett’s
test of sphericity resulted significant for every construct. Therefore, it was concluded that all the
input data were adequate to continue the analysis.
The core part of the factor analysis is the total variance explained matrix. This chart shows how
many factors SPSS individuated in the analyzed sample. For the purpose of the performed
analysis, the ideal output of each explorative factor analysis, was that the majority of the sample’s
variance was explained by one single factor. In some cases, this didn’t happen and it was
necessary to further split the initially defined construct because SPSS showed that in that category
the total variance was explained by two factors instead of one. However, at the end of the
multiple factor analyses, twelve factors were determined:
25. Green design (GD)
26. Green management (GM)
27. Green production (GP)
28. Pollution prevention and control (PPC)
29. Suppliers green monitoring (SGM)
30. Suppliers green assessment (SGA)
31. Green collaboration with suppliers (GCS)
32. Socially responsible purchasing (SRP)
33. Green customer management (GCM)
34. Design del network (DDN)
35. Sustainable packaging (SP)
36. Green logistics (GL)
Each of these factors was representative of two or more practices. The following tables show how
this separation occurred:
164
Practice ID Factor Cronbach's
Alpha
Design for disassembly (design of the
product for quickly, easily and cheaply
disassemble it at the end of its life)
GD1
GREEN DESIGN
(GD)
,889
Design for durability (design of the
product that ensure a long life of it and
the minimum number of interventions
on it)
GD2
Design for maintainability (design of
the product for quickly, easily and
cheaply mantainain and repair it during
its life)
GD3
Design for disposability (design of the
product for quickly, easily and cheaply
dispose it at the end of its life)
GD4
Design for reuse, recycle or material
recovery GD5
Lightweight design (design of the
product using light but resistent
materials)
GD6
Design of "Low environmental impact
products" (design of the product
considering not only the functional
aspects, but also the life cycle of the
product and its final disposal)
GD7
Table 45 - GD factor composition
Practice ID Factor Cronbach's
Alpha
Adoption of environmental
certification (e.g. ISO 14001) GM1 GREEN
MANAGEMENT
(GM) ,825
Adoption of health&safety
certification (e.g. ISO 18001) GM2
Table 46 - GM factor composition
165
Practice ID Factor Cronbach's
Alpha
Waste Management System
(management and recovery of the
energy amount, water used and
produced and recycled waste)
GP1
GREEN
PRODUCTION
(GP)
,772
Use of renewable energy in
manufacturing GP2
Reduction in energy consumption
during the production process GP3
Table 47 - GP factor composition
Practice ID Factor Cronbach's
Alpha
Use of filters and controls for
emissions and discharges PPC1
POLLUTION
PREVENTION &
CONTROL (PPC)
,886
Reuse, recycling and remanufacturing
materials PPC2
Reduction in air emissions, liquid and
solid wastes PPC3
Pollution prevention practices
(reduction of the amount of raw
materials, reduction of source)
PPC4
Table 48 - PPC factor composition
166
Practice ID Factor Cronbach's
Alpha
Environmental and social monitoring of
suppliers (through supplier's self
evaluation)
SGM1
SUPPLIER GREEN
MONITORING
(SGM)
,886
Environmental and social monitoring of
suppliers (through audits at the
supplier's situ)
SGM2
Environmental and social monitoring of
second-tier
suppliers (through supplier's self
evaluation)
SGM3
Environmental and social monitoring of
second-tier
suppliers (through audits at the
supplier's situ)
SGM4
Definition of a Code of Conduct for
suppliers SGM5
Development of suppliers'
Environmental Management System
(EMS)
SGM6
Use of Life Cycle Assessment
(environmental
impact assessment of the product
throughout its life cycle)
SGM7
Use of environment friendly
materials/components/products (wood
and fabric from sustainable sources)
SGM8
Table 49 - SGM factor composition
167
Practice ID Factor Cronbach's
Alpha
Selection of suppliers who comply
with the minimum standards and
regulations regarding sustainability
and have environmental and social
certifications (ISO 14001, SA8000)
SGA1
SUPPLIER GREEN
ASSESSMENT
(SGA)
,942
Selection of suppliers that proactively
support sustainable innovation SGA2
Choice of suppliers with a solid
sustainable reputation SGA3
Table 50 - SGA factor composition
Practice ID Factor Cronbach's
Alpha
Communication with suppliers to
ensure their compliance to
environmental and ethical
requirements
GCS1
GREEN
COLLABORATION
WITH SUPPLIERS
(GCS)
,845
Collaboration with suppliers to
improve their manufacturing
processes in order to reduce their
environmental impact
GCS2
Jointly setting targets for suppliers for
improving their environmental
sustainability performances
GCS3
Development of training programs for
suppliers for enhance their
environmental sustainability
performances
GCS4
Rewarding suppliers with monetary or
image incentives for the achievement
of environmental sustainability
performances
GCS5
Encouraging suppliers to take back
packaging GCS6
Table 51 - GCS factor composition
168
Practice ID Factor Cronbach's
Alpha
Collaboration with suppliers to improve
their working conditions SRP1
SOCIALLY
RESPONSIBLE
PURCHASING
(SRP)
,816
Jointly setting targets for suppliers for
improving their social sustainability
performances
SRP2
Development of training programs for
suppliers for enhance their social
sustainability performances
SRP3
Rewarding suppliers with monetary of
images incentives for the achievement
of social sustainability performances
SRP4
Table 52 - SRP factor composition
Practice ID Factor Cronbach's
Alpha
Development of training programs for
clients to enhance their environmental
performance
GCM1
GREEN
CUSTOMER
MANAGEMENT
(GCM)
,923
Development of training programs for
clients to enhance their social
performance
GCM2
Collaboration with clients for eco-
design GCM3
Collaboration with clients for cleaner
production (a preventive
environmental protection initiative. It is
intended to minimize waste and
emissions and maximize product
output)
GCM4
Collaboration with clients for green
packaging GCM5
Table 53 - GCM factor composition
169
Practice ID Factor Cronbach's
Alpha
Local sourcing: choice of local suppliers
rather
than geographically scattered ones in
order to reduce the environmental and
social impact
DDN1
NETWORK
DESIGN (DDN)
,660
Presence of a reverse logistics system
(product recollection after its usage
and its rework or recycling)
DDN2
Suppliers' base reduction (reduction of
the number of suppliers in case some
of them didn't respect the sustainable
policy of the company)
DDN3
Table 54 - DDN factor composition
Practice ID Factor Cronbach's
Alpha
Packaging size optimization to reduce
energy and materials consumption SP1
SUSTAINABLE
PACKAGING (SP)
,822
Development of a reusable/recyclable
packaging SP2
Use of recyclable pallets SP3
Table 55 - SP factor composition
Practice ID Factor Cronbach's
Alpha
Cross docking (unloading materials
from an incoming semitrailer truck and
loading these materials directly into
outbound trucks with little or no
storage in between)
GL1 GREEN
LOGISTICS (GL)
,664
Use of biofuels to feed the vehicles
(biomethane, bioethanol, biodiesel) GL2
Table 56 - GL factor composition
170
For each factor, the Cronbach’s Alpha value was computed. Cronbach’s Alpha is a reliability
analysis function provided by SPSS that allow to assess whether the scale’s results are consistent.
In other words, it ensures that the perception of the constructs do not change significantly over
time. The commonly suggested threshold for Cronbach’s Alpha is 0,7, however 0,65 is still
considered an acceptable value. All the factors obtained by the explorative factor analyses had a
satisfactory Cronbach’s Alpha, thus it can be concluded that the scale exhibited a high degree of
reliability. In the Appendix it is possible to see the factor scores matrix obtained as output from
SPSS.
At this point, the objective of dimension reduction was met. The sample was no more composed
by fifty practices, but by twelve factors that were still maintaining the intrinsic value of the
extended practices. However, to answer the initial research question (RQ1), it was necessary run a
classification analysis. Specifically, a cluster analysis was performed with the support of SPSS. The
software offered three typologies of cluster analyses: Hierarchical cluster analysis, K-Means
cluster analysis and Two-Step cluster analysis. For the purpose of this study, a two-step cluster
analysis was the most adequate solution.
As the factors resulted from the factor analysis were preemptively saved as variables in SPSS, it
was straightforward to use them as input for the cluster analysis. Two-step cluster analysis input
requirements are very simple: the type of variables must be specified, whether it is a categorical
variable or a continuous variable, in this case all the data were continuous variables. SPSS allows
to select the distance measure based on which the analysis is performed, one can choose
between log-likelihood or Euclidean distance measure, for this analysis the first one was selected.
Another very useful option that is provided by the two-step cluster analysis performed with SPSS,
is the possibility to create a cluster membership variable. This was fundamental for the analysis
under discussion, as its final goal was to categorize practices’ factors in classes. Finally, the
number of clusters desired as output can be specified. Once again, no limitation on the number of
the output-clusters were indicated, because the scope of the cluster analysis was to find the
optimum statistic result.
The output of the two-step cluster analysis performed on factors’ scores was the following:
171
Figure 60 - Model summary (cluster analysisi)
SPSS classified factors into three clusters and it indicated that the quality of the analysis just
performed was fair. Moreover, it is possible to have further details on the composition of the
clusters by looking at the following chart (Fig. 61):
Figure 61- CLuster size (cluster analysis)
172
Figure graphically shows the distribution of factors in the three clusters. Cluster one contained the
19% of the total input data, cluster two was the biggest one, it represented the 55,2% of the total
sample and finally cluster three included 25,9% of the overall inputs. The biggest cluster
contained thirty-two companies, while the smallest eleven. However, this chart didn’t show which
firms belong to each cluster.
Since the creation of a cluster membership variable was required, SPSS automatically assigned to
each company, a cluster membership. The result, is shown in the following table (Table 57).
Cluster Membership Company ID
1
PR46
PR12
PR14
PR19
PR20
PR21
PR26
PR29
PR39
PR44
PR45
2
FOR12
PR1
FOR1
PR4
PR5
PR6
FOR3
PR8
PR9
FOR5
FOR6
PR11
PR13
FOR8
FOR9
PR15
FOR10
PR17
PR18
FOR11
PR22
PR27
PR28
PR30
PR33
PR36
PR37
PR25
PR40
PR41
PR42
PR43
3
PR2
FOR2
PR3
PR7
FOR4
PR10
FOR7
PR16
PR23
PR24
PR31
PR32
PR34
PR35
PR38
173
Table 57 - Cluster membership
At this point, to characterize each cluster and find which of three classes of companies was the
best in implementing sustainable supply chain practices and which was the worst, it was
necessary to look at a further output of SPSS two-step cluster analysis: the centroids matrix (Table
58).
174
Centroids
GD GM GP PPC SGM SGA GSC SRP GCM DDN SP GL
Mean Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation Mean
Std.
Deviation
Cluster
1 1,0864 ,94766 ,9555 ,65642 ,5155 ,68661 ,8236 ,71410 1,4745 ,52288 ,9209 ,50439 1,2455 ,61862 1,2064 ,58805 1,2427 ,85379 ,9055 ,84354 ,6973 ,65712 1,3073 1,12749
2 -,0488 ,77880 ,0009 1,00062 ,2472 ,96788 ,2500 ,74767 -,0228 ,64884 ,2534 ,63966 ,0891 ,72522 ,0066 ,80117 ,0088 ,76932 ,1200 ,80244 ,3338 ,75867 -,1225 ,74953
3 -,6913 ,80054 -,6973 ,55573 -,9053 ,66656 -1,1373 ,63964 -1,0313 ,31753 -1,2173 ,76420 -1,1053 ,29046 -,8933 ,62879 -,9280 ,31779 -,9187 ,74704 -1,2220 ,49804 -,6900 ,15834
Combined ,0003 ,99985 ,0014 1,00006 ,0000 1,00129 ,0000 1,00019 ,0003 1,00075 -,0003 1,00015 -,0005 ,99961 ,0014 ,99888 ,0005 ,99964 ,0003 1,00025 ,0003 ,99952 ,0019 ,99912
Table 58 - Centroids matrix
175
Looking at the “Mean” value of each cluster, it was clear that the first cluster had the highest
values for each practices’ factor, thus it was reasonable to suppose that in that cluster, there were
companies really capable in implementing sustainable supply chain practices. In other words, first
cluster was composed by firms that dedicated a consistent share of resources to the development
of green and social initiatives. The third cluster, instead, had the worst means for each practices’
factor. Therefore, it was likely composed by firms that were not engaged in the sustainability
issue and consequently didn’t implement sustainable practices. As confirmed by the mean values,
the second cluster was representative of hybrid firms. These companies assigned medium values
to practices in the survey, they were not particularly good in developing environmental initiatives,
neither were the worst in doing so.
Based on these considerations, the following nomenclature was proposed: companies belonging
to cluster one were defined “Highly capable companies”, those lying in the second cluster were
the “Medium capable companies” and those included in the third class were the “Shortly capable
companies” (Table 59).
Cluster N. Cases Name
1 11 HIGHLY CAPABLE
COMPANIES
2 32 MEDIUM CAPABLE
COMPANIES
3 15 SHORTLY CAPABLE
COMPANIES
Table 59 - Clusters definition
At this point, all the data needed to form the three clusters were available. Combining the
information extracted from the centroids matrix with those coming from the cluster membership
variable, it was possible to formulate the following classification of companies according to their
commitment in implementing sustainable practices, the table reporting the companies classified
is consultable in the ANNEX.
Once reached this result, it is possible to draw some considerations:
- Highly Capable Companies: means of cluster one are the highest for each factor of
practices, it is evident from the centroid matrix that companies belonging to the first
cluster have are also the best performing ones in terms of sustainable practices
implementation, as they resulted the group that assigned the highest value to all
categories of practices. The first cluster is formed by eleven firms, of which zero suppliers.
176
This is already a notable characteristic, no one of the suppliers participating to the study
showed to be particularly capable in implementing sustainable practices. However, at this
level of analysis it is premature to conclude that suppliers are not deeply engaged in
sustainability. Highly capable companies are the scarcest cluster and this could be
interpreted as symptom of a scarce knowledge in the sector of the practices available on
the market or of a low general interest towards sustainable initiatives in the furniture
industry.
It is interesting to analyze which are the most implemented sustainable practices
according to this set of firms. Based on the average values of each practices’ factors, the
following ranking has been built.
1. Suppliers’ green monitoring practices
2. Green suppliers’ collaboration practices
3. Socially responsible purchasing practices
4. Green customer management practices
5. Green logistics practices
6. Green design practices
7. Suppliers’ green assessment practices
8. Network design practices
9. Pollution prevention and pollution control practices
10. Sustainable packaging practices
11. Green production practices
The most developed initiatives of this first cluster, are mainly sustainable supply chain
practices. They focus a lot on the relationship with suppliers and on the collaboration with
customers. These practices, if well implemented, can bring big advantages, both in
economic and environmental terms. The fact that socially responsible purchasing is one of
the most implemented practices by highly capable companies, show that this set of
companies has also a good consideration for social aspect of sustainability and not only
for the environmental one. A good level of implementation is also obtained for green
logistics practices, green design practices suppliers’ green assessment practices and
177
network design practices, while the least implemented practices by this first cluster of
companies, are the sustainable packaging ones and green production practices.
- Medium Capable Companies: looking at the centroid matrix, cluster two show modest
mean values, companies laying in this group are averagely implementing sustainable
practices, thus they have been defined as medium capable companies. Cluster two is
composed by thirty-two companies of which nine are components suppliers. This is the
biggest cluster both in terms of numerousness and for what concerns suppliers’ position
(75% of suppliers is in this cluster). The same type of ranking realized for the first cluster
can be made for the second cluster of analysis:
1. Sustainable packaging practices
2. Suppliers’ green assessment practices
3. Pollution prevention and pollution control practices
4. Green production practices
5. Network design practices
6. Green suppliers’ collaboration practices
7. Green customers’ management practices
8. Socially responsible purchasing practices
9. Green management practices
10. Suppliers’ green monitoring practices
11. Green design practices
12. Green logistics practices
Differently from the previous class of firms, medium capable companies prefer other type
of practices. For example, the most implemented set of practices for this category of firms
is the sustainable packaging one, while in the previous cluster this practice was one of the
least developed. Among the firsts, there are also pollution prevention and pollution
control practices and green production practices that were previously ranked among the
lasts. For medium capable companies the least implemented practices are green design
and green logistic practices, but also suppliers’ green monitoring has a low position in the
rank. Generally, sustainable supply chain practices such as green suppliers’ collaboration,
green customers’ management and socially responsible purchasing, are modestly
implemented by these companies, indeed they are ranked in a medium position.
178
- Shortly capable companies: from the centroid matrix it emerged that cluster three had
the lowest mean values, this has been interpreted as a bad performance in terms of
sustainable practices implementation, so companies belonging to cluster three have been
named as shortly capable companies. It is formed by fifteen companies of which three are
components’ suppliers. Shortly capable companies have a complete different ranking with
respect to the firms of cluster one:
1. Green logistics practices
2. Green design practices
3. Green management practices
4. Socially responsible purchasing practices
5. Green production practices
6. Network design practices
7. Green customer management practices
8. Suppliers’ green monitoring practices
9. Green suppliers’ collaboration
10. Pollution prevention and pollution control practices
11. Suppliers’ green assessment
12. Sustainable packaging
The most implemented sustainable practices of shortly capable companies are those
mainly focused on the focal company production process. For instance, green logistics and
green design are the two most implemented sustainable practices, followed by green
management practices. Compared to sustainable supply chain practices such as green
customer management and suppliers’ green monitoring, company-focused practices are
cheaper and easier to develop. This may be one of the reasons why shortly capable
companies implemented these practices the most. As already said, according to this last
cluster, sustainable supply chain practices are shortly implemented, but even less
developed are the suppliers’ green assessment practices and the sustainable packaging
practices.
7.4 Answer to RQ2: Once companies have been classified according to their commitment in implementing sustainable
practices, it was noteworthy assess if some differences in behaviors existed between suppliers
and manufacturers listed in the different classes. Specifically, being the strategic role of
179
sustainability the same, the differences in the level of implementation of sustainable practices of
suppliers and manufacturers were investigated.
RQ2: Being the strategic role of sustainability equal, what are the sustainable practices
implemented by manufacturers and suppliers?
To do so, after the positioning of companies in the three clusters (highly capable, medium capable
and shortly capable) has been defined, furniture producers and suppliers have been treated
separately to see if substantial differences existed among their classification. In other words, a
focus on the suppliers’ group was made in order to detect eventual concentration of these
subjects in a single cluster. However, this possibility has been excluded from the cluster analysis,
that clearly showed that suppliers were homogenously distributed among the three clusters.
Therefore, to answer RQ2, the first step was to focus on the strategic role of social and
environmental sustainability claimed by suppliers and by manufacturers. Then, suppliers and
producers with the same level of sustainable competitiveness were compared to see if there were
similarities, or significant differences, in the implemented sustainable practices.
Going back to the survey’s first question and focusing on the suppliers’ cluster embedded in the
already analyzed sample, it is possible to draw some further considerations. Four of the suppliers
answering the question, indicated environmental sustainability as not so important compared to
other competitive factors (e.g.: quality, price...), four of them considered it as not strategic but
still desirable characteristic ("nice to have"), two of the suppliers defined it as a necessary
condition to operate in their sector, two of them believed it was very important to win orders, but
no one of them selected the options “A required characteristic of a product in order for the
product to be even considered by a customer” or “A characteristic that will win the bid or
customer's purchase”. Similar considerations can be made focusing on social sustainability.
Nobody considered social sustainability not so important compared to other competitive factors
(e.g.: quality, price...), three of the suppliers stated it was a non-strategic but still desirable
characteristic ("nice to have"), five of the suppliers claimed it was a necessary condition to
operate in their sector, four considered social sustainability a required characteristic of a product
in order for the product to be even considered by a customer, but no one of the respondents
selected the options “Very important for Us to win orders” or “A characteristic that will win the
bid or customer's purchase”. In the following Table 60 the previous considerations are
summarized.
180
How do you judge the following competitive factors?
(focus on suppliers)
1 2 3 4 5 6
Not so important
compared to other
competitive
factors (e.g.:
quality, price...)
Not strategic but
still desirable
characteristic
("nice to have")
A necessary
condition to
operate in
Our sector
A required characteristic
of a product in order for
the product to be even
considered by a
customer
Very
important
for Us to
win orders
A characteristic
that will win the
bid or customer's
purchase
Environmental
sustainability
4/12 4/12 2/12 0/12 2/12 0/12
Social
sustainability
4/12 4/12 2/12 0/12 2/12 0/12
Table 60 - Strategic role of environmental and social sustainability (suppliers' answers)
From these data, it can be concluded that suppliers attributed a lower importance, in terms of
strategic advantage, to environmental sustainability. Most of them considered it a desirable
attribute, while very few of them believed it was a market qualifier or an order winner.
Conversely, social sustainability is considered by suppliers as a necessary condition to compete on
the market.
Producers, instead, showed a different approach towards sustainability. For what concerned
environmental sustainability, eighteen of respondents indicated that it was a non-strategic but
still desirable characteristic (“nice to have”), concurrently another large share of manufacturers
twelve showed it was a required characteristic of a product in order for the product to be even
considered by a customer. The remaining furniture producers considered environmental
sustainability either necessary condition to operate in their sector (three) or very important for
them to win orders (seven). Only three of respondents believed environmental sustainability was
not so important compared to other competitive factors, other three instead considered it a
characteristic that will win the bid or customer’s purchase. In general, social sustainability is
considered by furnishing producers a desirable attribute. twelve of respondents stated it was not
so important compared to other competitive factors, eighteen considered it non-strategic but still
desirable characteristic (“nice to have”). Another significant share ten instead believed that social
sustainability was a necessary condition to operate in their sector, while eight stated it was a
required characteristic of a product in order for the product to be even considered by a customer.
Only four affirmed that social sustainability was very important to win orders, and just three
believed it was a characteristic that will win the bid or customer’s purchase.
181
How do you judge the following competitive factors?
(focus on producers)
1 2 3 4 5 6
Not so important
compared to
other competitive
factors (e.g.:
quality, price...)
Not strategic but
still desirable
characteristic
("nice to have")
A necessary
condition to
operate in
Our sector
A required
characteristic of a
product in order for
the product to be
even considered by a
customer
Very
important
for Us to
win orders
A characteristic
that will win the
bid or customer's
purchase
Environmental
sustainability
3/46 18/46 3/46 12/46 7/46 3/46
Social
sustainability
12/46 8/46 10/46 8/46 4/46 3/46
Table 61 - Strategic role of environmental and social sustainability (producers' answers)
Therefore, producers are typically less concerned about social sustainability, while only part of
them prefer to dedicate resources to environmental sustainability improvement.
Furniture market is a very competitive one, especially in the last years, green products have
gained popularity and they are more and more the preferred choice of environmental aware
customers. If furniture firms want to target the green segment of the market, wooden furniture
manufacturers must comply with green initiatives such as: green design, recyclable products,
adoption of environmental certifications and so on. The most competitive businesses, have
already integrated environmental sustainability among their corporate competitive factors
(quality, delivery time, cost…) and the most innovative of them also managed to transform it into
their competitive advantage. However, still a big portion of firms doesn’t consider environmental
sustainability a factor able to bring competitiveness. This share of subjects is composed not only
by producers, but also by suppliers. Suppliers participating to this survey indeed, were typically
more concerned about social sustainability rather than about environmental one.
One possible explanation of this mismatch of sustainability’s strategic role declaration between
suppliers and producers, could be the different sizes of the companies belonging to the two
groups. The smallest supplier of the sample had 1.000.000 € of revenues, while the biggest one
had 16.000.000 € of revenues, the average value of revenues of suppliers was 6.125.000 €. The
overall producers’ group had quite different features: the maximum value of revenues was
411.587.464 €, the minimum value was 400.000 €, the average value was: 38.474.696 €. Thus, it
was reasonable to suppose that the discriminating factor for the different declarations of
sustainability strategic role was size.
182
Therefore, a section of the producers was selected and further analyzed. Specifically, only
producers with sales features comparable with the suppliers’ ones were chose. Overall, thirteen
producers were considered, the lowest value of revenues of this new sample was 1.200.000 €, the
highest value was 14.000.000 €, the average value was 4.945.923 €. Thus, much more comparable
values were selected. At this point a benchmarking between the new producers’ sample and the
suppliers’ group was performed. The results obtained are shown in the following charts:
Despite a different point of view is adopted, it is clear there is still a mismatch between what
suppliers stated about the competitive role of sustainability and what producers with a
comparable dimension affirmed. Therefore, it can be concluded that size is not the variable
discerning between the different role of environmental and social sustainability.
After this first consideration, an analysis on the practices implemented by manufacturers and
suppliers that declared the same strategic role of sustainability was conducted. Since
environmental and social sustainability were treated separately in the survey’s first question, also
this analysis was performed maintaining the separation.
To see which practices were the most implemented by each group of firms, factors of practices
previously defined were considered. In particular, it was computed the average value for each
factor in order to rank them from the most developed to the least one. The first comparative
analysis was performed between suppliers and producers that considered environmental
sustainability a desirable attribute. The following table (Table 62) shows the practices ranking for
both groups.
183
Environmental Sustainability is a Desirable Attribute
Suppliers Producers
1. Pollution prevention and pollution control practices
2. Sustainable packaging practices
3. Green design practices
4. Green production practices
5. Green management practices
6. Suppliers’ green assessment practices
7. Green customer management practices
8. Green collaboration with suppliers practices
9. Suppliers’ green monitoring practices
10. Green logistics practices
11. Socially responsible purchasing practices
12. Network design practices
1. Socially responsible purchasing practices
2. Sustainable packaging practices
3. Network design practices
4. Green management practices
5. Green design practices
6. Green customer management practices
7. Green collaboration with suppliers practices
8. Suppliers’ green monitoring practices
9. Suppliers’ green assessment practices
10. Green logistics practices
11. Green production practices
12. Pollution prevention and pollution control practices
Table 62 - Suppliers producers comparison: Environmental sustainability is a DA
Generally, suppliers dedicate much efforts in the implementation of pollution prevention and
pollution control practices, sustainable packaging practices and green design practices, producers
instead focus more on socially responsible purchasing practices and network design practices and
they dedicate resource to sustainable packaging practices too. It is interesting to note that while
for suppliers pollution prevention and pollution control practices are the most implemented one,
for producers this is the least developed practice. Conversely, sustainable packaging practices,
green customer management practices, suppliers’ green monitoring practices and suppliers’
green assessment practices are ranked more or less in the same position in both cases.
Similar considerations can be drawn for suppliers and producers that consider social sustainability
a desirable attribute. For what concern practices implemented by suppliers, pollution prevention
and pollution control practices are still among the most developed ones, as also green production
practices. Things changed a lot for sustainable packaging practices that now is one of the least
implemented practices. While network design practices are still the less developed ones for what
concerned suppliers. Network design practices, green management practices and sustainable
packaging practices are among the favorite practices of producers that considered social
184
sustainability a desirable attribute. Overall, only socially responsible purchasing shows now a very
different position compared to the previous ranking.
Social Sustainability is a Desirable Attribute
Suppliers Producers
1. Green production practices
2. Pollution prevention and pollution control practices
3. Suppliers’ green assessment practices
4. Suppliers’ green monitoring practices
5. Green collaboration with suppliers practices
6. Green management practices
7. Green customer management practices
8. Socially responsible purchasing practices
9. Green design practices
10. Green logistics practices
11. Sustainable packaging practices
12. Network design practices
1. Network design practices
2. Green management practices
3. Green design practices
4. Sustainable packaging practices
5. Green production practices
6. Socially responsible purchasing practices
7. Suppliers’ green monitoring practices
8. Suppliers’ green assessment practices
9. Green collaboration with suppliers practices
10. Green logistics practices
11. Green customer management practices
12. Pollution prevention and pollution control practices
Table 63 - Suppliers producers comparison: Social sustainability is a DA
Moving the attention towards producers and suppliers that indicate sustainability as a market
qualifier, different conclusions can be drawn. Both suppliers and producers ranked green
collaboration with suppliers practices among the most implemented ones, a part from this case
the other top ranked practices are all different. However, it can be observed an improvement in
the sustainable supply chain practices such as: suppliers’ green monitoring, suppliers’ green
assessment for suppliers, that in the previous analysis had worst ranking positions and green
customer management practices and green collaboration with suppliers for producers that were
previously among the least implemented initiatives. Finally, green logistics practices and suppliers’
green assessment practices are evaluated in similar ways from suppliers and producers for which
environmental sustainability is a market qualifier, in both cases they are low ranked practices.
185
Environmental Sustainability is a Market Qualifier
Suppliers Producers
1. Green production practices
2. Suppliers’ green monitoring practices
3. Suppliers’ green assessment practices
4. Green collaboration with suppliers practices
5. Pollution prevention and pollution control practices
6. Green customer management practices
7. Socially responsible purchasing practices
8. Green logistics practices
9. Green management practices
10. Network design practices
11. Sustainable packaging practices
12. Green design practices
1. Green logistics practices
2. Green customer management practices
3. Green collaboration with suppliers practices
4. Green management practices
5. Sustainable packaging practices
6. Socially responsible purchasing practices
7. Green design practices
8. Pollution prevention and pollution control practices
9. Green production practices
10. Suppliers’ green assessment practices
11. Network design practices
12. Suppliers’ green monitoring practices
Table 64 - Suppliers producers comparison: Environmental sustainability is a MQ
As in the first case, suppliers and producers considering social sustainability a market qualifier,
prefer different practices. Here the gap between suppliers and producers is very marked.
Suppliers that considered social sustainability a market qualifier primarily implement sustainable
packaging practices, green management practices and green customer management practices,
while producers focus their resources on pollution prevention and control practices, green
collaboration with suppliers and socially responsible purchasing practices. Similar positions in the
two rankings are shown for green logistics practices, suppliers’ green assessment and network
design practices.
186
Social Sustainability is a Market Qualifier
Suppliers Producers
1. Sustainable packaging practices
2. Green management practices
3. Green customer management practices
4. Pollution prevention and pollution control practices
5. Green design practices
6. Suppliers’ green assessment practices
7. Green production practices
8. Suppliers’ green monitoring practices
9. Green collaboration with suppliers practices
10. Network design practices
11. Green logistics practices
12. Socially responsible purchasing practices
1. Pollution prevention and pollution control practices
2. Green collaboration with suppliers practices
3. Socially responsible purchasing practices
4. Green customer management practices
5. Suppliers’ green assessment practices
6. Network design practices
7. Suppliers’ green monitoring practices
8. Green design practices
9. Sustainable packaging practices
10. Green logistics practices
11. Green production practices
12. Green management practices
Table 65 - Suppliers producers comparison Social sustainability is a MQ
Finally, suppliers and producers that declared that sustainability was an order winner, were
compared. Starting from comparison between suppliers and producers that considered
environmental sustainability an order winner, it can be observed that network design
practices and green logistics practices are among the most implemented practices by both
groups. Specifically, suppliers prefer sustainable practices that are generally focused on the
focal company, while producers with this level of strategic sustainability, develop mostly
sustainable supply chain practices such as: Socially responsible purchasing practices, Green
collaboration with suppliers practices and network design practices. For both categories,
green logistics practices and network design practices have the same level of development.
187
Environmental Sustainability is an Order Winner
Suppliers Producers
1. Pollution prevention and pollution control practices
2. Network design practices
3. Green production practices
4. Green management practices
5. Green logistics practices
6. Green design practices
7. Suppliers’ green assessment practices
8. Suppliers’ green monitoring practices
9. Sustainable packaging practices
10. Green customer management practices
11. Green collaboration with suppliers practices
12. Socially responsible purchasing practices
1. Socially responsible purchasing practices
2. Green collaboration with suppliers practices
3. Network design practices
4. Green logistics practices
5. Green customer management practices
6. Sustainable packaging practices
7. Pollution prevention and pollution control practices
8. Green design practices
9. Suppliers’ green monitoring practices
10. Suppliers’ green assessment practices
11. Green management practices
12. Green production practices
Table 66 - Suppliers producers comparison: Environmental sustainability is a OW
As last, suppliers and producers with the same strategic role of social sustainability were
compared. Even for these two groups of companies some similarities and some differences exist.
Both suppliers and producers privileged green logistics and green customer management
practices. Very different opinion are expressed for green production practices, that are ranked at
the first place from suppliers and at the last place from producers. Similar positions are instead
found for pollution prevention and control practices, sustainable packaging practices and socially
responsible purchasing practices.
188
Social Sustainability is an Order Winner
Suppliers Producers
1. Green production practices
2. Green customer management practices
3. Green logistics practices
4. Suppliers’ green assessment practices
5. Green collaboration with suppliers practices
6. Pollution prevention and pollution control practices
7. Sustainable packaging practices
8. Suppliers’ green monitoring practices
9. Socially responsible purchasing practices
10. Network design practices
11. Green design practices
12. Green management practices
1. Green logistics practices
2. Green design practices
3. Suppliers’ green monitoring practices
4. Green management practices
5. Green customer management practices
6. Sustainable packaging practices
7. Network design practices
8. Pollution prevention and pollution control practices
9. Suppliers’ green assessment practices
10. Green collaboration with suppliers practices
11. Socially responsible purchasing practices
12. Green production practices
Table 67 - Suppliers producers comparison: Social sustainability is a OW
At this point, all possible combination of strategic role of social and environmental sustainability
for producers and suppliers have been considered. Some final general observations can be drawn
regardless of whether sustainability is social or environmental.
When sustainability is a desirable attribute, pollution prevention and pollution control practices
are among the most implemented practices of suppliers, while it they are among the least
interesting for producers. A similar consideration can be made for green production: it is often
widely developed by suppliers, but is modestly implemented by producers. The opposite
consideration can be made for network design practices that are among the lasts for suppliers,
while they are of quite relevant position in the producers’ ranking. For both suppliers and
producers, suppliers’ green assessment and suppliers’ green monitoring are mildly attractive,
while green logistics practices are of very low interest regardless of the position of the company
along the supply chain.
When sustainability is a market qualifier pollution prevention and pollution control practices and
suppliers’ green assessment are two of the most implemented practices by suppliers, they are
189
also modestly implemented by producers. While network design practices and green logistics
practices are among the least developed initiatives for suppliers, they are of medium interest for
producers. There are significant differences between suppliers and producers for green
production practices that are generally more developed from suppliers than from producers.
Similarities are found for green collaboration with suppliers practices and green customer
management that are mildly implemented by both suppliers and producers.
When sustainability is an order winner green production is ranked among the most widespread
sustainable practices from suppliers, while producers have very little consideration of this
category of practices. Both producers and suppliers dedicate consistent resources to the
development of green logistics practices, as it is considered among the first positions of the
ranking by both. On average, suppliers’ green assessment practices are more implemented by
suppliers than by producers, while they dedicate the same amount of resources to sustainable
packaging practices, suppliers’ green monitoring practices and supplies’ green assessment that
are generally a medium-ranked by both. Finally, pollution prevention and pollution control is in
general higher ranked by suppliers than by producers.
7.5 Answer to RQ3: After the previous analysis on practices and on the role of company’s position along the supply
chain in practices implementation, the study moved to analyze if external and internal driving
factors had some influence on companies’ sustainable initiatives. In other words, research
question three was faced and answered.
Research question three was formulated in the following way:
RQ3: How external and internal drivers impact on companies’ commitment for the
implementation of sustainable practices?
In the survey, there was a specific section dedicated to the impact that drivers had on companies’
decision to develop sustainable initiatives. In total, a list of nine drivers were proposed in the
survey. Selected drivers were both external (i.e. establishing company’s green image), or internal
(i.e. pressures coming from company’s internal stakeholders). Once collected the answers
provided by companies, the scope was to investigate whether there was a direct relation between
drivers and companies’ efforts for sustainable practices’ implementation. Once again, it was
decided to perform a dimension reduction analysis on the nine drivers to reduce the
numerousness of the sample. Therefore, an exploratory factor analysis on drivers was conducted
and the output was the identification of three factors of drivers:
190
6. Regulatory drivers (RD)
7. Drivers of image (DI)
8. Stakeholders drivers (SD)
The following table explain how drivers were merged from SPSS to form the factors:
Driver ID Factor
Cronbach's
Alpha
Central and regional governmental environmental
regulations RD1 REGULATOR
Y DRIVERS
(RD) ,640
Avoiding potential costs and liabilities for disposal of
hazardous materials RD2
Table 68 - RD Factor composition
Driver ID Factor Cronbach's
Alpha
Establishing company's green image DI1 DRIVERS OF
IMAGE (DI) ,641 Reacting to competitors' green initiatives DI2
Table 69 - DI Factor composition
Driver ID Factor Cronbach's
Alpha
Pressures coming from customers' environmental
awareness SD1
STAKEHOLDERS’
DRIVERS (SD)
,725
Pressures coming from local communities SD2
Pressures coming from suppliers for the joint
development of environmentally friendly goods SD3
Pressures coming from firm's employees SD4
Pressures coming from firm's shareholders SD5
Table 70 - SD Factor composition
Once obtained the factors, the most intuitive way to detect eventual relationships between
drivers and companies’ decision to dedicate a certain amount of resources to the development of
sustainable resources was to perform an ANOVA analysis on drivers’ factors.
191
The purpose of the ANOVA analysis, is to determine if significant differences exist between two or
more groups. In this case, the groups corresponded with the three clusters (highly capable,
medium capable and shortly capable companies) defined previously.
ANOVA test was performed with the SPSS support. SPSS needed as input for the analysis two
columns of data: one containing the dependent variable (in this case the drivers’ factors) and one
for the grouping variable or independent variable (in this case this variable had three levels: 1,2
and 3, one for each cluster). Before running the analysis, it was fundamental to check that the
ANOVA initial assumptions were respected: the dependent variable is measured on at least an
interval scale and is normally distributed in the population. Therefore, before starting the
analysis, a normality test was performed. In particular, SPSS allow to run two test of normality:
Kolmogorov–Smirnov test and Shapiro-Wilk, the output of the second analysis were considered to
decide whether the sample was normally distributed or not, because the Kolmogorov–Smirnov
test is more indicated for very big sized samples. In this analysis, the general convention of using a
5% significant level is followed. The null hypothesis H0 on which test of normality is built is that
data are normally distributed, the null hypothesis is rejected if the p-value is smaller than or equal
to the level of tolerance of the risk of rejecting a true null hypothesis. Therefore, if the p value
resulted higher than the threshold value the null hypothesis that the data are normally distributed
was accepted, while it the p value was lower than the significant level then the null hypothesis
was rejected. Being all the p values resulted from the Shapiro-Wilk test higher than the threshold
vale, it was concluded that all data were normally distributed.
Once verified the normality assumption, the one-way ANOVA test was performed. Among the
options, SPSS includes the possibility to plot the homogeneity of variance test, this is another
important step to understand how to interpret the results. As homogeneity of variance test, SPSS
propones the Levene’ test, that is founded on the null hypothesis H0 that the variances are
homogenous. Therefore, if the Levene’s test shows a p value higher than the 5% significant level,
than the null hypothesis that the variances are homogenous is rejected, while if the p value is
lower than 0,05 than the null hypothesis is accepted, all the variances are homogeneous. In the
case of drivers, all variances resulted homogenous. At this point the assumptions of normality of
distribution and of homogeneity of variances are both met, so to decide whether at least one
group mean differs from the others, it should be analyzed the regular F-test shown in the ANOVA
results table. The ANOVA calculates the ratio of the actual difference to the difference expected
due to chance alone. This ratio is called the F ratio and it can be compared to an F distribution, in
the same manner as a t ratio is compared to a t distribution. For an F ratio, the actual difference is
192
the variance between groups, and the expected difference is the variance within groups. In other
words, the F-test is based on the null hypothesis H0 that the means of the groups of variables are
equal. Thus, if the p value shown in the final ANOVA table is higher than 0,05, than the null
hypothesis that the means of the groups of variables are equal, conversely if the p value is lower
than the 5% significant level, than the null hypothesis can be rejected. In the case of drivers, in
two cases out of three the p value was higher than the threshold value, while in one case it was
lower. Specifically, for regulatory drivers (RD) and drivers of image (DI), the F-test’s null
hypothesis was rejected, while for stakeholders’ drivers (SD) it resulted that the means of the
groups analyzed were equal. At this point, it was only known that two group means differ
significantly, but to evaluate whether all groups were mutually different, a post-hoc multiple
comparison analysis was needed. After a careful analysis of the alternatives, the Hochberg’s GT2
post-hoc analysis was reputed the most adequate one. The results of the Hochberg’s GT2 post-
hoc analysis conducted on the three drivers’ factors are shown in the following tables. Please note
that the grouping variables for this ANOVA are the three clusters of companies that have been
indicated with numbers from 1 to 3 where:
- 1 = Highly capable companies
- 2 = Medium capable companies
- 3 = Shortly capable companies
Dependent Variable: RD
Hochberg
(I) CLUSTER
Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,38402 ,32366 ,557 -,4121 1,1801
3,00 1,16601* ,36121 ,006 ,2775 2,0545
2,00 1,00 -,38402 ,32366 ,557 -1,1801 ,4121
3,00 ,78199* ,28389 ,024 ,0837 1,4803
3,00 1,00 -1,16601* ,36121 ,006 -2,0545 -,2775
2,00 -,78199* ,28389 ,024 -1,4803 -,0837
Table 71 - ANOVA RD, Clusters 1,2,3
193
Dependent Variable: DI
Hochberg
(I) CLUSTER
Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,05333 ,29957 ,997 -,7902 ,6835
3,00 1,16849* ,33433 ,003 ,3461 1,9908
2,00 1,00 ,05333 ,29957 ,997 -,6835 ,7902
3,00 1,22182* ,26276 ,000 ,5755 1,8681
3,00 1,00 -1,16849* ,33433 ,003 -1,9908 -,3461
2,00 -1,22182* ,26276 ,000 -1,8681 -,5755
Table 72 -ANOVA DI, Clusters 1,2,3
Dependent Variable: SD
Hochberg
(I) CLUSTER
Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,31513 ,34178 ,735 -,5255 1,1558
3,00 ,82253 ,38143 ,102 -,1157 1,7608
2,00 1,00 -,31513 ,34178 ,735 -1,1558 ,5255
3,00 ,50740 ,29978 ,259 -,2300 1,2448
3,00 1,00 -,82253 ,38143 ,102 -1,7608 ,1157
2,00 -,50740 ,29978 ,259 -1,2448 ,2300
Table 73 - ANOVA SD, Clusters 1,2,3
As forecasted by the F-test, there are significant differences in the means of at least two groups,
now thanks to the Hochberg’s GT2 all the differences in the groups means are showed. The first
table (Table) is demonstrating that there are significant differences in the means of cluster one
and three and two and three for what concerned the dependent variable Regulatory Drivers. The
table reported also the mean difference, that is positive between one and three and two and
three, so it can be concluded that the mean of cluster one is higher than the mean of cluster three
and the mean of cluster two is also higher than the mean of cluster three. Similar considerations
can be drawn looking at the second table, even in this case there are significant differences in the
means of cluster one with respect to the means of cluster three and there are significant
differences in the means of cluster two with respect to cluster three. Once again looking at the
mean difference, it is clear that cluster one has a higher mean value with respect to cluster three
and cluster two has higher mean value than cluster three. As expected, there are no significant
194
differences in the clusters’ means for the third factor of drivers: stakeholders’ drivers, indeed all
the p value are lying above the threshold value (0,05), thus the null hypothesis that the groups’
means are equal is accepted.
Based on the previous considerations, the following charts have been developed to graphically
explain the results obtained through the ANOVA analysis on drivers’ factors.
HIGHLY CAPABLE
MEDIUM CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
SHORTLY CAPABLE
MEDIUM CAPABLE
HIGHLY CAPABLE
MEDIUM CAPABLE
RD DI
SD
195
The first two charts, show where the impact of regulatory drivers and drivers of image is higher.
As resulted from the ANOVA analysis, the means of highly capable companies and medium
capable companies are significantly different to those of shortly capable companies for regulatory
drivers and drivers of image. Conversely, for what concerned stakeholders’ drivers, no differences
in groups’ means where detected by SPSS. Therefore, the meaning of the three charts should now
be clear: the sketched red tringle indicates which are the clusters of firms more influenced by that
given driver. It is important to highlight that the conclusion of this analysis, is not that only highly
capable companies and medium capable companies are influenced by regulatory drivers and
drivers of image. Also shortly capable companies are pushed by regulatory drivers to develop
sustainable practices, since regulations is the same for all the companies of the sector. The
conclusion that can be drawn from this analysis is that, for regulatory drivers’ factor and for
stakeholders’ drivers’ factor, companies belonging to highly capable cluster have mean values
that are significantly higher than those of shortly capable companies, but not significantly
different from those of medium capable companies. Medium capable companies have mean
values that are in turn higher than those of shortly capable companies. Therefore, it can be
concluded that regulatory drivers and drivers of image are particularly impacting for those firms
that are already committed with the sustainability issue, but these is not the unique type of
companies interested by the drivers under discussion. For what concerned stakeholders’ drivers
instead, no significant differences were found in the clusters’ mean values, thus it can be said that
stakeholders’ drivers impact on all clusters in the same way.
7.6 Answer to RQ4: The answer to the fourth and last research question is most groundbreaking contribute that this
study brings to the state of art in the field of sustainable supply chain development. As such, it is
also the most articulate passage of the work. The last research question of this thesis was
formulated as follows:
RQ4: How the sustainable strategic fit between the stated strategic role of sustainability and the
actual implemented sustainable practices impacts on the environmental, social and economic
performance of a company?
While strategic fit defined by Chopra and Meindl (2012) indicated the consistency between
customer priorities of competitive strategy and supply chain capabilities specified by the supply
chain strategy, in this thesis the concept of sustainable strategic fit indicates the match between
the declared competitive role of sustainability and the actual commitment of companies in
196
implementing sustainable supply chain practices. This first consideration is also the most
important pillar of this work, as well as the starting point to answer RQ4. After having defined this
concept, it was wondered whether companies could be better defined according to their
sustainable strategic fit. Deepening the work of previous Authors who faced the problem of
companies’ classification on the basis of a given variable (Macchion et al., 2015; Wu and Pagell,
2011), it was assumed that survey’s subjects could be further categorized according to the their
declared competitive role of sustainability. Combining this assumption with the clusters’
classification obtained by dividing companies according to their commitment in implementing
sustainable practices (answer to RQ1), it was assumed to classify companies according to their
sustainable strategic fit or misfit and their commitment in implementing green and social
initiatives.
Considering previous research works and in particular the thesis work that preceded the current
one, there are evidences that the implementation of certain sustainable practices has direct
positive impact on triple bottom line performance. For instance, the preceding thesis concluded
that production management practices such as: use of a waste management system, the use of
recycled raw materials, the use of energy from renewable sources and the realization of
recyclable/reusable packaging, improve internal supply chain costs performance. Purchasing
practices such as: collaborations with suppliers to improve their sustainable performance have a
positive impact on the firm’s green image and reputation. Finally, the adoption of environmental
and social certification, organization of training courses for a correct use and disposal of products
for customers and employees and the sponsorship of green and social initiatives of no-profit
organizations, significantly improve stakeholders’ satisfaction level and corporate green image.
Moreover, in the recent Literature there are plenty of papers offering insight on potential
patterns of supply chain relations for improving environmental performance (Florida, 1996a;
Florida and Davison, 2001; Geffen and Rothenberg, 2000; Green et al., 1996; Handfield et al.,
2002; Sarkis, 1995). Finally, in the lights of the conclusions obtained in the preceding thesis work
and in line with a number of research papers that dealt with the relationships between
implementation of sustainable practices and the evident improvement of corporate performance
(Zhu and Sarkis, 2004; Zhu et al., 2007, Samal, 2008; Zhu et al., 2008), considering also the results
of some scientific studies showing that companies implemented different practices according to
the different competitive role of sustainability in their corporate strategy (Wu and Pagell, 2011;
Cabot et al., 2009), it was reasonable to postulate that: when the sustainable strategic fit between
stated role of sustainability and effective implemented practices is in its optimal condition, then
197
the company experiences the highest level of triple bottom line performance. This assumption led
to the formulation of the following research hypothesis:
Hp1: Companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies.
To validate the previous Hypothesis, multiple analyses have been performed. First, the framework
developed by Chopra and Meindl (2012) has been deeply analyzed. Starting from their original
idea, a new framework was developed to allow the classification of companies based on the
sustainable strategic fit between their stated strategic role of sustainability and the actual
implemented sustainable practices. Then, the classification initially obtained as a result of the
cluster analysis (highly capable companies, medium capable companies and shortly capable
companies), was combined with the information collected through the survey regarding the
competitive role of sustainability (desirable attribute, market qualifier and order winner). In this
way, a matrix with nine cells was built. The matrix, named sustainable strategic fit matrix,
represented a customized version of the strategic fit framework of Chopra and Meindl (2012), as
such it allows to easily identify which are the firms matching the sustainable strategic fit condition
(the ones laying on the matrix’s diagonal). However, to validate the research hypothesis one,
several more steps were necessary. First, it was proved that it is not sufficient to be very good in
implementing sustainable practices to have positive performance improvement. In other words,
an ANOVA analysis between the sustainable strategic fit matrix’s rows was performed to find
whether there were significant differences in mean values. Afterwards, the same type of analysis
was run for matrix’s columns. It was investigated whether there were significant differences in
means between companies with different strategic roles of sustainability. The results of these
analyses showed there wasn’t’ a dominant class of companies over the others for what concerned
performance. Therefore, further analyses were conducted. In particular, at this point the focus of
the analyses move on the matrix’s single cell and an ANOVA analysis between matrix’s cells was
performed. Companies laying on the matrix’s diagonal were those meeting the sustainable
strategic fit condition, thus it was expected that some significant results emerged from their
comparison. It resulted that companies matching the best possible sustainable strategic fit
condition were the best performing ones. At this point it could be concluded that Hypothesis one
was supported: companies that match the optimal sustainable strategic fit condition, are
expected to experience higher performance than all other companies. The following scheme
summarizes the passages of the analysis (Fig. 63).
198
Figure 62 - Steps of the analysis to answer RQ4
7.6.1 Construction of the sustainable strategic fit matrix
During the development of the sustainable strategic fit matrix, many references to the work of
Chopra and Meindl (2012) were made. Chopra and Meindl (2012) defined a concept to indicate
the consistency between customer priorities of competitive strategy and supply chain capabilities
specified by the supply chain strategy and they called it strategic fit. The Authors specified that
strategic fit happens when competitive and supply chain strategies have the same goals, thus a
company may fail because of a lack of strategic fit or because its processes and resources do not
provide the capabilities to execute the desired strategy. Chopra and Meindl (2012) provided a
procedure for the achievement of strategic fit: first, a company should understand the customer
and supply chain uncertainty, then it should focus on its supply chain, finally the firm should
ensure that what the supply chain does well is consistent with target customer’s needs. The
sustainable strategic fit is a similar concept, but is much more related to the sustainable strategy
of a supply chain. It can be defined as the match between the strategic role of sustainability
stated by the company and the effective implemented sustainable practices.
199
The Authors bring the example of strategic fit between demand uncertainty and supply chain
strategy (responsive or efficient). To achieve strategic fit, the greater the implied uncertainty, the
more responsive the supply chain should be. Increasing implied uncertainty from customers and
supply sources is best served by increasing responsiveness from the supply chain. This
relationship is represented by the "zone of strategic fit" illustrated in Fig. 64 For a high level of
performance, companies should move their competitive strategy (and resulting implied
uncertainty) and supply chain strategy (and resulting responsiveness) toward the zone of strategic
fit.
Figure 63 - Strategic fit frameowork (Chopra and Meindl, 2012)
This framework was the starting point to build a new framework customized on the sustainable
strategic fit concept. The zone of strategic fit, became the zone of sustainable strategic fit, while
the axes changed name and became strategic role of sustainability (x axis) and clusters (y axis).
200
Figure 64 - Sustainable strategic fit framework
For the construction of this model, several information collected thanks to the previous analyses
were necessary. The clusters composition developed based on companies’ commitment in
implementing sustainable practices was the first relevant information needed, the declaration of
the strategic role of sustainability was the second important datum. The first one was the results
of the cluster analysis initially performed on factors of practices that resulted in the definition on
three clusters: highly capable companies, medium capable companies and shortly capable
companies. The information regarding the strategic role of sustainability was recovered directly
from the survey, in which companies specified a value ranging from one to six to express their
consideration of sustainability.
Combining these two components, two sustainable strategic fit matrices were obtained: one that
joined clusters’ information with the strategic role of environmental sustainability and one that
joined the clusters’ information with the strategic role of social sustainability (Table).
201
STRATEGIC ROLE OF Environmental SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES PR26
PR29
PR39
PR12
PR14
PR21
PR44
PR45
PR20
PR19
PR46
MEDIUM CAPABLE COMPANIES FOR12
PR1
PR5
PR9
PR15
PR33
PR36
PR37
PR41
PR6
FOR1
PR4
FOR6
PR11
FOR8
FOR9
PR30
PR25
PR42
FOR3
FOR5
FOR10
PR17
FOR11
PR22
PR28
PR43
PR8
PR13
PR18
PR27
PR40
SHORTLY CAPABLE COMPANIES FOR4
PR10
FOR7
PR23
PR31
PR32
PR34
PR35
PR38
PR7
PR24
PR2
PR16
FOR2
PR3
Table 74 - Environmental sustainable strategic fit matrix
STRATEGIC ROLE OF Social SUSTAINABILITY
CLUSTERS 1 2 3 4 5 6
DESIRABLE ATTRIBUTE MARKET QUALIFIER ORDER WINNER
HIGHLY CAPABLE COMPANIES PR20
PR44
PR39
PR45
PR19
PR29
PR21
PR26
PR14
PR46
PR12
MEDIUM CAPABLE COMPANIES PR6
FOR3
FOR5
PR11
FOR10
FOR11
PR22
PR30
FOR12
PR9
PR15
PR33
PR41
PR42
PR8
PR13
PR28
PR43
FOR1
PR4
PR5
FOR6
PR27
PR37
PR25
PR40
PR1
PR18
FOR8
FOR9
PR17
PR36
SHORTLY CAPABLE COMPANIES PR2
FOR2
FOR4
FOR7
PR16
PR23
PR32
PR35
PR7
PR24
PR3
PR10
PR31
PR38
PR34
Table 75 - Social sustainable strategic fit matrix
202
This framework, allowed to classify companies in groups according to their sustainable strategic
fit, or misfit: overall nine groups were defined. As in the framework developed by Chopra and
Meindl (2012), firms laying on the diagonal are those meeting the sustainable strategic fit
condition. Thus, it is respected for highly capable companies declaring that sustainability is an
order winner, medium capable companies declaring that sustainability is a market qualifier and
shortly capable companies stating that sustainability is a desirable attribute. The firms laying
above or under the diagonal are those mismatching the sustainable strategic fit, thus in these
situations we will say that there is a sustainable strategic misfit.
Table 76 - Zone of sustainable fit and misfit
The nine groups of firms classified with this criterion, were named labels. Labels of the matrix, will
be referred to with numbers from 1 to 9:
18. Highly capable companies – sustainability is a desirable attribute
19. Highly capable companies – sustainability is a market qualifier
20. Highly capable companies – sustainability is an order winner
21. Medium capable companies – sustainability is a desirable attribute
22. Medium capable companies – sustainability is a market qualifier
23. Medium capable companies – sustainability is an order winner
203
24. Shortly capable companies – sustainability is a desirable attribute
25. Shortly capable companies – sustainability is a market qualifier
26. Shortly capable companies – sustainability is an order winner
Label three, as expected, is composed by the most active firms. Companies belonging to this label
are overperforming the others in terms of sustainable practices implementation. In the following
charts (Fig. 66), the average values of practices of companies belonging to label three are
compared with the average values of practices of the whole sample of firms. As forecasted,
companies belonging to this label, dedicated in general a higher amount of resources to the
implementation of sustainable practices with respect to the other companies. This is verified for
label three of both matrices (the one referred to strategic role of environmental sustainability and
the one referred to strategic role of social sustainability).
Figure 65 - Mean value of label 3 vs Mean value total sample
204
Companies belonging to label five are modestly performing companies. They recognize
sustainability as a market qualifier and they implement a proportionate level of practices. A
consideration similar to the one made with label three can be drawn even for this second group
of companies. This label is composed by medium capable firms that consider sustainability a
market qualifier. Therefore, one would expect a mildly level of implementation of sustainable
practices and so it is. The following two charts (Fig. 77) show how these companies perform, in
terms of environmental and social practices implementation) with respect to the average of the
total sample.
Figure 66 - Mean value of label 5 vs Mean value total sample
Firms included in label seven are the worst performing companies. They attribute a very little
importance to sustainability and do nothing to improve it. These are the situations in which the
sustainable strategic fit is met. Even in this last case, the average values of practices
implementation of companies belonging to label seven have been plotted to show that they are
generally worst compared to the total sample and this is true for label seven of both matrices (Fig.
68).
Figure 67 - Mean value of label 7 vs Mean value total sample
For companies belonging to labels one, two and four the sustainable strategic fit is not met.
However, they can be considered «virtuous companies» because, even if they don’t recognize
sustainability as an order winner, they implement a significant amount of practices, thus we can
205
reasonably think they are on the right track to include it among their competitive factors soon.
Specifically, label one is formed by companies that put a lot of efforts for the development of
sustainable initiatives, but they don’t recognize sustainability as a competitive strategic factor.
This could be interpreted in different way: these firms are still at an embryonic phase of the
development of a sustainable strategy, so they are not ready to include sustainability among the
corporate competitive factors (i.e. cost, quality, delivery time), but they already start to engage
with green and social measures in order to improve their social position. On the other hand, these
companies could be not interested in declaring their sustainability’s strategic level, anyway they
could be pretty concerned about environmental issue, thus they actively work to bring their
contribution. Similar considerations can be drawn for highly capable companies that believed
sustainability is a market qualifier (label two). These firms are already oriented towards a more
coherent position: they devote many resources for the implementation of sustainable initiatives,
however they consider sustainability as a necessary condition to compete on the market, not the
competitive advantage that allow to win bids. Even in this case, companies could be on the right
track to transform sustainability in a future order winner characteristic, however, currently, they
are underestimating its importance. Finally, firms laying in label four could still be considered
virtuous companies, as they spend medium efforts for the sustainable practices’ development,
but they have very low consideration of sustainability as a strategic factor. Here again there is a
sustainable strategic misfit between the role of sustainability in corporate strategy and the level
of implementation of green and social practices.
For companies belonging to labels six, eight and nine the sustainable strategic fit is not met
neither. Differently to the previous situation these companies are overestimating the role of
sustainability as they perform very little when implementing sustainable practices. Thus, we can
define these companies as «vicious companies». Label six, is composed by firms overestimating
the strategic position of sustainability. These companies indeed, are modestly performing in
terms of sustainable practices’ implementation, but they declare that sustainability is an order
winner to them. Again, there is a misfit, however this might be the case of companies that are
progressively incrementing their efforts towards the implementation of sustainable practices, but
they are still at a work-in-progress phase. Therefore, even if they are listed within the vicious
companies, in the mid-term they could develop a good level of sustainable practices. Label eight
include firms that are poorly interested in implementing sustainable practices, but that consider
sustainability a market qualifier. These subjects are slightly overestimating the role of
sustainability in their business strategy, as commented for label four, these companies are lacking
206
the sustainable strategic fit condition, however, if they resize their sustainability’s strategic
position declaration, or they increase the efforts dedicated to the development of sustainable
practices, they could fit in the fifth or seventh labels. Finally, the worst situation possible, it the
one of firms stating that sustainability is an order winner, but that are very poorly performing in
terms of sustainable practices’ implementation. This could be the case of companies that exploit
sustainability for marketing purposes: for instance, they could create very effective advertising
campaigns declaring sustainability as their corporate mission, but concretely they do nothing to
realize those slogans. The positive aspect, is that from the analysis performed, only one company
for both matrices matched this condition. This is an encouraging remark, as it indicates that in
general companies avoid situations of strong negative misfit.
7.6.2 Factor analysis on performance
Once the labels have been formed and deeply analyzed, the relationship between the sustainable
strategic fit, or misfit, and the triple bottom line corporate performance can be investigated.
The survey’s fifth part, included a list of triple bottom line performance (environmental, social and
economic). Firms were asked to indicate how much these performance had improved with
respect to the market average in the last year. In total, sixteen performance were listed in the
questionnaire. Since they were attributable to the triple bottom line pillars, performance were
already preemptively divided in subgroups: environmental performance, social performance and
economic performance. However, a further dimension reduction analysis was performed to
reduce the sample examined. An exploratory factor analysis on performance was run, and the
result show that all the sixteen performance could be well explained by five factors:
6. Productive performance (PP)
7. Service performance (PSE)
8. Environmental performance (PA)
9. Social performance (PS)
10. Performance of image (PI)
The following tables show how SPSS synthetized all performance into five factors:
207
Performance ID Factor Cronbach's
Alpha
Productivity of the production process PP1 PRODUCTIVE
PERFORMANCE
(PP) ,694 Manufacturing costs PP2
Raw materials purchasing cost PP3
Table 77 - PP Factor composition
Performance ID Factor Cronbach's
Alpha
Transport costs PSE1
SERVICE
PERFORMANCE
(PSE) ,748
Warranty costs PSE2
Cost of scraps/reworks PSE3
Inventory costs PSE4
Table 78 - - PSE Factor composition
Performance ID Factor Cronbach's
Alpha
Energy, water and materials consumption PA1
ENVIRONMENTAL
PERFORMANCE
(PA) ,674
Waste disposing costs PA2
Cost for non-compliance to environmental law and
regulations PA3
Emissions of CO2 and other hazardous and / or
polluting materials PA4
Table 79 - - PA Factor composition
Performance ID Factor Cronbach's
Alpha
Workers satisfaction PS1 SOCIAL
PERFORMANCE
(PS) ,699 Health and safety conditions PS2
Table 80 - PS Factor composition
208
Performance ID Factor Cronbach's
Alpha
Customer satisfaction PI1
PERFORMANCE
OF IMAGE (PI) ,636
Local communities’ satisfaction PI2
Sustainable image/reputation PI3
Table 81 - PI Factor composition
7.6.3 ANOVA analysis on the sustainable strategic fit matrix’s
rows and columns
Once reduced the dimension of the performance’s answers sample, some further analyses could
be performed. Initially, the sustainable strategic fit matrix was analyzed by rows and by columns.
Even if this specific analysis is not directly providing an answer to RQ4, it contributes to correctly
define the boarders of the analysis. In particular, the following analyses have been run with the
aim to prove that it is not sufficient to declare that sustainability is an order winner to obtain
good performance, neither it is enough to devote a huge amount of resources to the
implementation of sustainable practices to get positive results. Despite this specific ANOVA
analysis was not included in a research question, it was still meaningful as it proves that in no
other conditions, except those of optimal sustainable strategic fit, the performance’s
improvement is maximized.
Once tested that all data very normally distributed and once interpreted the result of the Levene’s
test, the Hochberg’s GT2 post-hoc analysis was selected as the most appropriate way to evaluate
multiple comparisons between groups (in this case, the three clusters). The ANOVA test was
performed for all the five factors of performance with respect to the three clusters of companies,
the following charts show the results obtained for each performance’s factor analysis. Please note
that the grouping variables for this ANOVA are the three clusters of companies that have been
indicated with numbers from 1 to 3 where:
- 1 = Highly capable companies
- 2 = Medium capable companies
- 3 = Shortly capable companies
209
Dependent Variable: PA
Hochberg
(I) CLUSTER
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,84991* ,33517 ,041 ,0255 1,6743
3,00 ,82606 ,38067 ,099 -,1103 1,7624
2,00 1,00 -,84991* ,33517 ,041 -1,6743 -,0255
3,00 -,02385 ,30008 1,000 -,7620 ,7143
3,00 1,00 -,82606 ,38067 ,099 -1,7624 ,1103
2,00 ,02385 ,30008 1,000 -,7143 ,7620
Table 82 - ANOVA PA: Clusters 1,2,3
Dependent Variable: PS
Hochberg
(I) VAR00121
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,20871 ,29719 ,861 -,9397 ,5223
3,00 -,16171 ,37396 ,962 -1,0816 ,7581
2,00 1,00 ,20871 ,29719 ,861 -,5223 ,9397
3,00 ,04700 ,39315 ,999 -,9200 1,0140
3,00 1,00 ,16171 ,37396 ,962 -,7581 1,0816
2,00 -,04700 ,39315 ,999 -1,0140 ,9200
Table 83 - ANOVA PS: Clusters 1,2,3
Dependent Variable: PI
Hochberg
(I) CLUSTER
Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,41832 ,33482 ,515 -,4053 1,2419
3,00 ,97964* ,38028 ,037 ,0443 1,9150
2,00 1,00 -,41832 ,33482 ,515 -1,2419 ,4053
3,00 ,56131 ,29977 ,185 -,1760 1,2987
3,00 1,00 -,97964* ,38028 ,037 -1,9150 -,0443
2,00 -,56131 ,29977 ,185 -1,2987 ,1760
Table 84- ANOVA PI: Clusters 1,2,3
210
Dependent Variable: PP
Hochberg
(I) CLUSTER
Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,98486* ,32894 ,012 ,1758 1,7940
3,00 ,88721 ,37359 ,061 -,0317 1,8061
2,00 1,00 -,98486* ,32894 ,012 -1,7940 -,1758
3,00 -,09765 ,29450 ,982 -,8220 ,6267
3,00 1,00 -,88721 ,37359 ,061 -1,8061 ,0317
2,00 ,09765 ,29450 ,982 -,6267 ,8220
Table 85- ANOVA PP: Clusters 1,2,3
Dependent Variable: PSE
Hochberg
(I) CLUSTER
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 1,18759* ,31484 ,001 ,4132 1,9620
3,00 ,59194 ,35758 ,277 -,2876 1,4715
2,00 1,00 -1,18759* ,31484 ,001 -1,9620 -,4132
3,00 -,59565 ,28187 ,112 -1,2890 ,0977
3,00 1,00 -,59194 ,35758 ,277 -1,4715 ,2876
2,00 ,59565 ,28187 ,112 -,0977 1,2890
Table 86 - ANOVA PSE: Clusters 1,2,3
The results of the post-hoc test clearly show between which clusters there are significant
differences, moreover looking at the mean difference, it is also possible to note which is the
cluster with the higher performance’s factor mean. Let’ start from the analysis on the
environmental performance (PA), the ANOVA analysis highlighted that there is a significant
difference for this variable between cluster one and cluster two (the p value is lower than the
significant level 0,05) and specified that cluster one has higher mean values of environmental
performance than cluster two. For what concerns social performance (PS), instead, ANOVA
showed that no significant differences in means existed between clusters. Looking at the results
of the analysis on performance of image (PI), is evident that significant differences between the
first and the last cluster (highly capable companies and shortly capable companies) exist,
specifically cluster one has higher value of this performance with respect to cluster three.
Productive performance (PP) means are particularly different between cluster one and three and
211
between cluster one and two. In particular, the values of this performance for highly capable
companies are significantly higher than the values of the other two clusters. Finally, for service
performance (PSE), SPSS marked a significant difference between cluster one and two. These
considerations are graphically explained by the following matrix (Table).
Figure 68 - results of ANOVA Clusters 1,2,3
It is notable that some performance are higher in the first cluster with respect to the third cluster,
as it cluster one is composed by companies devoting a significant amount of resources to the
development of sustainable strategy, while the third cluster is formed by shortly capable
companies. However, it is not possible to conclude that performance of the first cluster are
absolutely higher than other two clusters. For example, performance of image are significantly
different between cluster one and three, but no differences are found in the means of cluster one
and two. Finally, it is more complicated to comment the change in economic performance such as
the productive performance and the service performance, as it cannot be affirmed that the
differences in mean of these two variables are directly related with the companies’ ability to
212
implement sustainable practices. Thus, it can only be observed that there is a significant
difference in mean only between cluster one and two for what concern productive performance
and performance of service.
A similar analysis has been performed with reference to the strategic role of social and
environmental sustainability. Thus, the ANOVA analysis has been performed on the sustainable
strategic fit matrix’s columns in this case. The two aspects of sustainability were treated
separately to keep and valorize the different importance that companies attributed to them.
Therefore, an ANOVA analysis on the environmental performance factor (PA) was run specifically
for the strategic role of environmental sustainability (desirable attribute, market qualifier, order
winner), while an ad-hoc ANOVA analysis on social performance factor (PS) was performed for
strategic role of social sustainability. Performance of image factor, productive performance factor
and service performance factor instead were analyzed with respect to both aspect of
sustainability (environmental and social). Once again, the ANOVA assumptions were respected
and the Hochberg’s GT2 post-hoc test was selected. Three levels of sustainability represent the
grouping variables of the ANOVA test and have been codified with the number ranging from 1 to
3 where:
- 1 = Desirable Attribute
- 2 = Market Qualifier
- 3 = Order Winner
The following charts show the results of the conducted ANOVA analyses.
Dependent Variable: PA
Hochberg
(I) RSS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,02875 ,26619 ,999 -,6835 ,6260
3,00 -1,12100* ,34707 ,006 -1,9747 -,2673
2,00 1,00 ,02875 ,26619 ,999 -,6260 ,6835
3,00 -1,09225* ,34707 ,008 -1,9459 -,2386
3,00 1,00 1,12100* ,34707 ,006 ,2673 1,9747
2,00 1,09225* ,34707 ,008 ,2386 1,9459
Table 87- ANOVA PA: Strategic Role of Environmental Sustainability 1,2,3
213
Dependent Variable: PI
Hochberg
(I) RSS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,22208 ,26673 ,790 -,8782 ,4340
3,00 -1,17258* ,34778 ,004 -2,0280 -,3171
2,00 1,00 ,22208 ,26673 ,790 -,4340 ,8782
3,00 -,95050* ,34778 ,025 -1,8059 -,0951
3,00 1,00 1,17258* ,34778 ,004 ,3171 2,0280
2,00 ,95050* ,34778 ,025 ,0951 1,8059
Table 88 ANOVA PI: Strategic Role of Environmental Sustainability 1,2,3
Dependent Variable: PP
Hochberg
(I) RSS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,34458 ,27429 ,511 -,3301 1,0193
3,00 -,66783 ,35763 ,186 -1,5475 ,2118
2,00 1,00 -,34458 ,27429 ,511 -1,0193 ,3301
3,00 -1,01242* ,35763 ,019 -1,8921 -,1327
3,00 1,00 ,66783 ,35763 ,186 -,2118 1,5475
2,00 1,01242* ,35763 ,019 ,1327 1,8921
Table 89-ANOVA PP: Strategic Role of Environmental Sustainability 1,2,3
Dependent Variable:
Hochberg PSE
(I) RSS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,56125 ,28255 ,147 -,1337 1,2562
3,00 ,00025 ,36840 1,000 -,9059 ,9064
2,00 1,00 -,56125 ,28255 ,147 -1,2562 ,1337
3,00 -,56100 ,36840 ,346 -1,4672 ,3452
3,00 1,00 -,00025 ,36840 1,000 -,9064 ,9059
2,00 ,56100 ,36840 ,346 -,3452 1,4672
Table 90 -ANOVA PSE: Strategic Role of Environmental Sustainability 1,2,3
214
The first chart shows that for environmental performance factor, there are significant differences
between companies that consider environmental sustainability as a desirable attribute and those
considering it an order winner and between firms believing environmental sustainability is a
market qualifier and those believing it is an order winner, while no significant differences were
found between group two and three. Identical considerations can be drawn for performance of
image factor (PI). Group three has higher mean values than group one and group two has higher
mean values than group one, but no differences in mean values are found between group two
and three. For what concerns productive performance factor (PP), SPSS shows differences only
between group two and three, where group three (environmental sustainability is an order
winner) obtained higher values than group two (environmental sustainability is a market
qualifier). No significant differences in means were found for service performance factor (PSE)
between the three groups analyze.
Dependent Variable: PS
Hochberg
(I) RSS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,20871 ,29719 ,861 -,9397 ,5223
3,00 -,16171 ,37396 ,962 -1,0816 ,7581
2,00 1,00 ,20871 ,29719 ,861 -,5223 ,9397
3,00 ,04700 ,39315 ,999 -,9200 1,0140
3,00 1,00 ,16171 ,37396 ,962 -,7581 1,0816
2,00 -,04700 ,39315 ,999 -1,0140 ,9200
Table 91 -ANOVA PS: Strategic Role of Social Sustainability 1,2,3
Dependent Variable: PI
Hochberg
(I) RSS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,71300* ,27582 ,037 -1,3914 -,0346
3,00 -,80400 ,34707 ,071 -1,6577 ,0497
2,00 1,00 ,71300* ,27582 ,037 ,0346 1,3914
3,00 -,09100 ,36488 ,992 -,9885 ,8065
3,00 1,00 ,80400 ,34707 ,071 -,0497 1,6577
2,00 ,09100 ,36488 ,992 -,8065 ,9885
Table 92 -ANOVA PI: Strategic Role of Social Sustainability 1,2,3
215
Dependent Variable: PP
Hochberg
(I) RSS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,47514 ,29086 ,287 -1,1906 ,2403
3,00 -,21764 ,36599 ,910 -1,1179 ,6826
2,00 1,00 ,47514 ,29086 ,287 -,2403 1,1906
3,00 ,25750 ,38477 ,877 -,6889 1,2039
3,00 1,00 ,21764 ,36599 ,910 -,6826 1,1179
2,00 -,25750 ,38477 ,877 -1,2039 ,6889
Table 93 - ANOVA PP: Strategic Role of Social Sustainability 1,2,3
Dependent Variable: PSE
Hochberg
(I) RSS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,09879 ,29783 ,982 -,8314 ,6338
3,00 ,06271 ,37476 ,998 -,8591 ,9845
2,00 1,00 ,09879 ,29783 ,982 -,6338 ,8314
3,00 ,16150 ,39399 ,968 -,8076 1,1306
3,00 1,00 -,06271 ,37476 ,998 -,9845 ,8591
2,00 -,16150 ,39399 ,968 -1,1306 ,8076
Table 94 - ANOVA PSE: Strategic Role of Social Sustainability 1,2,3
The last four charts show the results of ANOVA analysis conducted between companies believing
social sustainability was a desirable attribute (1) those believing social sustainability was a market
qualifier (2) and those considering it an order winner (3). Only for performance of image
significant difference in mean values were found, specifically it resulted that group three has
higher mean values than group one and that group two has higher mean values than group one.
For social performance factor (PS), productive performance (PP) and service performance (PSE) no
significant differences were found between the three groups. The following matrices graphically
represent all the considerations made.
216
Figure 69 - Results of ANOVA: Strategic Role of Environmental Sustainability 1,2,3
217
Figure 70- Results of ANOVA: Strategic Role of Social Sustainability 1,2,3
Having analyzed both the matrices, some considerations can be drawn. For what concern
performance of image factor (PI), it is clear that is higher for those companies considering
sustainability an order winner (both environmental and social). Also for firms considering
sustainability a market qualifier this performance is significantly different from those that
considered it a desirable attribute. Environmental performance are significantly different between
companies believing environmental sustainability is an order winner and between those
considering it a desirable attribute. Significant differences in mean values for this performance
between firms affirming it is a market qualifier and those stating it is a desirable attribute exist.
However, no conclusions can be drawn for social performance, as it resulted that there are no
significant differences in mean values between the three groups.
Having made said this, some final remarks can be made. There are statistical evidences that
performance are different between the three clusters of companies: highly capable, medium
capable, shortly capable and between companies declaring different strategic role of
218
sustainability: desirable attribute, market qualifier and order winner. However, it is not possible
to affirm that, in general, performance of highly capable companies are the highest, as, by
contrast, it is not said that performance of shortly capable companies are the worst. The same
considerations can be drawn for companies that define sustainability as an order winner or a
desirable attribute. Therefore, it is not sufficient be very efficient in implementing sustainable
practices to get the maximum results, neither it is enough declaring that sustainability is an order
winner to obtain the best performance possible.
7.6.4 ANOVA analysis on sustainable strategic fit matrix’s cells
To find which are the conditions under which the highest performance are reached, the point of
view of the ANOVA test should change. In particular, it was decided to analyze if significant
differences in mean values existed between matrix’ cells. Each cell, previously named label,
included a different group of companies. Companies belonging to different labels have different
characteristics: for instance, the firms laying on the matrix’s diagonal were those meeting the
sustainable strategic fit condition, while those outstanding the diagonal were lacking the
sustainable strategic fit condition. When the sustainable strategic fit exists, it means that the
stated competitive role of sustainability and the commitment for sustainable practices
implementation are aligned (i.e. highly capable companies – sustainability is an order winner,
medium capable companies – sustainability is a market qualifier, shortly capable companies –
sustainability is a desirable attribute). In the lights of this observation, considering also the results
obtained in the previous thesis and from the recent Literature (Florida, 1996a; Florida and
Davison, 2001; Geffen and Rothenberg, 2000; Green et al., 1996; Handfield et al., 2002; Sarkis,
1995) that both confirm that there is a relationship between sustainable supply chain practices
implementation and positive improvement in corporate performance, it is reasonable to expect
that those companies matching the optimal condition of sustainable strategic fit (highly capable
companies – sustainability is an order winner) would obtain the best performance improvement.
In other words, the following analyses are aimed at validate research hypothesis 1 that
postulated: companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies
From the previous considerations, it emerged that cells belonging to the matrix’ diagonal are the
most interesting to analyze, as they represent the zone of sustainable strategic fit. Therefore, as
first thing ANOVA analysis on the three labels belonging to the diagonal of the matrices have been
run.
219
Once again the factors of performance were the dependent variable of the analysis, while the
independent variables were label three, label five and label seven. Based on considerations
drawn, it was agreed that there were not enough information regarding the companies’
competitive factors to state the changes observable in productive performance (PP) and service
performance (PSE) were a consequence of the firms’ behavior towards sustainability. In the
survey indeed, it was only asked to judge sustainability as a competitive factor, but the
importance of other strategic factors was not thorough. Therefore, the improvement of economic
performance such as productive performance or service performance could derive from
competitive factors that are not sustainability, such as: cost, quality, delivery time. For these
reasons, no further analyses on productive performance and service performance were run.
Dependent Variable: PA
Hochberg
(I) LABELS DIAGONALE env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
3,00 5,00 1,59733 ,62750 ,051 -,0032 3,1979
7,00 1,54364 ,64078 ,048 -,0908 3,1781
5,00 3,00 -1,59733 ,62750 ,051 -3,1979 ,0032
7,00 ,05370 ,33090 ,998 -,8977 ,7903
7,00 3,00 -1,54364 ,64078 ,048 -3,1781 ,0908
5,00 -,05370 ,33090 ,998 -,7903 ,8977
Figure 71 - ANOVA PA: Diagonal Labels 1,2,3
Dependent Variable: PI
Hochberg
(I) LABELS DIAGONALE env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
3,00 5,00 2,10133* ,68456 ,015 ,3552 3,8474
7,00 2,83545* ,69905 ,001 1,0524 4,6185
5,00 3,00 -2,10133* ,68456 ,015 -3,8474 -,3552
7,00 ,73412 ,36099 ,147 -,1866 1,6549
7,00 3,00 -2,83545* ,69905 ,001 -4,6185 -1,0524
5,00 -,73412 ,36099 ,147 -1,6549 ,1866
Figure 72 - ANOVA PI (E): Diagonal Labels 1,2,3
220
These first charts, show the results of the ANOVA analysis conducted on label three, five and
seven of the matrix combining strategic role of environmental sustainability. The ANOVA test
indagated the mean differences between the three groups for environmental performance (PA),
performance of image (PI). The results clearly show that label three is composed by companies
that are overperforming the others for what concern both factors. In particular, looking at the
mean difference, it is evident that performance of image of label three are much higher than
those of the other two labels. This is noteworthy, because it proves that companies that are
deeply engaged with sustainability have not only high internal results, but also positive evidence
in the external environment.
Dependent Variable: PS
Hochberg
(I) LABELS DIAGONALE soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
3,00 5,00 ,33000 ,71885 ,955 -1,5205 2,1805
7,00 ,90733 ,73309 ,530 -,9798 2,7945
5,00 3,00 -,33000 ,71885 ,955 -2,1805 1,5205
7,00 ,57733 ,47683 ,548 -,6501 1,8048
7,00 3,00 -,90733 ,73309 ,530 -2,7945 ,9798
5,00 -,57733 ,47683 ,548 -1,8048 ,6501
Figure 73 - ANOVA PS: Diagonal Labels 1,2,3
Dependent Variable: PI
Hochberg
(I) LABELS DIAGONALE soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
3,00 5,00 ,68000 ,56723 ,556 -,7802 2,1402
7,00 1,62767* ,57847 ,030 ,1385 3,1168
5,00 3,00 -,68000 ,56723 ,556 -2,1402 ,7802
7,00 ,94767 ,37626 ,056 -,0209 1,9163
7,00 3,00 -1,62767* ,57847 ,030 -3,1168 -,1385
5,00 -,94767 ,37626 ,056 -1,9163 ,0209
Figure 74 ANOVA PI (S): Diagonal Labels 1,2,3
These charts, show the results of the ANOVA analysis performed on labels three, five and seven of
the second matrix, the one combining the competitive role of social sustainability and companies’
clusters. The ANOVA test run for these three groups of companies, investigated whether there
221
were differences between them for social performance (PS) and performance of image (PI). While
the statistical analysis didn’t find any significant differences in social performance mean values
between the three labels, ANOVA analysis signaled that performance of image of label three are
higher than those of label seven. Companies belonging to label five are also overperforming firms
laying in label seven. These considerations fit with the conclusions drawn for the previously
analyzed labels.
Figure 75 - Results of ANOVA: Diagonal Labels 1,2,3
These analyses focused on the diagonal of the matrices evidenced how, almost in all cases, label
three is performing better than the other two labels (five and seven). Companies belonging to
label three are those matching the optimal sustainable strategic fit: highly capable companies and
sustainability as order winner. Firms belonging to label five (medium capable companies and
sustainability as a market qualifier) instead, showed no significant differences in mean values with
cluster seven for environmental performance, and social performance, while their performance of
image are only slightly better than those of companies laying in cluster seven. In all the analyzed
222
cases firms that match the worst condition of sustainable strategic fit (shortly capable companies
and sustainability is a desirable attribute) have the worst performance both in terms of
environmental performance and performance of image.
At this point, it has been proved that companies matching the best sustainable strategic fit
condition experience better performance (environmental performance and performance of
image) with respect to firms that match the sustainable strategic fit, but not in its highest form.
The results of this analysis were meaningful as they prove that it is not sufficient to meet the
sustainable strategic fit to have good performance results, it is necessary that the optimal
sustainable strategic fit condition is met in order to see significant advantages.
Having said this, the last step necessary to validate Hypothesis one, was to prove that companies
matching the sustainable strategic fit, in its highest form, are overperforming also companies that
are mismatching the sustainable strategic fit condition, thus the ones outstanding the matrix’s
diagonal. Therefore, a further ANOVA analysis on performance was performed to see if there
were significant differences in mean values of eight of the nine labels. The ninth label indeed was
composed by only one firm; thus, it was not suitable for an ANOVA analysis. Even in this case the
initial assumption of the ANOVA test of normality of distribution and homogeneity of variances
were met. The significant results obtained from the analysis are shown in the following tables, the
entire table resulting from SPSS are available in the ANNEX.
Dependent Variable: PA
Hochberg
(I) LABELS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,90667 ,61655 ,977 -1,1170 2,9303
3,00 -,00333 ,79596 1,000 -2,6159 2,6092
4,00 1,62167 ,57397 ,016 -,2623 3,5056
5,00 1,59400 ,55146 ,014 -,2160 3,4040
6,00 ,41095 ,60169 1,000 -1,5640 2,3859
7,00 1,54030 ,56792 ,021 -,3238 3,4044
8,00 1,04000 ,71193 ,979 -1,2967 3,3767
3,00 1,00 ,00333 ,79596 1,000 -2,6092 2,6159
2,00 ,91000 ,71193 ,996 -1,4267 3,2467
4,00 1,62500 ,67539 ,040 -,5918 3,8418
5,00 1,59733 ,65636 ,038 -,5570 3,7517
6,00 ,41429 ,69910 1,000 -1,8803 2,7089
223
7,00 1,54364 ,67026 ,048 -,6563 3,7436
8,00 1,04333 ,79596 ,994 -1,5692 3,6559
4,00 1,00 -1,62167 ,57397 ,016 -3,5056 ,2623
2,00 -,71500 ,45026 ,950 -2,1929 ,7629
3,00 -1,62500 ,67539 ,040 -3,8418 ,5918
5,00 -,02767 ,35596 1,000 -1,1960 1,1407
6,00 -1,21071 ,42969 ,017 -2,6211 ,1996
7,00 -,08136 ,38097 1,000 -1,3318 1,1691
8,00 -,58167 ,57397 1,000 -2,4656 1,3023
5,00 1,00 -1,59400 ,55146 ,014 -3,4040 ,2160
2,00 -,68733 ,42118 ,936 -2,0698 ,6951
3,00 -1,59733 ,65636 ,038 -3,7517 ,5570
4,00 ,02767 ,35596 1,000 -1,1407 1,1960
6,00 -1,18305 ,39911 ,012 -2,4931 ,1270
7,00 -,05370 ,34612 1,000 -1,1898 1,0824
8,00 -,55400 ,55146 1,000 -2,3640 1,2560
6,00 1,00 -,41095 ,60169 1,000 -2,3859 1,5640
2,00 ,49571 ,48510 1,000 -1,0965 2,0879
3,00 -,41429 ,69910 1,000 -2,7089 1,8803
4,00 1,21071 ,42969 ,017 -,1996 2,6211
5,00 1,18305 ,39911 ,012 -,1270 2,4931
7,00 1,12935 ,42157 ,023 -,2544 2,5131
8,00 ,62905 ,60169 1,000 -1,3459 2,6040
7,00 1,00 -1,54030 ,56792 ,021 -3,4044 ,3238
2,00 -,63364 ,44252 ,983 -2,0861 ,8188
3,00 -1,54364 ,67026 ,048 -3,7436 ,6563
4,00 ,08136 ,38097 1,000 -1,1691 1,3318
5,00 ,05370 ,34612 1,000 -1,0824 1,1898
6,00 -1,12935 ,42157 ,023 -2,5131 ,2544
8,00 -,50030 ,56792 1,000 -2,3644 1,3638
Table 95 - ANOVA PA: Labels 1 - 9
Dependent Variable: PI
Hochberg
(I) LABELS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
2,00 1,00 -,61833 ,60681 1,000 -2,6100 1,3734
3,00 -2,18167 ,70068 ,047 -4,4815 ,1182
4,00 -,02267 ,44315 1,000 -1,4772 1,4319
5,00 -,08033 ,41453 1,000 -1,4409 1,2803
6,00 -,46738 ,47743 1,000 -2,0345 1,0997
7,00 ,65379 ,43553 ,972 -,7757 2,0833
224
8,00 ,32833 ,60681 1,000 -1,6634 2,3200
3,00 1,00 1,56333 ,78339 ,724 -1,0080 4,1346
2,00 2,18167 ,70068 ,047 -,1182 4,4815
4,00 2,15900 ,66473 ,055 -,0228 4,3408
5,00 2,10133 ,64600 ,050 -,0190 4,2217
6,00 1,71429 ,68806 ,034 -,5441 3,9727
7,00 2,83545* ,65967 ,002 ,6702 5,0007
8,00 2,51000 ,78339 ,042 -,0613 5,0813
5,00 1,00 -,53800 ,54275 1,000 -2,3194 1,2434
2,00 ,08033 ,41453 1,000 -1,2803 1,4409
3,00 -2,10133 ,64600 ,050 -4,2217 ,0190
4,00 ,05767 ,35034 1,000 -1,0922 1,2076
6,00 -,38705 ,39281 1,000 -1,6764 ,9023
7,00 ,73412 ,34065 ,595 -,3840 1,8522
8,00 ,40867 ,54275 1,000 -1,3728 2,1901
6,00 1,00 -,15095 ,59218 1,000 -2,0947 1,7928
2,00 ,46738 ,47743 1,000 -1,0997 2,0345
3,00 -1,71429 ,68806 ,034 -3,9727 ,5441
4,00 ,44471 ,42290 1,000 -,9434 1,8328
5,00 ,38705 ,39281 1,000 -,9023 1,6764
7,00 1,12117 ,41491 ,022 -,2407 2,4830
8,00 ,79571 ,59218 ,992 -1,1480 2,7394
7,00 1,00 -1,27212 ,55895 ,497 -3,1068 ,5625
2,00 -,65379 ,43553 ,972 -2,0833 ,7757
3,00 -2,83545* ,65967 ,002 -5,0007 -,6702
4,00 -,67645 ,37496 ,855 -1,9072 ,5543
5,00 -,73412 ,34065 ,595 -1,8522 ,3840
6,00 -1,12117 ,41491 ,022 -2,4830 ,2407
8,00 -,32545 ,55895 1,000 -2,1601 1,5092
8,00 1,00 -,94667 ,70068 ,992 -3,2465 1,3532
2,00 -,32833 ,60681 1,000 -2,3200 1,6634
3,00 -2,51000 ,78339 ,042 -5,0813 ,0613
4,00 -,35100 ,56491 1,000 -2,2052 1,5032
5,00 -,40867 ,54275 1,000 -2,1901 1,3728
6,00 -,79571 ,59218 ,992 -2,7394 1,1480
7,00 ,32545 ,55895 1,000 -1,5092 2,1601
Table 96 - ANOVA PI (E): Labels 1 - 9
These first two charts show the differences in mean values of labels of the matrix reporting on the
x axis the strategic role of environmental sustainability (the first matrix introduced). The first table
explains the differences in the mean values of the labels for what concern environmental
sustainability. Label one (highly capable companies and environmental sustainability is a desirable
attribute) shows higher environmental performance with respect to the fourth, the fifth and the
225
seventh label. Label one has been presented as a promising set of companies, that likely will
improve their consideration towards sustainability in the near future and are supposed to move in
the second and hopefully in the third label of the matrix. Currently, they are not performing as
well as companies laying in the second and in the third labels, however they have higher values in
mean of environmental performance with respect to firms that have the same consideration of
strategic role of environmental sustainability, but invest fewer resources in the development of
sustainable practices. Label six is performing better than label five, four and seven for what
concerns environmental performance. In other words, medium capable companies that believe
sustainability is an order winner have higher performance than medium capable companies that
believe sustainability is a market qualifier or a desirable attribute and they have also higher
environmental performance than shortly capable companies that believe environmental
sustainability is a desirable attribute. This is reasonable, as firms belonging to label six and slightly
missing the sustainable strategic fit condition, as they overestimate the strategic role of
sustainability with respect to their actual level of sustainable practices implementation. However,
their higher consideration of environmental sustainability allows them to reach higher
environmental performance with respect to companies that, putting the same efforts in
implementing sustainable initiatives, believe that sustainability is not a strategic competitive
factor. Clearly these companies have also higher environmental performance than those laying in
label seven that, not only believe sustainability is a nice to have, but also devote very few efforts
to the development of green and social practices. Finally, also label three has higher
environmental performance than label four, five and seven. Label three is composed by
companies that consider environmental sustainability an order winner and they coherently
implement a consistent amount of sustainable practices. As expected, they have higher
environmental performance than companies that dedicate fewer efforts to the implementation of
social and environmental practices and believe sustainability is a non-strategic factor. The last
interesting consideration that can be drawn looking at the mean difference column of the first
matrix, is that overall label three has the higher mean values of the all other labels, thus
environmental performance of companies belonging to label three are in absolute the best.
The second matrix shows the difference in mean values between labels of performance of image
(PI). In this case, the difference in mean values of label six with respect to label five and seven are
highlighted. Medium capable companies declaring that environmental sustainability is an order
winner have reasonably higher performance of image than companies that devote the same
amount of time and efforts to the development of sustainable practices, but consider
226
environmental sustainability a less important factor, because the firsts communicate to their
external stakeholders a strategic role of sustainability. Clearly, they are also outperforming shortly
capable companies that declare sustainability is a desirable attribute. Finally, the ANOVA analysis
highlights that the performance of image of label three are higher than labels two, five, seven and
eight. This is also logically derived from the considerations made on label six, as companies
belonging to label three not only communicate that environmental sustainability is an order
winner, but they also actively operate to improve their sustainable initiatives. Even for
performance of image is possible to conclude, looking at the mean difference column, that label
three is the one obtaining the higher performance of all labels analyzed.
Dependent Variable: PS
Hochberg
(I) LABELS soc Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 1,70000 ,61239 ,184 -,3100 3,7100
3,00 -,50667 ,79059 1,000 -2,0883 3,1016
4,00 2,12567* ,57010 ,064 ,2544 3,9969
5,00 2,38333* ,54774 ,190 ,5855 4,1812
6,00 1,94524 ,59763 ,054 -,0164 3,9068
7,00 1,54848 ,56409 ,080 -,3030 3,4000
8,00 1,93667 ,70713 ,200 -,3843 4,2576
3,00 1,00 ,50667 ,79059 1,000 -3,1016 2,0883
2,00 1,19333 ,70713 ,914 -1,1276 3,5143
4,00 1,61900 ,67084 ,392 -,5829 3,8209
5,00 1,87667 ,65194 ,144 -,2632 4,0165
6,00 1,43857 ,69438 ,664 -,8406 3,7177
7,00 1,04182 ,66574 ,957 -1,1433 3,2270
8,00 1,43000 ,79059 ,852 -1,1649 4,0249
4,00 1,00 -2,12567* ,57010 ,064 -3,9969 -,2544
2,00 -,42567 ,44723 1,000 -1,8936 1,0423
3,00 -1,61900 ,67084 ,392 -3,8209 ,5829
5,00 ,25767 ,35356 1,000 -,9028 1,4182
6,00 -,18043 ,42679 1,000 -1,5813 1,2204
7,00 -,57718 ,37840 ,967 -1,8192 ,6648
8,00 -,18900 ,57010 1,000 -2,0602 1,6822
6,00 1,00 -1,94524 ,59763 ,054 -3,9068 ,0164
227
2,00 -,24524 ,48183 1,000 -1,8267 1,3362
3,00 -1,43857 ,69438 ,664 -3,7177 ,8406
4,00 ,18043 ,42679 1,000 -1,2204 1,5813
5,00 ,43810 ,39642 1,000 -,8631 1,7393
7,00 -,39675 ,41873 1,000 -1,7711 ,9776
8,00 -,00857 ,59763 1,000 -1,9702 1,9530
Table 97 - ANOVA PS: Labels 1 – 9
Dependent Variable: PI
Hochberg
(I) LABELS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
2,00 1,00 ,38500 ,62107 1,000 -1,6535 2,4235
3,00 -,27917 ,67083 1,000 -2,4810 1,9227
4,00 ,79179 ,49796 ,950 -,8427 2,4262
5,00 ,40083 ,50710 1,000 -1,2636 2,0653
6,00 -,07750 ,56696 1,000 -1,9384 1,7834
7,00 1,34850 ,51962 ,037 -,3570 3,0540
8,00 -,10500 ,62107 1,000 -2,1435 1,9335
3,00 1,00 ,66417 ,67083 1,000 -1,5377 2,8660
2,00 ,27917 ,67083 1,000 -1,9227 2,4810
4,00 1,07095 ,55880 ,782 -,7632 2,9051
5,00 ,68000 ,56696 ,998 -1,1809 2,5409
6,00 ,20167 ,62107 1,000 -1,8369 2,2402
7,00 1,62767 ,57818 ,017 -,2701 3,5254
8,00 ,17417 ,67083 1,000 -2,0277 2,3760
5,00 1,00 -,01583 ,50710 1,000 -1,6803 1,6486
2,00 -,40083 ,50710 1,000 -2,0653 1,2636
3,00 -,68000 ,56696 ,998 -2,5409 1,1809
4,00 ,39095 ,34553 ,999 -,7432 1,5251
6,00 -,47833 ,43916 1,000 -1,9198 ,9631
7,00 ,94767 ,37608 ,032 -,2867 2,1821
8,00 -,50583 ,50710 1,000 -2,1703 1,1586
7,00 1,00 -,96350 ,51962 ,824 -2,6690 ,7420
2,00 -1,34850 ,51962 ,037 -3,0540 ,3570
3,00 -1,62767 ,57818 ,017 -3,5254 ,2701
4,00 -,55671 ,36366 ,965 -1,7504 ,6369
5,00 -,94767 ,37608 ,032 -2,1821 ,2867
6,00 -1,42600 ,45357 ,073 -2,9147 ,0627
8,00 -1,45350 ,51962 ,175 -3,1590 ,2520
Table 98 - ANOVA PI(S): Labels 1 - 9
228
ANOVA analysis on social performance run between labels of the second matrix, the one
combining strategic role of social sustainability and clusters of companies, shows no significant
differences in mean values of the groups. Social performance factor, was representative of two
performance: health and safety conditions and workers’ satisfaction. However, these two
conditions are likely to be very high also for firms that didn’t include social sustainability among
their corporate competitive factors, as they are a natural consequence of the implementation of
labor regulations. Many national laws indeed, impose to firms to reach and maintain a minimum
level of social conditions to operate, thus all companies, also the less performing ones in terms of
sustainable practices, may have high levels of social performance. This could be an explanation to
the lack of difference in mean values between labels for what concern social performance.
However, by looking at the mean difference column, it is noteworthy that, even if not
significantly, social performance of label three are higher than all others labels.
Different observations can be made by looking at the second table, that instead shows the
differences between labels for what concern performance of image. Here more punctual
considerations can be drawn, indeed the ANOVA analysis highlight that there are significant
differences in mean values between label two and seven, between label five and seven and
between label three and seven. Companies included in label seven are not declaring their interest
towards sustainability at all, moreover they are dedicating minimum investments to build
sustainable initiatives. Therefore, it is reasonable that they have the lowest performance of image
possible. Finally, even in this case the mean difference column highlights that label three is the
best performer in terms of performance of image.
Having made these considerations, some final remarks can be drawn. The first analysis on
matrices’ rows showed that even if there were evidences that highly capable companies had, in
some cases, higher performance than medium capable and shortly capable companies, it was not
possible to conclude that those companies were the absolute best performers. The same
observation has been made after the ANOVA analysis on matrices’ columns: there were findings
indicating that some performance were better for firms believing sustainability was an order
winner, however this consideration could not be generalized. Thus, a focus on labels laying on
matrices’ diagonal was made. This allowed to note that label three was outperforming label five
and seven in terms of environmental performance and performance of image. However, this was
not sufficient to affirm that label three was in absolute the best performer. Thus, a third ANOVA
analysis was conducted including all matrices’ labels to see if the previous condition was still
verified. The analysis showed that label three include companies with the highest environmental
229
performance, social performance and performance of image. Firms matching the optimal
condition of sustainable strategic fit (highly capable companies that consider sustainability an
order winner) are also those encountering the higher performance. In the lights on these
considerations it can be concluded that Hypothesis one is supported, thus the basis on which RQ4
is founded is verified and the question can be considered answered.
7.7 Considerations on the results The steps taken to obtain the results presented in the previous sections are several and diverse.
For a matter of comprehension all the passages deeply described in the previous pages are
synthetized by the following scheme (Fig. 77).
Figure 76 - Steps of the analysis
The analysis phase started with the formulation of the research questions, the following analyses
were conducted to provide an answer to the stated questions. First research question was
formulated as follows: how companies can be classified according to their commitment in
implementing sustainable practices? Several considerations were made before answering this first
question: first, answers’ sample was considered too wide to be effectively analyzed keeping the
original values. Therefore, it was decided to perform a dimension reduction analysis on
230
questionnaire’s data, starting from practices. A factor analysis was run on survey’s practices’
results that came out in the identification of twelve factors of practices. These factors later
became the input for a cluster analysis performed in order to classify companies according to
their commitment in implementing sustainable practices. The cluster analysis split the sample into
three clusters that, based on the information obtained from the centroid matrix, were named:
highly capable, medium capable and shortly capable. At this point the answer to RQ1 was
provided: it is possible to classify companies according to their commitment in implementing
sustainable practices, in particular firms could be divided in highly capable companies, medium
capable companies and shortly capable companies. This was a particularly suitable result for the
purpose of this analysis, as it allowed to define the subsequent concept of sustainable strategic
fit. The creation of the sustainable strategic fit matrix, indeed, wouldn’t be so effective if the
clusters were more or less, being the same number of the competitive roles of sustainability
interpretations (desirable attribute, market qualifier and order winner), the matrix resulted
particularly impressive.
The second research question (RQ2) investigated what are the sustainable practices implemented
by manufacturers and suppliers, being the strategic role of sustainability equal. Therefore, a
qualitative analysis on the data gathered through the survey regarding the competitive role of
sustainability for both producers and suppliers was performed. It emerged that the two groups
were too heterogenous to be compared, thus a further more punctual analysis between suppliers
and producers of the same dimensions was performed. However, it resulted that size is not the
discriminant based on which companies gave different importance to sustainability as a strategic
factor. Afterwards, the practices most implemented by suppliers and producers having the same
consideration of sustainability competitiveness’s role was run. It emerged that When
sustainability is a desirable attribute, pollution prevention and pollution control practices are
among the most implemented practices of suppliers, while it they are among the least interesting
for producers. A similar consideration can be made for green production: it is often widely
developed by suppliers, but is modestly implemented by producers. The opposite consideration
can be made for network design practices that are among the lasts for suppliers, while they are of
quite relevant position in the producers’ ranking. For both suppliers and producers, suppliers’
green assessment and suppliers’ green monitoring are mildly attractive, while green logistics
practices are of very low interest regardless of the position of the company along the supply
chain. When sustainability is a market qualifier pollution prevention and pollution control
practices and suppliers’ green assessment are two of the most implemented practices by
231
suppliers, they are also modestly implemented by producers. While network design practices and
green logistics practices are among the least developed initiatives for suppliers, they are of
medium interest for producers. There are significant differences between suppliers and producers
for green production practices that are generally more developed from suppliers than from
producers. Similarities are found for green collaboration with suppliers practices and green
customer management that are mildly implemented by both suppliers and producers. When
sustainability is an order winner green production is ranked among the most widespread
sustainable practices from suppliers, while producers have very little consideration of this
category of practices. Both producers and suppliers dedicate consistent resources to the
development of green logistics practices, as it is considered among the first positions of the
ranking by both. On average, suppliers’ green assessment practices are more implemented by
suppliers than by producers, while they dedicate the same amount of resources to sustainable
packaging practices, suppliers’ green monitoring practices and supplies’ green assessment that
are generally a medium-ranked by both. Finally, pollution prevention and pollution control is in
general higher ranked by suppliers than by producers.
RQ3 was formulated as follows: How external and internal drivers impact on companies’
commitment for the implementation of sustainable practices? To answer this question, it was
necessary to perform a dimension reduction analysis on drivers, as previously done for practices.
Three factors of drivers were identified and subsequently used as input for further analysis. It was
decided to investigate whether there were significant differences in mean values between
clusters of companies (highly capable, medium capable, shortly capable) for what concerned the
three factors of drivers identified. It emerged that regulatory drivers and drivers of image are
particularly impacting for those firms that are already committed with the sustainability issue
(highly and medium capable companies), but these is not the unique type of companies
interested by the drivers under discussion. For what concerned stakeholders’ drivers instead, no
significant differences were found in the clusters’ mean values, thus it can be said that
stakeholders’ drivers impact on all clusters in the same way. It is important to highlight that the
conclusion of this analysis, is not that only highly capable companies and medium capable
companies are influenced by regulatory drivers and drivers of image. Also shortly capable
companies are pushed by regulatory drivers to develop sustainable practices, since regulations is
the same for all the companies of the sector.
The fourth and last research question of the thesis was the following: how the sustainable
strategic fit between the stated strategic role of sustainability and the actual implemented
232
sustainable practices impacts on the environmental, social and economic performance of a
company? This was the most hard question to answer, but at the same time the most innovative
contribution to the Literature. To answer RQ4 it was necessary to postulate an initial hypothesis:
Hp1: Companies that match the optimal sustainable strategic fit condition, are expected to
experience higher performance than all other companies.
The sustainable strategic fit matrix was built starting from the work of Chopra and Meindl (2012)
that provided a framework for the identification of the zone of strategic fit. The matrix was built
combining the information gathered through the questionnaire regarding the competitive role of
sustainability and the clusters’ membership obtained from the first cluster analysis conducted.
The result was a matrix with nine cells identifying on its diagonal the cells containing companies
matching the sustainable strategic fit condition. However, to validate the research hypothesis
one, several more steps were necessary. First, a dimension reduction analysis on performance
was performed in order to facilitate the following analyses. Afterwards, the sustainable strategic
fit matrix was analyzed by rows and by columns. In particular, an ANOVA analysis on rows and
columns was performed. Despite this analysis was not directly providing a contribute to answer
RQ4, it was still meaningful as it proved that it is not sufficient to declare that sustainability is an
order winner to obtain good performance, neither it is enough to devote a huge amount of
resources to the implementation of sustainable practices to get positive results. From the analysis
indeed, it resulted that it was not possible to conclude that one group was absolutely performing
better than others. Therefore, a more specific analysis was performed: an ANOVA analysis on the
matrix’ cells was run. First, the matrix’s diagonal’s cells were examined to see if significant
differences in mean values were found, it resulted that companies matching the highest
sustainable strategic fit condition (highly capable companies – sustainability is an order winner)
was outperforming the other two groups of firms. Nonetheless, the ANOVA analysis was extended
to all matrix’ cells to prove that Hypothesis 1 was supported. It resulted that only the group of
companies matching the optimal sustainable strategic fit condition was outperforming all other
matrix’s cells. This result is particularly significant, as it consolidates the value of the sustainable
strategic fit concept. When companies have a high commitment in the implementation of
sustainable practices and consider sustainability an order winner, then they experience a positive
improvement of environmental and social performance and of performance of image.
233
8 Conclusions
234
8.1 Summary of results This thesis had the aim to investigate the effect that a sustainable supply chain strategic fit has on
corporate triple bottom line performance. In particular, a research framework developed in a
previous research work, has been modified to include new variables and implications.
First, a wide Literature review of the topics of sustainability and sustainable supply chain have
been performed. This analysis revealed that scarce integration exists between sustainability and
supply chain management disciplines. However, some hints that the market is gradually moving
towards a more sustainable way of doing business emerged. The Literature review included also
an overview of the factors driving companies to develop sustainable initiatives. Moreover, a wide
part of the Literature analysis interested the most diffused sustainable practices on the market,
with a special focus on those implemented by companies operating in the wood and furniture
industry. Finally, a review of the triple bottom line performance was run. All the information
collected during the Literature review phase, contributed to conclude that there are not defined
and unambiguous guidelines for the correct integration of sustainability into the corporate
strategy as a competitive factor. Moreover, there is a lack of frameworks showing how this
integration impacts on sustainable supply chain practices. Furthermore, The impact that the
implementation of sustainable practices in businesses has on TBL performance (environmental,
social and economic) is not shaped by a defined model. Moreover, there is not an unambiguous
version of the nature of this relationship. Finally, the most important consideration that has been
drawn from the Literature review is that there are few studies dealing with the topic of the
strategic fit between customer priorities of competitive strategy and supply chain capabilities.
Moreover, there are no references to the sustainable counterparty of the strategic fit concept
which in this study will be defined as “sustainable strategic fit
This thesis project partially fills the Literature shortcomings, providing answers to the following
research questions:
RQ1: How companies can be classified according to their commitment in implementing
sustainable practices?
RQ2: Being the strategic role of sustainability equal, what are the different sustainable practices
implemented by manufacturers and suppliers
RQ3: How the external and internal drivers impact on the company’s commitment to implement
sustainable practices?
235
RQ4: How the sustainable strategic fit between the stated strategic role of sustainability and the
actual implemented sustainable practices impacts on the environmental, social and economic
performance of a company?
The research methodology used for this work was the survey. A research questionnaire was
developed based on the knowledge gained from the Literature review. In total, 1580 surveys were
sent to firms belonging to the furniture and the wood markets. Only 76 returned filled, of which
just 58 were completed. However, the data collected through the research surveys were judged
enough to perform some further analyses. With the help of SPSS, three explorative factor
analyses on drivers, practices and performance were performed, moreover factors of practices
were subsequently classified thanks to the running of a cluster analysis. Finally, several ANOVA
analyses were performed on factors of drivers and factors of performance.
The first research question RQ1, was answered by forming companies’ classes based on their
ability to develop sustainable practices. This was possible thanks to the execution of a dimension
reduction analysis on practices and a subsequent cluster analysis that split the fifty-eight
companies into three clusters. These groups were then defined as highly capable companies
(cluster 1), medium capable companies (cluster 2) and shortly capable companies (cluster 3). This
division was performed based on the centroids matrix resulted from cluster analysis. The second
research question RQ2, was investigating what was the role of companies’ position along the
supply chain, with respect to sustainable practices implementation’s commitment. Thus, the
initial sample was separated: producers and suppliers were analyzed separately. Moreover, to run
a more reliable analysis, only producers and suppliers that declared the same competitive role of
sustainability were compared together. Therefore, three main studies were performed: first, the
most implemented practices of suppliers and producers that believed sustainability was a
desirable attribute were identified. Secondly, the most developed initiatives of suppliers and
producers considering sustainability a market qualifier were investigated. Finally, the most
widespread sustainable practices of producers and suppliers with sustainability as an order
winner were listed.
The results showed that when sustainability is a desirable attribute, pollution prevention and
pollution control practices are among the most implemented practices of suppliers, while it they
are among the least interesting for producers. A similar consideration can be made for green
production: it is often widely developed by suppliers, but is modestly implemented by producers.
The opposite consideration can be made for network design practices that are among the lasts for
suppliers, while they are of quite relevant position in the producers’ ranking. For both suppliers
236
and producers, suppliers’ green assessment and suppliers’ green monitoring are mildly attractive,
while green logistics practices are of very low interest regardless of the position of the company
along the supply chain.
When sustainability is a market qualifier pollution prevention and pollution control practices and
suppliers’ green assessment are two of the most implemented practices by suppliers, they are
also modestly implemented by producers. While network design practices and green logistics
practices are among the least developed initiatives for suppliers, they are of medium interest for
producers. There are significant differences between suppliers and producers for green
production practices that are generally more developed from suppliers than from producers.
Similarities are found for green collaboration with suppliers practices and green customer
management that are mildly implemented by both suppliers and producers.
When sustainability is an order winner green production is ranked among the most widespread
sustainable practices from suppliers, while producers have very little consideration of this
category of practices. Both producers and suppliers dedicate consistent resources to the
development of green logistics practices, as it is considered among the first positions of the
ranking by both. On average, suppliers’ green assessment practices are more implemented by
suppliers than by producers, while they dedicate the same amount of resources to sustainable
packaging practices, suppliers’ green monitoring practices and supplies’ green assessment that
are generally a medium-ranked by both. Finally, pollution prevention and pollution control is in
general higher ranked by suppliers than by producers.
Research question three dealt with the impact that drivers had on the level of efforts put by
companies in the implementation of sustainable practices. Dimension of drivers’ sample was
initially reduced thanks to a dimension reduction analysis and tree factors of drivers were
identified: regulatory drivers, drivers of image and stakeholders drivers. Then an ANOVA on the
means of the three clusters of companies previously defined, with respect to the factors of drivers
was performed. The results showed that, even if in general all firms participating to the study
were influenced by all drivers, highly capable and medium capable companies mean values
resulted significantly different from the mean values of shortly capable companies for what
concerned regulatory drivers and drivers of image. While no significant differences in mean were
found for what concerned stakeholders drivers. Therefore, it can be concluded that regulatory
drivers and drivers of image are particularly impacting for those firms that are already committed
with the sustainability issue, but these is not the unique type of companies interested by the
drivers under discussion. For what concerned stakeholders’ drivers instead, no significant
237
differences were found in the clusters’ mean values, thus it can be said that stakeholders’ drivers
impact on all clusters in the same way.
Finally, research question four aimed at identifying the relationship between the existence of a
sustainable strategic fit and the change in corporate triple bottom line performance. To face this
issue, two matrices were built combining the three types of strategic roles of sustainability with
the three clusters of companies identified based on firms’ commitment in implementing
sustainable practices. In this way, companies were positioned in nine labels. Labels laying on the
matrix’s diagonal represented companies matching the sustainable strategic fit condition, while
companies outstanding the diagonal were companies mismatching that condition. To investigate
what was the impact that the presence of a sustainable strategic fit had on performance, diverse
ANOVA tests at different levels of analysis were performed. First, a general perspective was
adopted, thus the differences in performance between the rows and between the columns of the
matrix were analyzed separately. Secondly, an ANOVA analysis focused on the labels laying on the
matrix’s diagonal was run and finally, an ANOVA test on all labels of the matrix was executed to
highlight eventual differences in performance’ mean values. The results of the different tests,
progressively show that some significant differences in mean values existed and, in particular,
label three (the one matching the optimal sustainable strategic fit condition) had the highest
performance of image, environmental performance and social performance. It was not possible to
draw punctual conclusions for labels five and seven, as they didn’t show a dominant position as
label three did.
The results obtained during the project work, are synthetized by the following conceptual map.
238
Figure 77 - Conceptual map: Main results
The map is clearly showing what was already statistically proved in Chapter six. Undoubtedly label
three (the one matching the optimal sustainable strategic fit condition) experiences the best
performance improvement in terms of environmental performance, social performance and
economic performance. What it is interesting to note, is that it is not sufficient to meet the
sustainable strategic fit condition to obtain the maximum gain, companies must necessarily match
the optimal condition otherwise the performance improvement is not guaranteed. For instance,
firms belonging to label five (medium capable companies – sustainability is a market qualifier) are
matching the sustainable strategic fit condition, but not it its higher form, indeed they have
average performance of image and environmental performance values. Companies laying in label
seven (the worst sustainable strategic fit condition: shortly capable companies – sustainability is a
desirable attribute) are experiencing very low performance, as expected. What is interesting, is
that companies of label six (medium capable companies – sustainability is an order winner) are
outperforming firms of label four (medium capable companies – sustainability is a desirable
attribute). Despite label six was originally counted among the “vicious” cells, it shows higher
239
performance than label four, that was listed among the “virtuous” ones. This is reasonably
explained by the fact that, even in companies of label six are currently overestimating the
competitive role of sustainability, they are likely raising firms, hopefully they will improve their
commitment in implementing sustainable practices in medium-short term. If this happens, they
are good candidates to move in label three and match the optimal sustainable strategic fit
condition.
8.2 Managerial implications It is evident that the success of a business is increasingly linked to its willingness to be sustainable.
The interest that companies developed in the last 10 years towards sustainability, is not only a
consequence of the increased sensitivity that firms developed, but it especially derives from the
competitive function that sustainability plays in creating long-term value. Competition no longer
takes place between individual firms but between entire supply chains (Christopher, 2002;
Lambert and Cooper, 2000), and that's why the redefinition of the supply chain in a sustainable
perspective becomes a key competitive leverage to gain a strategic advantage. The increasing
sustainable concerns are also involving supply chains, that are no longer conceived with a linear
perspective, but, as closed-loop supply chains. Companies have the opportunity to differentiate
themselves in the market and simultaneously ensure competitiveness and prosperity in the long
term by developing sustainable initiatives in their organizations and within their supply chains.
The present work has the ambition to provide managers with a guide to orient their decision
towards the implementation of a sustainable supply chain strategy. The contribution brought to
management lies not only in the identification of which are the current most implemented
sustainable practices in the furniture market, but also in the specification of which are the
initiatives preferred by highly capable companies. This information could give managers
indications on where to invest, according to the level of resources available for a given project.
Moreover, this work separates practices implemented by suppliers by those implemented by
producers, thus this study can be useful to all companies operating in the furniture industry,
regardless their position along the supply chain. Managers could have also a draft idea of which
are the drivers impacting on their decision on the implementation of sustainable initiatives, by
looking at the results of the ANOVA on drivers conducted in this work. Finally, the most
interesting contribution that this work brings to managers, is a proxy of how their performance
will change according to their position with respect to the sustainable strategic fit condition.
240
8.3 Limitations and generalizations Despite this work is focused on the furniture industry, it included also factors that are not specific
of a given sector. Only a portion of the drivers, practices and performance analyzed in the study
are focused on a single sector, while the large part of them are general characteristics that could
be easily generalized. Therefore, with proper precautions, the research model presented in this
work can be applied to other contexts characterized by low process and product complexity and
relatively stable demand.
Despite the sample size of the survey was enough to perform statistical analyses on the data
collected, the execution of certain specific tests encountered some limitation due to the scarce
numerosity of the firms (i.e. the ANOVA test conducted on the sustainable strategic fit matrix’
cells).
8.4 Considerations for future research Besides the contributions that this thesis project brings to scholars and practitioners, it also
presents some limitations:
1. The use of a survey as research methodology allowed to collect a number of answers
sufficient to perform basic statistical analyses, such as: factor analysis, cluster analysis and
ANOVA analysis. However, a higher size of the sample would allow further more punctual
analyses. For instance, a regression analysis could be performed to find further
relationships between performance and sustainable strategic fit condition that this work
couldn’t detect.
2. This study analyzed only twelve suppliers’ surveys, thus conclusions drawn for this
typology of companies are quite limited. It could be interesting to analyze a wider sample
of suppliers to see if consistent differences with producers’ behavior exist.
3. To obtain coherent answers to the questions, it was asked to respondents to select a
single product family and to answer all the survey’s questions referring to that family.
However, it could be interesting to enlarge the research to include also other product
families and see if significant differences exist between two or more items of the same
company.
241
9 Bibliography
242
- Ageron, B., Gunasekaran, A., Spalanzani, A., (2012), “Sustainable supply
management: An empirical study”, International Journal of Production Economics,
Vol. 140, pp. 168-182
- Aimee Jackson, Katherine Boswell, PhD, CIA, Dorothy Davis, DBA, CPA (2011),
“Sustainability and Triple Bottom Line Reporting – What is it all about?”, International
Journal of Business, Humanities and Technology Vol. 1 No. 3
- Ali Diabat, Kannan Govindan (2010), "An analysis of the drivers affecting the
implementation of green supply chain management", Resources, Conservation and
Recycling
- Aragon-Correa, Juan Alberto (1998), "Strategic proactivity and firm approach to
natural environment", Academy of management journal pg 556
- Azzone G., Bertele, U., (1994), “Exploiting green strategies for competitive
advantage”, Long Range Planning, 27(6), pp. 69–81
- Barry Nessa, Evelin Urbel-Piirsalua, Stefan Anderberg, Lennart Olsson (2007),
“Categorising tools for sustainability assessment”, ECOLOGICAL ECONOMICS 60 pp.
498 – 508
- Beamon, B.M., (2008), “Sustainability and the Future of Supply Chain
Management”, Operations and Supply Chain Management”, Vol. 1, No. 1, pp. 4-18
- Beatrice Kogg, Oksana Mont (2012), "Environmental and social responsibility in supply
chains: The practise of choice and inter-organisational management", Ecological
Economics
- Boons, F., & Ludeke-Freund, F. (2013), “Business models for sustainable innovation:
state-of-the-art and steps towards a research agenda”, Journal of Cleaner
Production, 45, pp. 9-19
- Capaldi, N. (2005), “Corporate social responsibility and the bottom line”,
International Journal of Social Economics, 32(5), pp. 408-423
- Carl Mitcham (1995), “The concept of Sustainable Development its origins and
ambivalence”, Technology In Somy, Vol. 17, No. 3. pp. 31 l-326
243
- Carter, C. R., & Rogers, D. S. (2008), “A framework of sustainable supply chain
management: moving toward new theory”, International journal of physical
distribution & logistics management, 38(5), pp. 360-387
- Chaabane, A.Ramudhin, M.Paquet (2010), "Design of sustainable supply chains under
the emission trading scheme", Int. J. Production Economics
- Chopra and Meindl (2012), "Supply Chain Management", Pearson; 5th edition
- Chris Sneddona, Richard B. Howarth, Richard B. Norgaard (2006), “Sustainable
development in a post-Brundtland world”, Ecological Economics 57 pp. 253 – 268
- Christina Maria Dües, Kim Hua Tan, Ming Lim (2012), "Green as the new Lean: how to
use Lean practices as a catalyst to greening your supply chain", Journal of Cleaner
Production
- Christmann, P. (2000), “Effects of “best practices” of environmental management
on cost advantage: The role of complementary assets”, Academy of Management
journal, 43(4), pp. 663-680
- Craig R. Carter Dale S. Rogers (2008), "A framework of sustainable supply chain
management: moving toward new theory", International Journal of Physical
Distribution & Logistics Management
- Craig R. Carter, Marianne M. Jennings (2011), "Social responsibility and supply chain
relationships", Transportation Research Part E
- D.R. Iritani, D.A.L. Silva, Y.M.B. Saavedra, P.F.F. Grael, A.R. Ometto (2015),
"Sustainable strategies analysis through Life Cycle Assessment: a case study in a
furniture industry", Journal of Cleaner Production 96 pp. 308-318
- Daniela Ebner, Dr. Rupert J. Baumgartner (2006), “The relationship between
Sustainable Development and Corporate Social Responsibility”, Corporate
Responsibility Research Conference, Dublin
- Darnall, N., Henriques, I., Sadorsky, P., (2010), “Adopting Proactive Environmental
Strategy: The Influence of Stakeholders and Firm Size”, Journal of Management
Studies, 47:6
244
- David Styles, Harald Schoenberger, Jose-Luis Galvez-Martos (2012), "Environmental
improvement of product supply chains: A review of European retailers’ performance"
Resources, Conservation and Recycling 65,pp. 57– 78
- David Styles, Harald Schoenberger, Jose-Luis Galvez-Martos (2012), "Environmental
improvement of product supply chains: Proposed best practice techniques,
quantitative indicators and benchmarks of excellence for retailers", Journal of
Environmental Management 110, pp. 135e150
- David Styles, Harald Schoenberger, Jose-Luis Galvez-Martos (2012), "Environmental
improvement of product supply chains: proposed best practice techniques,
quantitative indicators and benchmarks of excellence for retailers", Journal of
Environmental Management
- David Styles, Harald Schoenberger, Jose-Luis Galvez-Martos (2012), "Environmental
improvement of product supply chains:A review of European retailers’ performance",
Resources, Conservation and Recycling
- Desta Mebratu (1998), “Sustainability and sustainable development historical and
conceptual review”, EnvironmentalImpact Assessment Review pp. 493–520
- Diane Mollenkopf, Hannah Stolze, Wendy L. Tate and Monique Ueltschy, "Green, lean,
and global supply chains", International Journal of Physical Distribution & Logistics
Management
- Elkafi Hassini, ChiragSurti, CorySearcy (2012), "A literature review and a case study of
sustainable supply chains with a focus on metrics", Int. J. Production Economics
- Elkington, J.,(2004), “Enter the triple bottom line”, in Henriques, A. and Richardson,
J. (Eds), The Triple Bottom Line: Does It All Add up?, Earthscan, London, pp. 1-16.
- Enrico Cagno, Paolo Trucco (2007), "Integrated green and quality function
deployment", Int. J. Product Lifecycle Management
- Enrico Cagno, Paolo Trucco, Augusto di Giulio (1999), "A methodological framework
for the initial environmental review (IER) in EMS implementation", Journal of
Environmental Assessment Policy and Management
245
- Enrico Cagno, Paolo Trucco, Guido JL Micheli (2011), "Ecoefficiency for sustainable
manufacturing: an extended environmental costing method", Production Planning and
Control
- Federico Caniato, Maria Caridi, Luca Crippa, Antonella Moretto (2012),
"Environmental sustainability in fashion supply chains: An exploratory case based
research", Int. J.Production Economics 135 pp. 659–670
- Frank Boons, Florian Lüdeke-Freund (2012), "Business Models for Sustainable
Innovation: State of the Art and Steps Towards a Research Agenda", Journal of
Cleaner Production
- Frank Figge, Tobias Hahn, Stefan Schaltegger and Marcus Wagner (2002), “THE
SUSTAINABILITY BALANCED SCORECARD – LINKING SUSTAINABILITY MANAGEMENT
TO BUSINESS STRATEGY”, Business Strategy and the Environment Bus. Strat. Env. 11,
269–284
- G. Daian, B. Ozarska (2009), "Wood waste management practices and strategies to
increase sustainability standards in the Australian wooden furniture manufacturing
sector", Journal of Cleaner Production 17 pp. 1594–1602
- Geffen, C. A., & Rothenberg, S. (2000), “Suppliers and environmental innovation: the
automotive paint process”, International Journal of Operations &
- George A. Zsidisin, Sue P. Siferd (2000), "Environmental purchasing: a framework for
theory development", European Journal of Purchasing & Supply Management 7, pp.
61-73
- Giovani J.C. da Silveira (2005), "Market priorities, manufacturing configuration, and
business performance: an empirical analysis of the order-winners framework", Journal
of operations management
- Gold, S., Seuring, S., & Beske, P. (2010), “Sustainable supply chain management and
inter-organizational resources: a literature review”, Corporate social responsibility
and environmental management, 17(4), pp. 230-245
246
- Gungor, A., & Gupta, S. M. (1999), “Issues in environmentally conscious
manufacturing and product recovery: a survey”, Computers & Industrial Engineering,
36(4), pp. 811-853
- H. Pumomo, L. Abdullah, R.H. Irawati (2011), "A system dynamics approach to
balancing wood supply and demand for sustaining the future industry", 19th
International Congress on Modelling and Simulation
- Hanan Alhaddi (2015), “Triple Bottom Line and Sustainability: A Literature Review”,
Business and Management Studies Vol. 1, No. 2
- Harms, D., Hansen, E. G., & Schaltegger, S. (2013), “Strategies in sustainable supply
chain management: an empirical investigation of large German companies”,
Corporate social responsibility and environmental management, 20(4), pp. 205-218
- Harrison, A., Christopher, M. and van Hoek, R. (1999), “Creating the agile supply
chain”, School of Management Working Paper, Cranfield University, Cranfield
- Haw-Jan Wu, Steven C. Dunn (1995), "Environmentally responsible logistics systems",
International Journal of Physical Distribution & Logistics Management, Vol. 25 No. 2,
pp. 20-38
- Hyunjoo Oh, So-Yeon Yoon, Jana Hawley (2014), "What virtual reality can offer to the
furniture industry", Journal of Textile and Apparel, Technology and Management
- J. Ratnasingam, F. Ioras (2003), "The sustainability of the Asian wooden furniture
industry", Springer Verlag
- J.C. van Weenen (2012), "A business strategy selection of green supply chain
management via an analytic network process", Computers and Mathematics with
Applications
- Jennings, P. D., & Zandbergen, P. A. (1995), “Ecologically sustainable organizations:
An institutional approach”, Academy of Management Review, 20(4), pp. 1015-1052
- Jenny Pope, David Annandale, Angus Morrison-Saunders (2004), “Conceptualising
sustainability assessment”, Environmental Impact Assessment Review 24 pp. 595 –
616
247
- Jeremy Hall (2000), "Environmental supply chain dynamics",Journal of Cleaner
Production
- Jonathan M. Harris (2003), “Sustainability and Sustainable Development”,
International Society for Ecological Economics
- Jordi Cabot, Steve Easterbrook, Jennifer Horkoff, Jose-Norberto Mazon, Lysanne
Lessard and Sotirios Liaskos (2009), “Integrating Sustainability in Decision-Making
Processes: A Modelling Strategy”, Software Engineering-Companion Volume. ICSE-
Companion 2009. 31st
International Conference on, pp. 207-210
- K. Y. Tippayawong, T. Tiwaratreewit, A. Sopadang (2015), "Positive Influence of Green
Supply Chain Operations on Thai Electronic Firms’ Financial Performance", Procedia
Engineering 118 pp. 683 – 690
- Karna, A., Heiskanen, E., 1998, “The challenge of product chain thinking for product
development and design: the example of electrical and electronics products”, Journal
of Sustainable Product Design 4 (1), pp. 26–36
- King, A.A., Lenox, M.J., (2001), “Lean and green? An empirical examination of the
relationship between lean production and environmental performance”, Prod.
Operations Manage, Vol. 10 No.3, pp.244-256
- Kirsten Schliephake, Graeme Stevens, Simon Clay (2009), "Making resources work
more efficiently – the importance of supply chain partnerships", Journal of Cleaner
Production
- Kocabasoglu, C., Prahinski, C. and Klassen, R.D. (2007), “Linking forward and reverse
supply chain investments: the role of business uncertainty”, Journal of Operations
Management, Vol. 25 No. 6, pp. 1141-1160
- Large, R.O., Gimenez, C., (2011), “Drivers of green supply management performance:
Evidence from Germany”, Journal of Purchasing & Supply Management, Vol. 17, pp.
176–184
- Lennart Y. Ljungberg (2005), "Materials selection and design for development of
sustainable products", ScienceDirect
248
- M. Ouhimmou, S. D’Amours, R. Beauregard, D. Ait-Kadi, S. Singh Chauhan (2008),
"Furniture supply chain tactical planning optimization using a time decomposition
approach" European Journal of Operational Research 189 (2008) 952–970
- Maignan, I., Hillebrand, B., & McAlister, D. (2002), “Managing socially responsible
buying: how to integrate non-economic criteria into the purchasing process”,
European Management Journal, 20(6), pp. 641-648
- Margot J. Hutchins, John W. Sutherland (2008), "An exploration of measures of social
sustainability and their application to supply chain decisions", Journal of Cleaner
Production 16 pp. 1688–1698
- Maria Caridi, Margherita Pero, Andrea Sianesi (2011), "Linking product modularity and
innovativeness to supply chain management in the Italian furniture industry", Int.
J.Production Economics
- Mark A. White (2013), “Sustainability: I know it when I see it”, Ecological Economics
86 pp. 213–217
- Markku Lehtonen (2004), “The environmental–social interface of sustainable
development: capabilities, social capital, institutions”, Ecological Economics 49 pp.
199 – 214
- Martin Christopher, Denis Towill (2001), “An Integrated Model for the Design of Agile
Supply Chains”, International Journal of Physical Distribution and Logistics
Management, Vol. 31, No. 4, pp235-246, 2001
- Mee Yean Tay, Azmawani Abd Rahman, Yuhanis Abdul Aziz, and Shafie Sidek (2015),
"A Review on Drivers and Barriers towards Sustainable Supply Chain Practices",
International Journal of Social Science and Humanity, Vol. 5, No. 10
- Mehdi Shahbazpour, Rainer H. Seidel (2006), "Using sustainability for competitive
advantage", 13th CIRP International Conference On Life Cycle Engineering
- Mitra, S., & Datta, P. P. (2014), “Adoption of green supply chain management
practices and their impact on performance: an exploratory study of Indian
manufacturing firms”, International Journal of Production Research, 52(7), pp. 2085-
2107
249
- Mohammad Asif Salam (2009), "Corporate Social Responsibility in Purchasing and
Supply Chain", Journal of Business Ethics pp. 85:355–370
- Muh. Hisjama, Adi Djoko Guritno, Nunuk Supriyatno, Shalihuddin Djalal Tandjung
(2015), "A Sustainable Partnership Model among Supply Chain Players in Wooden
Furniture Industry Using Goal Programming", ScienceDirect
- Orsato, R. J. (2006),” When does it pay to be green”, California Management Review,
48(2), pp. 128 Monczka, Robert, Robert Trent, and Robert Handfield (1998),
“Purchasing and Supply Chain Management”, Cincinnati, OH: South-Western
College Publishing, Chapter 8
- Ottar Michelsen, Annik Magerholm Fet, Alexander Dahlsrud (2005), "Eco-efficiency in
extended supply chains: A case study of furniture production", Journal of
Environmental Management
- Ouhimmou, M., D’Amours, S., Beauregard, R., Ait-Kadi, D., & Chauhan, S. S. (2008),
“Furniture supply chain tactical planning optimization using a time decomposition
approach”, European Journal of Operational Research, 189(3), pp. 952-970
- Paulraj, A. (2009), “Environmental motivations: a classification scheme and its
impact on environmental strategies and practices”, Business Strategy and the
Environment, 18(7), pp. 453-468
- Payman Ahi, Cory Searcy (2013), "A comparative literature analysis of definitions for
green and sustainable supply chain management", Journal of Cleaner Production
- Peter Glavic, Rebeka Lukman (2007), “Review of sustainability terms and their
definitions”, Journal of Cleaner Production pp. 1875-1885
- Petra Christmann (2000), "Effects of "Best Practices" of Environmental Management
on Cost Advantage: The Role of Complementary Assets", The Academy of
Management Journal vol.43, No 4, pp 663-680
- Philip Pinch, Suzanne Reimer (2015), "Nationalising local sustainability: Lessons from
the British wartime Utility furniture scheme", Geoforum
250
- Polonsky, M. J., & Rosenberger, P. J. (2001), “Reevaluating green marketing: a
strategic approach”, Business Horizons, 44(5), pp. 21-30
- Production Management, 20(2), pp. 166-186 Elkington, J. (1998)., “Partnerships from
cannibals with forks: The triple bottom line of 21st-century business”, Environmental
Quality Management, 8(1), pp. 37-51
- Qinghua Zhu, Joseph Sarkis (2004), "Relationships between operational practices and
performance among early adopters of green supply chain management practices in
Chinese manufacturing enterprises", Journal of Operations Management 22 pp. 265–
289
- Qinghua Zhu, Joseph Sarkis, Kee-hung Lai (2006), "Green supply chain management
implications for ‘‘closing the loop’’ , ScienceDirect
- Qinghua Zhu, Joseph Sarkis, Kee-hung Lai (2007), "Green supply chain management:
pressures, practices and performance within the Chinese automobile industry", Journal
of Cleaner Production 15 pp. 1041-1052
- Rao, P., Holt, D., (2005),"Do green supply chains lead to competitiveness and
economic performance?", International Journal of Operations & Production
Management, Vol. 25 Iss 9 pp. 898 – 916
- Reuter, C., Foerstl, K. A. I., Hartmann, E. V. I., & Blome, C. (2010), “Sustainable global
supplier management: the role of dynamic capabilities in achieving competitive
advantage”, Journal of Supply Chain Management, 46(2), pp. 45-63
- Robert Costanza, Bernard C. Patten (1995), “Defining and predicting sustainability”,
Ecological Economics pp. 193-196
- Robert Handfield, Robert Sroufe, Steven Walton (2005), “Integrating Environmental
Management and Supply Chain Strategies”, Business Strategy and the Environment
Bus. Strat. Env. 14, pp. 1–19
- S. Maryam Masoumik, Salwa Hanim Abdul-Rashid, Ezutah Udoncy Olugu, Raja Ariffin
Raja Ghazilla (2015), "A Strategic Approach to Develop Green Supply Chains", Science
Direct pp 670 – 676
251
- Sadler B. (1999), “A framework for environmental, sustainability assessment and
assurance”, In: Petts J, editor. Handbook of environmental impact assessment, vol.
1. Oxford: Blackwell; pp. 12–31
- San, H.P., Singh, K. S. A. S., Ismail, A. Z., Singh K. K. A., Kum, P. S. (2015), “Initiatives
and Efforts Towards Greening Malaysian Furniture Industry”, Asian Journal of
Scientific Research, 8(2), pp. 122-133
- Sara González-García, Carles M. Gasol, Raúl García Lozano, M Teresa Moreira, Xavier
Gabarrell, Joan Rieradevall i Pons, Gumersindo Feijoo (2011), "Assessing the global
warming potential of wooden products from the furniture sector to improve their
ecodesign", Science of the Total Environment 410-411 pp. 16–25
- Schaltegger, S., & Wagner, M. (2011), “Sustainable entrepreneurship and
sustainability innovation: categories and interactions”, Business strategy and the
environment, 20(4), pp. 222-237
- Sen, S. (2009), “Linking green supply chain management and shareholder value
creation”, The IUP Journal of Supply Chain Management, Vol. 7 No. 3 and 4, pp. 95-
109
- Shrivastava, S.K., (2007), “Green supply-chain management: A state of the art
literature review”, International Journal of Management Reviews
- Simatupang, T.M., Sridharan, (2002), “The Collaborative Supply Chain”, The
International Journal of Logistic Management, Vol. 13 No.1
- Simone Sartori, Fernalda Latronico da Silva, Lucila Maria de Souza Campos (2014),
“Sustainability and sustainable development: a taxonomy in the field of literature”,
Ambiente & Sociedade
- Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2012), “An overview of
sustainability assessment methodologies”, Ecological Indicators, 15(1), pp. 281-299
- Stefan Seuring (2013), "A review of modeling approaches for sustainable supply chain
management", Decision Support Systems 54 (2013) 1513–1520
252
- Stefan Seuring, Martin Müller (2008), "From a literature review to a conceptual
framework for sustainable supply chain management", Journal of Cleaner Production
- Stock, J. R. (1998), “Development and implementation of reverse logistics
programs”, In Annual Conference Proceedings, Council of Logistics Management
- Stuart L. Hart (1995), "A natural resource based view of the firm", The Academy of
Management Review, Vol. 20, No. 4, pp. 986-1014.
- Su Yol Lee, Seung-Kyu Rhee (2007), "The change in corporate environmental
strategies: a longitudinal empirical study", Management Decision Vol. 45 No. 2 pp.
196-216
- Suhaiza Zailani, K.Jeyaraman, G.Vengadasan, R.Premkumar (2012), "Sustainable
supply chain management (SSCM) in Malaysia: A survey", Int. J. Production Economics
140 pp. 330–340
- Sunhee Youn and Ma Ga (Mark) Yang (2012), "Extending the efficient and responsive
supply chains framework to the green context", Benchmarking: An International
Journal, vol. 19 No. 4/5
- Sunil Luthra a, Dixit Garg , Abid Haleem (2016), "The impacts of critical success factors
for implementing green supply chain management towards sustainability: an
empirical investigation of Indian automobile industry", Journal of Cleaner Production
121 pp. 142-158
- Susana G. Azevedo, Helena Carvalho, V. Cruz Machado (2011), "The influence of green
practices on supply chain performance: A case study approach", Transportation
Research Part E
- Susana G. Azevedo, Helena Carvalho, V. Cruz Machado (2011), "The influence of green
practices on supply chain performance: A case study approach", Transportation
Research Part E
- Svensson, G., (2007), “Aspects of sustainable supply chain management (SSCM):
conceptual framework and empirical example”, Supply Chain Management: An
International Journal, Vol. 12 Iss 4, pp. 262-266
253
- Tareq Al Khidir and Suhaiza Zailani (2009), "Going Green in Supply Chain Towards
Environmental Sustainability", Global Journal of Environmental Research
- the World Commission on Environment and Development (1987), "Our Common
Future or Brundtland Report", Oxford University Press
- Theo Hacking, Peter Guthrie (2008), “A framework for clarifying the meaning of Triple
Bottom-Line, Integrated and Sustainability Assessment”, Environmental Impact
Assessment Review 28 pp. 73–89
- Theo Hacking, Peter Guthrie (2008), “A framework for clarifying the meaning of Triple
Bottom-Line Integrated, and Sustainability Assessment”, Environmental Impact
Assessment Review 28 pp.73–89
- Thiell, M., Zuluaga, J., Montanez, J., & van Hoof, B. (2011), “Green Logistics: Global
Practices and their Implementation in Emerging Markets”, Green Finance and
Sustainability
- Vachon, S., & Klassen, R. D. (2008), “Environmental management and manufacturing
performance: the role of collaboration in the supply chain”, International journal of
production economics, 111(2), pp. 299-315
- Vachon, S., & Mao, Z. (2008), “Linking supply chain strength to sustainable
development: a country-level analysis”, Journal of Cleaner Production, 16(15), pp.
1552-1560
- Van Hoek, R. I. (1999), “From reversed logistics to green supply chains”,Supply
Chain Management: An International Journal, 4(3), pp. 129-135
- Walton, S. V., Handfield, R. B., & Melnyk, S. A. (1998), “The green supply chain:
integrating suppliers into environmental management processes”, Journal of Supply
Chain Management, 34(2), 2
- Walton, S. V., Handfield, R. B., & Melnyk, S. A. (1998), ” The green supply chain:
integrating suppliers into environmental management processes”, Journal of Supply
Chain Management
254
- Winkler, H. (2011), “Closed-loop production systems: a sustainable supply chain
approach”, CIRP J. Manuf. Sci. Technol. 4, pp. 243-246
- Wu, T., Jim Wu, Y. C., Chen, Y. J., Goh, M., (2013), “Aligning supply chain strategy
with corporate environmental strategy: A contingency approach”, International
Journal of Production Economics, 147, pp. 220-229
- Yang, M.G., Hong, P., Modi, S.B., (2011), “Impact of lean manufacturing and
environmental management on business performance: an empirical study of
manufacturing firms”, International Journal of Production Economics, Vol. 129 No.2,
pp.251-261
- Yong Zhang, Russell G. Thompson, Xiangtai Bao, Yunjian Jiang (2014), "Analyzing the
Promoting Factors for Adopting Green Logistics Practices: A Case Study of Road
Freight Industry in Nanjing, China", Procedia - Social and Behavioral Sciences 125 pp.
432 – 444
- Zhang, Y., Thompson, R.J., Bao, X., Jiang, Y., (2014), “Analyzing the Promoting
Factors for Adopting Green Logistics Practices: A Case Study of Road Freight Industry
in Nanjing, China” Procedia - Social and Behavioral Sciences, 125, pp. 432 – 444
255
10 APPENDIX APPENDIX 1: Nonostante la metodologia utilizzata ai fini di questa tesi sia stata principalmente lo
sviluppo di un questionario di ricerca con l’aggiunta di analisi di dati attraverso l’utilizzo di
software statistici quali SPSS, alla fine del periodo di raccolta dati si è presentata l’occasione di
incontrare una delle persone che avevano partecipato alla compilazione del questionario e che si
è dimostrata particolarmente interessata all’argomento sostenibilità nel settore
dell’arredamento. Pertanto, si è deciso di fissare un incontro con il manager in questione e
discutere del caso specifico della sua azienda a cui ci si riferirà come Caso X. Nonostante questo
incontro esulasse dallo scopo primo del lavoro (analizzare statisticamente i dati raccolti tramite
questionario), esso è stato comunque una preziosa occasione di ottenere feedback diretti da chi
lavora sul campo e per avere conferme della solidità dei dati raccolti tramite survey. L’intervista è
durata circa due ore e si è svolta presso la sede dell’azienda X, si sono toccati tutti i temi che
erano già stati accennati nel questionario di ricerca, inoltre si è scesi nello specifico dell’azienda in
questione per quelle pratiche che risultavano particolarmente d’interesse a parere del manager
intervistato. L’incontro è stato strutturato secondo una serie di domande che miravano ad
approfondire le risposte che erano state fornite nel questionario e ad ottenere informazioni
qualitative aggiuntive riguardo le pratiche maggiormente implementate dall’azienda X e le
performance di triple bottom line dell’impresa. La persona intervistata si è dimostrata
estremamente precisa ed attenta all’argomento ed ha fornito un quadro chiaro della situazione
odierna nel settore dell’arredamento.
Nell’Appendice 1 si riportano la traccia dell’intervista seguita durante l’incontro con il manager
dell’azienda X, il caso studio che ne è derivato e la relativa trascrizione dell’intervista.
256
Traccia Intervista Azienda X
Pratiche di sostenibilità nella filiera dell’arredamento
La presente traccia vuole essere un’anticipazione degli argomenti che verranno trattati durante
l’incontro di Lunedì. L’intervista sarà strutturata in tre parti: le domande contenute nella prima
parte mireranno a classificare l’azienda X s.p.a in base alle caratteristiche dalla sua filiera
produttiva e dei suoi processi produttivi, pertanto le verranno poste domande sulla rete di
fornitura, sul processo produttivo e sul network distributivo dell’azienda. La seconda parte
dell’intervista sarà volta ad affrontare il tema della sostenibilità come fattore competitivo per
l’azienda, mentre la terza ed ultima parte dell’intervista mirerà ad approfondire le scelte da Lei
indicate all’interno del “Questionario sulla sostenibilità nel settore dell’arredamento” in merito ai
Driver, alle Pratiche di sostenibilità e alle Performance dell’azienda.
Prima parte: Descrizione della Supply Chain e dei processi produttivi della X s.p.a
1. Breve descrizione della rete di fornitura (tipologia di fornitori, localizzazione dei
fornitori, modalità di approvvigionamento, LT di fornitura)
2. Breve descrizione del processo produttivo (la produzione avviene su ordine del cliente
o a scorta? LT del processo produttivo, scelte di “make or buy”, quali sono i principali
mercati serviti dall’azienda?)
3. Breve descrizione del network distributivo dell’azienda (canali di distribuzione,
relazione con i clienti, domanda dei clienti)
Seconda parte: La sostenibilità come fattore competitivo
1. Nel questionario la sostenibilità ambientale viene definita come “condizione
necessaria per operare nel nostro settore” e la sostenibilità sociale come
“caratteristica non strategica ma comunque desiderabile”, in relazione ad altri fattori
competitivi (avere un prezzo basso, garantire consegne veloci, offrire un servizio di
qualità, offrire ampiezza di gamma, offrire frequentemente nuovi prodotti) come
classificherebbe la sostenibilità ambientale e sociale? (più importante, meno
importante, ugualmente importante)
257
Terza parte: Driver per l’adozione di pratiche sostenibili, Pratiche di sostenibilità e
Performance
1. Con riferimento alle risposte fornite nel questionario, può spiegare meglio in che
modo i Driver hanno impattato sulle decisioni dell’azienda di adottare pratiche di
sostenibilità?
2. Le pratiche di Green Design sono risultate quelle in assoluto più implementate, può
spiegare perché vi siete concentrati specialmente su queste attività? Può fare degli
esempi relativi all’azienda?
3. Con riferimento alla risposte fornite nel questionario, può spiegare meglio in che
modo avete implementato le pratiche di Produzione Sostenibile? Può fare qualche
esempio relativo all’azienda?
4. Con riferimento alla risposte fornite nel questionario, può spiegare meglio in che
modo avete implementato le pratiche di Selezione e Monitoraggio dei Fornitori? Può
fare qualche esempio relativo all’azienda?
5. Con riferimento alla risposte fornite nel questionario, può spiegare meglio in che
modo avete implementato le pratiche di Collaborazione con i Fornitori? Può fare
qualche esempio relativo all’azienda?
6. Con riferimento alla risposte fornite nel questionario, può spiegare meglio in che
modo avete implementato le pratiche di Collaborazione con i Clienti? Può fare
qualche esempio relativo all’azienda?
7. Può spiegare perché avete scelto di rifornirvi presso fornitori locali piuttosto che
presso fornitori dispersi geograficamente? È stata una scelta guidata più da ragioni
economiche (ridotti costi di trasporto) o ambientali (ridotto impatto ambientale)?
8. Con riferimento alla risposte fornite nel questionario, può spiegare meglio in che
modo avete implementato le pratiche di Logistica Sostenibile? Può fare qualche
esempio relativo all’azienda?
9. Quali sono i KPIs maggiormente utilizzati dall’azienda per monitorare le performance
che ha indicato come migliorate durante l’ultimo anno nel questionario?
10. Ci sono altri esempi di sostenibilità in azienda che non sono stati considerati dal
questionario e di cui gradirebbe parlarmi? Ci sono altre questioni legate alla
sostenibilità nella filiera dell’arredamento che ritiene importanti e che vorrebbe
sottolineare?
11.
258
Case Study X
Introduction
X spa belongs to the Molteni & C group and its core business is the design and the development of
office furniture. The firm was founded in 1969, when the Molteni & C group was asked by IBM to
design and realize the office furniture for its Segrate’s site. After this first very important job, X
spa progressively gained popularity and due to production purposes, it moved in a bigger facility
situated in Turate (CO), which is currently the headquarters of the firm. In the ’80, the firm further
expanded its products range including also components made of aluminum, steel and glass. In the
following years the Company rapidly gained huge success among the customers, who started
asking for very peculiar products, consequently the firm decided to shift from a mass production
to a customized production. Today the Company counts 198 employees and it has a turnover of
around € 67.000.000. It mostly operates at an international level, indeed only the 25% of the total
turnover is coming from the Italian market. Among the most famous projects realized by the
Company we can remember: Fondation Cartier in 1994 in Paris, since the completion of this
project X spa started the production in series of the Less furniture pieces, expressly designed by
Jean Nouvel for the Fondation and then integrated in the Company products’ range. In 2005 X spa
realized the interiors of the Bloomerang headquarters in the heart of Manhattan, this job was
fundamental for the Company to promote its work in the United States. In 2007 the firm was in
charge to provide the office furniture for the New York Times building designed by Renzo Piano in
New York, the building consisted of the main tower volume, 52 floors high, and a lower volume
that contained the newsroom, the operational heart of the building. More recently, in 2015, the
Company realized the interior furnishings for the Intesa San Paolo Head Office in Turin. The latter
represents the biggest and most important Italian project of the Company: it concerned the
realization and the delivery of more than 400 desks for the 2400 employees of one of the biggest
Italian banks.
The Company is also very concerned about the Environmental and Social impacts of its activities.
On the firm’s website one can easily download the Code of Ethics, Environmental Policy and the
Sustainable Development Plan where the sustainable goals of the Company are clearly stated.
Since 2004 X spa is complying with the UNI EN ISO 14001 requirements by implementing and
maintaining an effective Environmental Management System. In 2005 the firm undertook some
LEED (Leadership in Energy and Environmental Design) certified projects, afterwards X spa
decided to certify itself with the FSC and the GREENGUARD certifications. More recently, in 2010,
259
the Company started to perform the LCA (Life Cycle Assessment) of its products and the following
year it computed the Carbon Footprint of its activities.
The interest of the Company towards Sustainability emerged also from the answers that the firm’s
Responsible for Internal Management and Control Systems gave to the “Survey on the
sustainability in the furniture industry” in the month of July 2016. Given the great care of the
Company to the Sustainability theme, I’ve asked the person who completed the questionnaire for
a meeting in order to deepen the topic of the Sustainability in the office furniture industry. The
interview aimed at understanding the reasons behind the answers given to the survey’s questions
and the direction taken by sustainability in the office furniture sector.
Firm’s characteristics
The Person I interviewed started his career in X spa as a Product Designer, afterwards he became
the Responsible for the Internal Management and Control Systems. Moreover since 2000 he is in
charge of the management of the Quality System and since 2007 he is also taking care of the
Environmental aspects of the Company. He is also member of the Commission of FederLegno
Arredo Assufficio which is the branch of FederLegno dealing with the office furniture and where in
the last years Environment has become a crucial theme.
X spa is located in Turate (CO) and all its suppliers and partners are situated within 300 Km from
the Company’s headquarters. The Responsible interviewed explained that this is a cultural choice:
indeed Brianza furniture manufacturing cluster is quite old-fashioned and mainly all the contracts
are stipulated verbally by the Companies’ holders. X spa works with more than 5000 suppliers, but
only 50 of them could be considered “strategic partners”. Most of them are small manufacturers
who are entirely dedicated to X spa because the Company provided them with the facilities, the
materials and the assets necessary to work. In some cases the suppliers previously worked in X
spa and then decided to start their own business with the support of the Company. All X’s
suppliers must prove trustworthiness and loyalty towards the Company especially in order to
minimize the threat of plagiarism, moreover the suppliers must guarantee flexibility and
responsiveness. The Company shares its suppliers with Citterio and Dada, which are all part of the
Molteni & C group, and, according to the workload of each of group’s members, X spa could ask
to allocate part of its production to one or more of its partners in order to have a constant
availability of production capacity. The suppliers provide the Firm with aluminum, steel, glass and,
in some cases, wood. The lead times and the costs of the suppliers are variable, especially
according to the type of material they provide: for example the processing of aluminum is a more
260
expensive and time consuming activity than the glass processing, consequently the aluminum
providers are a greater number with respect to the glass ones in order to have a continuous
availability of material. X spa outsources around the 70% of its total production, in particular the
Company internally realizes only the woody products, while it relies on external contractors for
the realization of the glass, steel and aluminum components.
The Company produces on a “make to order” basis because the products are very customized.
The production is partially outsourced: the glass, aluminum and steel components are produced
externally and then delivered to the Company to be assembled, internally there are only the wood
processing, wood finishing, assembling, packaging and delivery phases. The demand of X spa is
characterized by 4/5 big annual orders which commit the Company for some years and absorb the
major part of the production capacity. The remaining part of the year is characterized by several
minor orders which are much less costly and time consuming.
X’s customers are mainly Architects and Designers who are in charge of designing and furnishing
the buildings. The Company doesn’t spend many resources on marketing or to advertise its
activity, because it relies on the word of mouth between customers: indeed thanks to the several
past collaborations with notorious Architects and Designers, X spa is highly regarded in its sector
and it is considered a market influencer by its competitors. For the same reason the Company
doesn’t show its products in showrooms or self-owned shops, indeed X spa benefits from a
number of offices, located in different countries, where clients sign contracts and meanwhile they
can have an idea of the Company’s work. The main offices are located in London, New York,
Dubai, France and Australia. In Italy the Company delivers its products thanks to a number of
resellers located all over the Country, through these shops also the individual customers have the
possibility to buy a X’s product, indeed these small furniture shops sells mainly single pieces, while
the offices serve for the big orders.
Sustainability as a competitive factor
In the “Survey on the sustainability in the furniture industry” the Responsible for the Internal
Management Systems indicated the Environmental Sustainability as a necessary condition to
operate in Our sector and the Social Sustainability as not strategic but still desirable characteristic
("nice to have"). The reason behind this differentiation is that the Company works exclusively with
Italian suppliers and contractors, as such they are forced to respect the Italian regulations on the
social working conditions which are already widespread among the Italian industries. Accordingly
X spa is confident that all its collaborators comply with the social law standards and allocate a
261
limited amount of resources to this question. Conversely Italian regulations on the Environmental
Awareness are still at an embryonic phase, at the same time respect for Environment is one of the
main requirements of the office furniture industry’ customers and it is a necessary characteristic
in order to successfully compete on the market, so it requires greater attention than Social issue.
The Responsible interviewed compared the Environmental and Social Sustainability factors with
some of the most important corporate competitive factors: he considered the Environmental
sustainability the most important competitive characteristic together with the Quality of the
service, while he accounted the Delivery time and the capability to offer the product at a low
price as secondary with respect to the first two. He concluded saying that Social Sustainability
could be considered one of the last competitive factors of the Company, just after the capability
of offering a wide products’ range.
Drivers, Sustainable Practices and Performance
The Company has a long story of Environmental Policies and Codes of Ethics, but only recently X
spa decided to introduce an Environmental Management System into the firm, in particular the
Company chose to subscribe the ISO 14001. Consequently the firm performed a number of
activities and initiatives to comply with the ISO 14001 certification. Having said this we can easily
understand why Central and regional governmental Environmental regulations have been
indicated in the survey as one of the main and most important drivers that led X spa towards a
Sustainable approach to business. Another important contribution to the transformation of the
Company came from customers, who, in the last years, asked for increasingly sustainable
products. In order to satisfy these new requirements, X needed to upgrade its Environmental
Policy and progressively integrate the market requests.
The company is particularly concerned about the Green Design practices, as reflected in the
answers given to the “Survey on the sustainability in the furniture industry”. X spa is continuously
improving its practices and it is always open to innovation: for example the development of the
Green Design practices and its establishment inside the Company is the result of the continuous
integration of the customers’ requests of more Sustainable products. X’s products are easy to
disassemble in order to facilitate the disposability at the end of their life and to minimize the
interventions during their lifetime. The products are very long-lasting: they usually last over 30
years and in some cases, at the end of their lifetime, they are recovered for a domestic use.
The Company also improved its emissions performance since it recently substituted all the paints
containing solvents with water soluble paints. Moreover the firm reduced the use of glues in the
262
production process and modify the process in order to minimize the paints’ scraps. X spa relies on
its own suppliers and partners for the recovery of the wood, aluminum and glass wastes, while it
internally performs a correct waste collection for what concerns paper and paperboard. The firm
uses recycled materials in its production process, such as chipboards, and relies on third entities
for the recycling of the aluminum and the glass.
X’s suppliers are constantly monitored, especially for what concern their environmental
performance. The most of the Company’s suppliers are small businesses, so X doesn’t expect that
all its partners are ISO 14001 certified, but it still demand the compliance with given
environmental criteria. The Company manages the orders for the materials together with the
suppliers so that the environmental impact of the processing activities is minimized. For example
X spa decides together with its suppliers the dimensions of the aluminum bars to buy in order to
minimize the scraps at the end of the production process. The same level of collaboration can be
observed with the Company’s customers: indeed the relationships between the firm’s holder and
the Designers and Architects who collaborate with X are very personal. The Responsible
interviewed underlined the fact that sometimes clients make unreasonable requests and often
the reason is that they have not a clear idea of the concept of Sustainability. Therefore often the
task of the Company is to educate the costumers on this theme and lead them towards more
sustainable choices.
For what concerns the packaging and the delivery activities, the Company tries to minimize the
need for packaging and in any case it uses mostly recyclable materials so that it has the possibility
to recover and recycle the packaging materials. The products that are part of a big order are
usually delivered through woody pallets which are subsequently recovered by X spa.
The last part of the questionnaire was dedicated to the corporate performance pattern during the
last year. The Responsible confirmed that in general the performance improved during the last
year, especially for what concerned the employees’ satisfaction which has improved a lot since
the firm substituted the old paint with the water soluble paints. Furthermore the air conditioning
plant has been recently substitute and consequently the working environment has improved a lot.
Finally X spa contributes to build an underpass that connects the neighbouring town with the
production site, this initiative was also very much appreciated by the Major of the City who wrote
a letter to X to express its gratitude. The level of employees’ satisfaction is measured through the
fulfillment of periodic questionnaires and the Safety department is in charge of checking that
adequate working conditions are always guaranteed. The Company has frequent contacts with
263
the local communities who are quite satisfied by the performance of the firm. The relationships
with the local communities have always been direct, primarily because X spa was one of the first
companies who settled in the industrial area of Turate and consequently it established stable
relations with the members of all the neighbouring communities. Finally the transport costs that
have been improved during the last year, mostly because the Company substituted the old
vehicles with newer and more efficient ones and also thanks to the cooperation with the suppliers
for the optimization of the delivery spans.
X spa is a very dynamic company, it continuously improves its performance and constantly
upgrades its Environmental Policy. During the last years it implemented several initiatives aimed
at enhancing its Environmental performance: for example the Company recently substituted the
older big boiler with three new boilers with different powers in order to optimize their use (which
is more intense in winter and less in summer). The firm is also considering to invest in the LED
technology in order to substitute the current 9000 fluorescent lamps, even if this means a
significant economic investment the Company is aware that this intervention would also lead a
consistent Energy improvement.
264
Trascrizione dell’intervista: Pratiche di
sostenibilità nella filiera dell’arredamento
Legenda:
A: intervistatore – Flavia Ricetti
B: intervistato – Arch. X
Inizio trascrizione
A: Allora io le ho portato una copia del questionario che lei ha compilato che servirà poi per
rispondere ad alcune domande, e la traccia dell’intervista che le avevo già anticipato per mail.
Oggi faremo più che altro una chiacchierata prima in generale riguardo l’azienda per inquadrarla
un po’ e poi scenderemo più nei dettagli della catena di fornitura e della produzione.
B: Certo le premesse sono fondamentali per capire perché ho risposto in un certo modo alle
domande del questionario.
A: Esatto, appunto quindi se per cominciare mi vuole dire qual è il suo ruolo all’interno
dell’azienda e da quanto tempo ricopre questo ruolo e se mi dice in due parole com’è organizzata
l’azienda cioè l’organigramma aziendale.
B: Allora io sono il responsabile dei sistemi di gestione che significa non responsabile qualità, non
responsabile dell’ambiente ma colui il quale gestisce il sistema, chi prende le decisioni è il
responsabile dell’ambiente che è un signore che si occupa anche della sicurezza insomma è un
dirigente, e il direttore generale che ha in mano la qualità. Loro prendono in mano le decisioni su
come organizzare l’azienda io gliele metto sulle procedure, faccio la descrizione diciamo cartacea,
fisica, documentale del sistema. Prima di fare questo sono stato un designer semplice cioè
disegnavo i prodotti che i clienti chiedevano, li facevo produrre, li installavo sul cantiere, questo
dal 97 al 2006 circa. Dal 2000 mi occupo del sistema di gestione qualità che è quello della gestione
aziendale, e dal 2007 circa dell’ambiente. Per cui nel 2010 ci siamo certificati ISO 14000, quindi
dal 2007 al 2010 ho messo insieme il sistema di gestione ambientale e nel frattempo poi ci sono
tutte le certificazioni ambientali come FSC poi c’è una certificazione di prodotto a bassa emissione
di solvente che si chiama GREEN GUARD. Poi nel 2005 abbiamo fatto i primi progetti certificati
LEED che è una certificazione di edificio, per cui tra i requisiti c’era FSC, la GREEN GUARD e il Life
Cycle Assessment, per cui dal 2010 circa abbiamo iniziato a fare LCA dei prodotti e nel 2011
abbiamo fatto un Carbon Footprint che è una parte dell’LCA, in realtà abbiamo fatto un LCA intero
insieme al ministero, adesso stiamo conducendo altri LCA per arrivare a dire che l’LCA.. serve a
poco. Serve a poco nel senso che una volta fatto su un certo tipo di prodotto lo puoi applicare su
tutta la famiglia. Cioè analizzi la filiera scopri cos’è nella tua filiera importante, per cui diventano
molto diciamo insignificanti degli aspetti a cui tu hai dato importanza per scoprire che altri a cui
non avevi dato importanza sono più rilevanti dal punto di vista dell’impatto, per cui l’azienda si è
fatta una certa idea di come i suoi prodotti impattano e soprattutto la cosa fondamentale è che il
prodotto deve durare molto nel tempo per cui significa acquistare meno prodotti e quindi
265
inquinare di meno. Allora diciamo che questa è un po’ la mia presentazione, cioè io sono un po’
trasversale perché ho fatto il progettista e poi nel mezzo mi sono trovato il sistema qualità in
mano. Nel frattempo appartengo alla commissione tecnica di FederLegno Arredo Assoufficio che
sarebbe la branca di FederLegno che si occupa dell’arredo per gli uffici e nella commissione
tecnica faccio, come gli altri miei colleghi da altre azienda, mi occupo appunto delle gare
d’appalto piuttosto che di vari progetti relativi alla parte tecnica dell’ufficio dove ovviamente
l’ambiente è diventato preponderante. Prima c’era un mio collega che se ne occupava, ma non
avendo più tanto tempo mi ha passato la palla anche perché si parlava di ambiente quindi
sapendo che io conoscevo l’argomento.. insomma è arrivato il mio momento con la ISO 14000,
con le vernici, i legni ecc.. e quindi diciamo che ho cominciato ad affrontare gli argomenti anche
da quel punto di vista. Siamo anche soci in UNI per cui io partecipo ai tavoli dell’UNI però diciamo
che è un attività parallela anche perché non ci sono norme grosse a cui partecipiamo, noi siamo
nella commissione Mobili e nella commissione Mobili per ufficio insomma mobili in generale. Le
norme relative a quel settore passano per la commissione legni (?). Allora l’azienda è nata nel ’73.
Nel 69 veramente però comunque con una serie di passaggi fino a che è diventata quella che è
adesso. Ha cominciato con una commessa, che era.. il gruppo Molteni & C fa mobili per la casa,
noi facciamo parte del gruppo della Molteni, la Molteni ha acquistato una piccola azienda che
faceva mobili per ufficio qua vicino, a Rovello Porro, che apparteneva ad un privato per fare una
commessa di mobili per ufficio e si trattava della sede dell’IBM a Segrate disegnata da Bob Noorda
che ha disegnato questo mobile molto semplice, con un profilo in alluminio, pannelli in nobilitato
quindi truciolare rivestito di carta melaninica. Cominciando con quel prodotto, abbiamo fatto la
serie di IBM a Segrate e la IBM centrale ha chiesto “ma chi sono questi?”, Bob Noorda è un
progettista internazionale di fama, per cui era abbastanza conosciuto. Bob Noorda ha disegnato
per esempio la comunicazione della metropolitana Milanese, ed era nello studio dove c’era anche
Vignelli che è un altro graphic designer, ma anche di prodotto e architetto, degli anni ’70 che ha
fatto il logo della Knoll, la mappa della Metropolitana di New York tanto per dire. È uno stile molto
rigoroso, rigido forse non è giusto. E il suo studio di chiamava Unimark! E Bob Noorda è stato
diciamo colui che ha cominciato la produzione di mobili per ufficio per noi, per tanti anni il nostro
stabilimento produceva pannelli squadrati e bordati già rivestiti di carta melaninica con bordo in
plastica applicato, profili di alluminio molto semplici, quindi si faceva tutto in questo stabilimento.
Negli anni 80 poi è stato creato questo stabilimento con la filiera di quel prodotto. Ed era un
prodotto molto standardizzato, con un catalogo molto ben definito, dove le quantità andavano
perché diciamo che era un prodotto che a quei tempi funzionava, insomma economico con delle
buone caratteristiche di progettazione e un materiale abbastanza buono e di qualità. Tra l’altro il
truciolare di quei tempi era un buon materiale anche perché erano gli scarti del legno agglomerati
insieme, ma erano comunque scarti del legno di buona qualità: il pioppo, l’abete, ecc.. negli anni
80 l’azienda ha cominciato a ricevere richieste dai clienti sempre più varie, tra cui sistemi di
pannelli, mobili contenitori, per cui le tecnologie dell’alluminio, del ferro e del vetro sono
cominciate ad entrare in azienda. In particolar negli anni 80 abbiamo cominciato a fare partizioni
divisorie. Quando tutti facevano mobili contenitori che arrivavano al soffitto, erano degli armadi
con un piccolo sopraluce cioè un attacco di vetro fra il mobile e il soffitto per chiudere diciamo il
tamponamento, e la X è andata in fiera con un sistema totalmente vetrato, cioè profilo di
alluminio, lastra di vetro fino al soffitto, per cui lo spazio si apriva totalmente, anche per fare
entrare diciamo la luce all’interno dell’edificio e dare prestazione sia di privacy per il suono sia di
266
luce senza dover usare l’illuminazione artificiale. Per cui che succede, quello è un prodotto su
misura, non è un prodotto speciale, non è un prodotto di serie, ma un prodotto che fai con il
metro da sarto. Cominci con le pareti, poi i pannelli, poi cominciano ad arrivare anche gli armadi
su misura e l’azienda ha cominciato a perdere la sua caratteristica di azienda che produce a
catalogo ed è diventata sempre di più orientata verso i progetti. Per cui dagli anni 80 in poi, anche
prima comunque, c’erano dei grandissimi progetti che catalizzavano l’attenzione dell’azienda e
poi una serie di piccoli ordini con tanti prodotti con tanti prodotti come succede ancora adesso. In
genere, adesso forse le proporzioni sono un po’ cambiate, ma ci sono 5 grandi commesse l’anno,
4/5 commesse che ti prendono tutta l’energia e poi tutta una serie di lavoretti più piccoli.
A: Scusi se la interrompo. Quindi possiamo dire che la domanda dell’azienda vede grandi picchi
annuali e poi periodi con solo piccoli ordini?
B: Diciamo che l’anno è corto! In realtà i progetti durano più di un anno, per cui ci sono dei
progetti in 4 anni, dove cominci ad investire 4 anni prima e finisci di fare il lavoro 4 anni dopo. Per
cui queste 4 commesse l’anno sono diciamo il 70%-60% del fatturato. Per esempio in Italia, qua
(nel questionario) ho scritto 67mila che è l’ultimo fatturato, l’Italia è i 25%, il 75% sono gli altri
Paesi. Un anno gli Stati Uniti fanno il 15%, un altro anno il Giappone che fa il 15%, un altro anno è
l’Australia, un altro anno è l’Inghilterra. In realtà sono due commesse, per cui ti prende il 10% con
due commesse. Abbiamo fatto per esempio l’anno scorso era l’Italia, ma c’era Intesa San Paolo
nel grattacielo che ha fatto Renzo Piano, dove c’erano già due anni di lavoro, erano 400 tavoli con
6 persone, cioè 2400 posti di lavoro. Quindi abbastanza impegnativo anche come logistica anche
se in Italia. Tra qualche anno ci sarà un’altra grande commessa che non cito fino a quando non la
facciamo giustamente, anche perché non si sa mai cosa può succedere: tra i nostri clienti
possiamo annoverare Lehman Brothers.. che prima di iniziare a fallire devono fare danni! Poi tutti
i mobili sono stati presi e venduti a qualcun altro. Quando facciamo progetti come quelli posso
citare tranquillamente sia Intesa San Paolo, sia Bank of America per esempio che era New York,
sono clienti che hanno grossi edifici per i quali viene fatta la certificazione LEED, per cui c’è questa
certificazione americana di mobili che si è sparsa un po’ in tutto il mondo non so se la conosce la
LEED: Leadership in Energy and Environmental Design, comunque negli Stati Uniti esiste questa
LEED, per cui c’è un librone-linee guida con il rating system, per cui l’edificio per essere giudicato
deve rispondere di questi requisiti, e per ogni requisito si da un punteggio. Cioè questi criteri,
come si dice, crediti. Per cui per esempio sito sostenibile oppure sfruttamento dell’acqua, qualità
dell’aria interna, provenienza dei materiali, quantità di materiale riciclato, c’è tutta questa tabella
per cui noi contribuiamo a tutti questi punti. Tra gli aspetti che vengono richiesti c’è: Legno
certificato FSC, quindi FSC all’inizio era proprio FSC non era legno certificato, era specificatamente
quello perché non pensavano prendesse tanto piede quella norma e superficialmente hanno
messo un solo schema di certificazione. Poi prodotti basso emissivi, per cui c’era una
certificazione che si chiamava GREENGUARD e hanno messo quella, stesso errore perché
specificata quella non hanno specificato altre 10. Poi c’è quantità di materiale riciclato,
provenienza dei materiali per cercare di fare km0 cioè nel raggio di 500 miglia che sono 800 Km.
Per cui questi paletti che avevano messo, il primo progetto che abbiamo fatto era del 2005 alla
British Columbia University Canada, che ci hanno fatto vedere sta roba, io ho visto le richieste e
ho pensato “ma chissà che cavolo gli dobbiamo dire a questi”. Ho chiamato il fornitore e faccio
“senti, quanto ferro riciclato c’è nella nostra lamiera?” e mi risponde: “no no tutta roba buona!”
267
vabè.. da lì è nato il problema: come facciamo a dichiarare il contenuto dei prodotti in maniera
attendibile? Cioè se chiamo il fornitore e mi risponde in questa maniera rischio di dare
informazioni un po’ vaghe no? Per cui la cosa che abbiamo iniziato a fare già dal 2005 è calcolare
quanto materiale c’era nei prodotti, perché in qualche caso lo sappiamo in altri casi è un pochino
più vaga la cosa, per cui i miei colleghi che fanno sistemi di partizione, comprano il vetro,
comprano l’alluminio e sanno quanto scarto c’è quando tagliano i profili di alluminio in azienda,
non in cantiere perché in cantiere non tagliamo niente, noi mandiamo i prodotti già anche
assemblati, arriva sul cantiere, levi l’imballo e arriva il mobile così già assemblato, spediti anche
negli Stati Uniti perché conviene economicamente. Praticamente dal 2005 abbiamo cominciato a
raccogliere i dati e abbiamo delle quantità registrate per ogni tipo di mobile, nonostante noi
cambiamo continuamente disegno dell’arredo del componente, abbiamo difficoltà ad avere
prodotti a catalogo, facciamo sempre cose su misura perché questi qua si svegliano, questi
sarebbero i progettisti, cominciano ad inventarsi qualcosa di innovativo ed essendo la fornitura
abbastanza corposa, ci ritroviamo a sviluppare un prodotto che è venduto ad un cliente, quindi
l’anno prima della produzione dell’edificio, noi sviluppiamo gli arredi, loro li approvano e poi li
andiamo ad installare sul cantiere. È successo così per parecchi prodotti, per esempio c’è un
tavolo che si chiama “Less” che è di Jean Nouvel che è un architetto francese, doveva fare la
fondazione Cartier nel 93 che è un gioielliere, ha creato l’edificio e dentro sono stati forniti i tavoli
a disegno suo che poi sono diventati prodotti di serie che vende anche la Molteni oltretutto per la
casa, anche perché sono per ufficio ma non si capisce, anche perché per essere per ufficio sono un
po’ sul generis. Totalmente in ferro erano, quindi lamiera in acciaio verniciata e adesso sono
diventati totalmente in alluminio, dove in qualche caso entra anche il legno, però ci troviamo ad
avere a che fare con materiali che non c’entrano nulla con la filiera nostra, per cui abbiamo
indagato questi aspetti. Detto tutto questo, penso che dobbiamo tornare a qualche domanda
giusto per capire.. il motivo per cui per esempio, vabè il fatturato, i dipendenti vabè 198, in realtà
noi abbiamo una filiera molto grossa perché noi condividiamo i fornitori con la Molteni e la Dada
che fanno mobili per la casa e mobili per la cucina. Per cui quando abbiamo una grande
commessa, c’è il tavolo, il pannello, la cassettiera, il mobile contenitore, allora il tavolo lo
facciamo noi, la cassettiera la facciamo fare ad un terzista che fa la lamiera tagliata che lavora per
noi, ed è un grosso carpentiere metallico per cui lui ha delle macchine nostre, del materiale
nostro, compra delle macchine su nostra richiesta, è un partner praticamente. Il mobile
contenitore lo può fare un fornitore nostro, per cui la Molteni che fa mobili contenitore, anche, se
noi abbiamo un picco di lavoro ci può produrre delle cose. Come la Citterio che fa sempre parte
del nostro gruppo, per cui noi andiamo da un nostro fornitore che poi magari è parte del gruppo e
gli diamo da fare questi pezzi.
A: Ok, rimanendo sempre sui fornitori che lei mi ha detto che condividete con altre aziende del
gruppo, avete diverse tipologie di fornitori? Mi spiego meglio: dividete i fornitori in “abituali” cioè
che fanno il prodotto standard, basic e poi avete altri fornitori, chiamiamoli “speciali”, che
vengono attivati quando c’è bisogno di un componente particolare che però non sempre viene
richiesto? Esiste questo tipo di separazione?
B: Allora tutti i contratti sono fatti a stretta di mano più o meno. Facciamo un esempio: noi
facciamo alluminio estruso, usiamo tonnellate di alluminio estruso. Quindi il produttore e il
fornitore dell’alluminio è una ditta che fa estrusione di alluminio, ne abbiamo 2. In qualche caso
268
fanno lo stesso disegno di estruso e ce ne danno due contemporaneamente quando le quantità
diventano troppe. Ci sono degli estrusi che ne facciamo tanti per cui conviene avere due fornitori
capaci di farlo così riusciamo a rimanere nella tempistica necessaria. Dopo aver fatto l’estruso c’è
il terzista che è colui che lavora l’alluminio, quindi io divido i terzisti dai fornitori, poi sono sempre
fornitori però il terzista invece riceve l’alluminio e lo finisce, quindi lo brillanta oppure lo vernicia e
poi viene fresato e preparato per diventare un componente. Chi fa la fresatura è nella categoria
dei fornitori quelli che lavorano l’alluminio estruso e sono diversi, ce ne sono 5 o 6, forse quelli
principali sono 2 o 3, ma sono 5 o 6. Perché se devo fare un prodotto vado da un fornitore, un
altro prodotto vado da un altro e quindi per prodotto la filiera si ripete.
A: Si dividono i fornitori a seconda del prodotto?
B: Si perché lui è specializzato a fare quel prodotto. Però molto spesso può capitare che, siccome il
pannello va insieme al tavolo, quello che lavora gli estrusi del tavolo è uno, quello che fa quello
del pannello è un altro, in modo da avere la capacità produttiva sempre disponibile. Quando noi
abbiamo più fornitori che lavorano su una commessa, partono in quattro per darti un prodotto
che deve arrivare in 3 mesi per cui se ce ne fosse uno solo ci sarebbe il collo di bottiglia, che c’è
comunque anche se sono 4, quindi insomma rimane il problema. Quindi per esempio i vetrai sono
di meno perché il vetro è più facile da lavorare, l’alluminio è molto complicato e quindi ne
abbiamo 5 o 6. Poi per il legno ce ne sono molti più disponibili qua intorno, la posizione in cui ci
troviamo è vicina alla Aermacchi, alla Busta (?), per cui c’è una filiera di lavorazioni meccaniche
che sta lì verso Varese, una filiera di Brianzoli che fanno mobili, poi i vetrai si trovano un po’
dappertutto perché il vetro viene dalla Francia quindi non è complicato. Per cui diciamo che
questo di lavorazioni vengono da aree specifiche dove abbiamo trovato dei partner che sono
aziende che lavorano principalmente per noi, in qualche caso erano piccoli, li abbiamo fatti
diventare grandi dandogli un capannone, per cui gli abbiamo affittato, diciamo, il capannone e
loro lavorano a casa nostra, ci pagano l’affitto, hanno le macchine nostre, hanno il magazzino
nostro, fanno i loro lavori che magari sono.. per esempio c’è un fornitore che fa le spazzole per i
generatori di elettricità delle pale eoliche che sono della roba di ferro, lamelle che vengono
saldate insieme, lui le fresa, le lavora, fa roba gigantesca, le travi dei treni ecc.. e poi si mette a
fare i prodotti per noi con delle macchinette piccole perché ce le ha là. O altri che fanno solo
lavori per noi con macchinette piccole perché li riempiamo talmente tanto di lavoro che diciamo
che crescono intorno all’azienda.
A: Quindi fornitori dedicati anche interamente a voi?
B: Esatto, tutti in Italia, tutti nel raggio di 300 Km salvo qualche eccezione
A: Quindi tutti qua vicino, questo era anche un punto toccato dal questionario, non so se ricorda.
La scelta di rifornirsi da fornitori vicini è guidata da ragioni di riduzione dell’impatto ambientale o
è una scelta meramente economica in quanto più conveniente?
B: No no no è una questione esclusivamente culturale. Cioè l’ingegnere titolare dell’azienda,
stringe la mano al fornitore e si deve fidare, perché noi abbiamo problemi più che altro non di
costi o di impatto ambientale, abbiamo problemi di fiducia perché il disegno dei prodotti viene
copiato in continuazione. Per cui si preferisce magari avere un fornitore di cui fidarsi che
269
soprattutto ci da l’elasticità che ci serve. Siccome l’azienda ha un potere finanziario abbastanza
forte, praticamente se arriva una commessa di un certo peso viene investito del denaro da parte
del gruppo, per cui per riuscire a fare quelle cose devi avere dei fornitori principalmente affidabili.
Quindi loro comprano moltissimo materiale, noi compriamo l’alluminio all’inizio dell’anno quando
si abbassa il prezzo, compriamo l’alluminio ordinandolo dal fornitore, quando ci serve lui ce lo
estrude nel disegno che ci serve e facciamo quel prodotto. Quindi è tutto basato sulla fiducia, io
ho detto culturale per dire che il brianzolo probabilmente si comporta tradizionalmente in questo
modo e va in secondo piano tutto il resto. L’ambiente, la scelta ambientale non è propria
dell’azienda o meglio lo è perché è il prodotto che facciamo che lo richiede, nel senso che nel
mobile per ufficio, rispetto al mobile per la casa, l’aspetto ambientale è molto considerato dal
cliente ed è il cliente quello che comanda. Quindi il cliente ci dice io voglio una roba e noi
facciamo come dice lui. Il problema è che il cliente non ha sempre la cultura adatta per capire qual
è la scelta migliore, e il cliente di solito è il progettista, cioè l’architetto che disegna l’arredo,
disegna l’edificio e ci chiede quello che ha pensato lui. Noi siamo in parte influenzatori di mercato
perché siamo un’azienda di quelle in vista diciamo, per cui tutti i nostri concorrenti ci corrono
dietro. Oggi mi è capitato di vedere i prodotti di un concorrente economico con un altro livello di
fatturato, che fa i prodotti come i nostri, quindi se noi decidiamo di usare una finitura piuttosto
che un’altra, ci copiano tutti, per cui alla fine sei un influenzatore di mercato. E così i progettisti,
per cui quando capita Michele De Lucchi che è un altro architetto molto conosciuto che lavora
insieme a Renzo Piano ovviamente tutti gli altri architetti gli vanno dietro. E abbiamo la fortuna di
avere il nostro titolare che ha un rapporto diretto con i progettisti. Cioè noi non facciamo molto
marketing perché gli architetti atterrano con l’elicottero qua davanti! Per cui il nostro titolare che
ormai è una persona conosciuta nell’ambiente perché ha fatto queste commesse di rilievo, perciò
“sparlando” escono questi argomenti. Però ovviamente chi decide non è soltanto il capo, ci sono
centinaia di persone dietro lo studio di Renzo Piano e il mio capo pure, per cui ovviamente questi
argomenti io li racconto per esempio al titolare con cui abbiamo un rapporto diretto perché siamo
una piccola azienda non siamo tanto grossi. E quindi saltano fuori FSC, riciclaggio, LEED ecc.. nei
discorsi di tutti i giorni e quando dobbiamo fare le scelte le facciamo anche valutando l’aspetto
ambientale che potrebbe avere anche dal punto di vista del marketing ovviamente. Però è il
mobile per ufficio che lo fa, non è una scelta.. il mercato stesso diventa sensibile all’ambiente e
guida i produttori perché noi facciamo quello che ci chiedono. In qualche caso ci chiedono cose
incongruenti nel senso che, per esempio il legno che è fondamentale nell’arredo anche come
finitura, dal punto di vista economico, per esempio un pannello di truciolare adesso non ho in
mente la conformazione, però il tranciato che sarebbe il foglio di legno che va applicato sul
truciolare, sotto è di un’essenza e sopra di un’altra normalmente, cioè la contro placcatura cioè la
parte che c’è sotto è un foglio di 6 decimi di millimetro di tanganica o di frassino e sopra in questo
caso di acero moro. Il rovere per esempio che sarebbe la quercia, arriva a 6€ circa al metro
quadro, la contro placcatura 0,50€, quindi dal punto di vista economico la parte bella costa
tantissimo, il truciolare costa ancora meno e la contro placcatura costa meno ancora per cui
quello che conta di più economicamente è la placcatura. Ma se ti chiedono un legno africano
difficile da reperire e tutt’altro che rispettoso dell’ambiente, perché ci sono persone che vengono
uccise per vendere quel cavolo di legno e il cliente che ti costringe ad usare quel legno ti fa fare
una scelta assolutamente anti-ecologica e anche anti-sociale. Per cui noi diciamo che iniziamo il
cliente cercando di non fargli commettere quel tipo di errore, perché siamo in un momento in cui
270
ce lo possiamo ancora permettere però non sempre funziona, cioè certe volte ti chiedono il
tanganica e tu gli devi dare il tanganica.
A: Sempre per quanto riguarda i fornitori, lei nel questionario ha indicato che il lead time di
fornitura varia molto, può spiegare meglio in che modo varia?
B: Allora noi parlando dei 3 / 4 fornitori che abbiamo, c’è quello che te lo fa in fretta e bene, e
costa poco. Quello che lo fa in fretta costa tantissimo, quello che te lo fa lentamente lavora
benissimo e costa pure tantissimo.
A: Quindi il lead time varia più o meno a seconda del fornitore
B: Sì noi abbiamo le nostre valutazioni dei fornitori, abbiamo il fornitore da scegliere per quel
prodotto, il fornitore da scegliere per quel tempo di consegna, per quel costo, per quel valore
della fornitura perché adesso stiamo usando l’alluminio brillantato che viene brillantato prima di
essere lavorato, se il fornitore non è capace di fare quel tipo di lavorazione non possiamo andare
da lui. Quindi chi fresa l’alluminio e deve trattare una barra a specchio e comincia a graffiarla devo
buttarla via, quindi non riesco a lavorare con lui in quel modo. Poi ci sono dei fornitori che invece
dobbiamo usare l’alluminio verniciato per cui può fare quello che vuole: è velocissimo, costa poco,
è bellissimo consegna subito, quindi lo scegliamo in funzione di quello. Dipende da cosa si vende:
se il prodotto è un prodotto con margine molto basso devi stare necessariamente attento ai costi,
se invece il margine è molto alto, il prodotto diciamo è di lusso come il tavolo direzionale, non
badi a spese, qui non conta il costo del fornitore, ma conta il risultato finale anche perché se ti
contestano un tavolo che costa tanto insomma non vale la pena. Abbiamo dei prodotti molto
costosi in qualche caso perché il cliente ti chiede insomma qualcosa di specifico.
A: Può spiegarmi brevemente come funziona il processo produttivo della X?
B: Allora all’interno dello stabilimento c’è soltanto: lavorazione del legno, finitura del legno in una
parte dello stabilimento, l’altra parte ha l’assemblaggio dei prodotti, l’imballo e la spedizione.
Quindi il prodotto, la parte in legno può essere per esempio un mobile costruito con spalla di
legno, schienale di ferro con la tapparella davanti, per cui ci sono diversi fornitori che arrivano va
tutto in assemblaggio e viene messo insieme. Quindi qualcosa viene da fuori qualcosa da qui. Per
cui abbiamo necessariamente dei fornitori esterni che fanno le altre componenti.
A: In che percentuale le componenti vi arrivano dai fornitori?
B: Molte componenti, diciamo che la produzione è al 70% fuori. Sì perché poi quando hai la
partizione vetro e alluminio è tutto fuori. Non c’è niente fatto internamente di alluminio e vetro.
Poi che il fornitore abbia il capannone nostro e lavori esclusivamente per noi è un altro discorso.
Quindi che succede che la commessa è fatta di tanti componenti quindi tutti quanti arrivano
contemporaneamente in spedizione, quindi sia i semilavorati che i prodotti finiti arrivano in
spedizione o vanno direttamente dal cliente o nel magazzino intermedio dove raccogliamo le cose
per mandarle. Generalmente lavoriamo per commessa, quindi la produzione parte quando c’è
l’ordine, se non c’è l’ordine non si fa.
A: Quindi non ci sono prodotti che voi tenete di norma a magazzino?
271
B: No, nessuno a magazzino. Cioè se ci fossero cose sono là in magazzino da un sacco di tempo
perché qualcuno le ha ordinate. No siccome facciamo delle commesse dove su 1000 pezzi , 10 in
più li fai perché se no rimani senza, quindi si cominciano ad accumulare quelle cose, rimangono in
magazzino per un po’ perché il cliente poi ne vuole riordinare 10 e ce le hai, anzi in qualche caso ci
viene proprio richiesto di mantenere noi un magazzino minimo in altri casi nel loro.
A: Anche qui, lei ha detto che il lead time di processo varia molto. Questa variabilità è ancora una
volta data dai terzisti che hanno tempi diversi? Invece per quanto riguarda la produzione che
avviene internamente allo stabilimento definirebbe il lead time molto variabile?
B: Sì, allora io ho fatto degli schemi sul consumo delle vernici per esempio no? Che nel reparto di
verniciatura ci sono dei picchi di due settimane per poi avere dei momenti di bassissima attività
dove vengono fatte le componenti dei lavori che verranno più avanti. Quindi dipende molto dalle
commesse che abbiamo, per esempio due anni fa con San Paolo ha lavorato il reparto
costantemente con un lavoro costante con turni perché c’era del lavori da fare, poi capita invece
che il lavoro scende anche perché noi all’interno dello stabilimento facciamo le parti in legno che
sono le più difficili, quelle che all’esterno sono economicamente sconvenienti, e come qualità
sono molto più elevata quindi il tavolo direzionale viene fatto all’interno.
A: Possiamo dire che il know-how viene custodito internamente quindi?
B: Sì, il know-how è all’interno dell’azienda poi ci sono delle lavorazioni speciali che facciamo
solamente all’interno perché fuori costerebbero troppo e non sono neanche attrezzati per farli.
Banalmente la fresa che entra nel legno e fresa il legno, va bene per il legno, se io comincio ad
utilizzare materiali diversi cioè plastiche, ecc.. devo cambiare utensile, quindi fai delle analisi su
quale utensile devi utilizzare, quante lame deve avere, a che velocità deve andare, ma una volta
che sei riuscito a trovare l’ottimizzazione te lo tieni lì e lo usi all’interno. Quindi molti lavori
vengono fatti dentro su un dettaglio che può essere il top di finitura mentre il resto viene da fuori
insomma, oppure il controllo visivo della qualità del prodotto per esempio il legno in allacciatura
quando viene composta ci deve essere qualcuno che dice va bene non va bene. Chi decide le
finiture dei tavoli è una persona addestrata che è stata scelta per fare questo.
A: é un controllo qualità quindi
B: Sì diciamo che è un controllo qualità in produzione, ma in quel caso è proprio la scelta del
materiale, per cui vanno a scegliere il legno, vedono quanto ce n’è se va bene per tutta la
commessa. Quando facemmo una commessa a New York del New York Times sempre di Renzo
Piano, ci fece comprare tutto il ciliegio che c’era sul mercato perché non andava più di moda e
quindi non ce n’era tanto in giro e noi avevamo montagne di ciliegio e ha fatto tutta la commessa
con questo materiale che poi è stato scartato in gran parte perché lui lo voleva rigato e invece
aveva l’occhio! E quindi dal punto di vista FSC sarebbe stato catastrofico perché io avrei dovuto
utilizzare in maniera ottimale il legno. In realtà la parte scartata è stata utilizzata come contro
placcatura sotto, come interno dei cassetti, dei mobili, per i ripiani ecc.. però questo comporta
comunque che per la parte bella devi fare un sacco di lavoro di selezione, e costa tantissimo
anche lì economicamente, ed è quello che facciamo normalmente qua dentro, fuori le cose che
possono andare più facilmente insomma dove non ti preoccupi tanto della qualità perché sai che
272
è facile da fare, quando sono difficili come queste si fa internamente. I tempi sono dettati
esclusivamente dal cliente.
A: Spostiamoci ora sulla parte finale della filiera: quali sono i vostri principali canali di
distribuzione? Avete negozi di proprietà?
B: Allora noi non abbiamo negozi, abbiamo degli uffici.. a Milano ce n’è uno che è il nostro ufficio
di Milano, non abbiamo lo showroom però c’è l’ufficio che è la filiale, poi ce n’è uno a Londra, uno
a New York, uno in Francia, Dubai e uno in Australia.
A: Ma parliamo sempre di uffici? Questi uffici fungono da showroom?
B: No sono più uffici che showroom, lo showroom dovrebbe essere enorme no? Quelli sono
proprio uffici dove va il cliente che è un architetto che progetta, va là e parla con un nostro
tecnico e fa l’offerta. Non abbiamo bisogno di altro. La Molteni ha uno showroom vero con i
prodotti, e così la Dada, la X fa la parte di mobili per ufficio, siamo sempre stati separati adesso mi
pare di aver capito che si uniscono insieme nel senso che mettono i nostri uffici all’interno di una
roba della Molteni-Dada. Però in realtà il nostro ufficio non fa altro che accogliere l’architetto, chi
c’è nell’ufficio sono architetti, e parlano del progetto. Quindi non c’è bisogno di uno showroom,
noi abbiamo praticamente una commessa adesso che è Bloomberg è un cliente che fa canali
finanziario e ha 5000 posti di lavoro, noi abbiamo fatto nel 2007 mi pare 5000 posti, e là a New
York c’era il mio collega, una persona, che parlava con il progettista perché poi i progettisti fanno
vari progetti, un anno sono su Bloomberg un altro anno sono sul New York Times, Bank of
America, lo stesso progettista con contractor, progettista e interior designer che fanno tutti un
lavoro poi un altro e un altro. Quando ci sono questi lavori per esempio un concorrente di
Bloomberg che deve fare l’arredo a chi lo fa fare? Alla X perché ha fatto Bloomberg. Quindi è
capace finanziariamente di farlo, quando ti chiedono sei in grado di sostenere un cliente con
5000 posti di lavoro, tu gli dici guarda io ho fatto questo, questo e questo in questi tempi e con le
stesse quantità, quindi riesco a fare anche il tuo ed è questo che convince il cliente. Perché in
realtà i canali che usiamo per la pubblicità sono una rivista, poi abbiamo un sito internet
abbastanza incomprensibile, poi la rete di vendita, per vendere il tavolo singolo è sufficiente il
negozio di Milano. Per i grandi progetti basta un ufficio. Praticamente negli uffici all’estero ci sono
tutte le commesse grosse, in Italia dove facciamo il 25% del fatturato salta fuori il mobile, la
cassettiera, il pezzo singolo. Allora là andiamo più sul micro, cioè sono le ditte, i piccoli rivenditori
che ci chiedono se possono rivendere il prodotto nostro e più o meno copriamo varie aree d’Italia
dandogli la possibilità di vendere il prodotto.
A: Questi ultimi quindi sono negozi di mobili?
B: Sì negozi di mobili, però dal punto di vista del marketing però che succede, che loro ci utilizzano
come specchietto delle allodole perciò devi stare attento a quali scegli, se ti da del lavoro o meno
se ti fa pubblicità o meno. Per cui noi già vendiamo le sedie, per cui tutta Italia viene da noi per
comprare queste sedie della Vitra che sono costose, loro hanno anche loro la loro rete di vendita,
ma le sedie gliele vendiamo noi perché noi non produciamo sedie, quindi abbiamo scelto le loro e
c’è questo accordo. Praticamente il negozietto vende un tavolo, un armadio, una cassettiera, fa
commesse anche da 10, quindi le aree dell’Italia sono coperte dai rivenditori e ci sono alcuni che
273
sono storici, altri che cambiano in continuazione perché non vanno bene e quindi ci comportiamo
in questo modo. Rispetto ad altre aziende italiane che hanno un fatturato più corposo, in Italia noi
magari ce l’abbiamo alto perché il prodotto è considerato di alta gamma, ha un valore maggiore
ma con quantità minori alla fine, adesso mi viene in mente Sinetica che è un copione del Veneto,
ma spudorato! Io guardo i disegni e esteticamente sembrano uguali, ma poi quando vai a vedere il
dettaglio ti accorgi che mica è così pazzo da farlo complicato come noi, cioè lo fa anche più
economico. Per cui copiano tutta la parte estetica che gli serve per vendere il prodotto, ha una
rete di distribuzione diversa, il nostro rivenditore dice “guarda questo è quello della X però io
tengo anche questo che costa di meno” e quindi riesce a piazzare più facilmente quelli.
A: Ora possiamo concentrarci sul tema principale dell’intervista che è la sostenibilità: sempre
riferendoci al questionario, lei ha indicato la Sostenibilità ambientale come condizione necessaria
per operare nel settore, e la Sostenibilità sociale come caratteristica non strategica ma comunque
desiderabile. Può spiegarmi perché ha voluto fare questa distinzione sottolineando la priorità
della sostenibilità ambientale?
B: La sostenibilità ambientale è più urgente della sociale perché lavorando in Italia con fornitori
italiani siamo coperti dalla legge italiana, se utilizzassimo fornitori stranieri: Pakistan, Cina, ecc.. ci
sarebbe il problema appunto di come vengono trattati i lavoratori delle filiere che sono parallele
alla nostra. Per cui scartiamo assolutamente la parte di responsabilità sociale perché siamo sicuri
che bene o male c’è un certo rispetto delle regole, almeno quelle europee, italiane. Ovviamente lo
verifichiamo anche perché abbiamo dei fornitori vicini quindi ce ne accorgiamo insomma quando
c’è un fornitore non affidabile che utilizza manodopera non qualificata o comunque sfruttata. Per
cui diciamo che lo diamo per scontato come tema. Mentre l’ambiente è diverso, ha un impatto
diverso e il cliente è abbastanza ignorante in materia per cui diciamo che ci chiede sempre tutto,
molto spesso chiede a sproposito senza sapere bene cosa sta chiedendo. Per esempio FSC lo
dicono, lo leggono, ma non sanno cosa chiedono. Un esempio è la LEED dove c’è la richiesta:
utilizzo di materiale certificato che non coincide con lo schema di FSC. La LEED si è evoluta nel
tempo, prima c’era una prima revisione adesso è uscita l’ultima revisione, ma utilizzano ancora la
revisione precedente per i progetti che sono iniziati con la revisione precedente. Per cui materiale
certificato non significa prodotto certificato, FSC mi richiede di rispettare una procedura: la catena
di custodia, materiale certificato con un certo schema. Il cliente non lo conosce quindi si
accontenta della mia dichiarazione. Quindi ci chiede FSC ma non sa come funziona FSC, quindi
magari riceve la fattura senza la dicitura FSC e non se ne accorge nemmeno. Ma se io cercassi di
spiegargli che è stato utilizzato materiale, ma non si può certificare perché un componente, non è
legno certificato, quindi non gli certificherò il prodotto perché un componente non è certificato
che sarà il 5% del prodotto che non è ammesso dallo schema di certificazione FSC e quindi non
posso emettere il prodotto come certificato. Lui si accontenta di sapere che il materiale è
certificato perché io ho la catena di custodia, ma non va a verificare approfonditamente. Quindi a
me è capitato parlando di LEED di litigare col cliente che non sapeva di cosa stava parlando,
perché di tutti i tecnici che erano seduti al tavolo uno solo capiva di LEED e nessuno capiva di FSC.
L’ultimo era proprio l’architetto che non capiva niente di quello che aveva scritto nel capitolato
perché aveva fatto copia-incolla. Quindi davanti a questa diciamo ignoranza che è diffusa è
difficile anche far capire al cliente di cosa si tratta, piano piano ci arriva. Tu glielo spieghi ma
davanti a certi comportamenti ti limiti a fare quelli. In particolare, cito sempre FSC perché lo
274
conosco bene, mi è capitato di fare delle commesse a clienti che non sapevano neanche di averlo
chiesto né di averlo ricevuto. Per cui loro hanno in mano la ricevuta con la dicitura perfetta ed è
stato fatto esclusivamente per provare la filiera dell’azienda, cioè se ci trovassimo a fare una
filiera FSC per bene, vediamo se funziona. Quindi redigere tutti i documenti, gestire i fornitori, i
terzisti, chi includiamo, chi escludiamo ecc.. e quindi diciamo che è stata una cosa più per noi che
per il cliente. Una delle commesse che abbiamo fatto è stato Ferragamo che ha fatto una serie
certificata LEED a Firenze dove abbiamo fornito noi X i prodotti della Citterio che è una nostra
consociata e non la Citterio direttamente al cliente è passata da noi. Quindi è come se noi
avessimo fatto un mobile a disegno per la Citterio fornito alla Ferragamo e pareti nostre invece.
Normalmente lavoriamo con prodotti loro perché sono più economici e il cliente quando vuole
qualcosa di più economico di parallelo al nostro mercato con finiture diverse o con forme diverse
va dalla Citterio. Per poter fare la commessa FSC nei tempi, nei costi ecc.. abbiamo venduto
fattura X, FSC perché noi abbiamo la catena di custodia e loro no. Ma loro sono nostri terzisti
all’interno della nostra filiera, perché noi li utilizziamo per fare commesse, per cui gli diamo
materiale nostro, loro lo lavorano e ce lo restituiscono. Ed è stato proprio un caso come quello in
cui il prodotto era disegno loro e per essere certificato è passato attraverso di noi, ed è stato
verificato dall’ente di certificazione, anzi l’ho fatto vedere “guarda questa qua è la commessa che
abbiamo fatto quest’anno” in genere facciamo una commessa l’anno. Siamo certificati dal 2008 e
ne facciamo 1 / 2 l’anno di FSC vere e proprie, perché non vendendo lo stendi panni della
FoppaPedretti che ne fai migliaia e le vendi in tutto il mercato italiano con il logo sopra, noi
dobbiamo fare commessa per commessa una filiera specifica, quindi diciamo che il cliente vuole
FSC, ma non sa di cosa sta parlando, vuole GREENGUARD ma non sa di cosa sta parlando, quindi
noi abbiamo cominciato ad affrontare l’argomento con clienti che sapevano di cosa stavano
parlando per poi riversarlo su altri. Cerchiamo di sensibilizzare i clienti ma anche i fornitori, i nostri
fornitori che non sanno neanche di che si tratta, che si ritrovano nella catena di custodia e quindi
firmano con noi un contratto, gli facciamo vedere la filiera, si ritrovano loro stessi poi a certificarsi
perché hanno scoperto di cosa si tratta.
A: Ora invece le chiederei sempre in merito alla sostenibilità ambientale e sociale, che sono fattori
competitivi abbastanza importanti per l’azienda, se dovesse metterli a paragone con altri fattori
competitivi come: avere un prezzo basso, una qualità alta, un’ampia gamma di prodotti, una
velocità di consegna alta, come li considererebbe? Più importante, ugualmente importante, meno
importanti?
B: Allora, tempi di consegna è molto specifico dell’arredo per la casa però fino a un certo punto,
cioè sì diciamo così il cliente la prima cosa che va a vedere, quando uno fa una commessa per
mobili per ufficio, c’è la capacitò di adattare il prodotto alle sue specifiche, però quando fa quello
va a guardare l’aspetto ambientale, quindi io metterei: prima ambientale, poi ci va il prezzo, poi
dopo ci va i tempi di consegna. Quindi: ambiente, prezzo e tempi di consegna. La sociale la
possiamo pure mettere in fondo, perché se lo aspettano.
A: Ok è un requisito di base quindi?
B: Sì di base, però quello che fa la differenza è la sostenibilità ambientale, soprattutto
ultimamente riferendomi all’Italia, ma anche all’estero, perché questo schema LEED negli Stati
275
Uniti si chiama BREAM, in Australia si chiama GREEENSTAR, a Dubai si chiama LEED come in
America, nel 2008 è nata la LEED Italiana diciamo cioè l’ente che fa la LEED si chiama US GREEN
BUILDING COUNCIL oppure CANADA GREEN BUILDING COUNCIL, in Italia si chiama ITALIA GREEN
BUILDING COUNCIL ed è uscita nel 2008 ed era il distretto tecnologico del Trentino che ha deciso
di adottare uno schema di certificazione americano per le sue case prefabbricate e ha cominciato
a diffondere la LEED in Italia e così pian piano si è diffusa. Siccome non gli hanno dato la possibilità
di fare una cosa regionale, hanno detto “no se volete fare una green building council dovete
essere italiane non potete essere regionali” perché si muove a livello di Stato, quindi sono stati
loro i primi a farlo, e noi abbiamo partecipato alla traduzione del librone americano nella versione
italiana, quindi diciamo che per la parte che riguarda i mobili, AssoUfficio ha partecipato alla
stesura di questo librone e noi sotto come X, come membri di una commissione tecnica. Quindi
l’ambiente, io l’ho messo fra i primi, in realtà sta fra i requisiti del prodotto, quindi la prima cosa
che ci viene chiesta soprattutto per noi è la possibilità di adattare il prodotto, la flessibilità del
design del prodotto, non tanto della filiera, ma anche della filiera di conseguenza.
A: E invece la qualità del prodotto dove la collocherebbe?
B: La qualità del prodotto sta là, cioè nel momento in cui il tranciato è di Rovere rigato è là, tutta
la qualità è nel materiale e nel rispetto dell’ambiente. Quindi diciamo è insita negli aspetti
ambientali, che rispettino o no l’ambiente eh, perché possiamo anche arrivare al nodo del
discorso: l’alluminio è un energivoro pauroso, ma veramente pauroso, se l’alluminio è molto
riciclato si risparmia tantissima energia. Un po’ come il vetro che per fare un kg di vetro da 0 ci
vuole 100, da riciclato ci vuole 20. Perché molto della filiera sta nella produzione della materia
prima. Lo stesso vale per l’alluminio, l’alluminio per essere ottenuto c’è l’elettrolisi nei bagni di
criolite liquida. Quindi praticamente si prende un metallo, si porta a fusione, all’interno di questo
metallo fuso c’è la migrazione della bauxite.. dell’alluminio dalla bauxite. Per fare quello bisogna
sciogliere un metallo quindi c’è la fusione con l’energia elettrica. Ed è diciamo la parte più
spaventosa del carbon footprint del prodotto, la parte del carbon è la parte in assoluto più
preponderante della nostra filiera. Cioè se andiamo a vedere la produzione dell’alluminio è quasi
l’80% dell’impatto nostro, cioè di tutti i materiali che noi usiamo l’alluminio è l’80%, nella fase
upstream che arriva da noi, quindi la preparazione della billetta che deve essere estrusa. Per cui è
inutile stare lì a guardare tanti aspetti quando sai che quello e l’alluminio ce lo chiede il cliente.
Noi compriamo dell’alluminio molto buono perché dobbiamo fare la finitura brillantata come i
nostri concorrenti. Per cui che succede? Che tagliamo quell’alluminio e lo riportiamo a fondere, ed
è alluminio molto buono, per cui diventa riciclato anche l’alluminio molto buono perché abbiamo
dello scarto di alta qualità. Per cui riusciamo a ri-alimentare la nostra filiera, perché noi abbiamo
un contatto diretto col nostro fornitore e in quel modo cerchiamo di abbattere il materiale. Già
ridurre la quantità del materiale dentro il prodotto è fondamentale e abbiamo cominciato a fare
tutta una serie di ottimizzazioni, primo perché ci risparmiamo anche noi dal punto di vista della
quantità del materiale e poi perché c’è una riduzione del peso del prodotto che significa riduzione
della quantità di materiale, riduzione dell’impatto. Però se non sai dove agire e guardi gli
indicatori sbagliati non sai dove andare ad intervenire, io so che il carbon footprint, quando
riesco, utilizzo del materiale molto riciclato perché so che risparmio molto come impatto
ambientale. E parallelamente risparmio anche sul prodotto, quindi diciamo che l’ambiente
diventa sempre il punto di riferimento perché, almeno negli ultimi 10 / 15 anni, è cominciato a
276
diventare sempre più importante per i danni che abbiamo fatto, quindi il motivo vero è che tutti
quanti a parole si preoccupano di quello, però il cliente non si rende conto che quando mi chiede
qualcosa in alluminio brillantato che in realtà mi sta chiedendo di inquinare più di quanto potrei.
Quindi l’unica cosa che puoi fare è dirglielo, poi lui può risponderti che non gli interessa. E quindi
glielo fai lo stesso, riducendo la quantità siamo riusciti già ad abbattere più del 75%
dell’inquinamento semplificando il profilo. E parliamo di questi profili che vanno nelle pareti
divisorie dove ci sono tantissime pareti divisorie per 25 tonnellate di alluminio, fa una bella
differenza. Anche se poi è un prodotto che rimane lì per 25 anni.
A: Ok, ora facendo riferimento al questionario che le ho portato, io le ho evidenziato i drivers e le
pratiche a cui lei ha assegnato un valore rilevante, alto. Per i drivers sono: conformità a
disposizioni e norme, immagino che questo sia il motivo più lampante nel senso che altrimenti
sareste incorsi in multe e sanzioni, sbaglio?
B: Allora ho assegnato un valore alto “moltissimo” perché era difficile gestire tutte le prescrizioni
legali, ci sono prescrizioni sull’emissione in atmosfera, prescrizioni sull’inquinamento dell’acqua
piuttosto che del suolo ecc.. siccome dovevamo rispettarle e non sapevamo con uno stabilimento
degli anni ’80 quanto fossimo conformi, abbiamo messo in piedi il sistema della ISO 14000 per
tenerle sotto controllo, specialmente quando sono cominciate a scadere le nostre certificazioni
ambientali, per cui analisi ogni anno, abbiamo l’ente terzo che viene da noi a fare l’audit,
potevamo scegliere fra EMAS e ISO 14000, abbiamo scelto la 14000 solo perché lavoriamo a livello
internazionale, siccome l’EMAS è europea e in America non sanno neanche che cos’è, 14000 era
molto più chiaro e possiamo evitare di fare delle dichiarazioni pubbliche, però diciamo avendo
uno scarso impatto non è necessario stare lì a pubblicizzare quanto sei ecologico perché, fossi un
produttore di energia che usa il carbone probabilmente avrei più motivazioni, ISO 14000 è più che
sufficiente e quindi “moltissimo” perché il primo motivo per cui abbiamo cominciato a rispettare,a
seguire uno schema, ad implementare un sistema di gestione ambientale era per la conformità
dello stabilimento, il secondo motivo era perché il cliente ci chiedeva “ce l’hai la ISO 14000?”.
Mentre prima ce lo chiedeva ma erano più importanti la ISO 9000 piuttosto che altre
certificazioni, adesso la ISO 14000 è diventata più importante. Quindi diciamo che sono più o
meno alla pari ma il motivo principale era lo stabilimento. Perché anni 80 è vecchio ed ha tutta
una serie di problemi che devono essere superati tipo la prevenzione incendi, piuttosto che la
quantità di materiali vernicianti che usi ec..
A: Invece spostandoci sulle pratiche, ho notato che le pratiche di Green Design sono quelle che lei
ha ritenuto le più rilevanti assegnando dei valori molto alti, mi spiega perché ha ritenuto queste le
pratiche più importanti e com’è cambiata la situazione da quando avete cominciato ad adottarle?
B: Allora, in AssoUfficio per esempio adesso stiamo affrontato l’LCA. Noi l’abbiamo fatta già da
qualche anno, ma ci sono delle aziende italiane che l’hanno fatta ancora prima l’LCA e io mi
ricordo un LCA del 2003 / 2004 quando erano metodi e metodologie che non si conoscevano
ancora. Il fatto è che adesso sta diventando sempre più conosciuto, quindi diciamo che l’aspetto
dell’ambiente diventa più famoso, quindi noi ovviamente ci avevamo già puntato prima, ma ormai
devi pubblicizzarlo quello che fai. Anche se sono convinto che molti dei nostri clienti non sanno
neanche di cosa si tratta. Per cui per diffondere la cultura devi cominciare a farlo sentire. Tutti
277
questi qua (pratiche di green design) sono un solo significato no? Disassembly, Maintainability,
Disposability, Lightweight design, quando andiamo a vedere le nostre vecchie documentazioni
queste cose c’erano già tutte. Erano scritte in maniera meno corretta dal punto di vista formale,
per esempio mi ricordo le prime politiche dell’ambiente che abbiamo scritto non avevano niente a
che fare con la ISO 14000 perché non sapevamo neanche che cosa fosse, quando un nostro
cliente ci ha chiesto: “ma voi ce l’avete una politica per l’ambiente?” e noi gliel’abbiamo fatta
vedere, quello si è messo a ridere, perché non era conforme alla 14000. Era una politica che
diceva “noi ricicliamo, noi bruciamo il legno per fare energia”, non mi ricordo cosa avevamo
scritto. Il cliente si chiamava Microsoft. E aveva una roba tipo 14000 scritto sopra, accidenti questi
sono anche abbastanza ferrati in materia, e fai anche una figuraccia quando hai davanti uno che è
certificato ISO 14000, il responsabile della certificazione che ti fa l’audit e tu non sai neanche di
cosa sta parlando. Quindi man mano che ci siamo trovati in quelle situazioni abbiamo risolto il
problema con un cliente grosso per poi spargerlo anche ai clienti più piccoli. In genere quello che
succede è che loro ci chiedono una cosa che non abbiamo mai sentito prima e lo scopriamo dopo.
Quindi tutte queste cose sono saltate fuori perché le abbiamo affrontate man mano, diciamo che
il cliente è il primo che te lo propone come problema. Quindi il progettista di grido, affronta per
primo il tema, la LEED, e poi diventa know-how aziendale prima di altri perché hai la fortuna di
avere a che fare con un cliente super esigente e quindi diciamo che è lui che comanda. Poi c’è un
minimo di preparazione nostra per capire quali saranno le tendenze, ma è il cliente che ci arriva
prima di noi. Diciamo che possiamo ridurre tutto a quello. A parte “riuso e riciclo per il recupero di
materiale” che ho messo 4 e non 5 ma non è che ho messo 0. Quindi giusto per.. Disassembly:
tutti i prodotti nostri sono fatti per essere montati e smontati, e devono essere montati e
smontati facilmente senza distruggere niente. Magari qualche volta ci scappa che non ci riusciamo
ma è un caso perché ci fanno fare su misura qualcosa. Durability: abbiamo dei prodotti che sono
in piedi da più di 25 / 30 anni per cui diciamo che durano. Anche perché il design è molto puro
per cui c’è roba vecchissima che è ancora in giro che, quando la dismettono, se la portano a casa i
dipendenti perché gli piace. Io ho anche il mio tavolo della mia cucina è un tavolo per ufficio ce
l’ho da 18 anni ed è resistentissimo. Lo stesso vale per la manutenzione. La possibilità di smaltirli,
facciamo tutti i prodotti smontabili appunto per facilitare lo smaltimento, l’alluminio lo puoi
riciclare tutto, il ferro lo puoi riciclare tutto, anche il truciolare. Lighweight dipende perché in
qualche caso sono molto leggeri, abbiamo il tavolo “Less Less” che è leggerissimo, quello di ferro
invece è pesantissimo però se si intende con poco materiale se si va a vedere il ferro che rimane
quando si va a distruggere un coso di quelli sono veramente poco i materiali che ci vanno dentro,
però non sempre, in qualche caso il cliente vuole le cose massicce. Impatto ambientale vabè ci si
prova e poi LCA ce l’abbiamo anzi ce ne abbiamo certificati anche più di uno.
A: Poi.. produzione: io le ho sempre evidenziato le pratiche che lei ha ritenuto le più rilevanti:
adozione di ISO 14001 me ne ha già abbondantemente parlato, mi dice due parole in più
sull’utilizzo del sistema di gestione dei rifiuti? In che modo si è evoluta la situazione da quando
avete adottato questo sistema?
B: Allora siamo passati da vernici a solventi a vernici ad acqua quindi abbiamo abbattuto
drasticamente sia l’uso di prodotti vernicianti quindi emissioni diffuse, che emissioni camini. Per
cui mentre prima avevamo picchi spaventosi perché usavamo tutto solvente e certi giorni
mettevano nel forno, noi abbiamo i forni ad essicazione dove vanno i prodotti, se nel forno ci
278
metti 100 tavoli esce l’evaporazione di 100 tavoli dal camino. Adesso che abbiamo l’acqua, di
solvente non ce n’è più. Le latte di vernice che stanno fuori nella casa matta per motivi di
sicurezza che non potevano stare all’interno dello stabilimento, adesso sono all’interno dello
stabilimento. Perché non sono infiammabili, non sono nocivi, non hanno emissioni. Ogni tanto
capita che dobbiamo usare il solvente, usiamo il solvente per una commessa per dire, per cui c’è
in giro del prodotto verniciante a solvente, i miei operai non sono più abituati ad usare il solvente
perché puzza, e se ne accorgono subito! Prima avevamo uno stabilimento con le cabine di
verniciatura molto aperte. Adesso abbiamo tutte cabine chiuse con un’aspirazione molto più
efficiente, per cui va tutto nei camini. I camini sono controllati periodicamente ci sono dei filtri
che quando si intasano devono essere cambiati perché si blocca l’aspirazione, e non funziona più
lo spray dentro la cabina. Per cui tutta la parte di vernice che è quella che ha le emissioni ha tutta
una serie di controlli, le colle che sono un’altra cosa che emettono solvente: abbiamo una sola
linea di placcatura dove ci sta la colla e tutta quanta vinilica. Quindi colla senza solvente
praticamente. Che all’inizio c’erano due prodotti collanti, c’era questa pressa che, puntualmente
siccome cambiavi prodotto, dovevi lavarla e dovevi cambiare colla quindi passava un sacco di
tempo. Alla fine siamo riusciti a trovare la colla che va bene su tutti i prodotti usiamo quella e ci
siamo levati di torno anche le emissioni delle colle. La gestione dei rifiuti invece, abbiamo ridotto
l’uso delle colle e delle vernici a solvente ed abbiamo cambiato il processo per cui abbiamo meno
scarti di vernice. Cioè il prodotto viene catalizzato in macchina invece che.. di solito si prende la
tolla di vernice, si mette dentro il catalizzatore, la versi nella macchina e poi la macchina lavora, ti
avanza la vernice? Scarto! Perché ormai è catalizzata e non si può più usare. Quando invece viene
fatta in pistola cioè: prendi il catalizzatore, prendi il solvente, la mescoli prima di arrivare dentro la
pistola viene spruzzata, quando chiudi il rubinetto, tappi le vernici sei a posto. Quindi abbiamo già
abbattuto radicalmente cambiando i tipi di strumenti quando abbiamo cambiato anche le cabine.
Per cui abbiamo ridotto: gli scarti di vernice che erano la cosa più impattante, poi abbiamo gli
scarti in legno che vengono riciclati sia dal Gruppo Saviola che da altri fornitori che li riutilizzano
come polverino ecc.. poi abbiamo carta, cartone, imballi generici che sono.. il cartone viene
compattato e riciclato, imballi generici sono rifiuti normale. Poi abbiamo l’alluminio che viene
tutto tutto completamente riciclato. Il vetro che non è filiera nostra per cui lo diamo al nostro
fornitore che lo smaltisce lui, lui ha gli scarti nostri perché è lui che lo taglia per noi e ci fa arrivare
le lastre intere. Se se ne spacca uno, reso e poi lui lo fa diventare rifiuto, lo taglia, lo usa per altre
cose. Non ci sono impatti così.. altri rifiuti non ne abbiamo.
A: Ok perfetto, materiali ecosostenibili? Per esempio?
B: Allora, truciolare. Alluminio non so se è ecosostenibile, non è ecosostenibile. È riciclabile però è
energivoro quindi non me la sento di dire che è ecosostenibile. Il ferro. Le vernici sono a base
d’acqua quindi non hanno più il solvente che c’era prima, che è una delle cose più impattanti.
A: Pratiche di prevenzione dell’inquinamento? Qualche esempio anche qua?
B: Beh più o meno li ho già detti tutti: utilizzo di vernici senza solventi, piuttosto che la colla,
truciolare riciclato al 100% ecc.. per prevenire l’inquinamento.. le vernici sono sostanzialmente la
cosa importante.
279
A: O anche per esempio cercare di ridurre al minimo l’impiego di materia prima per la
realizzazione del prodotto.
B: Beh la riduzione degli sfridi. Quello lo si fa principalmente per motivi economici. Diciamo che è
viziato anche da quello. Noi lavorando per commessa compriamo il materiale per commessa, poi
ci avanza sempre però comunque possiamo indirizzare verso quel tipo di calcolo. Molto spesso più
riesci ad essere preciso più risparmi sul materiale. Lo dico perché ho visto i numeri eh, rispetto ad
altre aziende riusciamo ad essere abbastanza controllati ecco.
A: Per quanto riguarda i fornitori invece. Lei ha indicato che fate sia valutazioni che
autovalutazioni dei fornitori, quali sono i parametri che valutate in queste valutazioni?
B: Allora per lavorazioni come la nitizzazione e la brillantatura o la verniciatura, l’ambiente è la
prima cosa. Se è certificato vai già più sul tranquillo. Se non è certificato vai a vedere come
gestisce le cose. Perché ci sono rifiuti, emissioni che potrebbero essere pericolosi quindi vediamo
quello. Poi degli altri fornitori dipende da cosa fanno, cioè se fanno lavorazioni, se gestiscono
bene lo sfrido. Quindi diciamo che comunque per tutti i fornitori ci sta la valutazione con dei
parametri che sono stati decisi all’inizio. Abbiamo 5000 fornitori di cui i primi 50 sono quelli che
fanno la maggior parte del fatturato, quindi quelli occasionali sono tutti gli altri.
A: Io ho letto nel vostro codice etico: “La X intrattiene rapporti solo con aziende in linea con
prescrizioni ambientali e nel rispetto della legislazione vigente”. La mia domanda è: perché non ha
voluto dare un valore più alto a queste tre pratiche (Scelta di fornitori che rispettano le normative
in materia di sostenibilità e possiedono certificazioni ambientali e sociali, scelta di fornitori che si
dimostrano positivi e proattivi nei confronti dello sviluppo sostenibile, scelta di fornitori che
presentano una solida reputazione ambientale) che rappresentano la responsabilità ambientale
del fornitore.
B: è una questione di dimensione. Cioè se il nostro fornitore fosse più grande di noi, potremmo
aspettarci che hanno la certificazione, sistema di gestione ambientale ecc.. quando sono piccoli,
siccome sono piccoli non hanno certificazioni e quindi non te l’aspetti neanche quindi vai là e
verifichi. Quando parlavo dei 50 fornitori principali, parlo di che ne so: 10 che fanno soltanto la
lavorazione dove nessuno di loro è particolarmente grande. La carpenteria metallica per esempio
è un fornitore abbastanza grande, ha la ISO 9000, la ISO 14000, perché deve gestire già il suo
stabilimento quindi ne ha la necessità, dipende sempre dalla dimensione.
A: Ok. Collaborazione con i fornitori: comunicazione e collaborazione con i fornitori, anche in
questo caso lei ha detto che i fornitori sono piccoli e quindi spesso siete voi che spingete per una
responsabilità ambientale e sociale del fornitore. Avete qualche programma particolare, qualche
iniziativa per informare il fornitore o per collaborare con loro?
B: Siccome i loro processi sono condizionati da noi, adesso parlo sempre dell’alluminio, possiamo
anche parlare del legno, però in genere l’alluminio siamo noi che gli diciamo cosa devono fare.
Insieme a loro compriamo l’alluminio come quantità, ma pianifichiamo noi il taglio, cioè diciamo
la barra invece che prenderla da 6mt la prendiamo da 5,5mt per dire. Perché così riduciamo lo
sfrido e lo sfrido lo mandiamo noi a recuperare da loro e va a finire dal fornitore. Loro lavorano
280
perché noi abbiamo lavoro. Ci sono fornitori che non fanno nient’altro che stare dietro a noi. Se
loro fanno quel prodotto e noi abbiamo bisogno di un altro prodotto da assemblare per esempio,
facciamo in modo che lui abbia il carico di lavoro per tutto l’anno con tutti i prodotti che noi
dobbiamo fare, li facciamo fare a lui così lo manteniamo carico. Altri fornitori che non hanno
bisogno di noi per rimanere in piedi, loro hanno i loro lavori e noi li lasciamo perdere. Però quelli
principali sono quelli con cui siamo partner. Cioè non potendoci permettere uno stabilimento
infinito, abbiamo questi capannoni in giro che sono stati comprati dalla holding dove ci sono
dentro i fornitori nostri, che in realtà sono in qualche caso dei dipendenti nostri che sono andati a
lavorare fuori hanno creato una loro azienda. Per esempio ce ne sono tanti di nostri ex dipendenti
che hanno una loro azienda che fanno il lavoro che facevano qua dentro: chi vernicia, chi
assembla, fuori e va magari in giro ad assemblare prodotti. Quindi c’è un rapporto sempre molto
diretto, anzi ci stanno molto attenti al patrimonio di conoscenza che hanno perché poi la Brianza è
tutta un po’ così, con vari fornitori che servono sia noi sia altre aziende, per esempio il legno, il
fornitore di truciolare serve tutti. I truciolare sono quelli e tu vai dal fornitore, per cui bene o male
c’è un rapporto molto stretto fra i fornitore, i terzisti e noi. E si spartiscono un po’ la fetta. Noi
abbiamo i nostri, la Molteni ha i suoi, messi insieme c’è una collaborazione strettissima, perché
poi loro si incontrano in paese, si vedono, si conoscono anche fra grossi. Quando vai in
FederLegno Assoarredo si incontrano, le commissioni si parlano tra di loro, quando ci sono le
commesse ne discutono anche fra di loro quindi è un settore dove è quasi naturale che accada.
Non c’è bisogno di andare all’estero o di avere una filiera più complessa. Ed è anche un limite
questo a volte.
A: Invece passando ai clienti, anche qui: collaborate e comunicate con i clienti. Il cliente vi richiede
il prodotto sostenibile, ma c’è anche un input da parte vostra nei loro confronti?
B: Sì, diciamo che normalmente il progettista quando sta facendo la fase di sviluppo del prodotto
ci richiedere della campionature quindi noi facciamo degli uffici di campione che vengono montati
negli uffici con gli altri concorrenti e poi diamo noi delle indicazioni per quella fase lì. Per cui loro ti
dicono “io voglio un tavolo con una gamba così”, e tu gli dici “ok io te lo porto però te lo faccio
così” e proponi le tue soluzioni, cioè l’uso tranciato di un tipo, la finitura della gamba in un altro, e
quindi do le mie proposte alla sua domanda che può essere molto dettagliata oppure può essere
vaga. Nel momento in cui io propongo il prodotto più prestante diciamo dal punto di vista
dell’ambiente, ho la possibilità di dare l’input al cliente ed è la fase ancora indefinita di gara. Una
volta poi presa la commessa, devi realizzare il prodotto finito quindi hai la parte più operativa e si
basa sul lavoro che hai fatto prima. Diciamo che la parte in cui influenziamo di più il cliente è
quando interpretiamo la sua richiesta. Adesso mi viene in mente San Paolo perché è stato
pesante, l’ho visto, là c’erano delle prestazioni di materiale ignifugo e quindi c’erano di mezzo non
solo FSC e basso emissivo, ma c’era anche la prestazione al fuoco che era molto importante per
loro per la complessità dell’arredo per cui con quella hanno inficiato tutta una serie di scelte no?
Per esempio l’ignifugo è a solvente per cui la vernice a base d’acqua non la puoi utilizzare e
abbiamo usato per un anno la vernice a solvente con problemi di emissioni, di limiti ecc.. ma
dovuti ad un’esigenza del cliente. Siccome la reazione al fuoco è una cosa che neanche i clienti
conoscono bene, perché interpretano un requisito dell’edificio di un materiale edile come se fosse
anche requisito del mobile quando in realtà non è così, in quel caso lo era ma in genere non è
così. Per cui ti chiedono materiali ignifughi quando non gli servono con aggravio di costi,
281
peggioramento delle prestazioni ambientali, il truciolare è pieno di schifezze che non conosco
bene perché ci sono dei Sali dentro il truciolare per renderlo scarsamente infiammabile,
difficilmente infiammabile, quindi in realtà chiedono delle prestazioni che non gli servono.
A: Ora andrei sulla Logistica Sostenibile, se mi vuole dire qualcosa riguardo le pratiche che le ho
evidenziato nel questionario.
B: Sì allora packaging sostenibile ho messo 5. Siccome lavoriamo per commessa molto spesso ci
chiedono di portare.. noi facciamo anche l’installazione in qualche caso per cui se dobbiamo
spedire dei prodotti su dal cliente li spediamo sul bancale, col cellophan intorno quindi arrivano
sul cantiere senza imballo. Arrivano direttamente sul bancale, magari c’è il bancale del primo
piano, il bancale del secondo piano, alla fine c’è una pedana di legno riutilizzabile con i prodotti
sopra senza nessun cartone. Dipende un po’ dalla logistica che c’è. Se vendi un tavolo singolo gli
dai il cartone, il polistirolo, il polietilene e tutto quello che ci va intorno, se invece vendi per
commessa gli dai il minor imballo possibile anche per non avere scarti sul cantiere. In genere
quando sono cose che possiamo riciclare cioè il bancale di legno o anche il cartone del tavolo,
vengono portati sul cantiere sballati e vengono riportati indietro gli imballi e vengono riutilizzati,
specialmente quelli dei tavoli.
A: Quindi c’è il recupero totale dell’imballo?
B: Dipende un po’ dalla commessa, ma molto spesso è il cliente che ci dice “mi dovete mandare:
diviso per piano, diviso per prodotto, con il palmbox con tutti i pezzi dentro” quindi l’imballo lo
facciamo in funzione della richiesta del cliente e quindi già in quella fase risparmi sull’imballo,
risparmi sui rifiuti specialmente in cantiere e sono cose abbastanza comode. Chi lavora invece per
prodotto nel catalogo col magazzino, c’è il prodotto imballato lo prendi e lo devi portare, quindi
c’è una gestione diversa. E quando arrivi dal cliente lì c’è tutto da smaltire. Diventa un po’ più
complicato seguire questo tipo di logica.
A: Sempre sul packaging, lei ha indicato “pallet e packaging riciclabili e ottimizzazione della
dimensione” sono pratiche che vengono sempre fatte o su specifica richiesta del cliente?
B: Sì allora il bancale qualche volta siamo costretti a fare degli imballi specifici. Per esempio
abbiamo delle ceste metalliche, abbiamo dei cavalletti di ferro dove noi mettiamo sopra i vetri
che vengono portati sul cantiere, riportati indietro, riempiti di nuovo e vanno di nuovo sul
cantiere. Quindi riutilizzi sempre lo stesso cavalletto che va su e giù. Di ferro che non è un imballo
quello però è un supporto alla movimentazione. Per i materiale utilizziamo il polietilene ad alta
densità per la protezione della superficie, poi c’è il cartone che è riciclabile e il legno. Gli imballi di
legno in qualche caso ce li facciamo noi perché sono su misura e quindi usiamo il truciolare
scartato e cose che abbiamo a disposizione. In genere l’imballo è poco rilevante per noi.
A: L’ultima parte riguarda le performance. Io le ho segnalato quelle che lei ha indicato essere
migliorare nell’ultimo anno. Vorrei sapere se possibile quali sono i KPIs che utilizzate per misurare
queste performance, come sono variati questi KPIs nell’ultimo anno, e come ultima domanda
vorrei sapere se secondo il suo parere l’adozione di tutto le pratiche di cui abbiamo parlato
precedentemente ha contribuito al miglioramento di queste performance?
282
B: Allora soddisfazione dei dipendenti, già la storia dei solventi che ho citato prima è più che
significativa! Per loro che lavorano a contatto tutto il giorno è stato abbastanza importante. Poi
magari nella vernice ci sarà qualche altra cosa che non ha odore ma farà malissimo non lo so. Però
sicuramente passare dal solvente con l’odore che ha a quelle all’acqua è stata una cosa che li ha
sorpresi perché neanche loro se l’aspettavano, perché prima loro lavoravano esclusivamente a
solvente. Anche perché le vernici non erano ancora pronte, noi ad utilizzarle e loro a produrle,
soprattutto per il legno che è molto critico con l’acqua.
A: E come lo misurate il grado di soddisfazione dei dipendenti?
B: Allora abbiamo degli indicatori nel nostro sistema qualità che sono più o meno aleatori nel
senso che non è facile avere dei dati attendibili sempre. La soddisfazione dei dipendenti l’ha fatta
la sicurezza soprattutto, negli uffici con la postura ergonomica, quindi le sedie, il tavolo, la luce, il
condizionamento ambientale. Per esempio l’anno scorso è stato totalmente pulito tutto
l’impianto di condizionamento, hanno sanificato il condizionamento, hanno reso più efficienti tutti
gli scambiatori, hanno aggiornato i termostati per cui siamo stati in grado di gestire il
condizionamento in maniera più efficiente. Per cui non avevamo più 38 gradi d’estate e già questo
ha cambiato radicalmente l’utilizzo del condizionatore, poi abbiamo messo un impianto
fotovoltaico che sta sul tetto che alimenta il climatizzatore che ciuccia da morire ad agosto, così
abbiamo abbattuto parecchio quei costi che diciamo sono quelli che incidono di più d’estate. Poi
l’azienda siccome hanno fatto l’Expo hanno aumentato le corsie in autostrada, ci hanno
espropriato una parte della nostra sede aziendale per allargare la strada e noi abbiamo dato
un’altra parte del sedime per fargli fare una pista ciclabile. Quindi qua sotto c’è un ponte proprio
qua sotto l’autostrada dove tutto il paese che sta dall’altra parte dell’autostrada deve passare per
venire qua da noi. Per cui invece che passare sotto, noi abbiamo dato la possibilità di far passare
un tunnel, per cui loro si sono accollati il costo di costruire il tunnel, e noi gli abbiamo regalato il
terreno. Per cui c’è la lettera del comune che ci ringraziava, praticamente i dipendenti adesso
vengono in bicicletta perché è diventato sicuro attraversare, ci sono ancora incongruenze però, ci
sono persone che abitano dall’altra parte e venivano in macchina mentre adesso vengono a piedi.
Quindi in quell’occasione con la sicurezza perché hanno fatto un vero e proprio questionario
“cosa vorresti, cosa non vorresti, sei contento della tua sedia”, con il reparto invece c’erano le
polveri e i solventi. Ed è stata fatta la rilevazione con macchine di controllo delle polveri. Ci sono
sia questionari per i dipendenti e poi con le macchine hanno verificato l’effettiva riduzione delle
polveri di aspirazione. Per cui alcune macchine che erano lontane dall’aspirazione sono state
avvicinate all’aspirazione per migliorare l’efficienza, sono state aggiunte altre in reparto. Questa
cosa non viene fatta tutti gli anni, è stata fatta in un periodo specifico, quando abbiamo cambiato
le cabine di verniciatura, prima e dopo averle cambiate, prima e dopo l’aspirazione delle polveri e
prima e dopo la sanificazione tutte queste cose. Parliamo di 4 anni circa di valutazione come
periodo e quindi hanno verificato l’efficacia delle azioni correttive che abbiamo fatto. Deriva dalla
14000 infatti sono tutti piani di miglioramento della 14000, quelle della pista, delle aspirazioni,
dei condizionatori. Sono tutte schedate, c’è la validazione economica, ambientale, qualità ecc.. e
quindi dentro c’era la valutazione di efficacia e riesame della direzione.
A: Comunità locali, si intendono quelle circostanti all’azienda. Lei ha indicato che il loro grado di
soddisfazione è aumentato
283
B: Allora praticamente con le comunità locali abbiamo sempre avuto un rapporto diretto perché
siamo stati fra le prime aziende che sono venute qua nella zona industriale, Turate non ce l’aveva
così sviluppata come adesso. La pista ciclabile che ho già citato serve tutti e non è dovuto soltanto
al terreno che abbiamo donato noi perché il lavoro grosso l’ha fatto l’autostrada però se non
c’eravamo noi a donare il terreno la vedevo dura. Poi non emettiamo rumore perché poi c’è
l’autostrada vicino che fa più rumore di noi, non facciamo odori perché ci sono stabilimenti qua
vicini che fanno di molto peggio. Quindi diciamo che non è tanto dal punto di vista ambientale che
abbiamo migliorato le nostre prestazioni, ma dal punto di vista sociale perché regaliamo tavoli
all’oratorio, al paese, ai carabinieri regaliamo i tavoli. E poi c’è questa storia del sottopasso che
soddisfa tantissime persone, me incluso.
A: Costi di trasporto che sono diminuiti?
B: Sì abbiamo aggiornato i mezzi sostanzialmente, per questo sono calati. Abbiamo eliminato i
mezzi più vecchi, abbiamo ottimizzato con i fornitori coordinando “vai tu a prendere e me li porti
tu” che era la cosa che funzionava meglio e quindi abbiamo abbattuto molto in questo modo.
A: Ok il questionario è finito. Volevo come ultima cosa sapere la sua opinione sulla correlazione
che esiste fra l’adozione di queste pratiche sostenibili e l’effettivo aumento delle performance
aziendali
B: Sì assolutamente. Diciamo che lo stabilimento nostro vecchio ha tutta questa serie di
problematiche da migliorare quindi mettere il pannello fotovoltaico sul tetto se non ci fosse stato
una ISO 14000 che ti chiede i piani di miglioramento non ti faresti neanche certi problemi, invece
essendoci il documento che fai, il riesame della direzione, uno stimolo a fare miglioramento
continuo banalmente “che facciamo quest’anno?” eh ci sarebbe da fare. Abbiamo cambiato le
caldaie, siamo passati da una grossa caldaia a tre caldaie: una piccola, una media e una grossa,
quando vai in estate che non hai bisogno della caldaia fai andare quella piccola che serve per
l’essiccatoio del reparto di verniciatura. Quando sei in inverno che devi far andare le presse,
l’essiccatoio e fa freddo e si disperde di più ne fai andare tre. Per cui abbatti drasticamente il
consumo estivo. Mentre prima andava quella grande e basta adesso va quella piccola che
consuma meno di un terzo di quella grande. Altra cosa da fare abbiamo 9000 lampade qua dietro
in reparto, da sostituire con i LED! Quanto costa sostituire con i LED? Ogni 6 mesi cambia la
tecnologia. Stiamo facendo il reparto poi c’è il reparto col tranciato per vedere il colore della
lastra quindi hai bisogno di una luce a 3000 K invece che 5000 K. In verniciatura invece è meglio
quella a 5000 K che è bianchissima. Ci sono varie esigenze, stanno valutando e costa uno
sproposito, perché poi cambiare 9000 lampade, però poi non stai lì a dire che si fulmina un LED e
devi cambiare tutta la stecca, adesso sono tutti neon che risparmiano comunque, però non tanto
il risparmio di energia quanto la campagna di sostituzione delle lampade. Cioè ci sono delle
persone che vanno avanti per 3 mesi a cambiare lampade tutti i giorni e quindi effettivamente è
un bel risparmio sia economico che di energia che di rispetto per l’ambiente. Se non ci fosse la
14000 probabilmente questi interrogativi non se li sarebbero fatti. Invece un po’ perché ci
interessa, un po’ perché lo pubblicizziamo diciamo che il miglioramento continuo dal punto di
vista ambientale funziona bene perché usiamo bene la ISO 14000, la ISO 9000 che è già un po’ più
organizzativa, hai più difficoltà a muoverla, rimane sempre un po’ in disparte. L’ambiente invece
284
puoi migliorare le performance e tantissime cose per cui siamo sempre là a cercare il modo di
risparmiare con la distribuzione dell’aria compressa, la distribuzione del calore, per cui diciamo
che siamo abbastanza sicuri che l’ambiente serve al cliente, serve a noi e lo facciamo sul serio.
A: Ok, perfetto abbiamo finito! La ringrazio moltissimo per il tempo che ha voluto dedicare
all’intervista e alla ricerca.
285
Appendix 2: Factor scores coefficients matrix
- Factors scores coefficient matric obtained as output from the factor analysis on practices
Company
ID
GD GM GP PPC SGM SGA GSC SRP GCM DDN SP GL
FOR12 -
0,23
0,31 0,54 0,49 -0,33 0,56 0,71 0,32 1,07 0,12 -0,09 2,02
PR46 1,63 1,63 -0,08 0,86 1,49 1,14 1,61 1 0,6 1,65 0,56 1,57
PR1 -
0,19
-1,01 0,25 -0,34 -0,84 -0,06 -0,47 -0,3 0,01 0,76 0,58 -0,75
PR2 0,01 -1,01 -0,41 0,17 -0,59 0,23 -1,08 -1,21 -1,05 -1,37 -1,26 -0,75
FOR1 -
1,87
-1,01 1,5 0,28 0,83 0,81 0,72 0,32 -0,46 -0,63 -2,17 -0,75
FOR2 -0,8 -0,67 -1,66 -1,53 -1,37 -1,85 -1,03 -1,21 -1,05 -1,7 -0,66 -0,75
PR3 0,23 -1,01 -0,31 -0,19 -0,73 -0,96 -0,46 -0,89 0,14 -1,05 -1,26 -0,75
PR4 -
0,08
-0,67 -0,42 -0,26 0,41 0,84 1,02 0,69 0,01 1,24 -0,04 1,31
PR5 -
1,87
-0,38 -1,33 -0,52 0,25 0,84 1,5 1,37 1,07 0,91 0,27 -0,75
PR6 0,69 -1,01 -1 -1,21 -1,2 0,27 -0,85 -0,6 -1,05 2,35 1,18 -0,3
FOR3 1,12 -1,01 0,54 0,03 -0,69 -1,24 -0,35 -0,89 -0,46 -1,7 -0,04 -0,75
PR7 -
0,13
-1,01 -1,33 -1,27 -0,78 -0,96 -1,44 -1,21 -1,05 0,44 -0,93 -0,3
PR8 1,07 1,28 -0,38 -0,16 0,24 0,84 0,72 0,64 0,2 -0,3 0,87 -0,75
FOR4 -
1,87
0,31 -1,34 -1,46 -1,05 -0,06 -1,08 -1,21 -1,05 -0,85 -1,59 -0,75
PR9 -
0,22
0,31 -0,42 -0,08 -0,08 -0,34 -0,28 -0,89 -0,63 0,45 0,87 0,6
FOR5 -
0,59
0,65 0,25 0,17 -0,08 -0,96 0,4 0,78 -0,46 -0,91 -0,97 0,86
FOR6 0,12 -0,35 -0,04 0,61 -0,64 -0,06 -0,47 -1,21 -0,42 0,12 0,87 -0,75
PR10 0,61 0,65 -1,04 -0,26 -0,5 0,24 -0,89 -1,21 -1,05 0,39 -1,54 -0,75
PR11 - -0,01 -0,66 1,29 -0,58 0,84 -0,52 -0,57 0,14 0,87 0,58 -0,75
286
0,81
PR12 2,2 0,26 -0,42 1 1,88 0,84 1 1,31 3,19 0,54 1,47 -0,3
PR13 1,03 1,63 1,84 -1,2 0,2 -0,64 0,1 0,34 -0,26 -0,4 1,47 -0,75
FOR7 -
1,87
-1,01 -0,48 -1,78 -1,1 -1,57 -1,26 -1,21 -1,05 -1,37 -1,02 -0,75
PR14 0,93 1,63 0,93 0,86 2,48 0,84 0,42 0,7 1,2 0,82 0,56 2,02
FOR8 -
0,45
-1,01 0,88 0,5 0,14 0,84 0,33 0,02 1,66 0,12 -0,04 0,41
FOR9 0,6 0,68 0,69 1,8 0,39 0,84 0,1 0,04 0,41 -1,05 1,15 -0,04
PR15 -
0,98
-1,01 1,18 0,31 -1,05 -1,24 -1,07 -1,21 -1,05 -0,31 0,24 0,6
PR16 -
1,87
-1,01 -0,42 -1,09 -1,19 -1,85 -1,44 -1,21 -1,05 -1,7 -1,88 -0,75
FOR10 0,12 -1,01 1,22 0,61 0,37 0,84 0,3 -0,28 -0,06 -0,3 0,85 -0,75
PR17 0,62 1,63 -1,32 1,44 0,26 0,26 0,9 0,62 0,2 0,82 0,56 0,15
PR19 1,89 1,63 1,21 1,37 1,61 0,84 1,59 1,3 1,47 0,82 1,18 2,29
PR18 0,56 1,63 1,51 0,93 0,04 0,56 0,5 0,32 0,73 -0,3 0,53 -0,04
PR20 2,04 0,26 0,24 0,93 0,53 -0,06 0,69 0,92 1,86 -0,4 1,47 -0,75
FOR11 -
0,85
1,28 0,83 0,61 0,88 0,84 -0,01 0,08 0,47 -0,58 -0,35 -0,75
PR21 0,93 -0,01 0,59 0,86 1,7 0,84 1,1 1 0,39 0,54 -0,04 1,12
PR22 0,21 -0,35 1,17 -0,34 0,96 0,84 -0,03 0,7 0,4 0,91 0,3 -0,75
PR23 -
0,34
-1,01 -2 -1,71 -1,37 -1,85 -1,26 -1,21 -1,05 -1,05 -0,97 -0,75
PR24 -
1,15
-1,01 -0,46 -1,96 -1,37 -1,85 -1,44 -1,21 -1,05 -1,7 -2,17 -0,75
PR26 -
0,01
0,97 0,88 0,86 1,82 0,84 2,78 2,67 1,96 1,65 -0,06 0,6
PR27 0,02 -1,01 0,25 0,17 0,22 -0,06 1,4 1 0,6 0,87 0,26 0,15
PR28 0,16 0,62 -0,09 0,5 0,92 -0,06 -0,27 0,02 0,6 0,07 -0,95 -0,3
PR29 0,69 0,26 -0,37 -0,95 1,18 1,74 1,35 0,7 0,81 2,03 0,85 1,76
287
PR30 -
0,07
-1,01 -0,7 0,17 0,76 -0,06 0,32 0,02 1,89 0,86 0,87 0,15
PR31 -1,1 -1,01 -0,99 -1,2 -1,11 -1,24 -0,66 0 -0,64 -0,95 -1,86 -0,75
PR32 -
0,42
0,02 -0,99 -1,28 -1,2 -1,55 -1,05 -1,21 -1,05 -1,37 -0,92 -0,75
PR33 0,06 -0,35 -0,71 -0,77 -0,16 -0,04 -0,65 -0,3 0,4 -0,3 -0,02 -0,3
PR34 -
0,36
-1,01 0,59 -0,59 -1,37 -1,85 -1 0,02 -1,05 -0,3 -0,97 -0,75
PR35 -
0,04
-1,01 -1,66 -1,2 -1,19 -1,57 -1,44 -1,21 -1,05 -1,37 -0,35 -0,3
PR36 -
0,41
-0,67 -0,65 0,06 -0,4 0,84 -0,63 -0,92 -0,42 -0,58 0,56 -0,3
PR37 -
0,52
-1,01 0,5 -0,22 -0,88 -0,09 0,73 1,54 -1,05 -0,63 0,53 -0,75
PR38 -
1,27
-0,67 -1,08 -1,71 -0,55 -1,57 -1,05 0,78 -0,82 0,17 -0,95 -0,75
PR39 -
0,69
1,63 1,84 1,8 1,12 0,84 1,1 1,37 0,2 -0,26 0,56 1,31
PR25 -
0,03
0,02 -1,33 1,07 -1,12 0,84 0,94 0,89 -0,49 0,02 0,55 1,31
PR40 -
0,13
1,63 0,54 -0,45 -0,44 0,84 -0,88 -0,91 -1,05 0,22 0,87 -0,3
PR41 -
0,74
0,62 -0,41 -0,08 0,69 -0,06 0,62 1 0,01 -0,2 -0,64 -0,75
PR42 0,53 -1,01 1,84 0,79 -0,61 -0,06 -1,08 -1,21 -0,68 0,45 1,47 -0,75
PR43 1,57 1,63 1,84 1,8 0,81 0,54 -0,9 -1,21 -1,05 0,87 0,56 0,6
PR44 0,36 0,97 0,25 0,17 0,96 0,53 0,92 1,69 1,07 0,54 -0,35 1,57
PR45 1,98 1,28 0,6 1,3 1,45 1,74 1,14 0,61 0,92 2,03 1,47 3,19
- Factor scores coefficients matrix obtained as output from the factor analysis conducted
on drivers:
-
288
Company ID RD DI SD
FOR12 0,9808 0,02286 0,64806
PR46 1,03754 1,04589 -0,07731
PR1 -0,98952 -1,00016 -0,99138
PR2 0,05238 0,02286 0,34568
FOR1 0,51659 1,55109 1,50308
FOR2 -0,46857 -1,00016 -0,77331
PR3 0,9808 1,55109 1,90765
PR4 0,05238 -0,49496 -0,05889
PR5 1,50175 0,52806 2,1432
PR6 0,9808 0,02286 -0,09729
FOR3 -0,00436 1,04589 0,85993
PR7 -0,52531 0,02286 -0,75583
PR8 -1,45373 -0,50759 -0,79804
FOR4 -0,52531 -1,51799 -0,63521
PR9 -0,0611 0,01024 -1,20944
FOR5 -0,46857 0,02286 0,23665
FOR6 -0,98952 0,01024 0,02108
PR10 -0,41183 -0,49496 -0,2008
PR11 -1,45373 0,01024 0,43618
PR12 -1,91794 -0,00239 -0,88234
PR13 0,9808 1,05851 -0,42189
FOR7 -1,91794 -1,51799 -0,77331
PR14 0,45985 1,55109 0,01858
FOR8 0,57333 0,54069 0,49312
FOR9 -1,91794 2,06891 -0,99138
PR15 -0,46857 -0,50759 -1,20944
PR16 -1,91794 -2,02319 -0,88234
FOR10 0,9808 0,01024 -1,10041
289
PR17 0,45985 0,02286 -0,79804
PR19 0,57333 -0,50759 0,922
PR18 1,03754 0,51544 1,11784
PR20 -0,0611 -1,51799 -0,65744
FOR11 0,51659 1,04589 0,62438
PR21 1,03754 1,04589 2,80174
PR22 0,05238 1,04589 0,4722
PR23 -0,98952 -1,51799 -0,99138
PR24 -1,91794 0,02286 -0,77331
PR26 1,03754 1,55109 -0,43254
PR27 0,9808 0,52806 1,57371
PR28 -0,00436 0,02286 1,00423
PR29 1,03754 0,01024 0,34568
PR30 -1,45373 -1,01279 -1,20944
PR31 -0,46857 -1,51799 -0,85327
PR32 -1,39699 -1,50536 -1,10041
PR33 0,51659 0,52806 0,81772
PR34 0,05238 -2,02319 -1,20944
PR35 -0,87604 -1,00016 -0,87551
PR36 0,57333 0,01024 1,83607
PR37 -0,00436 0,01024 -0,4971
PR38 -0,46857 -1,50536 -1,10041
PR39 2,02271 -1,00016 0,12762
PR25 1,5585 0,02286 -0,88234
PR40 0,45985 1,04589 -0,79804
PR41 -0,41183 1,03326 0,41935
PR42 0,9808 0,52806 -0,17
PR43 0,9808 1,03326 1,34881
PR44 -0,00436 0,02286 1,27134
290
PR45 0,57333 1,03326 0,91136
- Factor scores coefficients matrix obtained as output from the factor analysis conducted
on performance
Company ID PP PSE PA PS PI
FOR12 -0,77 -0,71 -0,71 -0,01 -0,30
PR46 1,91 -0,11 0,58 1,68 1,77
PR1 -0,05 0,48 -0,17 0,17 -0,19
PR2 -0,05 -0,11 1,21 0,93 0,46
FOR1 -0,96 -2,47 -1,34 0,93 -0,95
FOR2 -0,59 -0,11 -0,4 -2,46 -0,95
PR3 0,48 0,5 1,44 0,93 1,88
PR4 -0,25 -0,78 0,01 -0,77 -0,30
PR5 0,67 -0,11 -0,4 0,17 -0,19
PR6 -0,05 -1,99 -2,49 0,75 -0,19
FOR3 -0,05 -0,11 -0,4 -0,77 -0,95
PR7 -0,05 0,39 -0,4 -0,01 -1,50
PR8 0,48 -1,28 1,55 0,93 1,01
FOR4 1,91 1,64 0,81 0,93 0,46
PR9 -0,05 -0,11 -0,4 1,68 1,01
FOR5 -2,02 -2,47 -2,24 -0,77 -0,95
FOR6 -0,96 -0,78 -0,06 -0,77 0,25
PR10 -0,05 -0,11 -0,4 -0,01 0,46
PR11 -1,49 1,49 1,22 1,68 0,46
PR12 0,48 0,89 1,48 0,93 1,01
PR13 -0,05 0,5 0,92 0,17 1,55
291
FOR7 -1,49 -0,11 -0,63 -0,77 -0,95
PR14 -1,49 -0,11 -0,4 -0,77 -0,30
FOR8 -0,05 0,48 -0,8 -0,77 0,35
FOR9 0,48 -0,11 0,8 -0,77 1,66
PR15 -1,49 -0,11 -0,4 -0,77 -0,30
PR16 -0,05 -0,11 -0,4 -0,01 -0,74
FOR10 1,2 -0,61 -1,68 -0,77 -0,30
PR17 -2,02 -2,47 -1,6 -0,01 1,01
PR19 1,91 2,75 1,78 0,93 2,43
PR18 0,48 -0,78 -0,17 0,93 0,46
PR20 -0,05 0,48 0,88 0,93 -0,41
FOR11 -0,05 -0,11 0,28 -0,01 -0,08
PR21 0,67 -1,36 -0,4 -0,77 -0,30
PR22 -0,05 -0,61 -0,8 -0,01 0,46
PR23 -0,05 -0,11 -0,4 -2,46 -1,61
PR24 -0,59 0,39 0,23 -0,01 -0,30
PR26 1,91 1,56 0,88 -0,01 0,25
PR27 -0,05 -0,11 -0,4 -0,77 0,46
PR28 -0,05 -0,11 -0,4 0,93 -0,95
PR29 0,67 2,25 1,44 -0,77 -0,19
PR30 -0,05 0,5 0,58 0,93 1,12
PR31 -0,96 0,5 -1,03 -0,77 0,46
PR32 -2,02 -0,11 -1,03 0,93 -0,84
PR33 -0,05 -0,11 -0,4 -0,77 -0,95
PR34 -0,04 0,97 -0,4 -0,77 -2,04
PR35 -0,05 -0,28 -0,06 -0,01 -2,04
292
PR36 0,48 -0,11 1,1 -0,01 0,46
PR37 -0,23 -0,11 -0,18 1,68 1,01
PR38 1,91 -0,11 -0,69 -0,77 -0,19
PR39 1,19 1,67 1,21 0,93 1,55
PR25 -1,49 -0,19 0,17 -0,77 -0,30
PR40 -0,05 0,56 1,21 -0,01 -0,95
PR41 -0,05 -0,11 -0,4 -0,77 -0,95
PR42 -0,05 -0,11 -0,4 -2,46 -1,50
PR43 1,91 0,39 2,65 1,68 1,12
PR44 -0,05 -0,11 -0,4 -0,77 -0,95
PR45 1,37 0,97 0,46 1,10 0,46
293
Appendix 3: ANOVA on sustainable strategic fit matrix’s cells
- ANOVA analysis on Environmental sustainable strategic fit matrix’s cells:
Dependent Variable: PA
Hochberg
(I) LABELS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,90667 ,61655 ,977 -1,1170 2,9303
3,00 -,00333 ,79596 1,000 -2,6159 2,6092
4,00 1,62167 ,57397 ,016 -,2623 3,5056
5,00 1,59400 ,55146 ,014 -,2160 3,4040
6,00 ,41095 ,60169 1,000 -1,5640 2,3859
7,00 1,54030 ,56792 ,021 -,3238 3,4044
8,00 1,04000 ,71193 ,979 -1,2967 3,3767
2,00 1,00 -,90667 ,61655 ,977 -2,9303 1,1170
3,00 -,91000 ,71193 ,996 -3,2467 1,4267
4,00 ,71500 ,45026 ,950 -,7629 2,1929
5,00 ,68733 ,42118 ,936 -,6951 2,0698
6,00 -,49571 ,48510 1,000 -2,0879 1,0965
7,00 ,63364 ,44252 ,983 -,8188 2,0861
8,00 ,13333 ,61655 1,000 -1,8903 2,1570
3,00 1,00 ,00333 ,79596 1,000 -2,6092 2,6159
2,00 ,91000 ,71193 ,996 -1,4267 3,2467
4,00 1,62500 ,67539 ,040 -,5918 3,8418
5,00 1,59733 ,65636 ,038 -,5570 3,7517
6,00 ,41429 ,69910 1,000 -1,8803 2,7089
7,00 1,54364 ,67026 ,048 -,6563 3,7436
8,00 1,04333 ,79596 ,994 -1,5692 3,6559
4,00 1,00 -1,62167 ,57397 ,016 -3,5056 ,2623
2,00 -,71500 ,45026 ,950 -2,1929 ,7629
3,00 -1,62500 ,67539 ,040 -3,8418 ,5918
5,00 -,02767 ,35596 1,000 -1,1960 1,1407
6,00 -1,21071 ,42969 ,017 -2,6211 ,1996
7,00 -,08136 ,38097 1,000 -1,3318 1,1691
8,00 -,58167 ,57397 1,000 -2,4656 1,3023
5,00 1,00 -1,59400 ,55146 ,014 -3,4040 ,2160
2,00 -,68733 ,42118 ,936 -2,0698 ,6951
3,00 -1,59733 ,65636 ,038 -3,7517 ,5570
4,00 ,02767 ,35596 1,000 -1,1407 1,1960
294
6,00 -1,18305 ,39911 ,012 -2,4931 ,1270
7,00 -,05370 ,34612 1,000 -1,1898 1,0824
8,00 -,55400 ,55146 1,000 -2,3640 1,2560
6,00 1,00 -,41095 ,60169 1,000 -2,3859 1,5640
2,00 ,49571 ,48510 1,000 -1,0965 2,0879
3,00 -,41429 ,69910 1,000 -2,7089 1,8803
4,00 1,21071 ,42969 ,017 -,1996 2,6211
5,00 1,18305 ,39911 ,012 -,1270 2,4931
7,00 1,12935 ,42157 ,023 -,2544 2,5131
8,00 ,62905 ,60169 1,000 -1,3459 2,6040
7,00 1,00 -1,54030 ,56792 ,021 -3,4044 ,3238
2,00 -,63364 ,44252 ,983 -2,0861 ,8188
3,00 -1,54364 ,67026 ,048 -3,7436 ,6563
4,00 ,08136 ,38097 1,000 -1,1691 1,3318
5,00 ,05370 ,34612 1,000 -1,0824 1,1898
6,00 -1,12935 ,42157 ,023 -2,5131 ,2544
8,00 -,50030 ,56792 1,000 -2,3644 1,3638
8,00 1,00 -1,04000 ,71193 ,979 -3,3767 1,2967
2,00 -,13333 ,61655 1,000 -2,1570 1,8903
3,00 -1,04333 ,79596 ,994 -3,6559 1,5692
4,00 ,58167 ,57397 1,000 -1,3023 2,4656
5,00 ,55400 ,55146 1,000 -1,2560 2,3640
6,00 -,62905 ,60169 1,000 -2,6040 1,3459
7,00 ,50030 ,56792 1,000 -1,3638 2,3644
Dependent Variable: PI
Hochberg
(I) LABELS env
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 ,61833 ,60681 1,000 -1,3734 2,6100
3,00 -1,56333 ,78339 ,724 -4,1346 1,0080
4,00 ,59567 ,56491 1,000 -1,2585 2,4498
5,00 ,53800 ,54275 1,000 -1,2434 2,3194
6,00 ,15095 ,59218 1,000 -1,7928 2,0947
7,00 1,27212 ,55895 ,497 -,5625 3,1068
8,00 ,94667 ,70068 ,992 -1,3532 3,2465
2,00 1,00 -,61833 ,60681 1,000 -2,6100 1,3734
3,00 -2,18167 ,70068 ,047 -4,4815 ,1182
4,00 -,02267 ,44315 1,000 -1,4772 1,4319
5,00 -,08033 ,41453 1,000 -1,4409 1,2803
295
6,00 -,46738 ,47743 1,000 -2,0345 1,0997
7,00 ,65379 ,43553 ,972 -,7757 2,0833
8,00 ,32833 ,60681 1,000 -1,6634 2,3200
3,00 1,00 1,56333 ,78339 ,724 -1,0080 4,1346
2,00 2,18167 ,70068 ,047 -,1182 4,4815
4,00 2,15900 ,66473 ,055 -,0228 4,3408
5,00 2,10133 ,64600 ,050 -,0190 4,2217
6,00 1,71429 ,68806 ,034 -,5441 3,9727
7,00 2,83545* ,65967 ,002 ,6702 5,0007
8,00 2,51000 ,78339 ,042 -,0613 5,0813
4,00 1,00 -,59567 ,56491 1,000 -2,4498 1,2585
2,00 ,02267 ,44315 1,000 -1,4319 1,4772
3,00 -2,15900 ,66473 ,055 -4,3408 ,0228
5,00 -,05767 ,35034 1,000 -1,2076 1,0922
6,00 -,44471 ,42290 1,000 -1,8328 ,9434
7,00 ,67645 ,37496 ,855 -,5543 1,9072
8,00 ,35100 ,56491 1,000 -1,5032 2,2052
5,00 1,00 -,53800 ,54275 1,000 -2,3194 1,2434
2,00 ,08033 ,41453 1,000 -1,2803 1,4409
3,00 -2,10133 ,64600 ,050 -4,2217 ,0190
4,00 ,05767 ,35034 1,000 -1,0922 1,2076
6,00 -,38705 ,39281 1,000 -1,6764 ,9023
7,00 ,73412 ,34065 ,595 -,3840 1,8522
8,00 ,40867 ,54275 1,000 -1,3728 2,1901
6,00 1,00 -,15095 ,59218 1,000 -2,0947 1,7928
2,00 ,46738 ,47743 1,000 -1,0997 2,0345
3,00 -1,71429 ,68806 ,034 -3,9727 ,5441
4,00 ,44471 ,42290 1,000 -,9434 1,8328
5,00 ,38705 ,39281 1,000 -,9023 1,6764
7,00 1,12117 ,41491 ,022 -,2407 2,4830
8,00 ,79571 ,59218 ,992 -1,1480 2,7394
7,00 1,00 -1,27212 ,55895 ,497 -3,1068 ,5625
2,00 -,65379 ,43553 ,972 -2,0833 ,7757
3,00 -2,83545* ,65967 ,002 -5,0007 -,6702
4,00 -,67645 ,37496 ,855 -1,9072 ,5543
5,00 -,73412 ,34065 ,595 -1,8522 ,3840
6,00 -1,12117 ,41491 ,022 -2,4830 ,2407
8,00 -,32545 ,55895 1,000 -2,1601 1,5092
8,00 1,00 -,94667 ,70068 ,992 -3,2465 1,3532
2,00 -,32833 ,60681 1,000 -2,3200 1,6634
3,00 -2,51000 ,78339 ,042 -5,0813 ,0613
4,00 -,35100 ,56491 1,000 -2,2052 1,5032
5,00 -,40867 ,54275 1,000 -2,1901 1,3728
6,00 -,79571 ,59218 ,992 -2,7394 1,1480
296
7,00 ,32545 ,55895 1,000 -1,5092 2,1601
- ANOVA analysis on Social sustainable strategic fit matrix’s cells:
Dependent Variable: PS
Hochberg
(I) LABELS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 1,70000 ,61239 ,184 -,3100 3,7100
3,00 -,50667 ,79059 1,000 -2,0883 3,1016
4,00 2,12567* ,57010 ,064 ,2544 3,9969
5,00 2,38333* ,54774 ,190 ,5855 4,1812
6,00 1,94524 ,59763 ,054 -,0164 3,9068
7,00 1,54848 ,56409 ,080 -,3030 3,4000
8,00 1,93667 ,70713 ,200 -,3843 4,2576
2,00 1,00 -1,70000 ,61239 ,184 -3,7100 ,3100
3,00 -1,19333 ,70713 ,914 -3,5143 1,1276
4,00 ,42567 ,44723 1,000 -1,0423 1,8936
5,00 ,68333 ,41834 ,935 -,6898 2,0564
6,00 ,24524 ,48183 1,000 -1,3362 1,8267
7,00 -,15152 ,43954 1,000 -1,5942 1,2912
8,00 ,23667 ,61239 1,000 -1,7734 2,2467
3,00 1,00 ,50667 ,79059 1,000 -3,1016 2,0883
2,00 1,19333 ,70713 ,914 -1,1276 3,5143
4,00 1,61900 ,67084 ,392 -,5829 3,8209
5,00 1,87667 ,65194 ,144 -,2632 4,0165
6,00 1,43857 ,69438 ,664 -,8406 3,7177
7,00 1,04182 ,66574 ,957 -1,1433 3,2270
8,00 1,43000 ,79059 ,852 -1,1649 4,0249
4,00 1,00 -2,12567* ,57010 ,064 -3,9969 -,2544
2,00 -,42567 ,44723 1,000 -1,8936 1,0423
3,00 -1,61900 ,67084 ,392 -3,8209 ,5829
5,00 ,25767 ,35356 1,000 -,9028 1,4182
6,00 -,18043 ,42679 1,000 -1,5813 1,2204
7,00 -,57718 ,37840 ,967 -1,8192 ,6648
8,00 -,18900 ,57010 1,000 -2,0602 1,6822
5,00 1,00 -2,38333* ,54774 ,190 -4,1812 -,5855
2,00 -,68333 ,41834 ,935 -2,0564 ,6898
3,00 -1,87667 ,65194 ,144 -4,0165 ,2632
4,00 -,25767 ,35356 1,000 -1,4182 ,9028
6,00 -,43810 ,39642 1,000 -1,7393 ,8631
297
7,00 -,83485 ,34379 ,382 -1,9632 ,2935
8,00 -,44667 ,54774 1,000 -2,2445 1,3512
6,00 1,00 -1,94524 ,59763 ,054 -3,9068 ,0164
2,00 -,24524 ,48183 1,000 -1,8267 1,3362
3,00 -1,43857 ,69438 ,664 -3,7177 ,8406
4,00 ,18043 ,42679 1,000 -1,2204 1,5813
5,00 ,43810 ,39642 1,000 -,8631 1,7393
7,00 -,39675 ,41873 1,000 -1,7711 ,9776
8,00 -,00857 ,59763 1,000 -1,9702 1,9530
7,00 1,00 -1,54848 ,56409 ,080 -3,4000 ,3030
2,00 ,15152 ,43954 1,000 -1,2912 1,5942
3,00 -1,04182 ,66574 ,957 -3,2270 1,1433
4,00 ,57718 ,37840 ,967 -,6648 1,8192
5,00 ,83485 ,34379 ,382 -,2935 1,9632
6,00 ,39675 ,41873 1,000 -,9776 1,7711
8,00 ,38818 ,56409 1,000 -1,4633 2,2397
8,00 1,00 -1,93667 ,70713 ,200 -4,2576 ,3843
2,00 -,23667 ,61239 1,000 -2,2467 1,7734
3,00 -1,43000 ,79059 ,852 -4,0249 1,1649
4,00 ,18900 ,57010 1,000 -1,6822 2,0602
5,00 ,44667 ,54774 1,000 -1,3512 2,2445
6,00 ,00857 ,59763 1,000 -1,9530 1,9702
7,00 -,38818 ,56409 1,000 -2,2397 1,4633
Dependent Variable: PI
Hochberg
(I) LABELS soc
Mean Difference (I-
J)
Std. Error Sig. 95% Confidence Interval
Lower Bound
Upper Bound
1,00 2,00 -,38500 ,62107 1,000 -2,4235 1,6535
3,00 -,66417 ,67083 1,000 -2,8660 1,5377
4,00 ,40679 ,49796 1,000 -1,2277 2,0412
5,00 ,01583 ,50710 1,000 -1,6486 1,6803
6,00 -,46250 ,56696 1,000 -2,3234 1,3984
7,00 ,96350 ,51962 ,824 -,7420 2,6690
8,00 -,49000 ,62107 1,000 -2,5285 1,5485
2,00 1,00 ,38500 ,62107 1,000 -1,6535 2,4235
3,00 -,27917 ,67083 1,000 -2,4810 1,9227
4,00 ,79179 ,49796 ,950 -,8427 2,4262
5,00 ,40083 ,50710 1,000 -1,2636 2,0653
6,00 -,07750 ,56696 1,000 -1,9384 1,7834
298
7,00 1,34850 ,51962 ,037 -,3570 3,0540
8,00 -,10500 ,62107 1,000 -2,1435 1,9335
3,00 1,00 ,66417 ,67083 1,000 -1,5377 2,8660
2,00 ,27917 ,67083 1,000 -1,9227 2,4810
4,00 1,07095 ,55880 ,782 -,7632 2,9051
5,00 ,68000 ,56696 ,998 -1,1809 2,5409
6,00 ,20167 ,62107 1,000 -1,8369 2,2402
7,00 1,62767 ,57818 ,017 -,2701 3,5254
8,00 ,17417 ,67083 1,000 -2,0277 2,3760
4,00 1,00 -,40679 ,49796 1,000 -2,0412 1,2277
2,00 -,79179 ,49796 ,950 -2,4262 ,8427
3,00 -1,07095 ,55880 ,782 -2,9051 ,7632
5,00 -,39095 ,34553 ,999 -1,5251 ,7432
6,00 -,86929 ,42858 ,698 -2,2760 ,5374
7,00 ,55671 ,36366 ,965 -,6369 1,7504
8,00 -,89679 ,49796 ,857 -2,5312 ,7377
5,00 1,00 -,01583 ,50710 1,000 -1,6803 1,6486
2,00 -,40083 ,50710 1,000 -2,0653 1,2636
3,00 -,68000 ,56696 ,998 -2,5409 1,1809
4,00 ,39095 ,34553 ,999 -,7432 1,5251
6,00 -,47833 ,43916 1,000 -1,9198 ,9631
7,00 ,94767 ,37608 ,032 -,2867 2,1821
8,00 -,50583 ,50710 1,000 -2,1703 1,1586
6,00 1,00 ,46250 ,56696 1,000 -1,3984 2,3234
2,00 ,07750 ,56696 1,000 -1,7834 1,9384
3,00 -,20167 ,62107 1,000 -2,2402 1,8369
4,00 ,86929 ,42858 ,698 -,5374 2,2760
5,00 ,47833 ,43916 1,000 -,9631 1,9198
7,00 1,42600 ,45357 ,073 -,0627 2,9147
8,00 -,02750 ,56696 1,000 -1,8884 1,8334
7,00 1,00 -,96350 ,51962 ,824 -2,6690 ,7420
2,00 -1,34850 ,51962 ,037 -3,0540 ,3570
3,00 -1,62767 ,57818 ,017 -3,5254 ,2701
4,00 -,55671 ,36366 ,965 -1,7504 ,6369
5,00 -,94767 ,37608 ,032 -2,1821 ,2867
6,00 -1,42600 ,45357 ,073 -2,9147 ,0627
8,00 -1,45350 ,51962 ,175 -3,1590 ,2520
8,00 1,00 ,49000 ,62107 1,000 -1,5485 2,5285
2,00 ,10500 ,62107 1,000 -1,9335 2,1435
3,00 -,17417 ,67083 1,000 -2,3760 2,0277
4,00 ,89679 ,49796 ,857 -,7377 2,5312
5,00 ,50583 ,50710 1,000 -1,1586 2,1703
6,00 ,02750 ,56696 1,000 -1,8334 1,8884
7,00 1,45350 ,51962 ,175 -,2520 3,1590
299