multidimensional framework of impulse...
TRANSCRIPT
MULTIDIMENSIONAL FRAMEWORK OF IMPULSE
BUYING: A STUDY OF URBAN CONSUMERS
THESIS
SUBMITTED TO THE UNIVERSITY OF JAMMU
FOR THE AWARD OF DEGREE OF
DOCTOR OF PHILOSOPHY
IN MANAGEMENT
BY
ANKITA NANDA
UNDER THE SUPERVISION OF
PROF. ALKA SHARMA
THE BUSINESS SCHOOL
UNIVERSITY OF JAMMU
FACULTY OF BUSINESS STUDIES
UNIVERSITY OF JAMMU
JAMMU
2013
Dedicated to
My Little Princess
MYRAH
CERTIFICATE
Ankita Nanda, who was registered for the Degree of Ph.D. under my supervision, has
completed her work. The exact title of her thesis is “MULTIDIMENSIONAL FRAMEWORK
OF IMPULSE BUYING: A STUDY OF URBAN CONSUMERS”.
I certify that she has worked under my supervision and the work done by her is original and
worthy of consideration for the award of Degree of DOCTOR OF PHILOSOPHY in
Management.
I further certify that:
1. The thesis embodies the work of the candidate herself.
2. The candidate worked under my supervision for the period required under Statues;
3. The candidate has put in the required attendance in the Department during the period.
4. The candidate has fulfilled the Statutory conditions as laid down in Section 18 of Statues
Governing Doctor of Philosophy in Management; and
5. The conduct of the scholar remained satisfactory during the period of research.
Dated
Dr. Alka Sharma Prof. Versha Mehta
Professor Director
The Business School The Business School
University of Jammu University of Jammu
Jammu Jammu
ACKNOWLEDGEMENT
This dissertation is a milestone in my academic career. I have been fortunate to learn theories
and concepts which would have been impossible if I had not extensively carried out the needed
research. I am grateful to a number of people who have guided and supported me throughout the
research process and provided assistance for my venture.
At this moment of accomplishment, I would first and foremost thank my guide Prof. Alka
Sharma, who has the attitude and substance of a genius. She continually and convincingly
conveyed a spirit of adventure with regard to research and scholarship, and an excitement
regarding teaching. I am indeed very thankful to her for taking me as a scholar. This work would
not have been possible without her guidance, support and encouragement. Under her guidance I
successfully overcame many difficulties and learnt a lot. I can’t forget how she used to review
my thesis progress, gave her valuable suggestions from time to time and made corrections. It is
due to her hard efforts and commitment that has made this thesis possible. Thank you very much
mam, I sincerely owe you so much. Apart from her being my guide, she is a wonderful person at
heart and I thank you again mam for this lifelong relationship that we have of a guide and
scholar. I could not have imagined having a better advisor and mentor for my Ph.D study.
I express my deepest gratitude to respected Prof. Versha Mehta, Director of The Business
School, University of Jammu, for her encouragement, never ending support and guidance. I
really appreciate the time you took out from your busy schedule to interact with the scholars and
solve their problems.
I owe my thanks to the entire faculty of The Business School, University of Jammu, including
Prof. Keshav Sharma, Prof. Neelu Rohmetra, Prof. B.C. Sharma, Dr. Rajinder Mishra, Dr.
Parikshat Manhas, Dr. Sameer Gupta, Dr. Vinay Chauhan, Dr. Jaya Bhasin, Dr. Anil
Gupta, Dr. Amisha Gupta, Dr. Rachna Mahajan, Ms. Saloni Devi for their encouragement
and support in one way or the other.
I would also like to specially thank Dr. Anil Gupta and Dr. Komal Nagar for extending their
valuable help and suggestions whenever required.
A very special thanks to my friend who is now a faculty member, Ms. Farah Choudhary who
has been always there for me whenever I had a problem. Also, she was the one who boosted my
morale constantly to complete my work in two years.
My warm appreciation is due to the non teaching staff of The Business School, Therefore I
would like to express my heartfelt thanks to Mrs. Sneh Lata, Ms. Kusum, Mr. Balwan Singh,
Mr. Rajneesh Baru, Mr. Sanjeev Gupta, Mr. Dilip Bhat, Mr. Gurcharan Singh, Ms. Sakshi
Gupta, Mr. Arjun, Mr. Moti, Mr. Dhuni Raj, Mr. Tilak, Mr. Parshotam Kumar, Mr. Raj
Kumar.
I express my thanks to the library staff especially Mrs. Anju Gupta, Mrs. Rupali Abrol and
Mr. Sharif for their support in providing books and Journals whenever needed.
My thanks are due to my co- researchers Ms. Shelleka Gupta, Dr. Mandeep Singh Kapur,
Dr. Vinod Kumar, Dr. Bhanu Pratap Singh, Dr. Pallavi Arora, Dr. Ridhi Sharma, Ms.
Hena Sharma, Ms. Sushma Kaushal, Ms. Shivani Rana, Mrs. Shilpa Mahajan, Ms. Goldy
Mahajan, Ms. Ranju Katoch, Ms. Shikha, Ms. Anju Thapa, Ms. Deeksha Singh, Ms. Palvi,
Ms. Vibhuti Jasrotia, Ms. Shruti Sharma, Mr. Anish Yousaf for their valuable suggestions
and help during my Ph.D work.
I also owe a humble thanks to the computer staff of Devans Modern Breweries Ltd especially
Mr. M.A Sunny and Mr. Subash Chander for helping me with the print outs and other
formatting.
Finally, I am grateful to my parents for their constant encouragement and support. My mother
always wanted me to be a doctor, now I can proudly say “Mummy this is for you”. I would also
like to specially thank my extended family who have always been there for me and provided me
a carefree environment so that I could concentrate on my study especially my better half who
first encouraged me to qualify NET- JRF and then pursue Ph.D. Thank you Vasu for being
always there for me, be it data collection, making data entries to taking the final prints.
I may have forgotten some of the worthy valuable support who contributed to this thesis in any
way. My heartfelt thanks to them all!
DECLARATION
I, Ankita Nanda, hereby declare that the thesis entitled “Multidimensional Framework of
Impulse Buying: A Study of Urban Consumers” submitted to the University of Jammu for the
award of Degree of Doctor of Philosophy in Management, is an original research work carried
out by me in The Business School at the University of Jammu during the period 2011-2013
under the supervision of Dr. Alka Sharma, Professor, The Business School, University of
Jammu. Any extract of this research in part or as a whole has not been included, incorporated or
added to any other work or similar title by any scholar in any other University.
Dated: Ankita Nanda
TABLE OF CONTENTS
Declaration
Acknowledgement
List of Tables
List of Figures
List of Acronyms Used
Contents Page No.
CHAPTER I: INTRODUCTION
1.1 Origins of Organized Retail in India 1
1.2 Organized Retailing as an Emerging Sector 5
1.3 Growth Drivers of Organized Retail in the Country 8
1.3.1 Drivers of Organized Retail in India – Demand Factors 9
1.3.1.1 Growing Young Population 9
1.3.1.2 Rising Disposable Income 10
1.3.1.3 Increasing Proportion of working women resulting in higher 11
discretionary spend
1.3.1.4 Changing consumer preferences 12
1.3.2 Drivers of Organized Retail in India-Supply side Factors 14
1.3.2.1 Easy Availability of Credit 14
1.3.2.2 Real Estate Development 15
1.3.2.3 Development of Supply Chain involving efficiencies 16
1.3.2.4 Government Regulations 17
1.4 Changing Consumer needs and Behavior 18
1.5 Impulse Buying Behavior 21
1.5.1 Types of Impulse Buying 26
1.5.2 Theories of Impulsive Buying 27
1.5.2.1 The Emotional/Impulsive Decision Making Theory and Impulsive Buying 27
1.5.2.2 The Consumer Decision Making Model 28
1.6 Importance of Impulse Buying in Organized Retail 28
1.7 Need for the Study 31
1.8 Conclusion 33
1.9 Outline of the Study 33
References 36
CHAPTER II- REVIEW OF LITERATURE
2.1 Review 40
2.2 Research Gap 61
References 63
CHAPTER III- MULTIDIMENSIONAL FRAMEWORK OF IMPULSE BUYING
3.1 INSTORE STIMULI 77
3.1.1 Attractive Display and Impulse Purchase 77
3.1.2 Sales Promotion and Impulse Purchase 81
3.1.3 Attractive Packaging and Impulse Purchase 84
3.2 SITUATIONAL FACTORS 86
3.2.1Time Availability and Impulse Purchases 86
3.2.2 Money Availability and Impulse Purchases 87
3.2.3Shopping Companion and Impulse Purchase 88
3.4 THE ROLE OF EMOTIONS AND HEDONISM IN PURCHASE BEHAVIORS 90
3.5 COGNITION AND IMPULSE PURCHASE 92
3.6 PERSONAL FACTORS 92
3.6.1 Impulse Buying Tendency and Impulse Purchase 92
3.6.2 Age, Gender, Income and Impulse Buying 94
3.7 Proposed Theoretical Framework 95
References 97
CHAPTER IV- RESEARCH METHODOLOGY
4.1 Research Purpose 105
4.2 Research Hypotheses 105
4.3 Research Objectives 111
4.4 Questionnaire Design and Development 111
4.5 Pretesting and Final Instrument 116
4.6 Sampling 122
4.7 Data Tabulation, Statistical Tools and Techniques Used For Processing 123
4.7.1 Measure of Central Tendency (Mean) 123
4.7.2 Measure of Dispersion (Standard Deviation) 124
4.7.3 Correlation Analysis: 124
4.7.4 Regression Analysis 124
4.7.5 Percentage Analysis 124
4.7.6 Reliability Analysis of Measurement Scales 125
4.7.7 Factor Analysis 125
4.7.8 Analysis of Variance (ANOVA) 125
4.7.9 Independent t test 126
4.7.10 Baron and Kenny Linear Equation Method 126
4.7.11 Sobel Test 126
References 128
CHAPTER V-DATA ANALYSIS AND FINDINGS
5.1 Demographic Profile of Respondents 135
5.2 Product Category Purchased 137
5.3 Data Purification Results 138
5.31 Reliability Analysis 138
5.32 Assessing Validity 139
5.33 Factor Analysis 142
5.4 Descriptive Statistics 146
5.5 Correlation Analysis 155
5.6 Regression Analysis 157
5.7 Analysis of Impulse Buying Tendency with Demographic Factors 167
5.8 Mediation Effect of Emotions 170
References 183
CHAPTER VI-SUMMARY, CONCLUSIONS AND SUGGESTIONS
6.1 Synoptic View 186
6.2 Objectives and their Achievement 189
6.3 Hypotheses Validation 191
6.4 Analysis of Impulse Buying Tendency with demographic factors 194
6.5 Mediation Effect of Emotions and Hedonism 195
6.6 Conclusions and Suggestions 198
6.7 Research Contribution 200
6.8 Managerial Implications 200
6.9 Recommendations for future Research 203
6.10 Limitations of the Study 203
References 204
Bibliography 208
Annexure
LIST OF TABLES
CONTENTS
Page No.
Table 1.1: Proportion of Young Population 2010 in different countries 10
Table 5.1: Genderwise Representation of Respondents 136
Table 5.2: Agewise Distribution of Respondents 136
Table 5.3: Annual Household Income Wise Representation of Respondents 137
Table 5.4: Product categories purchased on Impulse 138
Table 5.5: Discriminant Validity among constructs 140
Table 5.6a: Convergent validity incase of factor Time Availability 140
Table 5.6b: Convergent validity incase of factor Money Availability 141
Table 5.6c: Convergent validity incase of factor Shopping Companion 141
Table 5.6 d: Convergent validity for factor Attractive Display 141
Table 5.6 e: Convergent validity for factor Sales Promotion 142
Table 5.6 f: Convergent validity for factor Packaging 142
Table 5.7a: KMO value and Bartlett Test of Sphericity for Instore Stimuli 143
Table 5.7b:Total Variance Explained by Instore Stimuli 143
Table 5.7c Factor Loadings and Composite Reliability for Instore Stimuli 144
Table 5.8a: KMO and Bartlett's Test of Sphericity for Situational Factors 145
Table 5.8 b: Total Variance Explained by Situational factors 146
Table 5.8c: Factor Loadings and Composite Reliability for Situational factors 146
Table 5.9: Mean Score for Impulse Buying 147
Table 5.10: Mean Score for Time Availability 148
Table 5.11: Mean Score for Money Availability 148
Table 5.12: Mean Score for Shopping Companion 149
Table 5.13: Mean Score for Impulse Buying Tendency 150
Table 5.14: Mean Score for Hedonism 151
Table 5.15: Mean Score for Cognition 152
Table 5.16: Mean Score for Attractive Display 153
Table 5.17: Mean Score for Sales Promotion 154
Table 5.18: Mean Score for Attractive Packaging 154
Table 5.19: Mean Score for Emotions 155
Table 5.20: Inter Variable Correlation Matrix 156
Table 5.21a: ANOVA table Instore Stimuli and Impulse Buying 157
Table 5.21b: Regression Analysis: Instore Stimuli and Impulse Buying 158
Table 5.21c: Regression Coefficient Instore Stimuli and Impulse Buying 158
Table 5.22a: ANOVA table Situational Factors and Impulse Buying 159
Table 5.22b: Regression Analysis: Situational Factors and Impulse Buying 160
Table 5.22c: Regression Coefficient: Situational Factors and Impulse Buying 160
Table 5.23a: ANOVA table : Personal factors and Impulse Buying 161
Table 5.23b: Regression Analysis Personal Factors and Impulse Buying 161
Table 5.23c: Regression Coefficient: Personal Factors and Impulse Buying 161
Table 5.24a: ANOVA table: Emotions, Hedonism and Impulse Buying 162
Table 5.24b: Regression Analysis: Emotions, Hedonism and Impulse Buying 163
Table 5.24c: Regression Coefficient: Emotions, Hedonism and Impulse Buying 163
Table 5.25a: ANOVA table: Cognition and Impulse Buying 164
Table 5.25b: Regression Analysis: Cognition and Impulse Buying 164
Table 5.25c: Regression Coefficient: Cognition and Impulse Buying 164
Table 5.26a: Descriptive Statistics for gender 168
Table 5.26b:Independent t test for gender and impulse buying tendency 168
Table 5.27: ANOVA: Impulse buying tendency with respect to age and income group 169
Table 5.28: Tukey’s HSD Homogeneous subsets for age groups 169
Table 5.29:Tukey’s HSD Homogeneous subsets for income groups 170
Table5.30: Regression of Instore stimuli (IV) and Impulse buying(DV) 172
Table5.31: Regression of mediator emotions and Instore Stimuli(IV) 172
Table5.32:Regression equation of instore stimuli on impulse buying controlling 173
the mediator emotions.
Table5.33:Regression of mediator emotions and display 173
Table5.34:Regression equation of the predictor variable display on criteria 174
impulse buying controlling the mediator emotions
Table5.35:Regression of mediator emotions on predictor 174
sales promotion
Table 5.36: Regression equation of predictor variable sales promotionon impulse 175
buying controlling the mediator emotions
Table5.37: Regression of mediator emotions on predictor packaging 175
Table 5.38:Regression equation of predictor variable packaging on criteria impulse 176
buying controlling the mediator emotions
Table 5.39:Regression of mediator hedonism on predictor instore stimuli 176
Table 5.40: Regression equation of the predictor variable instore stimuli on criteria 177
impulse buying controlling the mediator hedonism
Table 5.41: Regression of mediator hedonism on predictor display 177
Table 5.42: Regression of predictor variable display on criteria variable impulse 178
Buying controlling the mediator hedonism
Table 5.43: Regression of mediator hedonism on predictor variable sales promotion 179
Table 5.44: Regression of predictor variable sales promotion on criteria variable 179
impulse buying controlling the mediator hedonism
Table 5.45: Regression of mediator hedonism on predictor variable packaging 180
Table 5.46: Regression of predictor variable packaging on criteria variable impulse 180
buying controlling the mediator hedonism
Table 5.47: Regression of mediator EH on predictor instore stimuli 181
Table 5.48: Regression of predictor variable instore stimuli on criteria variable impulse 181
buying controlling the mediator emotions and hedonism.
LIST OF FIGURES
Page No.
Figure1.1: Phases of Organised Retail. 3
Figure1.2: Organised Retail Market in $ US bn. 7
Figure 1.3: Organised Retail Penetration. 8
Figure 1.4: Confluence of Favourable Factors. 11
Figure 1.5: Working Women Demographics 12
Figure 1.6: FDI Policy Milestone. 18
Figure 1.7: Market break up by revenues. 20
Figure 1.8: Engel and Blackwell Model of Consumer Decision Making. 23
Figure 1.9: The Adjusted Engel and Blackwell Model of Consumer Decision Making. 24
Figure1. 10: Different Types of Impulse Buying. 27
Figure1.11: Organised Retail set up- Malls- New Mantra for Success. 30
Figure 1.12: Mall Space Distribution in Delhi and NCR. 32
Fig.5.1 Gender Wise Details of Respondents. 135
Fig.5.2 Age Wise Details of Respondents. 136
Fig.5.3: Annual Household Income. 137
Fig.5.4: Product category Purchased. 137
Fig.5.5: Mediation effect of hedonism on in store stimuli and impulse buying. 176
Fig 5.6: Mediation effect of hedonism on display and impulse buying. 177
Fig 5.7: Mediation effect of hedonism on sales promotion and impulse buying. 179
Fig 5.8: Mediation of emotions and Hedonism on In store Stimuli and impulse 181
buying
LIST OF ACRONYMS USED
APMC Agriculture Produce Marketing Committee
CAGR Compounded Annual Growth Rate
CD’s Compact Disks
CIFE Consumption Impulse Formation Enactment
CRISIL Credit Rating Information Services of India
Limited
DIPP Department of Industrial Promotion and Policy.
DLF Delhi Land and Finance
EBO Exclusive Brand Outlets
Economic Relations.
F&G Food and Grocery
FDI Foreign Direct Investment
GDP Gross Domestic Product
HSBC Hongkong Shanghai Banking Corporation
IBT Impulse Buying Tendency
ICC International Chamber of Commerce
ICI Investment Commission of India
ICRIER Indian Council for Research on International
IT Information Technology
JV Joint Venture
KPMG Klynveld Peat Marwick Goerdeler
MPCE Monthly Per Capita Expenditure
NCR National Capital Region
NSSO National Sample Survey Organization
ORP Organized Retail Penetration.
POPAI Point of Purchase Association International
PPP Purchasing Power Parity
SOR Stimulus-Organism-Response
SPSS Statistical Package for Social Sciences
UB United Breweries
CHATPTER 1
INTRODUCTION
CHAPTER 2
REVIEW OF
LITERATURE
CHAPTER 3
MULTIDIMENSIONAL
FRAMEWORK OF
IMPULSE BUYING
CHAPTER 4
RESEARCH
METHODOLOGY
CHAPTER 5
DATA ANALYSIS AND
FINDINGS
CHAPTER 6
SUMMARY
CONCLUSIONS AND
SUGGESTIONS
BIBLIOGRAPHY
ANNEXURE