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i Leveraging Dynamic Capabilities in the Creation of Virtual Servicecape in China Ms Yang Zhang (Joy) Bachelor of Business (Marketing/Advertising) Graduate Diploma in Secondary Education A THESIS SUBMITTED IN FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF PHILOSOPHY School of Advertising, Marketing and Public Relations QUT Business School Queensland University of Technology 2020

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Page 1: Leveraging Dynamic Capabilities in the Creation of Virtual … · 2020. 9. 17. · Based on the strategic management literature, competitive advantage lies in the firm’s dynamic

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Leveraging Dynamic Capabilities in the Creation of Virtual Servicecape in China

Ms Yang Zhang (Joy)

Bachelor of Business (Marketing/Advertising)

Graduate Diploma in Secondary Education

A THESIS SUBMITTED

IN FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF

MASTER OF PHILOSOPHY

School of Advertising, Marketing and Public Relations

QUT Business School

Queensland University of Technology

2020

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Supervisors

Principal Supervisor

Associate Professor Shane Mathews

QUT Business School, School of Advertising, Marketing and Public Relations

Queensland University of Technology

Associate Supervisor

Dr Alvin Tan

QUT Business School, School of Advertising, Marketing and Public Relations

Queensland University of Technology

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Keywords Digital transformation, dynamic capabilities, virtual servicescape, capability

development, service innovation, virtual firms, strategic management

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Abstract Based on the strategic management literature, competitive advantage lies in the

firm’s dynamic capabilities. Although the strategic importance of dynamic capabilities

has been recognised, the specific type of dynamic capabilities required in digital

transformation remains underexplored. The advancement of novel and powerful

technologies (artificial intelligence, machine learning and Internet-of-Things) has enabled

a more efficient and effective manner for firms to build their dynamic capabilities for

value creation and capture. Digital transformation has become a strategic priority for many

enterprises, and yet, relatively little has been written about how it sustains a firm’s

competitive advantage. In order to study the value co-creation in this complex

phenomenon, Wilden et al (2017) highlighted the need to integrate service dominant logic

with dynamic capabilities. This research examines the building of dynamic capabilities in

the phenomenon of digital transformation with a Service Dominant logic lens. In particular,

the research sets the context of the study in the creation of virtual servcescape in China,

where changes are rapid, disruptive and less predictable. To thrive in such an ambiguous

or uncertain digital environment, firms must maintain ongoing evolutionary fitness

through digital transformation.

Drawing on in-depth and semi-structured interviews with eight business founders,

the research findings extend the literature by providing insights related to dynamic

capabilities used in the creation of virtual servicescape. The study finds that omni-channel

management capabilities are a new capability that is of critical importance in developing

dynamic capabilities. Furthermore, this study identified three extra dynamic capabilities,

that are of paramount importance in helping a firm to conquer these digital challenges,

namely; entrepreneurial capabilities (Zahra et al., 2011), absorptive capabilities (Wang et

al., 2007), and political influencing capabilities in combination to best exploit these new

virtual opportunities. The findings from this research indicate that entrepreneurial and

absorptive capabilities are the “sticky” firm-level resources that collectively contribute to

the creation of a unique resource bundle for nourishing, flourishing and sustaining

innovations in digital environments. Further, the findings suggest that political influencing

capabilities are critical for firms to thrive in the creation of virtual servicescape in dynamic

industrial settings. Finally, the findings of this study showed that organisations take a

particular technological path for service innovation (overcome resources restraints and

deficiencies on capabilities) through digital transformation towards virtualisation.

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For practitioners, the research findings present a range of specific capabilities that

firms should prioritise when facing environmental uncertainty. Whilst development of

capabilities is important for successful digital transformation in virtual servicescape, the

capacity of IT infrastructure of a firm is equally critical. Firms should work on developing

capabilities related to multi-faceted platforms to enhance its organisational agility as this

assists the firm to accumulate tacit and codified knowledge for greater digital

transformation.

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Table of Contents

Supervisors .................................................................................................................... iii

Keywords ...................................................................................................................... iv

Abstract .......................................................................................................................... v

List of Figures and Tables .............................................................................................. x

Statement of Original Authorship ................................................................................. xi

Acknowledgements ...................................................................................................... xii

CHAPTER ONE: INTRODUCTION .......................................................................... 13

1.1 Introduction ....................................................................................................... 13

1.2 Virtual servicescape in China............................................................................ 14

1.3 Theoretical background ..................................................................................... 16

1.4 Research questions ............................................................................................ 18

1.5 Methodology ..................................................................................................... 19

1.6 Contributions ..................................................................................................... 20

1.7 Thesis outline .................................................................................................... 21

CHAPTER TWO: LITERATURE REVIEW .............................................................. 23

2.1 Introduction ....................................................................................................... 23

2.2 Service-dominant logic (S-D Logic) ................................................................. 23

2.3 Servicescape ...................................................................................................... 28

2.3.1 Physical Servicescape .................................................................................... 28

2.3.2 Virtual Servicescape ...................................................................................... 29

2.4 Digital transformation ....................................................................................... 32

2.4.1 Capability distance of digital transformation ................................................ 33

2.5 Resource and capability view of digital transformation ................................... 35

2.5.1 Resource-based view ..................................................................................... 35

2.5.2 Dynamic capability view of the firm ............................................................. 36

2.6 Research gaps and questions ............................................................................. 41

2.7 Conclusion ........................................................................................................ 42

CHAPTER THREE: RESEARCH METHODOLOGY & DESIGN ........................... 43

3.1 Introduction ....................................................................................................... 43

3.2 Research approach ............................................................................................ 43

3.3 Unit of analysis ................................................................................................. 46

3.4 Research design: Multiple case studies ............................................................. 47

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3.4.1 Case selection ................................................................................................. 47

3.4.2 Data collection ............................................................................................... 49

3.4.3 Data coding and analysis ............................................................................... 51

3.5 Criteria for evaluating the quality of case studies ............................................. 52

3.5.1 Criterion One: Credibility .............................................................................. 52

3.5.2 Criterion Two: Transferability ....................................................................... 53

3.5.3 Criterion Three: Dependability ...................................................................... 53

3.5.4 Criterion Four: Confirmability ....................................................................... 54

3.6 Ethical considerations & limitations .................................................................. 54

3.7 Conclusions ....................................................................................................... 55

CHAPTER FOUR: FINDINGS .................................................................................... 56

4.1 Introduction ....................................................................................................... 56

4.2 Within-case Analysis ......................................................................................... 56

4.2.1 Case GmA: Fashion label company ............................................................... 60

4.2.2 Case GmB: Fabric and furniture company .................................................... 60

4.2.3 Case GsC: Beauty company ........................................................................... 61

4.2.4 Case SmD: Media company ........................................................................... 61

4.2.5 Case SmE: Home automation system ............................................................ 62

4.2.6 Case SsF: Gaming marketing agency ............................................................ 62

4.2.7 Case SsG: Marketing services ....................................................................... 62

4.2.8 Case SsH: Development company ................................................................. 63

4.3 Cross-case analysis ............................................................................................ 63

4.3.1 Research question one ......................................................................................... 63

4.3.1.1 Dimension 1: Technical distance ............................................................... 65

4.3.1.2 Dimension 2: Market distance .................................................................... 71

4.3.1.3 Dimension 3: Business model distance ...................................................... 79

4.4 Research Question Two ..................................................................................... 86

4.4.1 Dimension One: Sensing capability ............................................................... 87

4.4.2 Dimension Two: Seizing capability ............................................................... 89

4.4.3 Dimension Three: Transforming capability ................................................... 91

4.5 Conclusions ....................................................................................................... 92

CHAPTER FIVE: DISCUSSION AND CONCLUSION ............................................ 94

5.1 Introduction ....................................................................................................... 94

5.2 Overall findings ................................................................................................. 95

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5.2.1 Overall findings: Research Question One ..................................................... 95

5.2.2 Overall findings: Research Question Two .................................................... 96

5.3 Theoretical Contributions ................................................................................. 98

5.3.1 Theoretical contribution one ......................................................................... 99

5.3.2 Theoretical contribution two ....................................................................... 101

5.3.3 Theoretical contribution three ..................................................................... 105

5.4 Managerial contributions ................................................................................ 107

5.5 Limitations and future research ....................................................................... 108

5.6 Conclusion ...................................................................................................... 109

6 APPENDICES .................................................................................................... 111

7 REFERENCE ..................................................................................................... 113

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List of Figures and Tables

Figure 1.1 Diagrammatic overview of Chapter One 14

Figure 1.2 A visual outline of the structure of the thesis 22

Figure 2.1 Diagrammatic overview of Chapter Two 23

Table 2.2 Foundational premises of service-dominant logic 28

Figure 3.1 Diagrammatic overview of Chapter Three 44

Table 3.2 Four major research paradigms 45

Figure 3.3 Critical realism strata of reality 46

Figure 3.4 Nascent theoretical maturity 47

Figure 3.5 Criteria of case selection 50

Figure 3.6 Research protocol 51

Table 3.7 Four principles of data collection 52

Figure 3.8 Data coding and analysis 53

Table 3.9 Address qualitative criteria of trustworthiness 55

Figure 4.1 Diagrammatic overview of Chapter Four 57

Table 4.2 Descriptive summary of case firms 60

Table 4.3 Cross-case analysis: research question and key data sources 63

Table 4.4 Capability distances to new virtual servicescape 64

Table 4.5 Type of technical distance in virtual servicescape creation 66

Table 4.6 Supporting quotations for technical distance 69

Table 4.7 Type of market capability in virtual servicescape creation 71

Table 4.8 Supporting quotations for market distance 76

Table 4.9 Type of business model adaption capability in virtual

servicescape creation 77

Table 4.10 Supporting quotations for business model distance 82

Table 4.11 Cross-case analysis: RQ two and key data sources 83

Figure 4.12 Building sensing capabilities 84

Figure 4.13 Building seizing capabilities 86

Figure 4.14 Building transforming capabilities 87

Figure 5.1 Diagrammatic overview of Chapter Five 90

Figure 5.2 Transition of service platform business models 98

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Statement of Original Authorship

The work contained in this thesis has not been previously submitted to meet

requirements for an award at this or any other higher education institution. To the best of

my knowledge and belief, the thesis contains no material previously published or written

by another person except where due reference is made.

Signature: QUT Verified Signature

Date: 16 September 2020

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Acknowledgements

Undertaking this Master of Philosophy Research degree has been a challenging

(for someone who cannot sit still for more than one hour) but also rewarding experience.

I would like to thank all the people who have supported me in this adventure.

First and foremost, I would like to thank my supervisors, Associate Professor

Shane Mathews and Dr Alvin Tan, for their support, wisdom and motivation. It has been

a privilege to be the student of such humble, professional and supportive mentors. Their

fine support truly empowered me in this journey.

I would like to express my gratitude and appreciation to Associate Professor Shane

Mathews for his continuous encouragement and feedback. Your valuable advice has not

only allowed me to overcome many challenges and frustrations but also supported me to

develop enduring life skills to become resilient and adventurous in spirit.

I would also like to thank Queensland University of Technology (QUT) and QUT

Business School, where diverse opportunities and experiences are offered to enrich my

early researcher career. Further, I would like to gratefully acknowledge Australian

Government’s Research Training Scheme, without this financial scheme, I would not

have even been able to start my academic pursuit.

Finally, a big thank you goes out to all my friends, families, the fur baby and

Animal crossing for marching down the journey with me. I would like to thank mum and

dad for instilling this idea of passion for learning when I was young. I am also grateful to

my friends Jacqueline, Jessica, Sarah (and Michael) and Sylvia for their wavering

supports. A special thank you goes to my fiancé, Jackson Shaw, for his, encouragement,

incredible support and unconditional love.

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CHAPTER ONE: INTRODUCTION 1.1 Introduction

The advancement of innovation in the areas of artificial intelligence, big data and

Internet of Thing has significantly accelerated the shift of the business landscape toward

digital orientation (Matt, Hess & Benlian, 2015; Mendonça & Andrade, 2018; Warner &

Wäger, 2019). To stay ahead of the competition, digital transformation is increasingly

deemed as a strategic priority by many firms (Fitzgerald et al., 2014; Hess et al., 2016;

Matt et al., 2015). Such change forces some firms to blindly adopt technological resources

to keep abreast of competitors but only to find that the businesses are struggling for

resources and so called “digital improvements” are vulnerable when facing deep

uncertainty (Andal-Ancion, Cartwright, & Yip, 2003; McKinsey, 2018). However, some

firms successfully profit from digital transformation phenomena (Matt et al., 2015;

Mendonça & Andrade, 2018; Teece, 2019a). These firms showcase similar characteristics:

innovative, entrepreneurial and strategically agile, which enable them to thrive in a digital

environment (Ellonen et al., 2009; Lyytinen, Yoo & Boland, 2016; Teece, 2018, 2019a).

However, scant scholarly attention has been paid to study the phenomena of digital

transformation (Chanias, Myers & Hess, 2019; Verhoef & Bijmolt, 2019; Vial, 2019;

Warner & Wager, 2019).

The possession of dynamic capabilities has been highlighted as a way in which to

help firms sustain its competitive advantage (Teece, 1982, 2007, 2014; Teece, Pisano, &

Shuen, 1997; Winter, 2003). Although dynamic capabilities are not fully understood

within the theory of the firm, it explains the mechanism of firm’s long-term growth by

detailing how resources and capabilities are built, renewed and reconfigured to match

market while simultaneously managing competitive threats and effectuating necessary

transformations (Teece, 2010a). Central to dynamic capabilities is the idea of resources

orchestration to build new capabilities that meet the demand of external environment

(Svahn et al., 2017; Teece, 2019a). Strong dynamic capabilities are proven to improve

business performance through creating, capturing and protecting value in a more effective

manner (Helfat & Martin, 2015). Thus, it is argued that a firm’s competitive advantage

lies in a firm’s capabilities, specifically, dynamic capabilities (Eisenhardt & Martin, 2000;

Schilke, 2014; Sutton, 2005; Teece, 2019a; Winter, 2003). Despite the strategic

importance of digital transformation and dynamic capabilities, the development of

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dynamic capabilities in digital transformation remains underexplored (Warner & Wager,

2019).

More recently, the literature of service science suggested that Service-Dominant

Logic (S-D logic) offers a more comprehensive lens to understand the mechanisms of

value co-creation in a complex phenomenon (Chandler & Lusch 2015; Vargo & Lusch,

2004, 2008, 2016). Specifically, Wilden et al (2017) highlighted the need to merge S-D

logic with dynamic capabilities for a deeper understanding of value creation. As such, this

study explores the phenomenon of digital transformation in the creation virtual

servicescape through the lens of S-D logic and dynamic capability view (Li et al., 2018;

Ostrom et al. 2015; Singh & Hess, 2017; Teece, 2019a; Warner & Warger, 2019). To

address these gaps, Chapter One introduces the background of the research by presenting

the evidence associated to the topic of focus, followed by identifying research problem

and research gaps that provides the rational for conducting the study. A brief overview of

research design is included. Finally, Chapter One concludes with contributions and thesis

outline. Key terms and definitions are also presented in this chapter. A diagrammatic

overview of Chapter One is presented in Figure 1.1.

Figure 1.1 Diagrammatic overview of Chapter One

1.2 Virtual servicescape in China

China, the world’s largest digital retail market, is shifting digital commerce and

innovation on a global scale (PwC, 2018). The Chinese digital retail market, accelerated

by sophisticated internet infrastructure and rising mobile users, has matured into “new

retail” phase (Deloitte, 2018). The new retail normal provides seamless consumer service

1.7 Thesis outline

1.6 Contributions

1.5 Methodlogy

1.4 Research questions

1.3 Theoretical background

1.2 Virtual servicescape in China

1.1 Introduction

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experience by breaking the “invisible wall” between online and offline (Wasserman,

2015). Online retail transaction value in China is forecasted to reach US$1.5 trillion in

2019, at a compound annual growth rate of 9%, almost three times higher than the retail

sales of the US market (McKinsey, 2019). It is recorded that gross merchandise value hit

US$ 38.3 billion on Chinese single’s day in 2019, the world’s largest 24-hour online

shopping event (CNBC, 2019). Such sheer scale of virtual landscape has made China a

strategically significant market for investors.

While the new retail trend provides business the opportunities to connect and

interact seamlessly with consumers across multiple channels without interruption, the

digital market is filled with unknown challenges, intense competitions and frequent

innovations (McKinsey, 2019; PwC, 2016). For example, Internet-related innovation

investment had skyrocketed to US$ 20 billions in 2015 and the same year, total deal

volume of venture capital investment increased to 1,726 from 509 in China (PwC, 2016).

The country currently holds the largest collections of “unicorn” companies that valued at

US$ 1 billion or higher (PwC, 2016). The rapid increase in start-up and venture capital

investment has created a “high-velocity” digital market in which changes are rapid,

disruptive and less predictable (Eisenhardt & Martin, 2000). According to PwC (2016),

the speed of replication of a new digital feature, design or service from one Chinese

company to another is often achieved and enhanced within weeks, not months. Along with

its political factors and unforeseen digital market practices, Chinese virtual landscape is

perceived to be challenging not only for multi-national companies but also small and

medium enterprises (Li et al., 2018; Waldmeir & Anderlini, 2015; Williamson, 2016).

To thrive in ambiguous digital market environment, firm must maintain ongoing

evolutionary fitness to adapt to continuous changes of consumer preferences,

technological disruptions and market movements (Teece, 2007, 2014; Teece, Pisano, &

Shuen, 1997). That is, firms need to maintain balance between “the demand side” (what

consumers want) and “the supple side” (build capabilities that do not currently exist inside

the firm to meet the demand). In the context of virtual servicescape in China, the demand

side has changed drastically due to the accumulation of wealth and technological

developments (Li & Liu, 2014; Watering, Mikalef & Pateli, 2017). Quantity can no longer

satisfy the craving of online consumers in China, rather, an entertaining and personalised

online shopping experience complemented with a variety selection of premium products

and fine services (Deloitte, 2018; McKinsey, 2019; PwC, 2018). Such upgrade of

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consumption from the demand side has a profound impact on the supply side - firms’ value

proposition across multiple channels; meaning that strong dynamic capabilities must be

exercised to undergird sustainable competitive advantage in digital environment (Davis &

Dickson, 2014; Williamson & Yin, 2011). Since the dynamic capabilities’ literature has

only paid limited attention to virtual servicescape, this study explores the processes of

virtual servicescape creation to identify the specific types of dynamic capabilities that

firms need to develop to secure successful transformation.

1.3 Theoretical background

The nature of services and how services are delivered have been fundamentally

changed due to technological development (Bitner et al., 2010). Thus, the role and the

scope of technological changes should be reviewed in the study of service (Akaka et al.,

2014; Nilsson & Ballantyne, 2014; Rust 2004). In S-D logic, technologies are viewed as

an operant resource that are drawn upon to serve a human purpose, co-creating value and

facilitating service innovation (Akaka & Vargo, 2014; Arthur, 2009; Spohrer & Maglio

2010). Based on this emphasis, Akaka and Vargo (2015) specified that the internet should

be viewed as operant resources, as the internet opens up indefinite possibilities of

interactions, indicating a possible behavioural change in the perceived servicescape

Ballantyne and Nilsson (2017) revealed three trends transforming the characteristics

of servicescape in virtual environment. First, the role of the internet in virtual servicecape

transforms the dyadic relationship between firms and customers in physical servicecsape

to an interconnected web involving a network of wider range of actors co-creating value

through iterative process of configurations (Ballantyne & Nilsson, 2017). For example,

multiple actors such as influencers, suppliers, sellers, website designer, buyers and other

potential actors are required in order to fulfil a customer’s online order. Second,

communication is an ongoing process that simulating the experience of being physically

present in a virtually created environment (Bolton et al., 2018; Nilsson & Ballantyne,

2017). For example, 24/7 available virtual customer service to manage customer

engagement in virtual reality to stimulate brand interaction and nurture service relations

in physical world (Bolton 2011). Further, the role of actors in virtual servicescape, mostly

beneficiary of a service, are increasingly active in the process of value co-creation

contrasting to the legacy understanding of participants role as being scripted, staged and

controlled (Akaka et al., 2015; Baumöl et al. 2016; Sawhney et al. 2005). All the digital

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changes in virtual environment eventually influence the operational of a business in the

form of business model, structure, value and process (Hess et al., 2016). In the adaption

to technological environment, some firms are able to translate its competitive advantage

in servicescape by responding to digital challenges in an efficient and effective manner,

while others struggle. This implies that fast-moving hypercompetitive virtual servicescape

offers a rich context to study dynamic capabilities, leading to the discussion of resources-

based view of the firm.

Penrose’s seminal work “The Theory of the Growth of the Firm” is considered as

one of the most influential firm growth theories in the field of strategic management.

Penrose’s theory has contributed to the development of resource-based view of firm

(Wernerfelt, 1984) and its now the building block for dynamic capability (Penrose, 1959;

Pitelis, 2007; Teece, 2007). Resources-based view emphasises the strategic importance of

firm level resources (Barney, 1991; Wernerfelt, 1984). While Wernerfelt (1984) defined

resources as any tangible and intangible assets, Barney (1991, p.101; 2002, p.155) defined

resources as “all assets such as capabilities, organisational processes knowledge that

controlled by a firm that enable the firm to conceive of and implement strategies that

improve its efficiency and effectiveness.” Although both Barney (1991) and Wernerfelt

(1984) hold define resources differently, their argument on value-creating resources

showed significant similarities. That is, a firm’s source of competitive advantage is linked

to its internal resource profile that shows traits of valuable, rare, inimitable and non-

substitutable (VRIN) (Barney, 1986; Peteraf, 1993; Wernerfelt, 1984). However, with the

development of resources-based view, the assumption of VRIN as the key to achieve

sustained competitive advantage has been criticised. Firstly, the resource-based view

leaves firms vulnerable in rapidly changing environment as the view is static, excluding

the consideration of dynamic environment (Fiol, 2001). Secondly, the inclusive definition

of resources does not distinguish capabilities from resources (Kraaijenbrink et al., 2009;

Schreyögg & Kliesch-Eberl, 2007). That is, the ownership of valuable resources will

eventually lose its value and become harmful to the development of the firm. Such

emphasis on resources and lack of acknowledgment of capabilities have highlighted the

limitations of the resources-based view, suggesting the need for a new coherent framework

that can capture the essence of competitive advantage in a rapidly changing context

(Kraaijenbrink et al., 2009; Teece et al., 1997; Teece, 2007).

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While tangible and intangible resources such as knowledge, skills and machineries

are important, the way these resources are orchestrated becomes critical to sustain a firm’s

competitive advantage (Teece, 2019a). The ability of resource orchestration is identified

as dynamic capabilities. Teece explained “dynamic” as the capacity of timely

responsiveness of the firm and “capabilities” as the ability of senior management in

adapting and reconfiguring existing competences to meet market needs (Teece et al.,

1997). The definition has highlighted three characteristics of dynamic capabilities that are

particularly relevant for firms going through digital transformation. Firstly, dynamic

capabilities framework emphasises on the importance of capability adaption to external

and deep uncertainty environment (Teece, 2019). The process of digital transformation

involves high uncertain events, which often require firm to perform rapid decision making

to meet environmental changes (Harvard Business Review, 2019). That means ownership

of dynamic capabilities during digital transformation is important as its inherent flexibility

hedging firms from risks. Secondly, dynamic capabilities are often developed in-house

and rested in senior management (Teece, 2019). That is, dynamic capabilities cannot be

purchased or borrowed. In order to “make” dynamic capabilities, firms, in particular,

senior management needs to perform a series of agile decision makings on what scarce

resources to renew, what capabilities to build, when to enter the market and how to defend

competitors so that to sustain its competitive advantage (Helfat et al., 2007). Finally,

dynamic capabilities are embedded in organisational routines and processes meaning that

manipulation of resources and capabilities is a development of organisational capabilities

(Deken et al., 2016; Feldman et al., 2016; Teece et al., 1997). Overall, dynamic capabilities

are critical in sustaining a firm’s competitive advantage in drastic changing environments

(Matt, Hess & Benlian, 2015). Therefore, understanding how firms build dynamic

capabilities, leading to superior performance (and profit) is important.

1.4 Research questions

Key to maintain superior performance is the possession of dynamic capabilities as

it allows the firm to continuously sensing, seizing opportunity and reconfiguring existing

competence and resources to address new opportunities (Ojasalo et al., 2015; Teece,

2007). To survive and thrive in an environment characterised by technological changes,

some firms pursue digital transformation, that is, transitioning from a traditional strategic

orientation to a service dominant orientation. However, the success rate of digital

transformation recorded a new low, at 21 percent (McKinsey, 2018), which leads to the

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thinking as to why some companies have achieved success and what they have done

differently. This remains scarcely explored in the literature of both strategic marketing

and service science. Since the core of both service-dominant logic and dynamic

capabilities are about value creation and capture, there is a need to apply S-D logic to

renew dynamic capabilities to develop insights that explain how competitive advantage is

sustained in digital environment (Akaka et al., 2015; Vargo et al., 2015; Warner & Wager,

2019; Wilden et al., 2017). Furthermore, since Teece (2019a) highlighted that

transformation is one of the phenomena in addressing capability gaps. This thesis takes

digital transformation as the context of study, specifically, in the design and development

of virtual servicescape. Therefore, a joint investigation on how firms develop distinctive

capabilities and unique resources for a successful transformation in virtual service

environment is critical to address abovementioned gaps in the literature. (Arnould, 2008;

Teece, 2019a; Vargo & Lusch, 2016; Wilden, Devinney & Dowling, 2016; Wilden et al.,

2017). Therefore, drawing on the analysis of the literature, the following research

questions are developed and presented below:

RQ 1: How do firms close capability gaps in the creation of virtual servicescape?

RQ 2: How sensing, seizing and transforming are being managed to achieve

organisational agility in the creation of virtual servicescape?

1.5 Methodology

This research adopted critical realism to capture as much of reality as possible, while

emphasising the discovery and verification of theories (Denzin & Lincoln, 2011). A

multiple case study methodology was used in this research to interpret contrasting and

similar patterns of dynamic capabilities within each case situation and cross case situations

in the context of digital transformation (Baxter & Jack, 2008). Since dynamic capability

is a complex multidimensional concept, the unit of analysis in this study is the local, highly

innovative, Chinese small and medium enterprises working in virtual servicescape. In such

case, interviews were conducted at individual level with the owner/founder of the eight

case firms as these people represent their organisational decisions rather than their

personal decisions (Eisenhardt & Martin, 2000; Glavas & Mathews, 2014; Kumar et al.,

2018; Schilke, 2014b; Teece, 1997). Adhering to the critical post-positivism paradigm,

replication logic and research question, a purposive sampling strategy is adopted in this

research. Eight cases across goods and services sector in virtual environment in China

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were selected. Based on the replication logic discussed above, the size and the sector of

case firms were halved into small and medium, goods-oriented and services-oriented

respectively. Semi-structured interview was used to perform primary data collection with

documents and archival records to complement one another in the construction of case

studies.

1.6 Contributions

The thesis makes three important theoretical contributions and three important

managerial contributions. The theoretical contributions are: (1) that omni-channel

management capability is the new type of capabilities needed within these

transformations; (2) that entrepreneurial capabilities (Zahra et al., 2011), absorptive

capabilities (Wang et al., 2007), and political influencing capabilities necessary for

successfully navigating digital challenges; (3) that organisations take a particular

technological path for service innovation through digital transformation towards

virtualisation. This study shows each of the path that firms have taken towards

virtualisation and highlights the progression of business model shifting from internal

platforms, to open/closed platform to leading platforms. In addition to the theoretical contributions, this research offers three managerial

contributions to guide organisations through deep uncertainty. The research findings

present a specific range of new capabilities firms should prioritise to develop facing

environmental uncertainty; namely, omni-channel management capabilities,

entrepreneurial capabilities, absorptive capabilities. These identified capabilities can be

used as a tool to inform high quality managerial strategic formulation to calibrate the

technical, market and business model capabilities’ distances of firms (Teece, Peteraf &

Leih, 2016). Secondly, the findings of this research suggest that IT infrastructure of a firm

is important for the pursuit of successful digital transformation, particularly in virtual

servicescape, as the development of abovementioned capabilities is fundamentally

underpinned by sophisticated technical infrastructure. Third, the findings suggest that

while platform complementor is a useful pathway for firms to enter in to virtual

servicescape, senior management of the firm should actively adjust its business model

towards open service platform business model, to enhance its organisational agility.

Managers should take note that the most change resilience business model is the one that

is built internally to respond to the unexpected.

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1.7 Thesis outline

This thesis has six chapters. A visual outline of the structure of the thesis is provided

in Figure 1.2. Chapter One introduces the background of the research by presenting the

evidence associated to the topic of focus, followed by identifying research problem and

research gaps to provide the rationale for conducting this study. A brief overview of

research design is included. Finally, Chapter One concludes with contributions and thesis

outline. Key terms and definitions are also presented in this chapter.

Chapter Two presents an in-depth literature review pertinent to the field of services

as well as strategic management. Since the core of both service-dominant logic and

dynamic capabilities are about value creation and capture, there is a need to apply S-D

logic to renew dynamic capabilities to develop insights that explain how competitive

advantage is sustained in digital environment (Akaka et al., 2015; Vargo et al., 2015;

Warner & Wager, 2019; Wilden et al., 2017). Furthermore, since Teece (2019) highlighted

that transformation is one of the phenomena in addressing capability gaps. This thesis

takes digital transformation as the context of study, specifically, the design and

development of virtual servicescape.

Chapter Three provides a detailed justification for the choice of qualitative research

strategy adopted to address the research questions identified in Chapter Two. The chapter

begins with a discussion of research paradigm upon which the research is adopted. The

body of this chapter addresses details regarding to the research design, including

methodological fit, data collection procedures, case selection criteria, interview and

coding process. To demonstrate the rigorous of this research design, four criteria including

credibility, transferability, dependability and confirmability are addressed. The final

section of Chapter Three presents the discussion on ethical considerations and limitations,

followed with concluding comments of the chapter.

Chapter Four presents an analytical review of the case data collected from eight

information rich firms located in China. The chapter begins by summarising the findings

from within-case analysis. The within-cases analysis in this research was carried on a firm-

level, examining each firm based on firm’s year of establishment, the number of

employees, the years of virtual activity, the firm’s customer orientation, the firm’s

descriptive type, the intensity of virtual servicescape creation, the intensity of digital

adoption within the firm and the firm’s open innovation activities. Followed by cross-case

analysis, this section identified key patterns and themes related to the two research

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questions identified in Chapter two. Thematic analysis and replication logic were

employed to guide the analysis of the transcripts (Boyatzis, 1998; Braun & Clarke, 2006;

Yin, 1994)

Chapter Five summarises the key findings of the research investigation by drawing

upon the findings discussed in Chapter Four. Both theoretical and managerial

contributions are presented. Specifically, the thesis contributes to three areas of literature,

digital platform dynamic capabilities and service platform: (1) that omni-channel

management capability is the new type of capability needed for building digital sensing,

digital seizing and digital transforming capabilities in drastic environment to sustain a

firm’s competitive advantage; (2) that entrepreneurial capability, absorptive capability and

political influencing capabilities are of paramount importance in helping firms to build a

digital platform-based ecosystem that breeds innovation; (3) that high performing virtual

firms strategically leverage on different service platform business models and platforms

in the creation of virtual servicescape. That is, the strategic choice of service platform

business model progresses from a platform complementary business model to an open

service platform business model. Further, the findings highlight that digital infrastructure

plays a critical role in digital transformation. Further, managerial guidance is provided,

along with limitations of this study as well as recommendations for future studies.

Figure 1.2 A visual outline of the structure of the thesis

6.0 Conclusion

5.0 Discussion

4.0 Findings

3.0 Research methodlogy and design

2.0 Literature Review

1.0 Introduction

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CHAPTER TWO: LITERATURE REVIEW

2.1 Introduction

Chapter Two provides an in-depth analysis into the field of dynamic capabilities,

situated within the context of virtual servicescape. Specifically, the literature review

begins with a discussion on S-D logic as a novel perspective in operationalising the

dynamic capabilities in digital transformation context, followed by a discussion of

servicescape and its role in both physical and virtual environment. Given the transitional

nature from physical to virtual environment, digital transformation is required to

understand the mechanism of dynamic capabilities. This is further followed by a critical

analysis of the resource-based and capability view of digital transformation. Next, a

summary of research gaps and questions drawn from the literature review are outlined.

Concluding comments for Chapter Two are also provided with a visual overview of

Chapter Two in Figure 2.1.

Figure 2.1 Diagrammatic overview of Chapter Two

2.2 Service-dominant logic (S-D Logic)

The importance of services has long been recognised in the literature. Levitt (1972)

stresses that every business is in services. Some firms offer more advanced service

components than others. In twentieth century, almost all advanced economies experienced

a systematic economic shift to services, which attracted immense attention to study service

(Ochel &Wegner, 2019; Witt & Gross, 2019). For instance, some scholars have extended

the traditional 4P’s in goods-based marketing to 7P’s in services marketing by adding

2.7 Chapter conclusion

2.6 Summary of research gaps and questions

2.5 Resources and capabilities view of virtual transformation

2.4 Virtual transformation

2.3 From servicescape to virtual servicescape

2.2 Service-dominant logic

2.1 Introduction

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people (Grönroos, 1996; Zeithaml & Bitner, 1996), process (Berry & Parasuraman, 1993;

Fisk et al., 1993) and physical evidence (Bitner, 1990, Booms & Bitner, 1981, Shostack,

1977). Some scholars have attempted to delineate services from goods by identifying the

characteristics of services, namely, intangibility, heterogeneity, inseparability and

perishability (Fisk et al., 1993; Lovelock, 1991; Rathmell, 1966; Zeithaml et al., 1985).

Specifically, intangibility implies that services are both mentally and physically intangible.

That is, consumers cannot touch, taste or smell a service. Heterogeneity refers to the

operational inputs and outputs tend to vary. In other words, the consistency of service

delivery is hard to maintain due to different factors, such as service environment, people

or time. Inseparability means that consumers may be part of the service production. For

instance, a hairdresser will not be able to perform haircut without the presence of the

customer. Perishability denotes as the output of service is perishable. That is, most

services are delivered in real time and cannot be inventoried.

Although these characteristics of services are widely accepted, some scholars argued

it is misleading and should be reconsidered (Beaven & Scotti, 1990; Gronroos, 2000;

Gummesson et al., 2010; Lovelock & Gummesson, 2004; Vargo & Lusch, 2004; Zeithaml

& Bitner 2000). Gronroos (2000) noted that Goods-Dominant logic (i.e., economic

exchange and value creation as primarily involving tangibles goods, with services as add-

on or a special type of a product) used to distinguish services from goods should be

questioned. The author advocated that service logic should become the mainstream

principle of marketing because products will become more similar as competition

increases. However, service being less visible and more labour dependent creates more

competitive advantage than products as it is more difficult to imitate by competitors (Oliva

& Kallenberg, 2003; Sasser et al., 1997). Further, some scholars criticise that the creation

of service characteristics just highlighted how inapplicable goods-centred logic is in

service economy (Berry & Parasuraman 1993; Lovelock, 2000; Vargo & Lusch, 2004;

Zeithaml & Bitner 2000). With approximately 80% of economy activity migrated to

service in many advanced economies, more and more of these activities cannot be

classified as goods (Schwab, 2016). For instance, G-D logic simply cannot facilitate the

exploration of the new phenomenon such as, the new collaborative economy, servitisation

shift or platform-based business model boom (Brodie, Lobler & Fehrer, 2019; Chase, 1981;

Cusumano, Kahl & Suarez, 2015; Fehrer, Woratschek, & Brodie, 2018; Kindstrom, 2010;

Mathieu, 2001; Sasser et al., 1997; Ulaga & Reinartz, 2011). Since the context of Goods-

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Dominant logic has changed, the models of understanding economic exchange must be

expanded (Vargo & Akaka, 2009; Vargo & Lusch, 2004).

Motivated by economic exchange, service-dominant logic was introduced as an

alternative to the traditional goods-dominant logic (Vargo & Lusch, 2004). Since its

introduction, the framework of S-D logic has evolved to five core axioms, which are

presented in Table 2.2. These axioms and foundational premises contrast with G-D logic,

where value creation is produced tangibly through exchange of operand resources (Lusch

& Vargo, 2006; Vargo & Lusch, 2008).

Table 2.2 Foundational Premises of Service-Dominant Logic Modified/New foundational premises

Axiom 1 Service is the fundamental basis of exchange

Axiom 2 Value is co-created by multiple actors, always including the beneficiary

Axiom 3 All social and economic actors are resource integrators

Axiom 4 Value is always uniquely and phenomenologically determined by the beneficiary

Axiom 5 Value cocreation is coordinated through actor-generated institutions and institutional arrangements.

Source: Vargo & Lusch (2008a); Vargo & Lusch (2016).

Axiom 1: Service as the fundamental basis of exchange

Central to this axiom is the idea that all economics are service economies. That is,

service is the basis of all exchange. In S-D logic, service is defined as the application of

specialised competence for the benefit of another (Vargo & Lusch, 2016). The definition

highlighted (1) the importance of operant resource (i.e., knowledge, skills) in the process

of value (co)creation; and (2) the nature of interaction between resources and resources in

the process of value (co)creation. The interpretation of axiom 1 exhibited traces of

dynamic capabilities, which is value creation through sensing, seizing and transforming

firm’s existing resources and capabilities base (Wilden et al., 2017). Contrasting to the

traditional view of technology as an operant resource (product), technology is

conceptualised as operant resources that comprised of practices and processes (Akaka &

Vargo, 2013; Spohrer & Maglio, 2010). This argument implied that in order to facilitate

the delivery of value (fulfil a need), technology has to be operated by operant resources

for the benefit of other operant resources (Vargo, Wieland & Akaka, 2015). Take a website

for example, when a technology is developed such as websites, actors who operate the

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website need to acquire highly specialised website coding knowledge and skill, but others

(website browsers) who benefit from the service a website provides (e.g., shopping on the

website) do not. The conceptual fit suggests that a deeper understanding of the mechanism

of dynamic capabilities in virtual servicescape can be developed if the perspective of S-D

logic is applied.

Axiom 2: Value is co-created by multiple actors, always including the beneficiary

Central to axiom 2 is the interactional nature in the process of value creation (Vargo

& Lusch, 2008). In this view, the process of value creation is situated in a complex and

interactive service context, composed of multiple actors and the institutional arrangements

(Akaka et al., 2013; Akaka & Vargo, 2015; Chandler & Vargo, 2011). Institutions are

defined as “humanly devised rules, norms and meanings that enable and constrain human

action” (Scott, 2001; Vargo et al., 2015). S-D logic suggested that in a dynamic service

context, value is not pre-determined by service providers but rather by the beneficiary of

a service (Alexander, Jaakkola & Hollebeek, 2018; Helkkula et al., 2012; Hollebeek,

Srivastava & Chen, 2019). That is, the beneficiary’s institution frames the service context,

shapes value and influences the service experience (Helkkula et al., 2012; Vargo et al.,

2017). In such service context, if value is disconfirmed by the beneficiary’ institutional

arrangements, exchange-related interactions will be declined (Akaka et al., 2015;

Helkkula et al., 2012; Ramaswamy, 2011). In contrast, if the value resonates with the

beneficiary’s lifeworld, direct and indirect interaction among all actors is initialised

(Akaka et al., 2015). The continual reconfiguration of the service context based upon

institutions is to ensure that service experience is always uniquely co-created (Akaka et

al., 2015; Wilden et al., 2017). The form (and reform) of service context over time

resembles the characteristic of dynamic capability, and thus a S-D logic infused

perspective to study virtual firms in virtual servicecaspe allows for a richer understanding

of dynamic capabilities.

Axiom 3: All social and economic actors are resource integrators

Contrasting to the traditional producer-consumer divide in G-D logic, S-D logic

recognises that the value is a non-linear flow. Instead, it emphasises the role of all social

and economic actors in the value co-creation process through resource integration and

service provision (Vargo & Lusch, 2008, 2011). It further classified resources into three

groups (1) private resources gained through self, friends and family; (2) market resources

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gained through economic exchange or barter; and (3) public resources gained through

communal and governmental sources (Vargo & Lusch, 2015). In this sense, all value co-

creation is executed by indefinite potential combinations of resource integrators. The

interactional nature of service entities informed by systems thinking (Alderson & Shapiro

1957) and strategic thinking about markets (Barney, 1991; Teece, 2007) lay a solid

foundation towards a network orientated dynamic service system of value co-creation,

which conceptualised as actor-to-actor network (A2A) (Vargo & Lusch, 2011).

Axiom 4: Value is always uniquely and phenomenologically determined by the beneficiary

The essential intent of the fourth axiom is to highlight that value is experiential

(Vargo & Lusch, 2016). Conventional service researches highlighted that service

encounter and servicecsape are two critical determinants of service satisfaction in all

service experience (Akaka et al., 2015). However, the absence of technology in the

development of service encounter and servicecsape created barriers in understanding

service experience and satisfaction in the new ‘technology-infused’ service context

(Bitner et al., 2000; Voorhees et al., 2017). Traditionally, hedonic value is arguably at the

heart of service experience, neglecting the role of institutions (Jaakkola et al., 2015; Park

& Ha, 2016). Contrasting to the hedonic service experience, Vargo and Lusch (2008)

argued that all service experiences, co-created through interactions of multiple

stakeholders, are phenomenological experience. In other words, service experience,

dependent upon socio-historic context (e.g. institutional arrangements), is unique to every

individual and every scenario of value co-creation (Akaka et al., 2015; Sandstrom et al.,

2008). Hollebeek, Srivastava and Chen (2019) claimed that perceived value increases

when personalised activities are offered to the beneficiary of a service. In virtual

servicescape, firms can promote personalised advertisements autonomously and

accurately based on the visitor’s digital profile. That is, virtual servicescape can be

regarded as a large-scale value network involving multiple institutionalised actors and

institutional arrangements.

Axiom 5: Value cocreation is coordinated through actor-generated institutions and

institutional arrangements.

The latest axiom explicitly highlighted the foundational role of institutions play in

mutual service provision (Vargo & Lusch, 2011, 2016). Unlike the traditional customer-

firm exchange relations, S-D logic recognises that actors’ institutions guide the behaviour

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and thinking as to what is considered to be a valuable resource in a particular place and

time, and how such resources can be accessed, adapted and integrated in a specific context

(Vargo & Lusch, 2014; 2016). Thus, S-D logic is a strategic business logic that places the

beneficiary of service, usually customer, as the source of competitive advantage (Karpen

et al., 2012). This presents similarities to the nature of dynamic capabilities to adapt to

consumer needs in a changing environment (Teece, 2014, 2017). Therefore, a S-D logic-

informed perspective is deemed to be appropriate for studying dynamic capabilities

(Ojasalo et al., 2015).

2.3 Servicescape

2.3.1 Physical Servicescape

The interactive nature of service has motivated a stream of researches studying

service encounter (Kotler, 1973; Russel & Ward, 1982; Shostack, 1977). The exploration

of service encounter has highlighted the importance of servicescape in shaping customer

behaviours, service quality and service perception. However, most researchers primarily

focus on individual dimension such as interior design, external architectural features and

auditory (Kotler, 1973; Russel & Ward, 1982; Shostack, 1977). Importantly, Booms and

Bitner (1981) proposed an umbrella term “servicescape” to refer to holistic physical

environment. Built on environmental psychology of Mehrabian and Russell’s approach or

avoidance model, Bitner (1992) named three constituents (1) spatial layout and

functionality, (2) ambient conditions, and (3) sign, symbols and artefacts, that influence

customers behaviour, service expectation, and satisfaction.

Spatial layout and functionality refer to the arrangement of floor plan and furniture

in facilitation of the service delivery. Both elements affect the experience and performance

of service in which satisfaction or dissatisfaction is determined (Fisk et al., 2011). For

example, lack of car parking spaces or uncomfortable seat on an overnight flight can

impact on consumers’ service experience and, consequently the business performance.

Ambient conditions refer to the five environmental characteristics pertaining to human

senses such as scent, noise, music, light and temperature. For example, using scent in the

entrance of store to solicit emotional (intriguing interest) and behavioural response

(walking into the store) from potential customer (Bitner, 1992). Signs, symbols and

artefacts are used in service environment to communicate message and convey image. For

example, no-smoking sign in a library is used to manage visitor behaviours.

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Although Bitner extended the context of servicescape, the literature has since

extended beyond the discussion on staged environment. Studies done by Tombs and

McColl-Kennedy (2003, 2010) postulated the idea of social-servicescape that social

density, referring to the crowd of people in a physical environment, and indirect

interaction among customers contribute to the evaluation of customer service experience.

Further, another study done by Johnston (2012) introduced three additional social

dimensions that influencing customer service experience and decision-making behaviour,

namely (1) nurturing and supporting non-commercial relationships; (2) the need for social

connection; and (3) identifying with place. These findings suggested that the evolvement

of servicescape is no longer an environment staged by firms, rather, a coordinated effort

through direct and indirect interaction of multiple actors in service co-creation (Akaka et

al., 2013; Nilsson & Ballantyne, 2014, Vargo et al., 2008).

2.3.2 Virtual Servicescape

The nature of service and how service is delivered have been fundamentally changed

due to technological development (Bitner et al., 2010). Thus, the role and the scope of

technological influences should be reviewed in the study of service (Akaka et al., 2014;

Nilsson & Ballantyne, 2014; Rust et al., 2004). In S-D logic, technologies are viewed as

an operant resource that are drawn upon to serve a human purpose, co-create value and

facilitate service innovation (Akaka & Vargo, 2014; Arthur, 2009; Spohrer & Maglio

2010). Based on this emphasis, Akaka and Vargo (2015) specified that the internet should

be viewed as operant resources, as the internet opens indefinite possibilities of interactions,

across cultures, indicating a possible behavioural change in the perceived environment

(Ballantyne & Nilsson, 2017). They revealed three trends transforming the characteristics

of servicescape in virtual environment (Ballantyne & Nilsson, 2017). First, the role of the

internet in virtual servicecape transforms the dyadic relationship between firms and

customers in physical servicecsape to an interconnected web involving a network of wider

range of actors co-creating value through iterative process of configurations (Ballantyne

& Nilsson, 2017). For example, multiple actors such as influencers, suppliers, sellers,

website designer, buyers and other potential actors are required in order to fulfil a

customer’s online order. Second, communication is an ongoing process that simulating

the experience of being physically present in a virtually created environment (Bolton 2011;

Ballantyne & Nilsson, 2017). For example, 24/7 available virtual customer service to

manage customer engagement in virtual reality to stimulate brand interaction and nurture

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service relations in physical world (Bolton 2011). Further, the role of actors in virtual

servicescape, mostly beneficiary of a service, is increasingly active in the process of value

co-creation, which contrasts to the legacy understanding of participants’ roles, as being

scripted, staged and controlled (Akaka et al., 2015; Baumöl et al. 2016; Sawhney et al.

2005). The digital changes in virtual environment influence the operations of a business

in the form of business model, structure, value and process (Hess et al., 2016). In adaption

to the technological environment, some firms can translate their competitive advantage in

servicescape by responding to digital challenges in an efficient and effective manner,

while others struggle. This implies that fast-moving hypercompetitive virtual servicescape

offers a richer context to study dynamic capabilities.

China virtual servicescape, with its vastness and vibrancy, is believed to offer rich

and thick insights for the contribution to the understanding of digital transformation and

dynamic capabilities (Li et al., 2018; Waldmeir & Anderlini, 2015; Williamson, 2016).

With one billion internet users and burgeoning middle-class consumers, China is currently

the largest online market in the world (Ferreira & Ferreira, 2018; McKinsey, 2019). The

Chinese digital retail market, accelerated by sophisticated internet infrastructure and rising

mobile users, has matured into a “new retail” phase (Deloitte, 2018). The new “retail

normal” provides seamless consumer service experience by breaking the “invisible wall”

between online and offline (Wasserman, 2015). According to Deloitte (2018), online sales

in China is 19 times higher than the world average, indicating the efficiency of the current

digital market. Further, online retail transaction value in China is forecasted to reach

US$1.5 trillion in 2019, at a compound annual growth rate of 9%, almost three times

higher than the retail sales of the US market (McKinsey, 2019). It is recorded that gross

merchandise value hit US$38.3 billion on the world’s largest 24-hour online shopping

event, Chinese Single’s Day (CNBC, 2019). Sheer scale of virtual servicescape has made

China a strategically significant market for investors.

PwC (2018) highlighted three distinctive characteristics of digital retail environment

in China. Firstly, the new retail normal where retailers utilise underlying technologies

such as artificial intelligence, and cloud computing and internet of things (IoT), to

delineate the boundary between online and offline shopping channels (PwC, 2018).

Secondly, content driven meaning that virtual selling is no longer transactional-based but

experiential-based (PwC, 2018). For example, Louis Vuitton hosted its debut live

streaming on one of the popular Chinese virtual shopping sites by a key opinion leader.

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The livestream presented highly informative and entertaining content including celebrity

interviews and styling sessions, which attracted 130,000 followers and exceeded their

sales target within one hour of live streaming. Finally, China’s sophisticated digital

payment system, rising middle class consumers, regional economic growth and

technological progress, have become the major forces, spurring virtual business expansion

into new growth avenues of the food, luxury and wellness industries (PwC, 2018). These

industries in first tier cities, are leveraging on current internet infrastructure and digitalised

supply chain, to innovate their service offering. Fully digitalised supermarkets use facial

recognition for payment; wellness organisations use virtual reality equipment to simulate

physical user experience.

While the new retail normal provides business the opportunity to connect and

interact seamlessly with consumers across multiple channels without interruption, the

digital market is filled with unknown challenges, intense competition and frequent

innovations (McKinsey, 2019; PwC, 2016). Early on internet-related innovation

investment in China had skyrocketed to US$20 billion in 2015 and the same year, total

deal volume of venture capital investment increased to 1,726 from 509 companies (PwC,

2016). The country currently holds the largest collections of “unicorn” companies, valued

at US$1 billion or potentially higher (PwC, 2016). The rapid increase in start-up and

venture capital investment has created a “high-velocity” digital market in which changes

are rapid, disruptive and less predictable (Eisenhardt & Martin, 2000). According to PwC

(2016), the speed of replication of a new digital feature, design or service from one

Chinese company to another is often achieved and enhanced within weeks, not months.

Along with its political factors and unforeseen digital market practices, Chinese virtual

landscape is perceived to be challenging, not only for multi-national companies but also

small and medium enterprises (Li et al., 2018; Waldmeir & Anderlini, 2015; Williamson,

2016).

To thrive in an ambiguous digital market environment, firms must maintain ongoing

evolutionary fitness (through resources orchestration) to be able to adapt to continuous

changes on consumer preferences, technological disruptions and market movements

(Teece, 2007, 2014; Teece, Pisano, & Shuen, 1997). Firms need to maintain balance

between “the demand side” (what consumers want) and “the supply side” (build

capabilities that do not currently exist inside the firm to meet the demand). In the context

of virtual servicescape in China, the demand side has changed drastically due to the

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accumulation of wealth and technological developments (Li & Liu, 2014; Watering,

Mikalef & Pateli, 2017). Quantity can no longer satisfy the craving of online consumers

in China, rather, an entertaining and personalised online shopping experience that

complements a variety of premium products and fine services (Deloitte, 2018; McKinsey,

2019; PwC, 2018). Such upgrade of consumption from the demand side has a profound

impact on the supply side (firms’ value proposition across multiple channels); meaning

that strong dynamic capabilities must be exercised to secure a sustainable competitive

advantage in digital environment (Davis & Dickson, 2014; Williamson & Yin, 2011). It

appears that dynamic capabilities literature has only paid limited attention to virtual

servicescape. This study explores the processes of resources reconfiguration of Chinese

firms, as they pursue competitive advantage in the creation of virtual servicescape (digital

transformation), to identify the specific types of dynamic capabilities that firms need to

develop further to secure successful transformation.

2.4 Digital transformation

The move to virtual servicescape is a company-wide digital transformation that

leads to revision of current business models (Pagani & Pardo, 2017). Teece (2010)

highlighted that a firm’s competitive advantage resides in its business model, which often

reflects how value is created, delivered and ultimately converted to profit (Gölzer &

Fritzsche, 2017). Pagani and Pardo (2017) claimed that during digital transformation,

organisations tend to rely on digital technologies to modify existing business routines,

resources and capabilities to generate value and strategic renewal. Thus, digital

transformation should be deemed as a strategic imperative for firms to sustain competitive

advantage in hypercompetitive environment (Singh & Hess, 2017; Warner & Wager,

2019). However, a recent scoping review on digital transformation suggested that

scholarly understanding of digital transformation remains surprisingly limited (Verhoef et

al, 2019). Given the strategic importance of digital transformation, a deep understanding

of digital transformation through the lens of dynamic capability is necessary (Ailawadi &

Farris, 2017; Lemon & Verhoef, 2016; Parviainen et al., 2017; Verhoef et al., 2019).

Digital transformation is defined as “a change in how a firm employs digital

technologies, to develop a new digital business model that helps to create and appropriate

more value for the firm” (Verhoef et al., 2019). There are three phases of digital

transformation: digitisation, digitalisation and digital transformation (Verhoef et al., 2019).

These transformations can be placed on a continuum that ranges from low-intensity

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transformation (e.g. analogue information) to high-intensity transformation (e.g. a

platform-based business model) (Loebbecke & Picot, 2015; Verhoef et al., 2019).

Digitalisation is located somewhere in the middle (Pagani & Pardo, 2017; Verhoef et al.,

2019). The goal of digitisation is to achieve timesaving and cost-efficiency for the

business (Vendrell-Herrero et al., 2017). Often, technological related resources are being

deployed to improve operational efficiency of the firm (Katkalo et al., 2010). For instance,

the introduction of self-service technology by airlines and banks (e.g. online check-in,

internet-banking) can be considered digitisation. In contrast, digital transformation

requires deep use of technologies and IT to fundamentally transform an existing business

model and logic through building a system which enables interactions among multiple

actors in responding to changes in the digital environment (Loebbecke & Picot, 2015, Matt

et al., 2015, Parviainen et al., 2017; Verhoef et al., 2019).

Teece (2014) argued that to succeed in digital context, firms must build a platform-

powered ecosystem that combines multiple business models for value creation and capture.

To achieve this, firms need to go through iterative digital transformation, designing,

building and refining their business model (Teece, 2014). The process of designing a

competitively sustainable business model (suitable for digital context) requires two things:

dynamic capabilities and complementary assets (Teece, 2018). During digital

transformation, firms need to make decisions such as which capabilities need to be

developed, which resources need to be reconfigured, which products to develop or which

new market to target. These decisions made by firms establish organisational path for

future, resulting in interfirm differences. Such differences impact the way firms create and

capture value in future. Because of the importance of decision making, dynamic

capabilities must be exhibited by senior management in sensing business opportunities,

identifying distances between current position to target position, seizing opportunities by

reconfiguring existing capabilities and resources, and transforming organisations by

developing new capabilities or resources (Teece, 2018).

2.4.1 Capability distance of digital transformation

The identification of missing capabilities is triggered by market sensing, termed as

‘capability distance’ (Teece, 2019). When transforming, a firm’s capability distance can

be calculated on three dimensions: technical distance, market distance and business model

distance (Teece, 2019). Technical distance refers to any technological challenges that

firms might face (Teece, 2019). Since the very nature of digital transformation is to

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incorporate technologies in building business models, the identification of technical

distance between firms is critical. For example, when designing a new application, some

firms may suffer from lack of coding and programming capability. If technical distance is

incremental, firms can leverage on existing resources and capabilities to address the

challenge. However, if the technical distance is radical, depending on the urgency of the

situation, firms can either outsource the technical capability or build their own technical

capability to shorten the distance. Market distance refers to the distance between the new

target market and the existing target market (Teece, 2019). Demographical, geographical

or cultural changes from one target market to another market, generally lead to market

challenges as the acceptance of value proposition is facilitated by institutional

arrangements (Lusch & Vargo, 2014; Vargo & Lusch, 2011). Another critical dimension

of capability distance is business model distance (Teece, 2019). This happens when the

existing revenue mechanism does not match or adapt to new technology. General-purpose

technologies (GPT) or enablement of technology firms introduce lead to the need to

coordinate and develop a new business model. It is important to note that firms with

extensive distance on each dimension, face greater challenges during digital

transformation than the ones with shorter capability distance.

Once capability distances are identified, firms need to address these challenges

effectively and efficiently. Corresponding to technical gap is the need to close technology

gaps (Teece, 2019). Often the more radical the technology firm introduces, the greater the

gap. Common ways of closing technology gaps include open innovation, licensing, hiring

new talent or R&D (Chesbrough, 2003). In order to close market gaps, a firms knowledge

of a new market segment is critically important. In the context of digital transformation, a

deep understanding of consumer data and market data may help the firm to provide more

accurate recommendations (value proposition) to encourage value co-creation (Vargo &

Lusch, 2016). In terms of closing business model gaps, technologies and the ways they

impact the capture of value in the digital environment is fundamentally different (Shuen,

Feiler, & Teece, 2014). To ensure potential future streams of income, firms must anew

their business model with appropriate level of technology adoption to derive full value

from innovation (Teece, 2018). Although Teece (2018, 2019a) provided the importance

of dynamic capabilities in calibrating these capability distances, there is little

understanding regarding how dynamic capabilities may manage all three gaps at once

(Teece, 2019a).

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2.5 Resource and capability view of digital transformation

2.5.1 Resource-based view

Penrose’s seminal work “The Theory of the Growth of the Firm”, is considered one

of the most influential firm growth theories in the field of strategic management. Penrose’s

theory has contributed to the development of resource-based view of firms (Wernerfelt,

1984) and it is now the building block for dynamic capability (Penrose, 1959; Pitelis, 2007;

Teece, 2007). Penrose (1959) argued that the optimal growth of the firm involves

processes of combing excess and slack resources to create new product or activity

opportunities at near zero marginal cost. The idea of opportunity identification through

dynamic interaction between internal management and the external environment is the

essence to enable firm’s success (Penrose, 1959).

Built on Penrose (1959) insights, resource-based view has evolved by emphasising

the strategic importance of firm level resources (Barney, 1991; Wernerfelt, 1984). While

Wernerfelt (1984) defined resources as any tangible and intangible assets, Barney (1991,

p.101; 2002, p.155) defined resources as “all assets such as capabilities, organisational

processes knowledge that controlled by a firm that enable the firm to conceive of and

implement strategies that improve its efficiency and effectiveness.” Although both Barney

(1991) and Wernerfelt (1984) hold define resources differently, their argument on value-

creating resources showed significant similarities. That is, a firm’s source of competitive

advantage is linked to its internal resources profile, that shows traits of valuable, rare,

inimitable and non-substitutable (Barney, 1986; Peteraf, 1993; Wernerfelt, 1984).

However, along with the development of resources-based view, it has also been

criticised. Firstly, the resource-based view leaves firms vulnerable in a rapidly changing

environment, as the view is static, excluding the consideration of dynamic environment

(Fiol, 2001). Fiol (2001) claimed that no competitive advantage can last forever, and thus,

a firm must continuously adapt its resources and capabilities to sustain its competitive

advantage. Secondly, the inclusive definition of resources does not distinguish capabilities

from resources (Kraaijenbrink et al., 2009; Schreyögg & Kliesch-Eberl, 2007). The

ownership of valuable resources will eventually lose its value and become harmful to the

development of the firm. Therefore, it is the superior capabilities of a firm which enables

selection to integrate and re-combine resources to sustain its competitive advantage

(Eisenhardt & Martin, 2000; Helfat & Peteraf, 2003; Teece et al., 1997; Teece, 2007).

Such emphasis on resources and lack of acknowledgment of capabilities have highlighted

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the limitations of the resources-based view, suggesting the need for a new coherent

framework that can capture the essence of competitive advantage in a rapidly changing

context (Kraaijenbrink et al., 2009; Teece, 2007; Teece et al., 1997).

2.5.2 Dynamic capability view of the firm

While tangible and intangible resources such as knowledge, skills and machineries

are important, the manner in which these resources are orchestrated is critical to sustain

competitive advantage (Teece, 2019). The ability of resource orchestration is identified as

dynamic capabilities. The author explained “dynamic” as the capacity of timely

responsiveness of the firm and “capabilities”, as the ability of senior management in

adapting and reconfiguring existing competences to meet market needs (Teece et al.,

1997). The definition has highlighted three characteristics of dynamic capabilities that are

particularly relevant for firms going through digital transformation. Firstly, dynamic

capabilities framework emphasises the importance of capability adaption to the external

environment and in deep uncertainty (Teece, 2019). The processes of digital

transformation involve high uncertain events, which often requires a firm to perform rapid

decision making, to meet environmental changes (Harvard Business Review, 2019). That

means ownership of dynamic capabilities during digital transformation is important, as its

inherent flexibility hedges firms from risks. Secondly, the framework highlighted that

dynamic capabilities are often developed in-house and rested in senior management

(Teece, 2019). That is, dynamic capabilities cannot be purchased or borrowed. In order to

“make” dynamic capabilities, firms, in particular, senior management, need to perform a

series of agile decision making on what scarce resources to renew; what capabilities to

build; when to enter the market; and how to defend competitors to sustain its competitive

advantage (Helfat et al., 2007). Further, the ability to make good decision are enabled by

learning and knowledge (Chesbrough 2006; De Clercq, et al., 2012; Kogut & Zander,

1996; Sok & O’Cass, 2011; Teece et al., 1997; 2019). Despite a body of literature

highlighting the importance of learning in governing organisational success, how firms

learn and how knowledge is transformed, transitioning from physical to virtual

servicescape remains scantly researched (Ballantyne & Nilsson, 2017; Verhoef et al., 2019;

Warner & Wager, 2019). Finally, dynamic capabilities are embedded in organisational

routines and processes, meaning that manipulation of resources and capabilities is a

development of organisational capabilities (Deken et al., 2016; Feldman et al., 2016;

Teece et al., 1997). Since dynamic capabilities are innovative and entrepreneurial by

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nature (Camisón & Villar-López, 2014; den Hertog et al., 2010), it should be appropriately

differentiated from capabilities which maintain the status quo of the firm, also known as

ordinary capabilities (Helfat & Winter 2011; Teece, 2007; 2014; Winter, 2003). In a

virtual servicescape context, a firm must create and develop digital resources and

capability to achieve evolutionary fitness. However, how firms leverage on dynamic

capabilities to govern operational capabilities remains underdeveloped (Matt, Hess &

Benlian, 2015).

Ordinary and dynamic capabilities

Winter (2003) claimed that ordinary capabilities not only contribute to a firm’s

competitive advantage but can also hamper it. At a zero-level, ordinary capabilities are

“make a living” capabilities, supporting the productivity level of the firm through a set of

static activities, such as administration, accounting, and finance (Teece, 2007; Winter,

2003). In Winter’s work (2003), he identified that zero-level activities (employing

operational capabilities) are often locally defined. Examples of zero-level activities are

local R&D activities without alliances or strategic acquisition, as it does not alter the way

firms make their living (Capron & Mitchell, 2004; Helfat et al., 2007; Zollo & Singh,

2004). A study conducted by Laaksonen and Peltoniemi (2018) reviewed 141 dynamic

capabilities studies, highlighting R&D expenditure (without clarification) was heavily

used as a measurement for demonstrating a firm’s dynamic capabilities by the majority of

the studies. This appears to be against the idea from a group of pioneer researchers on

dynamic capabilities including Eisenhardt and Martin (2000), Teece et al (1997), and

Winter (2003). That is, dynamic capabilities are unique and cannot be measured through

R&D expenditure nor financial statements (Laaksonen & Peltoniemi, 2018). This study

views dynamic capabilities in line with Eisenhardt and Martin (2000), Teece et al (1997),

and Winter (2003). Transforming from the physical environment to virtual servicescape

is entering a new market which requires internal routine and skill development to build on

existing organisational assets to trigger dynamic capabilities (Bernroider et al., 2014;

Doving & Gooderham, 2008; Groysberg & Lee, 2009; King & Tucci, 2002). Further,

ordinary capabilities, static by nature, reveal vulnerability in deep uncertainty and

competitive environments (Cepeda & Vera, 2007; Helfat & Peteraf, 2003). That is, firms

which blindly pursuit the increase of efficiency of ordinary capabilities, often struggle in

innovating and sustaining competitive advantage (Junni et al., 2013; O’Reilly & Tushman,

2013). Therefore, to achieve success in digital transformation, it is assumed that firms are

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likely to employ dynamic capabilities to alter its current position (how it makes its living)

to a new position, by transforming its operational capabilities.

While operational capabilities are useful to achieve technical efficiency, it remains

a low strategic value to sustain a firm’s competitive advantage (Helfat & Winter, 2011;

Teece, 2019a). In contrast, dynamic capabilities support high performance by responding

to business and technological opportunities through realigning organisational assets

(Pisano & Teece, 2007; Teece, 2019; Teece & Leih, 2016). The possession of dynamic

capabilities will help the firm to achieve digital transformation by sensing opportunities

in the market, seizing the identified opportunities and transforming existing business

resources to meet environmental changes (Teece, 2007).

Since the essence of a business model is a series of processes by which value is

created, captured and delivered to customers, it should reflect an organisation’s value

proposition and their strategy for execution (Rumelt, 2011; Teece, 2010a; Velu, 2017).

The new business environment comprising of new means of communications and

technologies, has amplified the change in market and consumer needs and wants (Teece,

2010b). Thus, the business model should be re-evaluated as to how should businesses

deliver value to customers and how they can capture value from new service or products

(Zott, Amit & Massa, 2011). It is argued that the growth of the internet, has fundamentally

changed how businesses deliver value in virtual servicescape (Teece, 2010a; Velu, 2017).

Velu (2017) noted digital transformation is essentially a business model evolution by

which firms leveraging on the internet network to yield accurate value proposition, are

enticing to its networks to pay and are therefore profiting from it. Such change in business

logic is likely to lead to a review of a current business model, with an idea toward

refinement or replacement (Teece, 2000a). In Velu’s study (2017), three micro-

foundations are identified to facilitate the processes of value creation and capture,

including (1) balanced redundancy, (2) requisite variety, and (3) cognitive discretion. It is

argued these capabilities are a key micro-foundations of dynamic capabilities, to select

and design a business model, as it provides capabilities that can be harnessed to create

unique organisational assets (Di Stefano, Peteraf, & Verona, 2010; Schilke et al., 2018;

Teece 2010a; Velu, 2017). The micro-foundations of dynamic capabilities can be broken

down into three clusters: (1) sensing market opportunities and threats; (2) seizing the

identified opportunities or defencing threats via new product or processes or services; (3)

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transforming existing tangible and intangible assets to achieve evolutionary fit (Teece,

2007; 2019a).

Sensing capabilities

Sensing capabilities comprise a series of activities involving scanning, creating,

learning and interpreting changes in an environment (Teece, 2007). In general,

opportunity sensing can occur in two ways (1) differential access to information (Kirzner,

1973) and (2) access to new information and knowledge (Schumpeter, 1934). While

Kirzner’s view focuses on leveraging on disequilibrium, Schumpeter stresses destroying

the equilibrium of the economy. Both views are identified to be relevant in today’s

economy. A study performed by Alshanty and Emeagwali (2019) suggested that sensing

capabilities have positive impact on organisational knowledge creation and innovation.

That is, sensing capabilities allow firms to continuously accumulate knowledge in terms

of consumer needs, taste changes, competitor movements and technological developments,

which ultimately can be leveraged as insights for new service or product development

(Teece, 2007). Further, sensing is an ongoing process of managing organisational

information to form strategic decisions, which requires a combined effort at both

organisation level and individual level (Helfat & Raubitschek, 2018). At organisational

level, sensing routines should be implemented to perform frequent evaluation of the

external environment (Helfat & Eisenhardt, 2004). A study performed by Monteiro and

Birkinshaw (2017) suggested that high performing firms develop effective efforts in

conducting sensing activities, such as establishing a scouting network and external

partnerships. Individual actors could also contribute to early recognition of opportunities

through performing meaningful data interpretation (Helfat & Eisenhardt, 2004; Teece,

2007). While the literature links a firm’s superior performance with sensing capabilities,

the literature has yet to fully address how sensing capabilities is built to adapt to virtual

servicescape context (Nambisan et al., 2017; Warner & Wager, 2019). Therefore, there is

a need to understand as to how sensing capabilities unfold for firms going through digital

transformation (Glavas, et al., 2017).

Seizing capabilities

Once opportunities or threats are sensed, it must be addressed by making strategic

choices in conjunction with appropriate financial investments (Teece, 2007, 2019).

Strategic decision making is at the heart of seizing, determining the path of the

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organisation (Schomaker & Day, 2019). It often involves senior management

orchestration of existing resources and capabilities to decide whether new products or

services need to be developed to address the new market segment; whether new

technological competence and complementary assets need to be improved; or whether the

timing of introducing new products is right. The capacity of making quality decisions with

respect to a firm’s existing position, influence the potential growth of the firm (Teece,

2007). For example, an empirical study conducted by Roberts and Grover (2012)

highlighted that seizing capability (the speed and the ability to respoond to customer

demands), showed significant relation to a firm’s sales growth and profitability in

comparison to rivals. However, to perform quality and unbiased judgment is difficult as

delusion is ubiquitous in every business environment. For example, a study conducted by

Li et al. (2019) highlighted multiple challenges faced by SMEs in China, in the pursuit of

digital transformation in cross-border trading including insufficient resources, limited

capabilities, weak cross-cultural awareness and low-level foreign language proficiency.

Such challenges make the transformation more difficult, as cognitive inertia is a persistent

issue faced by firms in digital transformation (Davidow & Malone, 1992; Massner &

Vosgerau, 2010). Therefore, management’s capability to reinvent business processes that

minimise decision errors and bias, is critical for seizing. Another challenge identified

within seizing process is the selection and creation of a business model that allows an

organisation to respond to customer needs, influence market outcomes and capture value

in a timely fashion (Nelson, 2005; Teece, 2007). Seizing capability is even more important

in the digital environment, as it allows the firm to create and capture value through a

dynamic process of asset orchestration (Helfat et al., 2007; Tecce, 2018). Helfat and

Raubitschek (2018) argued that integrative capabilities underpin the success of building

seizing capabilities, as it “encourages effective communication and coordination of

activities, resources and capabilities, investments and objectives within firms” (Helfat &

Campo-Rembado, 2016).

Transforming

Organisations benefit financially from sensing and seizing capabilities. The

financial growth of the firm often leads to changes in resources and assets, meaning that

the firm will continuously expand in a path-dependent way. Teece (2007) highlighted that

success breeds low-level routines, as organisations always seek to optimise productivity

for profit. O’Reilly and Tushman (2013) noted that such routines impede the

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innovativeness of the firm, meaning that the firm’s ability to innovate and adapt to the

external environment, may be sacrificed at the cost of pursuing efficiency. Therefore, to

ensure the ongoing evolutionary fitness of the firm, transforming capability (the way a

firm’s resources and assets that are reconfigured to match new market needs) is critical

(Teece, 2007, 2014). Argote and Ren (2012) highlighted the importance of senior

management in building a firm’s transforming capabilities. In the context of digital

transformation, depending on the current digital position of the firm, transforming

capabilities are required, so that firms can either update their existing business model or

implement a new business model to improve business performance in the digital

environment (Teece & Linden, 2017). Further, Warner and Wager (2019) proposed that

strengthening a firm’s transforming capability also increases the speed of collaborative

behaviour, which ultimately contributes to sustain the competitiveness of the firm in

virtual servicescape (Warner & Wager, 2019). Since there is limited understanding on

how SMEs develop dynamic capabilities in the creation of virtual servicescape, this

research explores the building of specific dynamic capabilities that are needed for firms

to achieve transient competitive advantage.

2.6 Research gaps and questions

Key to maintaining superior performance is the possession of dynamic capabilities,

as it allows the firm to continuously be sensing, seizing opportunity and reconfiguring

existing competence and resources to address new opportunities (Ojasalo et al., 2015;

Teece, 2007). In order to survive and thrive in a technology-driven environment, some

firms pursue digital transformation, that is, transition from a traditional strategic

orientation to a service dominant orientation. However, the success rate of virtual

transformation recorded a new low, at 21 percent (McKinsey, 2018). This leads to the

thinking as to why some companies had achieved success, and what they have done

differently. This, however, remains scarcely explored in the literature of both strategic

marketing and service science. To understand digital transformation in a virtual service

context, S-D logic points toward the need to consider multiple actors directly and

indirectly co-creating value in the process of service exchange (Akaka et al., 2015;

Hollebeek et al., 2019). Dynamic capabilities are known as an aggregate multi-

dimensional construct that shares a significant conceptual fit with S-D logic on

interactivity with or between resources. There is a longstanding call to integrate dynamic

capabilities with S-D logic for more robust development. Therefore, a joint investigation

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on how firms develop distinctive capabilities and unique resources to guarantee a

successful transformation in virtual service environment is necessary (Arnould, 2008;

Dowling, 2016; Wilden et al., 2017; Teece, 2019; Vargo & Lusch, 2016). Drawing on the

analysis of the literature, the following research questions are developed:

RQ 1: How do firms close capability gaps in the creation of virtual servicescape?

RQ 2: How sensing, seizing and transforming are being managed to achieve

organisational agility in the creation of virtual servicescape?

2.7 Conclusion

Chapter two presented a synthesis of the literature pertaining to digital

transformation, resources-based view of the firm and S-D logic. Chapter two opened with

a discussion of linking service-dominant logical (five axioms) and dynamic capabilities.

Based on S-D logic, this chapter discussed the role of internet and servicescape. The

chapter has also addressed the literature related to digital transformation. Three

transformation distances were outlined, namely: technical distance, market distance and

business model distance. The evaluation of the literature has identified two key gaps

worthy for further research. Therefore, two research questions were developed to address

these gaps.

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CHAPTER THREE: RESEARCH METHODOLOGY & DESIGN

3.1 Introduction Chapter three provides a detailed discussion on proposed qualitative research

strategy to address the research questions. The purpose of the study is to identify firm-

level capabilities and resources required for firm longevity and adaptability through

multiple case study methodology. The chapter begins with a discussion of research

paradigm upon which the research is adopted. The body of this chapter addresses details

regarding the research design, including methodological fit, data collection procedures,

case selection criteria, interview and coding process. To demonstrate the rigorous of this

research design, four criteria including credibility, transferability, dependability and

confirmability are addressed. The final section of Chapter three presents the discussion on

ethical considerations and limitations, followed with concluding comments of the chapter.

A diagrammatic overview of Chapter Three can be seen in Figure 3.1.

Figure 3.1 Diagrammatic overview of Chapter Three

3.2 Research approach

A research paradigm constitutes school of thought and beliefs that reflects how a

researcher interacts and interprets within that world (Guba & Lincoln, 1994). As the

paradigm defines the philosophical orientation of the researcher, it influences every

decision made throughout the research process including the choice of research

methodology and method (Denzin & Lincoln, 2013). Since epistemology and

3.6 Conclusion

3.5 Ethical considerations and limitations

3.4 Evaluating the quality of case studies

3.3 Research design: Multiple case study

3.2 Research appraoch

3.1 Introduction

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methodology are intimately related, it is important for researchers to state the paradigm in

which the research is located.

A brief overview of the four major paradigms will be discussed, followed by

proposing the philosophical perspective adopted by this research with a detailed

justification in relating to ontological, epistemological and methodological issues. Table

3.2 illustrates the four major research paradigms raised by Denzin and Lincoln (1994).

Table 3.2 Major paradigms Element Positivism Post-positivism Critical Theory Constructivism

Synonym Verify Predict Emancipate Interpret

Ontology Reality is real and apprehensible

Real reality but only imperfectly and probabilistically apprehensible.

*Also known as critical realism

“Virtual” reality shaped by social, economic, ethnic, political, cultural and greater values, crystallised over time

Local, relative, co-constructed realities

Epistemology Finding is scientific.

Findings approximate truth; reality is never fully apprehended.

Value mediated findings

Co-created multiple realities and truths

Methodology

Quantitative, primarily experimental or quasi-experimental

Usually quantitative –may include qualitative such as case studies

Action research and participant observation

Often qualitative and/or quantitative

Adapted from Denzin & Lincoln (1994), Milman (2010).

Positivism is not suited for this study as the core of positivism is empiricism, using

deduction to postulate theories rather than answering the why questions (Bogdan & Biklen,

1998). Since the interest of the study is to investigate a contemporary phenomenon in

depth and within its real-life context, positivism is unsuitable. In contrast, the central

endeavour of constructivism is that reality is socially constructed, meaning that every

effort has to be made by researchers to understand the subjective world of human

experience (Bogdan & Biklen, 1998; Healy & Perry, 2000). In this paradigm, qualitative

data collection is utilised, and findings usually reflect the value of researcher (Chalmers,

Manley & Wasserman, 2005). Therefore, the constructivism paradigm is regarded to be

inappropriate for this study. With the attempt to end the paradigm war between positivism

and constructivism, critical theory emerged (Gage, 1989). Critical theorists proposed

historical realism that regards reality as shaped by social, economic, political, cultural and

ethnic factors (Guba & Lincoln, 1994). The paradigm differentiated itself from positivism

and constructivism with an orientation to self-reflection and emancipation, which shaped

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its epistemology to be more subjective and value dependent (Denzin & Lincoln, 2011;

Perry, 1998). Therefore, critical theory is deemed to be unsuited for this research.

Critical realism philosophical perspective is deemed to be the most appropriate to

facilitate the investigation of this study. A figure is used to illustrate the ontology of critical

realism. In critical realism, reality is stratified into three level (1) empirical level – the

transitive level of reality where events can be measured empirically and are always

mediated through the filter of human experience and interpretation; (2) actual level – the

level where events occurs whether or not we experience or interpret them and these true

occurrences are often different from what is observed at the empirical level (Danermark

et al., 2002); (3) real level – the level where causal mechanisms exists to produce events

at the empirical level, see Figure 3.3 (Miller & Tsang 2010). According to Wynn and

Williams (2012), each of level of reality in critical realism is equally important and seeks

to provide empirically supported statements about causation, specifically how and why a

phenomenon occurred, which is consistent with the proposed research questions:

RQ 1: How do firms close capability gaps in the creation of virtual servicescape?

RQ 2: How sensing, seizing and transforming are being managed to achieve

organisational agility in the creation of virtual servicescape?

This mechanism-oriented approach can be used to explain the underlying relations

between the deployment of dynamic capabilities, virtual servicescape, and the interior

world of the entrepreneurs. This research adopted critical realism to capture as much of

reality as possible, while emphasising the discovery and verification of theories (Denzin

& Lincoln, 2011).

Figure 3.3 Critical realism strata of reality

In any given fields of study, the key elements include research question(s), the

literature review, data collection and analysis, and contribution to the literature, which

should be aligned according to the stage of development of the current literature at the

time of the research to achieve methodological fit (Edmondson & McManus, 2007).

According to the three archetypes continuum proposed by Edmondson and McManus

Empirical level: experienced and observed events.

Actual level: events occur whether observered or not.

Real level: causal mechanism within objects or structure casue events at an empirical level to occur.

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(2007), this present study of a contemporary phenomenon is a nascent theoretical maturity

as it seeks to investigate the rich and complex phenomenon of dynamic capabilities on an

organisational level in virtual servicescape. Table 3.4 demonstrated the methodological fit

in detail across seven research design elements mentioned by Edmondson and McManus

(2007). In summary, in order to shed light on the phenomenon of interest, rich and detailed

data with iterative and exploratory content analysis are needed for theoretical contribution

(Barker, 1993; Eriksson & Kovalainen, 2015).

Table 3.4 Nascent theoretical maturity

Element Nascent Present Study

Research questions Open ended inquiry about a phenomenon of interest √

Type of data collected Qualitative, initially open-ended data that need to be interpreted for meaning

Illustrative method for collecting data

Interviews, observations, obtaining documents/ field materials relevant to the phenomena of interest

Constructs and methods Typically new constructs, few formal measures √

Goal of data analysis Pattern identification √

Data analysis method Thematic content analysis coding for evidence √

Theoretical contribution New construct, suggestive theory/model √

3.3 Unit of analysis

In the first step to perform data analysis, the study must define the unit of analysis

(Trochim, 2006; Kumar et al, 2018). A critical review of methodological issues in the field

of dynamic capabilities, called for an immediate attention on the unit of analysis, as 82

per cent of the articles in the review did not clearly state the unit of analysis (Eriksson &

Kovalainen, 2008). Without a clear unit of analysis, the rigour of the study is hampered

(Babbie, 2005). Since dynamic capabilities are deemed as a complex multi-dimensional

concept, the unit of analysis would provide rich contextual data. Thus, the unit of analysis

in this study are local, highly innovative, Chinese small and medium enterprises (SME),

working in virtual servicescape. It is argued that in an SME context, the power of decision

making is held by a small group of people or the owner/founder of the business (Reid,

1981). In such cases, interviews were conducted at individual level with the

owner/founder of eight case firms, as these people represent their organizational decisions

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rather than their personal decisions (Eisenhardt & Martin, 2000; Glavas & Mathews, 2014;

Kumar et al, 2018; Schilke, 2014; Teece, 1997).

3.4 Research design: Multiple case studies

A multiple case study methodology was used in this research to interpret contrasting

and similar patterns of DCs within each case situation and cross case situations in the

context of a developing economy (China) and virtual servicescape (Baxter & Jack, 2008).

Unlike a single case study, multiple cases allow researchers to study a real life, multiple

bounded system through multiple sources of information (Creswell & Miller, 2000; Yin,

2014). For instance, the within case data leads to theoretical conclusions via the

mechanisms identified, whereas the cross-case data reveals the pattern of similarities and

differences for advancing theoretical development (Yin, 2014). More specifically, the

literature of strategic management has also highlighted the explorative function of

multiple case studies, as a vehicle for understanding the complexity of strategic

management processes in the absence of previous work (Di Mauro et al, 2018; Ellonen et

al., 2009; Ridder, 2017; Thomas & Trevino, 1993; Yin, 2014). Replication logic is central

in multiple case studies to assist the analysis of the data (Yin, 2014). In the case of this

research, both literal and theoretical replication were applied, as was analytic

generalisation (Yin, 2014). Literal replication means that similar results across cases are

observed for predictable explanations, whereas theoretical replication means that contrary

results are predicted for theoretical reasons (Ridder, 2017; Yin, 2014). In this context,

service-oriented case firms and goods-oriented case firms may exhibit similarities and

differences in patterns between dynamic capabilities of the firm and firm performance

within industries and across industries (Yin, 2014). In summary, a multiple case study was

chosen as research design to improve the generalisability of the study (Yin, 2009).

3.4.1 Case selection

The execution of a good research depends upon the quality of the data, underpinned

by the competence of the informant and the manner of obtaining data (Bernard et al. 1986;

Eisenhardt & Graebner 2007). The selection of case organisations should be driven by the

research questions and research method (Creswell & Miller, 2000; Patton, 2014; Yin,

2009). Adhering to the critical post-positivism paradigm, replication logic and research

question, a purposive sampling strategy can be justified. Although ‘expert bias’ is

introduced in purposive sampling, the inherent bias captures the wisdom of informants in

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the phenomenon of interest that sits outside the academic mainstreams (Campbell, 1955;

Patton, 2014). Several studies were performed to test the efficiency of purposive sampling

in comparison to random techniques. The findings suggested that the results of purposive

sampling and random sampling were highly correlated and in addition, purposive

sampling contributed new insights, encouraging scholars to look beyond the statistics

(Karmel & Jain, 1987; Tongco, 2007; Topp et al., 2004). In order to generate robust and

reliable data, the competence and reliability of the informant is key (Patton, 2014; Tongco,

2007).

It is important to be clear on the informant experience and qualifications in

purposive sampling (Patton, 2014). Hence, four criteria were set out to conduct informant

selection which may be seen in Figure 3.5. The first criterion was that the interview

informant must be the founder or co-founder of a local SME. A screening question was

asked to understand the role of the informant in the firm. It is commonly accepted by the

strategic management literature that dynamic capabilities, the capability to evaluate

complex firm-level issues, resides in senior management (Di Stefano et al., 2014;

Laaksonen & Peltoniemi, 2018; Teece, 2019a). By interviewing the founder or co-

founders who are expected to have in-depth knowledge regarding to the firm’s operational

process and overall strategies, phenomenon of dynamic capabilities can be vividly

documented (Barrales-Molina et al., 2013; Kriz, Voola & Yuksel, 2014; Teece, 2019a).

The second criterion concerned the size of the firm. In the context of China, firms with

“less than 2,000 employees” are regarded as SME (Tang, Tang, & Katz, 2014; Tang, Tang

& Cowden, 2017). This was an important criterion in developing understanding of

dynamic capabilities in the emerging economy. A research done by Rothaermel and Hess

(2007) highlighted that firms with larger numbers of qualified employees are able to

respond to changes quickly due to the possession of resources, operational capabilities and

dynamic capabilities. Since SMEs generally lack resources and capabilities, this criterion

was set out to capture how dynamic capabilities can assist the adaption and resilience of

the firm to maintain its competitive advantage in a competitive virtual context. The third

criterion conditioned case firms to be working in virtual servicescape in China and

engaged with at least one major e-commerce platform. The virtual environment in China

is highly innovative and competitive, which provides a fertile ground to study the

mechanism of dynamic capabilities (Biesenthal et al., 2019; Teece, 2018). Fourth, the

businesses were required to have undergone a minimum of one virtual transformation

within the past two years. Virtual transformation is defined as a process of cross-

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disciplinary change, where a new virtual business model is developed using digital

technologies to create value for the firm (Schallmo et al., 2017; Verhoef et al., 2019). This

company wide transformation encompasses changes in marketing, product development,

supply chain, strategy, organisation structure, innovation and information technology

(Foss & Saebi, 2017; Verhoef, Kannan, & Inman, 2015). In other words, the pursuit of

virtual transformation requires a reconfiguration of digital resources and capabilities

(Teece, 2010). By documenting the changes of pre, during, and post-virtual transformation,

the understanding of dynamic capabilities in virtual servicecsape will be better captured,

see Figure 3.5.

The sufficient number of cases that should be included in a multiple case study is

not consistently clear (Perry, 1998; Yin, 2009). Yin (2009) suggested that the number of

case replication (both literal and theoretical). should be considered to determine the

desired sample size. Although it is impossible to specify a sample size without knowing

the study, typically six to ten cases are recommended for a type four case study (Gentles

et al., 2015; Patton, 2014; Yin, 2014). Given the recommendation, eight cases across the

goods and services sectors in virtual environment of China were selected. On the basis of

the replication logic discussed above, the size and the sector of case firms were halved

into small and medium, goods-oriented and services-oriented respectively.

Figure 3.5 Criteria of case selection

3.4.2 Data collection

Case study can be jeopardised if the preparation for data collection is not done well

(Yin, 2009). Guided by the four principles of data collection by Yin (2014), semi-

structured interviews, documents and archival records were used to complement one

another in the construction of case studies. The primary source of data was collected

through semi-structured in-depth interviews. These interviews were conducted

individually, with eight business owners across goods- and services- sectors, lasting on

average of 71 minutes, from November to December 2019. The interviews were

The role of the informant

• Founder or co-founder of the business

Non-state ownership SME in China

• Non-state ownership • SME with less than 2,000 employees

Firms working in virtual environment

• Internet-enabled business

• Selling goods or services via at least one e-commerce platform(s)

Virtural transformations

• Experienced minimum one virtual transformation

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conducted face-to-face in a pre-booked meeting room in the interviewee’s firm. All

interviews were audio recorded and transcribed to aid the recall of discussion to facilitate

data analysis. To ensure the transcription represented the ‘full picture’ of the conversation,

apart from textual component, emotional aspects, pauses and silences were given

consideration (Lapadat & Lindsay, 1999; Poland & Pederson, 1998; Wellard & McKenna,

2001). The interviewees in this research were the key decision makers who were

responsible for firm’s virtual transformation. The purpose of semi-structured in-depth

interviews was guaranteed through the design of protocol questions (Yin, 2018). The

protocol questions are particularly important, as it helps to structure the flow of the

conversation (Patton, 2014). The interview protocol questions refinement framework

(IPR) was used for developing the effective interview protocols (Castillo-Montoya, 2016).

The procedure of the IPR comprised four phases, illustrated in Figure 3.6: (1) mapping

interview questions against the research questions; (2) paraphrasing interview questions

in a clear, short and conversational manner; (3) obtaining feedback on interview protocol;

(4) piloting the interview protocol. This research carried out the practices from phase one

to four to garner rich data.

Figure 3.6 Research protocol Research Question Corresponding question Research focus

Opening questions

RQ 1: How do firms close capability gaps in the creation of virtual servicescape?

Q2 and Q3 Performance of the firm, changes in ordinary capabilities and resource

Q4 Identification of capability gap (three gaps)

Q5 Capabilities and resources accumulated to overcome capability gap

Q6 Open innovation

RQ 2: How sensing, seizing and transforming are being managed to achieve organisational agility in the creation of virtual servicescape?

Q7 Competitive advantage of the firm before, during and post virtual transformation

Q8 and Q9 Sensing and seizing strategies to reconfigure resources and capability

Q10 Transforming strategies

Closing questions

To address the challenge of research design, four overriding principles of data

collection were incorporated (Yin, 2018). Principle one was executed through hybrid

evidence collection strategy. Besides interview data, documentation, archival records and

direct observations were collected as part of the multiple case study research. For instance,

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stories from local news and articles which appeared on official websites, were mentioned

in the interviews to develop the timeline of virtual transformation. Archival data such as

aptitude tests, organisation digital infrastructure records and headquarter geographical

changes were recorded, in conjunction with other information. Less formal observations

were made, such as observation in the interview, environment of the workplace and

location of the office. The multiple sources of evidence allow more convincing and

accurate findings. Principles two and three were implemented though creating a case study

database in Nvivo, data analysis software. For example, sub-folders were created under

each case firm folder to store original evidence, allowing backward evidence tracing. The

last principle was followed with caution. Extra effort was committed to cross-check the

accuracy of the information.

Table 3.7 Four principles of data collection

Principle Examples

1 Use multiple sources of evidence √ Documentation, archival data, direct observation and interviews

2 Create a case study database √ A folder for each case including data, field notes and other information

3 Maintain a chain of evidence √ Storage of original data in Nvivo

4 Exercise care when using data from social media sources

√ Official social media accounts were used, and others were reviewed with cautions

Source: Yin (2018) Four principle of data collection.

3.4.3 Data coding and analysis

Data coding and analysis is one of the least developed aspects of case studies

(Saldana, 2013; Yin, 2018). Although there is no best way to code qualitative data, as each

qualitative study is unique, two or more coding methods are recommended to capture the

complex phenomenon of interest (Saldana, 2013). The data coding procedure and analysis

of this research was guided by The Coding Manual for Qualitative Researcher (Saldana,

2013). Figure 3.7 illustrated the coding process visually. In the present study, descriptive

and pattern coding methods were carefully considered, as this hybrid method could be

used to better reveal the epistemological questions (Saldana, 2015). An analytic memo

was implemented throughout the coding and analysis phase to stimulate “ah-ha” moments.

This process helps the researcher not only to familiarise with the data, but also to establish

connections of individual components (Saldana, 2015). In the first cycle of data coding,

transcripts were reviewed in a line by line manner, generating a pool of low inference

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codes (Saldana, 2015). The goal of first cycle coding was to summarise and segment data

at a basic level, laying a solid groundwork for second cycle of analysis (Punch, 2014;

Wolcott, 1994). Before transitioning to second cycle coding, the researcher reviewed

existing first-order coding nodes with supervisors, to re-organise and re-assemble the

codes developed from first cycle processes. Diagramming technique was adopted in this

step to “think display” the threads of analysis and results in a coherent manner (Dey, 1993;

Miles & Huberman, 1994). During second cycling coding, pattern coding was adopted.

Overlapping and redundant codes from the first cycle were identified, then re-organised

into sub-codes (Miles & Huberman, 1994). From second-cycle coding, major themes

associated to dynamic capabilities were developed and patterns of connections between

the manipulation of capability and resource became clearer connections (Richards, 2015;

Saldana, 2015). After second-cycle coding, cross-case synthesis technique was applied to

assist the analysis of multi-case studies (Yin, 2018). The goal of this analysis approach

was to “retain the integrity holistic feature of the entire case and then to compare the any

within-case patterns across the case” (Yin, 2018, p196).

Figure 3.8 Data coding and analysis

3.5 Criteria for evaluating the quality of case studies

Ensuring the trustworthiness of the data and quality of the findings, four key

components proposed by Guba (1981) and further adapted by Shenton (2004) was applied

in this research. The four elements were (1) credibility; (2) transferability; (3)

dependability, and (4) confirmability. The focus of each criterion and strategies taken to

meet them for this research are summarised in Table 3.8 and explained below.

3.5.1 Criterion One: Credibility

In qualitative research, internal validity is replaced by credibility (Lincoln & Guba,

1985). That is, the researcher correctly interprets participants’ original views (Macnee &

McCabe, 2008). Several strategies recommended by Shenton (2004) were applied to

ensure the credibility of research. First, multiple-case study adopted in this study is a well-

Analytic memo

• Document coding process

First cycle coding

• Descriptive coding

Transition to second cycle

coding

• Review

Second cycle coding

• Pattern coding to develop major themes

Transition to analysis

• Writing about coding

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recognised research method in the field of strategic management. Second, both

methodological triangulation and data triangulation were applied, to reduce bias and cross-

examine informants’ responses. The use of multiple sources of evidence, in a manner

encouraging convergence lines of inquiry, enhances the quality of the data (Yin, 2018).

For instance, stories from local news and articles which appeared on official websites were

mentioned in the interviews to develop the timeline of virtual transformation. Archival

data such as aptitude tests, organisation digital infrastructure records and headquarter

geographical changes were recorded, in conjunction with other information. Less formal

observations were made, such as observation in the interview, environment of the

workplace, location of the office. Third, member checks to eliminate researcher bias was

performed when analysing and interpreting the results. The analysed data and results were

sent back to the informants to ensure no misreporting (Schwandt et al., 2007). Fourth, the

researcher proactively sought opportunities to present the research topic for feedback from

academic staff, supervisors and fellow researchers. Fifth, detailed descriptions concerning

methodology and context were provided in the research reports allowing readers to make

judgements about whether the final themes are true to participants’ accounts (Yin, 2019).

3.5.2 Criterion Two: Transferability

Similar to external validity in quantitative research, transferability refers to the

application of findings to other contexts (Lincoln & Guba, 1985). This research facilitated

the transferability of the inquiry through thick description and purposeful sampling. The

research provided sufficient contextual information of SMEs in the sections of within and

cross-case analysis, which allowed practitioners to relate the findings to their own

positions (Yin, 2014). Further, informed by replication logic, purposeful sampling was

utilised in this study. Four selection criteria were developed to ensure the competence and

quality of the informants (Cohen, Manion, & Morrison, 2011). In addition, the application

of replication logic incorporating literal and theoretical replications strengthens the design

and analytical generalisability (Yin, 2018).

3.5.3 Criterion Three: Dependability

Dependability is equivalent to reliability in quantitative research. The dependability

of this research is addressed through research design and method. Shenton (2004)

suggested that a detailed reporting process of the research design, describing what was

planned and executed on a strategic level was included to demonstrate dependability.

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Further, a case database records the operational detail of data gathering including raw data,

documents, field notes, archival data and news clippings was created to maintain a chain

of evidence for cross-checking (Bowen, 2009; Lincoln & Guba, 1985).

3.5.4 Criterion Four: Confirmability

Replaced objectivity is confirmability emphasising the work findings representing

the ideas of informants, rather than researcher’s imaginations (Shenton, 2004).

Confirmability is achieved when credibility, transferability and dependability are

addressed (Bowen, 2009). A clear and descriptive discussion of research process was

provided from initial outline to the findings in this chapter. In addition, memo,

triangulation, reflective commentary and audit trails were adopted to ensure the

consistency of research questions, research design and methods, see Table 3.8.

Table 3.9 Addressing qualitative criteria of trustworthiness Criterion Provisions made for this research

Credibility

Adoption of appropriate, well recognised research methods Development of early familiarity with culture of participating organisations Triangulation via use of different methods, different types of informants and

different sites Tactics to help ensure honesty in informants Iterative questioning in data collection dialogues Debriefing sessions between researcher and superiors Thick description of phenomenon under scrutiny Examination of previous research to frame findings

Transferability Provision of background data to establish context of study and detailed description of phenomenon in question to allow comparisons to be made

Dependability Employment of “overlapping methods” In-depth methodological description to allow study to be repeated

Confirmability

Triangulation to reduce effect of investigator bias Admission of researcher’s beliefs and assumptions Recognition of shortcomings in study’s methods and their potential effects In-depth methodological description to allow integrity of research results to

be scrutinised Use of diagrams to demonstrate “audit trail”

Source: Shenton (2004) further adapted from Guba (1981).

3.6 Ethical considerations & limitations

In between the completion of research design and data collection, an application

demonstrating the plans to protect the human subject from harm, privacy and

confidentiality was lodged with Queensland University of Technology Human Research

Ethics Committee. A low-risk research involving human participants was granted. In

accordance to the Australian Government’s National Statement on Ethical Conduct in

Human Research, researchers should conduct data collection with case and sensitivity.

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Yin (2018) outlined two concerning issues relating to data collection: (1) the need of

consent: a folder including a summary of research, interview information and consent

forms were translated sent to all persons who may be part of the data collection to gain

informed consent. All participants were given the time to raise any questions and reminded

the rights to withdraw from the interview at any time. (2) Privacy and confidentiality of

the participants: participants’ confidentialities were protected by the use of consent forms.

No personal identifying information about the participants were revealed. Further steps,

such as using a coding system, were taken to disguise the identity of the participants. This

project did not raise any issues of deception, threat, invasion of privacy, mental, cultural

or physical risk or stress nor involve gathering of personal sensitive information about or

from individuals.

3.7 Conclusions

Chapter Three was opened with a discussion of the paradigmatic approach which

forms the foundation for the study. A critical realism perspective was adopted, given the

purpose of the study was to study the underlying relations between the deployment of

dynamic capabilities, virtual servicescape, and the interior world of the entrepreneurs.

Multiple case study approaches were adopted in the investigation of the dynamic

capability topic, followed by a comprehensive discussion on case selection strategies and

data collection procedures. Further, data analysis and coding procedures were presented.

The credibility, transferability, dependability and confirmability of case studies were

presented to ensure the quality of qualitative study. The end of this chapter presented a

discussion on ethical consideration and limitation discussion.

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CHAPTER FOUR: FINDINGS 4.1 Introduction

Following the qualitative research methodology and design identified in Chapter,

the purpose of Chapter Four is to present the results of collected case data. The chapter

begins by summarising the findings from within-case analysis, followed with cross-case

analysis by presenting data collected from eight in-depth interviews with business

founders from China. Thematic analysis and replication logic were employed to guide the

analysis of the transcripts (Boyatzis, 1998; Braun & Clarke, 2006; Yin, 1994). Figure 4.1

provides a diagrammatic overview of Chapter Four.

Figure 4.1 Diagrammatic overview of Chapter Four

4.2 Within-case Analysis

Within-case analysis requires a comprehensive and descriptive case write-up,

allowing the researcher to familiarise with each individual case in the study (Eisenhardt,

1989). In order to identify unique patterns of each case, an in-depth exploration of each

individual case was conducted and presented in Table 4.2 (Perry, 1998). The within-cases

analysis in this research was carried on a firm-level, examining each firm based on firm’s

year of establishment, the number of employees, the years of virtual activity, the firm’s

customer orientation, the firm’s descriptive type, the intensity of virtual servicescape

creation, the intensity of digital adoption within the firm and the firm’s open innovation

activities.

4.5 Conclusion

4.4 Cross-case analysis of RQ2

4.3 Cross-case analysis of RQ1

4.2 Within-case analysis

4.1 Introduction

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Overview of case firms

All eight firms in this study represent firms operating in virtual servicescape in

China. Of all founders indicated their experiences in virtual servicescape albeit the average

age of 34. Gender ratio of the sample was consisted evenly of four females (e.g. GmA,

GsC, SmE, SsF) and four males (e.g. GnB, SmD, SsG, SsH). At a firm level, the number

of employees ranged from five (e.g. GsC) to 220 (e.g. GmA), suggesting that all firms are

SME. The earliest establishment of the firm was dated back to 1999 (e.g. GmB) in

comparison to the most recent inception, 2017 (e.g. SmE). The year of virtual activity of

each firm ranged from 2 (e.g. SmE) to 13 years (e.g. GmA). The customer orientation of

the firm included six firms provide only business-to-consumer (B-to-C) goods and

services (e.g. GmA, GmB, GsC, SmD, SmE, SsH), two firms provide only business-to-

business (B-to-B) goods and services (e.g. SsF, SsG), and four firms provide both

business-to-business (B-to-B) and business-to-consumer (B-to-C) goods and services (e.g.

GmB, SmD, SmE, SsH). Regarding to intensity level of virtual servicescape presence,

four of which firms indicating high intensity in virtual servicescape presence (e.g. GmA,

GsC, SmD, SsF), four in moderate (e.g. GmB, SmE, SsG, SsH) and none in low. Further

in digital infrastructure adoption, three firms (e.g. GmA, SmE, SsF) have highly

sophisticated digital infrastructure in place for business operation in comparison to one

firm (e.g. GsC) in infancy and three in moderate stages (e.g. GmB, SmD, SsG, SsH). All

firms have engaged in open innovation activities. Therefore, all firms in this research will

provide variance in their insights by SMEs. To preserve confidentiality of participants,

both the firm of and the entrepreneur are referred collectively to as Case GmA-GsC and

SmD-SsH. “G” refers to a goods-oriented firm, “S” refers to a service-oriented firm, “s”

standards to small-sized firm and “m” refers to medium sized firm.

In order to develop better understanding of each single case, all samples can be

classified into four categories, respectively: entrepreneur’s experience in virtual

servicescape creation; activeness of firm in virtual servicescape industry, firm’s level of

digital infrastructure, and firm’s industry type. By entrepreneur’s experience in virtual

servicescape creation, firms are split into three groups: experiences below five years (e.g.

SsH), experiences between five to ten years (e.g. GmB, GsC, SmE, SsF), and experiences

above ten years (e.g. GmA, SmD, SsG). However, entrepreneur’s experience in virtual

servicescape industry does not fully translate to the activeness of firm in virtual

servicescape industry. Among all firms, up to five firms (e.g. GmB, GsC, SmE, SsC, SsH)

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have indicated to have less than five years involvement in virtual servicescape industry

activities, two firms (e.g. SmD, SsF) meeting the requirement of having virtual

servicescape experiences between five to ten years, and only one firm (e.g. GmA) engaged

in virtual servicescape for more than ten years. By intensity level of digital infrastructure

adoption, firms can be divided into highly developed digital infrastructure (e.g. GmA.

SmE, SsF), moderately developed digital infrastructure (e.g. GmB, SmE, SsG, SsH) and

less developed digital infrastructure (e.g. GsC).

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Table 4.2 Descriptive summary of case firms included in the research

Note. All firms are private, wholly owned Chinese businesses. * denotes the primary customer orientation. G= Goods-oriented firm, S= Service-orientated firm, s=Small sized firm, m= Medium sized firm.

Cas

e #

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Age

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Num

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al

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activ

ities

GmA Founder & CEO

36 Female 17 220 2006 13 B-to-C Fashion label High High Yes Weekly

GmB Managing director

28 Male 6 29 1999 3 B-to-C*;

B-to-B

Furniture & fabrics Moderate Moderate Yes

Monthly

GsC Founder & managing director

28 Female 9 5 2016 3 B-To-C Beauty company High Low Yes Weekly

SmD Founder & managing director

36 Male 11 31 2011 8 B-to-B;

B-to-C

Social media company

High Moderate Yes Monthly

SmE Co-founder & managing director

37 Female 7 138 2017 2 B-to-B*;

B-to-C

Home automation system

Moderate High Yes Monthly

SsF Co-founder & managing director

32 Female 7 18 2011 8 B-to-B; Gaming marketing High High Yes Monthly

SsG Founder & CEO

36 Male 12 10 2015 4 B-to-B; Marketing service Moderate Moderate Yes Monthly

SsH Founder & managing director

42 Male 2 15 2008 4 B-to-B; B-to-C*

Development company

Moderate Moderate Yes Quarterly

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4.2.1 Case GmA: Fashion label company

Case GmA is a medium-sized fashion label company targeting at Asian consumers

with strong digital presences on multiple e-commerce marketplaces in China. Established

in 2006, the firm was conceived as a virtual firm from inception. Prior to the establishment

of the firm, the founder had accumulated extensive online business knowledge by working

as a digital product manager for a multi-national corporation. To date, the firm had gone

through three digital transformations. Each digital transformation was focused on a

different aspect of business operation. Specially, the first digital transformation was to

increase the brand’s digital reach by improving the quality of digital content. The founder

stasted that, “this transformation was quite superficial as we really were trying to make

our online content appealing… we built our capabilities around content creation and we

try to be different.” The second and third digital transformations were aimed to increase

the organic ranking of the business. During the second transformation, GmA relied heavily

on platform assistance and external IT support. However, it is proven that this strategy

was slow, ineffectively and costly. For the firm’s third transformation, it invested heavily

on digital infrastructure in terms of data collection capacity, data storage and data

networking. The firm now has constructed its own current system by leveraging on big

data and machine learning. The firm’s IT infrastructure has the ability to perform

sophisticated modelling on user interest or sales forecast through aggregation of multiple

information sources.

4.2.2 Case GmB: Fabric and furniture company

Case GmB is a family business specialises in fabric and furniture. The business now

serves a diverse portfolio of customers from both online and offline including mainland

China, Hong Kong, South East Asia and Middle East. The company was established in

1999 as a curtain company with no intention to expand their business on online. The ex-

founder of the business had little to no knowledge about business operation in virtual

servicescape. Prior to digital transformation, the business found it difficult to compete in

the brick-and-mortar market and experienced significant decline in sales. To reposition

the business, the son took over the business. The current business owner oversaw the

social media portfolio of a multinational hospitality group for mainland China. To date,

the firm had gone through two digital transformations. The first digital transformation was

achieved through capabilities and resources outsourcing. The founder stated that, “this

transformation was really a test water. I wanted to see the challenges and the response of

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digital consumers towards to fabric, curtain and furniture shopping.” The second digital

transformation was aimed to improve consumer experience with the brand. The firm

formed partnerships with a local university and one tech-firm, experimenting AR and VR

as a vehicle to improve business productivity and consumer online shopping experience.

4.2.3 Case GsC: Beauty company

Case GsC provides beauty and skin product advisory service to Chinese consumers,

using DNA swab test and skin analyser mobile application to conduct virtual consultation

and product recommendation. Established in 2016, the firm was conceived as a virtual

firm from inception. The firm’s major sales channel is via mobile application, followed

by WeChat social commerce. To date, the firm had gone through two digital

transformations. Prior to both digital transformations, the firm found it difficult to

uniquely position themselves in the market. The founder noted that the first digital

transformation was to build a solid technical foundation for second transformation. The

business relied open innovation and co-founder’s previous digital experience to develop a

mobile application. The app is based on big data (local geographical data, consumer screen

time, daily life routine) to perform skin condition diagnosis (using artificial intelligence)

and recommend suitable skincare products and solutions. The second digital

transformation was related to brand reposition from product strategy to promotion to

pricing strategy. The firm converted its major sales channel to mobile application,

followed by WeChat social commerce.

4.2.4 Case SmD: Media company

Case SmD was established in Australia as a boutique social media agency. Over the

years, the firm has evolved to a full-service communication agency, education advisory

and legal service partner serving Chinese audience in Australia. The education and legal

service team are Australia based, while the communication service including content

production, event management and media copy writing was relocated to China two years

ago and supported by contractors from local area. Internal project management and

communication were managed through the use of digital applications. Inbound open

innovation was adopted to expand the firm’s service eco-system. To date, the firm had

gone through two digital transformations. Prior to digital transformations, the firm found

the business model to be costly and inefficient.

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4.2.5 Case SmE: Home automation system

Case SmE was established as a start-up company by two entrepreneurs with prior

experiences in software product and development services. The firm has developed a

home automation system where security, entertainment, audio command, lighting and

miscellaneous services are integrated onto one platform. Customers are mostly drawn

from China, United States, Australia and South East Asia. Leveraging on previous

resources and skillsets, the firm has collaborated with one of the largest real estate

company in China to develop robots to perform property management tasks. Open

innovation was detected in their virtual transformation. To date, the firm had gone through

one digital transformations.

4.2.6 Case SsF: Gaming marketing agency

Founded by three entrepreneurs with extensive experiences in virtual servicescape,

media and filming industry in China, Case E is a video game creative and marketing

agency providing marketing campaign on mobile, PC and console games solely to

mainland China. Due to the restrictions on China’s gaming industry, the firm relies heavily

on traditional network relationship which secures almost 85% of firm’s annual revenue.

The firm has developed mature new technology application in gaming including virtual

reality, augmented reality, drones and consumer robotics. With strong online presence,

the business intends to reverse digital transformation by partnering with a Chinese

multinational conglomerate to build the largest virtual reality gaming centre in Asia. To

date, the firm had gone through two digital transformations.

4.2.7 Case SsG: Marketing services

Case G was established as an online dating service when WeChat Mini Program was

first introduced in 2017. As one of the early adopters, the firm was facing significant traffic

flow issue. Accumulated experiences in managing traffic flow within WeChat ecosystem

repositioned Case G to become a niche marketing agency on WeChat mini program. The

founder has indicated that open innovation was critical to the transformation of the

business. The firm has built over 200 WeChat Mini Programs in the past two years

including e-commerce site, travel booking system, food delivery service, education

webinar, corporate management system, bike and car sharing service within WeChat mini

program. To date, the firm had gone through one digital transformation.

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4.2.8 Case SsH: Development company

Case H is a development company that specialises in residential and commercial

projects in China. The firm was formed in 2008 and has created an extended portfolio of

six development brands. Addressing excessive capacity, the interior design brand has

entered virtual servicescape industry via major e-commerce marketplace providing online

interior design and furniture package. In 2015, 20 percent of its annual profit was

contributed from the online sector. The founder indicated that open innovation with e-

commerce platform allows them to revolutionise user experience by embracing drones,

virtual reality and augmented reality. To date, the firm had gone through two digital

transformations.

4.3 Cross-case analysis

Cross-case analysis examines themes, similarities and differences across and within

groups of cases (Yin, 2019). This section identified key patterns and themes related to the

research questions. The analysis was guided by research questions from the research

protocol, where questions were used to uncover insights related to capability development

for virtual service scapes. In the end, three conceptual themes were identified as critical

for the development of virtual service scapes which will be discussed next.

4.3.1 Research question one

Table 4.3 presents the research question, corresponding question from interview

protocol and the research focus of each question that designed to uncover how firms

build capabilities to meet market needs and what the firm technology and organisational

capability can provide. The following section presents the findings in relation to research

question one.

Table 4.3 Cross-case analysis: research question and key data sources Research Question Corresponding question Research focus

RQ 1: How do firms close capability gaps in the creation of virtual servicescape?

Q1, Q2 and Q3 Current firm focus in virtual servicescape

Q4 Identification of capability gap

Q4 and Q5 Capabilities and resources accumulated to overcome capability gap

Q6 Open innovation

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Research question one incorporates three capability themes/constructs: dimension 1:

technical capability distance; dimension 2: market distance and dimension 3: business

model distance (Teece, 2018). Research question one also incorporated two resources:

resource 1: monetary and; resource 2: people (resources are not capabilities).

Table 4.4 presents key capability gaps firms facing with respect to the creation of

virtual servicescape. “Zero” indicates capability for new technologies that do not represent

a change for the case firm. “Near” indicates the current state of capability is closer to the

target state, meaning that the gap is relatively easy to close. “Medium” and “Far” mean

that the challenge the firm faces are quite radical, as the firm attempts to introduce new

technology, adopt new business model or expanding to a new market.

Table 4.4 Capability distances to new virtual servicescape

Three Dimensions of Capability Distance

Technology Business Model Market

GmA Medium Near Near

GmB Far Far Far

GsC Far Near Far

SmD Near Near Near

SmE Medium Near Medium

SsF Far Near Far

SsG Medium Far Medium

SsH Far Far Far

As shown in Table 4.4, technology distance was viewed as a “medium” to “far”

challenge for all firms except SmD. When it comes to business model, Internet-born firms

(GmA, GsC, SmE and SsF) found the transformation of revenue mechanism in virtual

servicecsape straightforward, while traditional businesses (GmB, SsG, SsH) regarded the

gap to be quite challenging. Market distance represents market opportunity, with all case

firms aware of the potentials in the virtual servicescape. GmA and SmD viewed their

market distance as ‘near’ because both businesses were already in the virtual business

paradigm. Goods oriented firm GmB and GsC viewed market gap as ‘medium’ whereas

service-oriented firms (SmE, SsF, SsG and SsH) as ‘far’. GmB and SsH were facing more

challenges than other firms with respect to developing new capabilities.

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Business risk is associated with closing capability gaps and is multiplied with the

number of gaps to be closed. The further away the distance is from the traditional

capability set, the more uncertainty exists for the firm in relation to transformation. For

example, GmB had four out of five of their physical stores closed in one month as they

had to commit sufficient resources to support the transformation. Further, SsH had to

allocate large portion of the resources for learning such as hiring talent, foreign

cooperation and purchasing intellectual properties.

4.3.1.1 Dimension 1: Technical distance

Technical distance is to identify critical technological challenge that need to be

acquired or enhanced (Teece, 2019a). All firms were required to identify: (i) if it was

important for the firm to be continually address technical distance and (ii) something they

have done to address the technical distance in the creation of virtual servicescape.

As shown in column (I) of Table 4.5, four firms (GmB, SsF, SsH) viewed closing

technical distance to be “very important”. Three firms (GmA, GsC, SmE) indicated

“important”, while two firms (SmD, SsG) indicated as “moderate important”. All eight

firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH) adopted open innovation in order

to address technological challenges in the creation of virtual servicescape creation.

On average, eight firms in this research consistently adopted website, social media

accounts, cloud computing and open innovation to address initial technical challenge

(GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH). Followed by augmented reality or virtual

reality, which was evident in six firms (GmB, GsC, SmE, SsF, SsG, SsH). In contrast,

only three firms (GsC, SmE and SsH) applied Internet of Things (IoT). Two firms (GmA

and SmE) engaged in machine learning. Case firm SsH applied drone technology and Case

firm SmF applied robotics technology.

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Table 4.5 Type of technical distance in virtual servicescape creation

Type of technical capability

Case

Web

site

, So

cial

M

edia

A

ccou

nts

(A)

Clo

ud

com

putin

g (B

)

Inte

rnet

of

Thin

gs (C

)

AR

or V

R

(D)

Dro

nes (

E)

Mac

hine

le

arni

ng (F

)

Rob

otic

s (G

)

Ope

n in

nova

tion

(H)

Leve

l of

impo

rtanc

e of

clo

sing

te

chni

cal

dist

ance

(I)

GmA √ √ - - - √ - √ I

GmB √ √ - √ - - - √ VI

GsC √ √ √ √ - - - √ I

SmD √ √ - - - - - √ MI

SmE √ √ √ - - √ - √ I

SsF √ √ - √ - - √ √ VI

SsG √ √ - √ - - - √ MI

SsH √ √ √ √ √ - - √ VI

Aggregate 8/8 8/8 3/8 5/8 1/8 2/8 1/8 8/8

Note: Column A to column H indicates technical capability from intermediate to advanced level. VI = Very important, I= Important, MI = Moderate important. Tick (√) = in-use, dashed line (-) = Non-use, bold font = Indicates very high levels of technical innovation.

Evaluation of dimension one: technical distance

Four key findings have identified from the data in relation to how firms address

technical distance: (1) Website, Social Media Accounts, (2) Cloud technology, (3)

Augmented reality and virtual reality and (4) Open innovation.

(1) Website and social media accounts to address data insufficiency

All eight firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH) in this research

identified that in the initial phase of virtualisation: accessibility to data and online brand

awareness were the two major issues firms face. For example, GmA inferred the

importance of data:

“we cannot travel this far without data...without data, we won’t able to aim our

consumers precisely… one phase of our product developments is to analyse the data

from social media to predict consumer preferences…” (GmA)

When asked how these firm address data insufficiency issue, all eight firms (GmA,

GmB, GsC, SmD, SmE, SsF, SsG, SsH) in this research regarded social media and website

as a primary source for data collection. For example, GsC (customised skincare retailer)

and SsF (mixed reality gaming) indicated that listen to conversations on social media:

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“we monitor every single review in the internet. Our customers are part of our product

development journey. They tell us what they want, and we execute on it. We have built a

consumer review organisation system that we monitor monthly.” (GsC)

Case SsH (virtual interior design) highlighted another insight that because each

social media platform includes a very different target audience cohort, in order for the

firm to collect high quality data, they have to alter their communication strategy to

encourage engagement. The firm deems social media as a potent tool for data collection:

“we had to create many social media accounts online to nurture the conversation

strategically across different platforms to educate consumers about our service in the

very beginning.” (SsH)

(2) Cloud computing to accelerate digital infrastructure

A firm’s digital infrastructure was identified as another influential factor in the

creation of virtual servicescape. All eight firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG,

SsH) indicated that the adoption of cloud computing has accelerated the growth of

organisational infrastructure as well as innovations. For example, five firms (GmA, GsC,

SmE, SsF and SsG) adopted cloud platform with the goal to transform the existing

business model to be more customer-centric. For example, the owner of GsC noted:

“Cloud ultimately increases the agility and flexibility of the firm to respond to customer

needs. We adopted xxx cloud platform to encourage co-creation with customers.’ (GsC)

The rest three firms (GmB, SmD, SsH) applied cloud platform to increase the

efficiency of communication and to lower coordination cost between teams. These firms

were hoping to upgrade the existing infrastructure to be virtual friendly. For example,

SmD said

“the adoption of cloud computing accelerated the overall growth of the firm by

improving the productivity of employees, saving labour costs through elimination

wasteful manual tasks and attract talents.” (SmD)

(3) Augmented reality (AR) and Virtual reality (VR) to improve online consumer

experience

Five out of the eight cases (GmB, GsC, SsF, SsG, SsH) indicated that online

consumer experience was viewed as to be critical for virtual firms. These firms indicated

indicated that they have or had adopted either AR or VR or both in the creation of virtual

servicescape. The purpose of such attempt was to improve improve online consumer

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experience. Specifically, AR was evident in four cases (GmB, GsC, SsF, SsG); both AR

and VR were evident in two case firms (SsF and SsH).

GmB, GsC, SsF and SsG adopted AR in the pre-purchase phase of online consumer

journey to save cost, encourage consumer engagement and increase sales conversion. For

example, GmB used AR to perform virtual window measurement to generate cost

quotations. Similarly, SsH utilised AR to conduct virtual site visits to estimate budgets for

furniture, fixture, equipment and design fee structures. The owner of GmB said

“AR not only saved us so much labour cost but also quicken up the overall ordering

process. It is new and interactive. We found that even though some clients were not

interested in purchase our product. They are stilled attempted to download the Appl and

trial the function.” (GmB)

GsC, SsF and SsG applied AR into the product/service consumption phase to

improve the online customer experience. The owner of GsC said:

“as an internet company, we always aimed at customise consumer journey/experience.

Therefore, we used AR to help our users to find the right skincare products, translate

ingredients to Chinese and provide usage suggestion”. (GsC)

Case SsH used VR to showcase rendered images to cut down the time required in

the design and consultation phase with the client plus create an experience that separate

them from rivals in the online market, where Case SsF stated their business has used VR

to optimise gaming experience for their highly sophisticated players:

“we have a huge number of dedicated players in China region that willing to pay to

upgrade their gaming experience,’ ‘We have been working closely with our licensing

company to update our VR hardware, lighter weight, fewer cables and better visual and

audio quality.” (SsF)

(4) Open innovation to sense opportunities and manage unknown risks

All eight firms used open innovation to identify opportunities and manage unknown

risks (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH). Firms used open innovation to

mitigate risk and deal with the uncertainty in ever changing market conditions in China.

For example, case GmA used open innovation for sensing and seizing opportunity in the

creation of virtual servicescape. The owner stated that: “we collaborate with the e-commerce platform to optimise the internal search algorithm

in order to make up our ranking. On other social media platforms, we always do product

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collaboration with influencers and celebrity who have massive followings just to make

sure we have enough mentions in the hot topics” (GmA)

The owner of GmB, working with universities and other technology start-ups, stated

that ‘working with tech start-up opens up so many possibilities for us.’ Both SmE and

SsG relocated the firms to be physically close to the technology hub to encourage open

innovation, the owner of the SsG said: “we are very knowledgeable in our niche area, by collaborating, we actually increased

our brand awareness and shaped the firm to be more agile with changes.” (SsG)

(5) The level of importance of closing technical distance and company type.

As shown in Table 4.5, the findings suggest that brick-and-mortar firms during

virtual transformation face radical technological challenges in comparisons to new digital

native firms. Of all the eight firms, three firms perceived closing technical distance as

‘very important’ (GmB, SsF, SsH); another three firms perceived addressing technological

gaps as ‘important’ (GmA, GsC, SmE) and a further two firms indicated level of

addressing technology challenges as moderately important (SmD, SsG). Five companies

(GmA, GsC, SmD, SmE, SsG) were internet-based since inception and therefore did not

have to negotiate such a technological gap as these firms from inception were digital.

Three firms (GmB, SsF, SsH) indicated closing technical gaps as ‘very important’, these

firms are brick-and-mortar stores entering into virtual servivescape. The owner of SsH

said:

“We were like headless chicken in the beginning. The company was in chaos. We had to

hire another firm to step us through the transformation. It was just so different from

managing a physical store.’ (SsH).

Overall, four problems associated with technical distance were identified in the

creation of virtual servicescape, including: accessibility to data, lagged digital

infrastructure, poor online consumer experience and unknown technical risk. It was found

that (1) the creation and maintenance of website and social media accounts, (2) cloud

computing, (3) augmented reality (AR) and virtual reality (VR) and (4) open innovation

are critical to address the technical gap in the creation of virtual servicescape for SMEs in

China. The findings also indicate that firms (brick-and-mortar stores) outside of the

technology paradigm face more technical challenges (capabilities and resources aspects)

than the ones inside of the paradigm.

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Table 4.6 Supporting quotations for technical distance Case Code

Website, Social Media Accounts (A), Cloud computing (B), Augmented reality or Virtual reality (D), Open innovation (H)

GmA A: ‘we cannot travel this far without data.’ B: ‘cloud computing has improved overall productivity of our firm.’ H: ‘we open innovate with many different stakeholders, such as high-value customers, platforms, logistic centre and supply chain…’

GmB A: ‘that was the first thing I did when I took over the business from my father.’ B: ‘70% of our employees were made redundant under our transformation plan. We need new labour forces who understand cloud and are good at digital.’ D: ‘AR saved us so much labour cost and quicken the overall ordering process.” H: ‘working with tech start-up opens up so many possibilities for us.’

GsC A: ‘our customers are part of our product development journey. They tell us what they want, and we execute on it within couple days’ B: ‘Cloud ultimately increases the agility and flexibility of the firm to respond to customer needs. We adopted certain cloud platform to encourage co-creation with customers.’ D: ‘for internet company, the goal is always to customise experience and we used AR to help users find the right skincare products, translate ingredients to Chinese and provide usage suggestion.’ H: ‘our application was largely co-created with our customers. Their input was more important than the advice of our IT partner.’

SmD A: ‘we started from our weibo social media account, the interaction with our followers inspired us to build business’ B: ‘the adoption of cloud computing accelerated the overall growth of the firm by improving the productivity of employees, saving labour costs through elimination wasteful manual tasks.’ H: ‘our business grows together with our followers, over the years, we have also tapped into education, migration and family law areas and we cannot expand our business without collaboration.’

SmE A: ‘it took us more time to decide the social media profile of our product because a failed online profile signifies a failed business.’ B: ‘the early phase of virtualisation, the number of employees grew from five to 210 in a year, it was difficult for me to coordinate with contractor and external party. Cloud made coordination and collaboration easier.’ H: ‘marketing is not our specialty; therefore, we collaborate with external firms and contractors in this area to advance our game’

SsF A: ‘social media is no longer just a pretty face anymore. We have used it to understand our customers and their preferences to advance our service.’ B: ‘we do cloud system, but I don’t think this is a critical factor contributing to the business success’ D: ‘we have been working closely with our licensing company to update our VR hardware, lighter weight, fewer cables and better visual and audio quality.’ H: ‘as I mentioned earlier, alpha and beta testing is essential for us. We always involve our customers, engineers, and licensing company in the game development process to secure a better result.’

SsG A: ‘I don’t think we need to discuss the important of these, it is a must-have these days to survive in the new retail’ B: ‘I think every company should attempt to adopt cloud competing if they want to be future ready. The initial investment was painful, but it saves so much labour cost.’ H: ‘we are very knowledgeable in our niche area, by open innovation, we actually increased our brand awareness and shaped the firm to be more agile with changes.’

SsH A: ‘we had to create many social media accounts online to nurture the conversation strategically across different platforms to educate consumers about our service in the very beginning. B: ‘we paid for an external IT company to manage our digital infrastructure…our current design platform was designed by them and is a cloud platform… is not only user-friendly but also efficient.’ D: ‘we use VR to showcase rendered images to cut down the time required in the design and consultation phase with the client plus create an experience that separate them from rivals in the online market. H: ‘we really needed to build our reputation and awareness online, so we collaborated with a well-known online furniture company to expose our brand.’

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4.3.1.2 Dimension 2: Market distance

Market distance is used to understand how firms use the internet and technology to address

unmet consumer needs in virtual servicescape. Questions were related to: (i) identifying –

technologies or strategies firms have used to find out customers’ needs and wants (ii)

anticipating – technologies or strategies firms have used to predict sales and manage

production resources (iii) satisfying – something they have done to achieve online

customer satisfaction.

Table 4.7 Type of market capability in virtual servicescape creation

Type of market capability

Case

Iden

tifyi

ng

Ant

icip

atin

g

Satis

fyin

g

Leve

l of

impo

rtanc

e of

clo

sing

m

arke

t di

stan

ce (K

)

Cus

tom

er

serv

ice

(A)

Hig

h va

lue

cust

omer

s (B

)

Com

petit

ors

(C)

Live

-st

eam

ing

and

even

ts (D

)

Col

labo

ratio

n w

ith K

OL

(E)

Col

labo

ratio

n w

ith p

latfo

rm

(F)

Col

labo

ratio

n w

ith fa

ctor

y (G

)

Rev

iew

m

anag

emen

t (H

)

Offl

ine

pop-

up st

ores

(I)

Supp

ly c

hain

ef

ficie

ncy

(J)

GmA √ √ - √ √ √ √ √ √ √ VI

GmB √ - √ √ √ √ - - √ √ I

GsC √ √ - √ √ √ √ √ - - VI

SmD - - √ - - √ - - √ - VI

SmE √ - - √ √ √ √ √ √ - VI

SsF - √ √ √ √ √ √ √ √ - I

SsG - - - - - √ √ √ √ - VI

SsH √ √ √ √ √ √ √ √ √ - I

Aggregate 5/8 4/8 4/8 6/8 6/8 8/8 6/8 6/8 7/8 2/8

Note: Column A to column J indicates market capability from identifying to satisfying. Column K indicates the level of important of closing market gap, VI = Very important, I= Important, MI = Moderate important. Tick (√) = in-use, dashed line (-) = Non-use, bold font = Indicates very high levels of market innovation.

Evaluation of dimension two: market distance

As presented in column (K) of Table 4.7, closing market distance was viewed to be

‘very important’ in virtual servicescape by five firms (GmA, GsC, SmD, SmE, SsG) and

‘important’ in three firms (GmB, SsF, SsH). Column A to D were solutions used by case

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firms for identifying consumer needs. Six firms (GmA, GmB, GsC, SmE, SsF, SsH)

signified that online live-streaming and virtual events (D) were the go-to option for them

to identify consumer needs. For example, two firms (GmA, GsC and SsF) used live

streaming to test product viability in the product development phase, one firm (GmB) used

live streaming prior to product launch to increase exposure, and the others (SmE, SsH)

paid live streamer to feature product education to trigger consumer needs. Five firms

(GmA, GmB, GsC, SmE, SsH) viewed the analysis of online customer service script (A)

to be the second most important solution for closing market distance. For example, these

firms collected live chat script either on a daily or weekly basis to analyse consumer needs.

Some firms performed the analysis using artificial intelligence and the others via manual

information processing. Column E to G were solutions related to anticipation on consumer

demands. It was recognised by eight firms that collaboration with the platform was the

key to anticipate sales and manage manufacturing resources. Working with the platforms

means exclusive assess to knowledge. Column H to J were solutions used by case firms

to address consumer satisfaction. Offline pop-up store (I) was highlighted by seven firms

(GmA, GmB, SmD, SmE, SsF, SsG, SsH), followed by review management (H), six firms

(GmA, GsC, SmE, SsF, SsG, SsH).

Evaluation of market distance

The data presents three key findings of market distance: (1) identifying consumer

needs and wants by live streaming and online events, (2) anticipating sales and resource

management by working with platform, (3) achieving consumer satisfaction by offline

pop-up stores.

(1) Identifying consumer needs and wants by live streaming and online events

A total of six firms (GmA, GmB, GsC, SmE, SsF, SsH) signified that online live-

streaming events (D) was the go-to option for identify consumer needs in virtual

environment. Two type of needs emerged: product needs and service needs. Goods-

oriented firms GmA, GmB and GsC reported actively using live streaming platforms

almost on daily basis to assess consumer product needs and create business opportunity.

The owner of GmA stated:

“we launched live-steaming a year ago. We have established live streaming routine with

our customers: Monday is fashion preview and pre-sale, Tuesday is fashion modelling

with the goal to reach new customers, Wednesday is weekly special, Thursday is for

logistic updates and chitchatting. Our product design team talks to our customers via

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live streaming to understand what they want. Live streaming is currently the most

important content creation for our marketing department. 25% of the sales came from

live streaming.” (GmA)

GmB highlight that the role of live streaming in creating business opportunities.

The CEO of GmB stated:

“we will not be able to grow this fast and strong without listening to our audience online.

Live streaming is a perfect platform for us to listen and engage. We started from selling

just curtains online, we show them how to choose curtain and other soft decoration

techniques. Turned out, our audience also liked the furniture and bed sheets we featured

in live streaming. You know, two weeks later, we started to sell bedsheets with a small

margin, we received more than 10,000 orders in two hours. Small margin did not seem

so small anymore.” (GmB)

Service oriented firms SmE, SsF and SsH used live streaming on weekly basis,

which is less frequently than goods-oriented firms. Service firms stated that they used live

streaming as an information platform to educate their consumers to increase their needs.

All three firms stated that unlike goods-oriented firms, they do not host live steaming

themselves as they do not have the marketing capacity. SmE commented:

“we pay professional live streamers to feature our experience on their channel because

online customers would trust them more than us. Live streamers in China invest to build

a trusting relationship with their viewers. The higher the trust rating, the easier for the

streamer to sell. We also work with leading education live streaming platforms to

advertise our product.” (SmE)

Similarly, SsH pays streamers to feature online interior design service on their

channel, however, the owner added that:

“the downside of not developing its own live streaming capability is that the firm cannot

respond to consumer needs spontaneously and there is always a lag to see the effect

kicking in. Therefore, our marketing department will be aiming to develop brand live-

streaming skills in the next two years.” (SsH)

Same issue was also being raised by SsF, the firm was in the process of cultivating

their own influencers. They had launched a campaign with a leading live streaming site

for online gaming, handpicked five gaming key opinion leaders who matched the image

of the organisation to develop gaming content and expand brand reach.

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(2) Anticipating sales and resource management by working with platforms

The data indicated that all firms in this research displayed high level of engagement

behaviours with third parties to predict sales and manage production resources. Not only

goods-oriented but also service-oriented firms highlighted the importance of working with

platform. The most emphasised advantage by medium sized firms was related to product

or service ranking optimisation. Each platform has its own algorithm that influencing

product search rankings, by working with the platform, they would have unique access to

knowledge regarding to the firm’s current position and therefore, develop strategies to

optimise ranking position. The owner of GmA stated:

“do not think platform is just an online environment. Think the platform as a country.

(Platform) has 299 millions of daily active users. By working with them, I can leverage

their advantage to scale up my business.” (GmA)

Some firms (GmA and GmB) also highlighted working with platform allows them

to capture emerging consumer trend earlier than others. The owner of GmB commented

that:

“we have to be agile to claim market share. Therefore, to be able to identify consumer

trends faster than our competitors will improve long-term viability our business.” (GmB)

Another advantage being mentioned was order fulfilment by the platform centre

(GmA, GsC, SmE). SmE stated that:

“our fulfilment capability is considerably weak. Let the platform take over this process

means that the platform will ensure the highest quality shopping experience and

aftercare service. We also found out that our customer conversation rate is higher when

we partner with them (platform).” (SmE)

Small sized business (GsC, SsF, SsG, SsH) reported working with platforms helps

them to gain access to first-hand knowledge and resources that could be helpful to

overcome business hurdles but costly. The owner of SsH stated that:

“we used platform to kick start our virtual servicescape transformation. I needed their

expertise, capabilities and resources to build a solid foundation for my virtual business.

It was an expensive set up, but it was the right thing to do.” (SsH)

Similarly, SsG highlighted that working with platforms effective, yet costly:

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“currently we only work with platforms for our clients. It is definitely more costly but the

amount of information and data the platform can provide us is rigorous and quality.’

(SsG)

Interestingly, small business (GsC, SsH) also developed solutions to address the

limitation of cost. SsH highlighted that small business has limited data processing

capability. Therefore, small businesses are more strategic with paying for data. GsC said

that:

“We are only a small start-up firm and we could not afford to access platform resource

all the time. We closely follow the movement of industry leaders and their competitors

on the platform. Currently, we are looking at about 45 skincare leading brands. When

you only follow one competitor brand, it is hard to see the trend but when you follow 45

brands and 14 of them are changing the way they describe product information. I know

it is time for us to catch up.” (GsC)

Overall, medium sized firms working with platforms to increase access to new

knowledge and opportunities to perform mid-to-long run forecasts, which ultimately

contributes to the growth and the development of the firm. However, small business’s

focus is more short-term oriented on problem solving.

(3) Achieving consumer satisfaction by offline pop-up stores.

Seven out of eight case firms in this research identified offline pop-up store to be

important in achieving online consumer satisfaction (GmA, GmB, SmD, SmE, SsF, SsG,

SsH). GsC was the only firm did not adopt offline pop-up store but expressed that the

brand would consider pop-up store in its future plan. The word ‘new retail’ appeared

repeatedly in the interviews. All firms highlighted that the future of online shopping

experience is inseparable from physical stores. For example, the CEO of GmA said:

‘moving towards, pop-up store will be an essential extension of our online

business.’ (GmA)

Similarly, Case firm SsH added that offline pop-pup store should not be a simple

new retail channel but rather about a new experience. SmB also indicated offline pop-up

stores are a strategic advantage of their business as the perceived risk of purchasing

products is largely reduced:

“we are redesigning the current service process to be more inclusive with offline pop-

up stores. This is a strategic move, as I believe offline pop-up will become a critical point

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of connecting virtual and physical. If we can pull this off, I think offline pop-up stores

will contribute significantly to sales.” (GmA)

Regardless service-oriented or goods-oriented firms, offline location and store

design of the pop-up store was of strategic importance for attracting and retaining

customers. For example, a triangle rule was applied by GmA:

“the location of the store based on two post codes of frequent purchase areas and the

shopping centre with the most foot traffic.” (GmA)

GmB redesigned their offline pop-up store to accommodate the characteristics of

online shoppers, as online shoppers are often very visual:

“social media factor was considered into redesigning our store – every single corner of

the store needs to be instagrammable.”’ (GmB)

Both SmE and SsH relocated to be closer to its major consumer group. This benefits

the company in increasing brand image and capture sales. SsH commented that

‘the new office location was purchased in the busiest location of Guangzhou to simulate

online consumer drop-in experience.’ (SsH)

The second theme emerged from the pop-up store was timing. All virtual firms

opened offline pop-up store during holiday and sale seasons. Case firm SmE adopted

offline pop-up store during school holiday in a local library to increase digital brand reach

and awareness:

“kids love our product so much, so our pop-up store was set up in library during school

holiday. We were hopping our potential target audience would bring the product

awareness to their parents.” (SmE)

Social media firm SmD promoted their social media account and service during

orientation weeks and holiday seasons in airports to increase follows. The owner stated

that offline pop-up stores was one of the most effective method to gain new and quality

followers. In virtual servicescape, the quality of followers directly influences the

effectiveness of campaign performance.

Another theme emerged from the interview was functionality of the pop-up store.

All case firms indicated that pop-up store is to improve consumer shopping experience in

three ways: interactive, educational and personalisation. Mixed reality gaming SsF used

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pop-up store as a teaser to attract potential audience to its flag store. GmA commented on

integrated and personalised experience in their pop-up store:

“we have fashion associates armed with iPad in our pop-up stores. When a customer

walks in our store, she will be advised to scan a QR code. Our system will then match

this customer to one of our fashion consultants according to her age, preferences and

gender. If the customer had a great experience with this consultant, she can star this

consultant for future. All her enquires from product availability to delivery to refund will

be handled by the same consultant for a customised experience.” (GmA)

SmE described their offline pop-up experience to be unique and exclusive. Apart

from product demos, the business also provided on-site tutorial sessions teaching kids and

adults how to film, create music and write creatively using their devices.

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Table 4.8 Supporting quotations for market distance Case Code

Live-steaming and events (D), Collaboration with platform (F), Offline pop-up stores(I)

GmA D: ‘we launched live-steaming a year ago. We have established live streaming routine with our customers: Monday is fashion preview and pre-sale, Tuesday is fashion modelling with the goal to reach new customers, Wednesday is weekly special, Thursday is for logistic updates and chitchatting. Our product design team talks to our customers via live streaming to understand what they want. Live streaming is currently the most important content creation for our marketing department. 25% of the sales came from live streaming’ F: ‘do not think platform is just an online environment. Think the platform as a country. (Platform) has 299 millions of daily active users. By working with them, I can leverage their advantage to scale up my business.’ I: ‘we have fashion associates armed with iPad in our pop-up stores. When a customer walks in our store, she will be advised to scan a QR code. Our system will then match this customer to one of our fashion consultants according to her age, preferences and gender. If the customer had a great experience with this consultant, she can star this consultant for future. All her enquires from product availability to delivery to refund will be handled by the same consultant for a customised experience’

GmB D: ‘we will not be able to grow this fast and strong without listening to our audience online. Live streaming is a perfect platform for us to listen and engage. We started from selling just curtains online, we show them how to choose curtain and other soft decoration techniques. Turned out, our audience also liked the furniture and bed sheets we featured in live streaming. You know, two weeks later, we started to sell bedsheets with a small margin, we received more than 10,000 orders in two hours. Small margin did not seem so small anymore.’ F: ‘We have to be agile to claim market share. Therefore, to be able to identify consumer trends faster than our competitors will improve long-term viability our business.’ I: ‘social media factor was considered into redesigning our store – every single corner of the store needs to be instagrammable.’

GsC D: ‘we just started live-streaming two months ago. It is a lot of work for a small firm. We are still at the stage creating good contents to attract followers but we do find live-streaming helps sales.’ F: ‘We are only a small start-up firm and we could not afford to access platform resource all the time. We closely follow the movement of industry leaders and their competitors on the platform. Currently, we are looking at about 45 skincare leading brands. When you only follow one competitor brand, it is hard to see the trend but when you follow 45 brands and 14 of them are changing the way they describe product information. I know it is time for us to catch up.’

SmD I: ‘followers are directly associated to our campaign performance. It is getting more and more expensive to attract followers, so we have to be smart about it and so far offline was one of the most effective method to gain new followers’

SmE D: ‘We pay professional live streamers to feature our experience on their channel because online customers would trust them more than us. Live streamers in China invest to build a trusting relationship with their viewers. The higher the trust rating, the easier for the streamer to sell. We also work with leading education live streaming platforms to advertise our product.’ F: ‘our fulfilment capability is considerably weak. Let the platform take over this process means that the platform will ensure the highest quality shopping experience and aftercare service. We also found out that our customer conversation rate is higher when we partner with them (platform).’ I: ‘kids love our product so much, so our pop-up store was set up in library during school holiday. We were hopping our potential target audience would bring the product awareness to their parents.’

SsF D: ‘we are currently in the process of cultivating our own brand live streamers with a gaming site.’ I: ‘pop-up store acts as a teaser to attract potential audience to our flag store.’

SsG D: - F: ‘currently we only work with platforms for our clients. It is definitely more costly but the amount of information and data the platform can provide us is rigorous and quality.’

SsH D: ‘the downside of not developing its own live streaming capability is that the firm cannot respond to consumer needs spontaneously and there is always a lag to see the effect kicking in. Therefore, our marketing department will be aiming to develop brand live-streaming skills in the next two years.’ F: ‘we used platform to kick start our virtual servicescape transformation. I needed their expertise, capabilities and resources to build a solid foundation for my virtual business. It was an expensive set up, but it was the right thing to do’ I: ‘the new office location was purchased in the busiest location of Guangzhou to simulate online consumer drop-in experience.’

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4.3.1.3 Dimension 3: Business model distance

The last concept to be addressed in RQ 1 is the business model dimensions. This

dimension is used to understand how a firm actively aligns business model to a changing

environment or innovate to disrupt market conditions (Saebi, Lien & Foss, 2017; Teece,

2017). All firms were asked questions related to business model transitions: (i) drivers of

business model adaption or innovation, (ii) difficulties of managing business model

adaption or innovation (iii) facilitators of business model adaptation or innovation.

Table 4.9 Type of business model adaption capability in virtual servicescape creation Type of business model adaption

Case

Driv

ers o

f bu

sine

ss

mod

el

adap

tion

and

inno

vatio

n

Diff

icul

ties

in m

anag

ing

busi

ness

m

odel

ad

aptio

n an

d in

nova

tion

Faci

litat

ors

of b

usin

ess

mod

el

adap

tatio

n an

d in

nova

tion

Leve

l of

impo

rtanc

e of

clo

sing

bu

sine

ss

mod

el

dist

ance

(K)

Con

sum

er

need

s (A

)

Tech

nolo

gy

(B)

Reg

ulat

ion

(C)

Supp

liers

(D)

Low

s kill

&

know

ledg

e (E

)

Lagg

ed

digi

tal

infra

stru

ctur

e (F

) U

nsup

porti

ve

com

pany

cu

lture

(G)

Lear

ning

ac

tiviti

es (H

)

Com

pany

cu

lture

(I)

Supp

ly c

hain

(J

)

GmA √ √ √ - √ - - √ - √ MI

GmB √ √ √ - √ √ √ √ - √ MI

GsC √ - √ √ √ - - √ - √ MI

SmD √ - √ √ √ √ - √ √ - I

SmE √ - √ - √ √ - √ √ - MI

SsF √ √ √ √ - √ - √ √ - MI

SsG √ - √ - - - √ √ √ - I

SsH √ √ √ √ √ √ √ √ √ - MI

Aggregate 8/8 4/8 8/8 4/8 6/8 5/8 3/8 8/8 5/8 3/8

Note: Column A to column D indicates drivers of business model adaption. Column E to column G indicates difficulties of managing business model adaption. Column H to column J indicates facilitators of business model. Tick (√) = in-use, dashed line (-) = Non-use. Column K indicates the level of important of closing business model gap, VI = Very important, I= Important, MI = Moderate important.

Evaluation of dimension three: business model distance

As presented in column (K) of Table 4.9, closing business model distance was

viewed to be ‘moderately important’ in virtual servicescape by six firms (GmA, GmB,

GsC, SmE, SsF, SsH) and ‘important’ in three firms (GmB, SsF, SsH). Column A to D

highlights four main drivers for these firms for business model adaption and innovation.

All firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH) signified that consumer needs

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(A) and regulations (C) were the change drivers to their organisations. Column E to

column G presents the difficulties of managing business model adaption and innovation.

Six out of eight firms (GmA, GmB, GsC, SmE, SsH) viewed the lack of technical skills

and knowledge in virtual servicescape as the major barrier for closing the business model

gap. Column H to column J presents three facilitators for business model adaption and

innovation. Learning activity was actively pursued by all eight firms in addressing the

difficulties.

Evaluation of business model distance

The following section highlights three key findings in relation to business model

adaptation and innovation. Namely: (1) consumer needs and regulation to drive business

model adaption and innovation; (2) the lack of technical skills and knowledge of virtual

servicescape operation as the primary barrier for managing business model adaption and

innovation; (3) embedded learning activities to facilitate the business model transitions.

(1) Consumer needs and regulation to drive business model adaption and innovation

All eight firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH) in this research

indicated that consumer needs and regulation changes were the two main drivers that lead

to the revision of existing business model. One quotation by the owner of SsH

demonstrated this:

“I always tell my employees two follows: follow the regulations to survive and follow the

consumer needs to thrive.” (SsH)

This was unsurprising, given the sample of data collection was Chinese firms. No

firms were frustrated with the regulatory environment in China. In fact, all firms saw the

China’s regulatory environment optimistically as an opportunity to grow its market share.

“Conducting business in China is like playing an elimination game. If the firm cannot be

flexible with the environment, the firm is out. For us, this is a great news because one

more competitor is gone” (GmB)

Two firms (SmE, SsF) leveraging on exclusive overseas intellectual properties

claimed that they respect the rule of law in China, as without the support of government,

the business would not exist; ‘without the regulation supports, we were not be able to

grow at this speed. It is a win-win situation for overseas companies too.’ China’s

regulatory environment largely shapes its market and the way business is conducted.

Businesses are forced to be creative and adaptive in the market through continuous

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resources and capabilities orchestration in order to survive and thrive. Therefore, it seems

that dynamic capability is already rooted since the establishment of virtual business. The

evolvement of business model should always foster innovation. GmA explained:

“A future proof business model in China is the one that engages with the government

and adjusts upon changes in a fast and efficient operational manner.” (GmA)

It is also found that some business sectors are more sensitive to environmental

changes than the others. Therefore, the sustainability of business model needs to be

industry specific and engineered to reflex response to environmental changes. This was

highlighted by business owner of SmD:

“some sectors are likely to be affected by regulatory changes, but some are not. We always stay

close to our friends to access to insider tips.” (SmD)

All eight firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH) had stressed there

were four secret ingredients when it comes to business model innovation: customer,

product, service and supply chain. Consumer needs shaped the formation of value

proposition, which ultimate impacted the product feature, supplementary services and

supply chain to deliver the value proposition that satisfies customer needs. For example,

GsC stressed the importance of customer needs by stating:

“a business will not be able to head in the right direction without recognising consumer needs.”

GmB attempted various strategies to resonate with its consumers on a deeper level

to reach a new degree of brand intimacy and explore value propositions of targeted

customer segments. The firm committed a significant investment on social listening to

understand consumer perception of the brand and leveraging on the information, the firm

incubated a number of influencers that appeal to the customer segment to drive

sales:“consumers are the most precious resources a firm can leverage.”

Mixed reality gaming company also highlighted the importance of customers in

business model adaption, SsF:

“a good social conversation experience with one of our consumers allows us to create a

positive connection. The ultimate goal of creating connection (with consumers) is to

cultivate a group of highly engaged customers who act as brand ambassador. They (the

connections) are imperative to maintain and grow market share in virtual servicescape.”

(SsF)

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Further, identifying customer needs was used interchangeably with sensing

opportunity and threat by case firms in this research. For example, GmB explained,

‘I felt like the ability of being able to meet their needs is already a competitive advantage

of our business.” (GmB)

(2) Lack of technical skills and knowledge of virtual servicescape operation as the

primary barrier of managing business model adaption and innovation

The lack of technical skills and knowledge of virtual servicescape was recognised

as the primary barrier in updating an existing business model in virtual servicescape by

six case firms (GmA, GmB, GsC, SmD, SmE, SsH) in this research. Other difficulties

including company culture not having appropriate support for innovation (GmB, SsG, SsH)

and lagged digital infrastructure (GmB, SmD, SmE, SsF, SsH) that appeared in several

interviews. A lack of technological knowledge from leaders created challenges for

adaption of business modes. For example, case firm GmB noted that:

“my father had a very pessimistic attitude towards technologies. He refused to embrace

it for at least two or three years. By the time when I took over the business, we were at a

very passive state – waiting for customers to walk in the store.” (GmB)

Similarly, case firm SsH, said that:

“my business instincts told me I should start investigating how to use technology to

improve workplace productivity. I thought it would be fine to pay someone to lead the

virtual transformation. Turned out, my technological ignorance costed the business a

fortunate. I felt like the whole company was working for the system than the other way

around. It was after two digital infrastructure failures, I decided to learn technologies

myself. It sounded very vague but conducting business in digital world is different from

physical businesses.” (SsH)

Case firm GmA emphasised the importance of digitally minded leadership in

cultivating business model innovation:

“business logic is completely different from IT logic. When we decided to upgrade our

digital infrastructure, no tech firms had the system we needed. I negotiated with the tech

firm that we would use their systems under the condition they offer us exclusive support

to modify system over the period of three years.” (GmA)

When asked to define digitally minded leadership, the owner of GsC said:

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“a leader would say let us invest more money in digital marketing. A digitally minded

leader would say let us try to digitalise consumer skin care application process, see if

we could find any opportunity to capitalise. Can we convert our consumer habits from

single purchase to continuous subscription? We need to leverage on digital technologies

to make money.” (GsC)

Furthermore, having digitally inexperienced frontline staff impedes the virtual

transformation especially in the later transformation process. The business owner of GmB

said

“our business reputation suffered in the beginning when we first entered into virtual

servceiscape. My dad persisted to keep our long-term employees who he hired a decade

ago. They were the loveliest customer service staff in a physical retail store where face-

to-face communication was required. They found virtual selling extremely challenging

as they could not see them, and they were slow typers. They were slow with the system

too. Their lack of understanding in logistic and supply chain also generated many

shipment problems. All of these lead to a decrease in online consulting satisfaction,

which ultimately impacted our sales and reputation online.’ (GmB)

A similar experience happened with case SsH, the owner said ‘many firms in the

architectural design industry always try to avoid fresh graduates but he disagrees.

University graduates are fast and quick in adaptation.’ Therefore, based on the foregoing

line of evidence, it seems reasonable to suggest that the digital skillsets of frontline staff

is important to achieve business model innovation.

(3) Embedded learning activities to facilitate the business model transitions

Fundamentally all firms emphasised learning activity as a critical component in the

innovation stage of the process. All firms highlighted there were resource given to certain

level of staff for professional development. For example, the founder of GmA noted:

“we fly our design team and marketing team to fashion weeks every single season in

different countries for inspiration and content production, without being exposed to the

fashion culture and environment, they will not be motivated to change.” (GnA)

The social media firm SmD adopted google education for their staff in mainland

China, cultural learning was critical for the success of our business. The reason why we

could success was that we have taken cultural education carefully. Without understanding

the local culture, the editors will not be able to reproduce contents that resonate with local

consumers:

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“we wanted to keep the cost down, so we relocated to an university cluster in China to

access more affordable talents. It was extremely hard to recreate culture, so we

subscribed VPN, education tools and newspaper for them so that they can fully explore

overseas environment.” (SmD)

Such learning approach whereby technologies helps to facilitate customer and

market knowledge assisted the firm in addressing market capability gaps during the

transformation process. Asymmetrical information access is prevalent within China as

quality information is hard to gain so firms have to be creative in how they build

knowledge base. For example, owner of SsG mentioned that:

“I love hiring overseas graduates because they always bring fresh insights or

technologies back home. I think people from overseas are really good at creating

algorithms or applications, but they don’t know how to capitalise on it. For example. We

are the first firm in China adopted HTML5 banner ad and animation and interactive

content to Wechat.’(SsC)

Case firm SmE and SmD participated in career fairs in Canada and Australia to

access overseas talents. Case firm GmA co-created a customised learning system with a

third-party IT firm to improve learning experience for internal staff.

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Table 4.10 Supporting quotations for business model distance Case Consumer needs (A); Regulation (C); Lack of technical skill & knowledge (E); Learning activities (H)

GmA A & C: ‘A future proof business model in China is the one that engages with the government and adjust upon changes in a fast and efficient operation manner.’ E: ‘business logic is completely different from IT logic. When we decided to upgrade our digital infrastructure, no tech firms had the system we needed. I negotiated with the tech firm that we would use their systems under the condition they offer us exclusive support to modify system over the period of three years.’ H: ‘we fly our design team and marketing team to fashion weeks every single season in different countries for inspiration and content production, without being exposed to the fashion culture and environment, they will not be motivated to change’; we have created a learning platform available for all staff.’

GmB A: ‘attempted various strategies to resonate with its consumers on a deeper level to reach a new degree of brand intimacy and explore value propositions of targeted customer segments. We committed a significant investment on social listening to understand consumer perception of the brand and leveraging on the information, the firm incubated a number of influencers that appeal to the customer segment to drive sales; consumers are the most precious resources a firm can leverage.’ C: ‘Conducting business in China is like playing an elimination game. If the firm cannot be flexible with the environment, the firm is out. For us, this is a great news because one more competitor is gone; Conducting business in China is like playing an elimination game. If the firm cannot be flexible with the environment, the firm is out. For us, this is a great news because one more competitor is gone!’ E: ‘our business reputation suffered in the beginning when we first entered into virtual servceiscape. My dad persisted to keep our long-term employees who he hired a decade ago. They were the loveliest customer service staff in a physical retail store where face-to-face communication was required. They found virtual selling extremely challenging as they could not see them, and they were slow typers. They were slow with the system too. Their lack of understanding in logistic and supply chain also generated many shipment problems. All of these lead to a decrease in online consulting satisfaction, which ultimately impacted our sales and reputation online’

GsC A: ‘a business will not be able to head in the right direction without recognising consumer needs.’ E: ‘a leader would say let us put more money in digital marketing. A digitally minded leader would say let us digitalise the consumer skin care process by introducing an application that requires continuous subscription. It is a tech-way to make money’

SmD C: ‘some sectors are likely to be affected by regulatory changes, but some are not.’ H: ‘we wanted to keep the cost down, so we relocated to university cluster in China to access more affordable talents. It was extremely hard to recreate culture, so we subscribed VPN, education tools and newspaper for them so that they can fully explore overseas environment.’; ‘we are quite actively in career fair in Australia’

SmE C: ‘our reliance on government was heavy since establishment.’ H: ‘We have a team of engineers from Canada.’

SsF A: ‘a good social conversation experience with one of our consumers allows us to create a positive connection. The ultimate goal of creating connection (with consumers) is to cultivate a group of highly engaged customers who act as brand ambassador. They (the connections) are imperative to maintain and grow market share in virtual servicescape.’ C: ‘without the regulation supports, we were not be able to grow at this speed. It is a win-win situation for overseas companies too.’

SsG H: ‘I love hiring overseas graduates because they always bring fresh insights or technologies back home. I think people from overseas are really good at creating algorithms or applications, but they don’t know how to capitalise on it. For example. We are the first firm in China adopted HTML5 banner ad and animation and interactive content to Wechat.’

SsH A & C: ‘I always tell my employees two follows: follow the regulations to survive and follow the consumer needs to thrive.; I always tell my employees two follows: follow the regulations to survive and follow the consumer needs to thrive’ E: ‘my business instincts told me I should start investigating how to use technology to improve workplace productivity. I thought it would be fine to pay someone to lead the virtual transformation. Turned out, my technological ignorance costed the business a fortunate. I felt like the whole company was working for the system than the other way around. It was after two digital infrastructure failures, I decided to learn technologies myself. It sounded very vague but conducting business in digital world is different from physical businesses; many firms in the architectural design industry always try to avoid fresh graduates but he disagrees. University graduates are fast and quick in adaptation.’

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4.4 Research Question Two

Table 4.11 presents the research question two, corresponding question from

interview protocol and the research focus of each question designed to answer how sensing,

seizing and transforming are being managed to achieve organisational agility in the

creation of virtual servicescape. Secondary sources including websites, social media and

reviews of virtual firms were also drawn upon. Research question two incorporates three

higher order capabilities for firms to create and sustain competitive advantages in virtual

servicescape: dimension 1: sensing capability; dimension 2: seizing capability and

dimension 3: transforming capability (Teece, 2018a).

Table 4.11 Cross-case analysis: research question two and key data sources Research Question Corresponding question Research focus

RQ 2: How sensing, seizing and transforming are being managed to achieve organisational agility in the creation of virtual servicescape?

Q4, Q7 and Q8

Competitive advantage of the firm and dynamic capabilities strategies over the years

Q5, Q7 and Q8 Sensing and seizing strategies

Q7, Q9 and Q10 Managerial orchestration and transforming strategies

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4.4.1 Dimension One: Sensing capability

The first capability to be addressed was sensing capability. As a higher-order

capability, all firms were asked to identify (i) resources and capabilities the business had

done to build sensing capability for opportunity discovery and creation. Their responses

were summarised in figure 4.12.

Figure 4.12 Building sensing capabilities

As shown in 4.12, a series of factors pivotal for building sensing capabilities were

identified by case firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH). The process of

sensing is realised through two steps: accessing information and the ability to sense

opportunities (Teece, 2007). In virtual servicescape, the mechanism of sensing

opportunity is harnessing the wisdom of crowds by building a decentralised organisation

structure. ‘Sensing is very much a task for everyone involved in our business from

customer to design to supply chain’ said by owner of GmA. Accessing information is

equally important as sensing opportunity. Almost all firms emphasised information

processing capabilities were essential in sales and marketing as these were critically

important. For example, The CEO of GsC pointed out that there is a distance between

information and opportunity:“we have a beauty consultant who has years of experience in

skincare and cosmetics industry. She is really good at spotting needs and part of her job

Building sensing

capability

Customer -engagement capability

Competitor -monitoring capability

Suppliers - on demand

manufacturing capability

Sales & Marketing -

info processing capability

R&D -knowledge

learning capability

IT - algorithem and analytical

capability

CEO -networking capability

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is to update me with the changes she sees. Beneath needs is an opportunity to

commercialise. With her information, I created an excel sheet listing technological needs

in cosmetics and skincare industry but only identified three commercialising

opportunities.” The quality of online information played a critical role in influencing the

opportunity for virtual firms. Five firms (GmA, GmB, GsC, SmD, SsF) were relying on

feedback from customers and suppliers to identify opportunity in virtual servicescape.

“We always prioritise information coming from customer reviews and supplier. We have

rewarding system in place to encourage to have their say” ( GmA). Four firms (SmE, SsF,

SsG, SsH) invested heavily on nurturing CEO’s networking capability. For example, the

co-owner of SsF, came from a background of online gaming and worked in a state-run

organisation in the area of press and publication, relied on traditional guanxi networks to

facilitate access to information for opportunity recognition. Three firms (GmA, SmD, SsG)

relocated to innovation and technology zones to speed up the sensing process by

monitoring competitor’s movement: “By staying in the cluster, we can anticipate

competitor’s change faster, which ultimately quickens business virtual transformation

such as identifying new market or service upgrade” SmD also highlighted the importance

of strategic location in a volatile environment in terms of strengthening innovation

capabilities: “we rely upon a favoured location in the cluster so that we establish stronger

external ties that helps us to locate information, stimulate innovation and build resources

over time.” Analytical capability also emerged as a theme from the interviews. Seven firms

invested heavily in advancing the firm’s capability in predictive analytics. For example,

“I often say we are more of a data company then a fashion label. We use data scientifically

to predict fashion trend for product design and development”. The owner of SmE

indicated ‘analytical skills is the superpower for virtual business. We only hire people who

worked in the internet and IT industry to fill this skillset gap.’ The CEO of SsH noted that

‘data gives us insights to optimise business performance.’

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4.4.2 Dimension Two: Seizing capability

The second capability to be addressed was seizing capabilities. As a higher-order

capability, all firms were asked to identify resources and capabilities that the business used

to build seizing capability for opportunity exploitation. Their responses were summarised

in figure 4.13.

Figure 4.13 Building seizing capabilities

As shown in 4.13, a series of capabilities pivotal for building seizing capabilities

were identified by case firms (GmA, GmB, GsC, SmD, SmE, SsF, SsG, SsH). Similar to

sensing, the process of seizing opportunity is not just realised opportunities through senior

management identifying but taking advantage of opportunity across the entire corporate

hierarchy. In virtual servicescape, open innovation or crowd sourcing was frequently

adopted by all case firms to build its seizing capability. For example, case firm GmA

engaged with high value customers in clothing design phase to impact product

development; “including high value customers in our design phase allows us to propel

our brand success which is important for SEO ranking in virtual market.” The same firm

also worked with international renowned fashion designers to create capsule collections

to strengthen its brand equity in virtual servicescape; ‘brand equity is another asset we

are trying to build over time.’ Case firm GsC handpicked 250 highly engaging members

in user communities to co-determine which features should be developed for the mobile

Building seizing

capability

Customer -co-creation capability

Transformation team -

coordination capability

HR - talent managment capability

Sales & Marketing -

market research

capability

R&D -innovation capability

IT - aligning digital

infrastrcuture and system

CEO -leadership capability

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app and mini program; “it is rare for a product-oriented company to tap into service.

However, I think this will be the future. You will need to excel both to sustain loyalty from

your customers. The capability of business should be engineered to fulfil customer needs.”

Case firm SmE worked with foreign firms in algorithm developing and system

optimisation to extend its seizing capabilities; ‘technical capability in our Canada office

is more competent than in China. We rely on them to perform system optimisation based

on customer feedback we gathered in China.’ Three firms had set up coordination teams

to assist knowledge transfer during virtual transformation. For example, GmA said: “our

coordination team, I called them elite team, involves top performing employees from each

department of our organisation. Every team member is an expert in their fields. We gather

them together in a team to problem solving transformation bumps and monitor innovation

progression.” The owner of GmB also noted that ‘we do have a team of three including

me monitoring the entire movement of our firm. We hold meetings with different

department throughout the week to understand their position and how can we help. We

also work closely with our customers and suppliers to explore the possibility to optimise

service and product.’ Further, talent management capability was perceived to be essential

as human resource was pivotal for putting the transformation team together; ‘I used to

think that HR is not that important, but I was wrong. Their capability critically determines

the speed of or even the success of the transformation’ concluded by the owner of GmA.

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4.4.3 Dimension Three: Transforming capability

The third capability to be addressed was transforming capability. To understand this

higher-order capability, all firms were asked to identify resources and capabilities the

business had done to build transforming capability to sustain competitive advantage in

continually shifting business environments. Their responses were summarised in figure

4.14.

Figure 4.14 Building transforming capabilities

As shown in 4.13, six capabilities were identified by case firms (GmA, GmB, GsC,

SmD, SmE, SsF, SsG, SsH) in relation to building transformation capability. The findings

from the data indicated that a transforming capability as a firm level capability is critical

to sustain the competitive advantage of the firm. For example, GmA explained that the

transforming capability is the key to sustain competitive advantage; “our competitive

advantage is the artificial intelligence algorithm we have built in the past five years. We

make beautiful clothes based on our algorithm. We move along with our algorithm.” Case

firm SsH commented ‘our competitive advantage is not just that we have a competent and

capable team of designers but also how effective we respond to changes in our routines.’

In the year of 2018, SsH signed nine development projects with state governments

whereas the average deal number for a similar company is between three and four projects;

‘here are the business cards, portal platforms and websites we tailor made for all the

projects we participated just in 2018. We adjust the way we work every time when we got

a new partner. Normal companies cannot handle this, but we can.’ Unlike sensing and

Building transformi

ng capability

Adaption capability

Entrepreneuril

capability

Knowledge

absorption capability

Innovation

capability

Relationship

capability

Political influcing capability

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seizing capabilities, transforming capability can only be built internally and sustained via

decentralised organisational structure. All firms indicated that an absolute hierarchy style

of commanding in leadership impedes the overall evolutionary and effectiveness of the

firm. For example, 80/20 meeting style was introduced by case firm GmB; ‘the 80/20

means 80% of the conversation dialogue is contributed by middle and low level of

employees, 20% by senior leaders. Listening is very important for transforming.’ Case

firm SmD added, ‘I always tell my employees that we are a family. Regardless what

happened, it is us as a team against the world. We have team building dinners and

activities weekly to bond.’ A decentralised organisation structure lays a solid foundation

for firms to facilitate capability building required for transforming. Knowledge absorption

capability, in particular tacit knowledge, was regarded to be critical in driving organisation

innovation. For instance, case firm SmD, SmE and SsH chaired seminars and conferences

annually to yield up major gaps of knowledge in their fields; ‘learning allows us to reflect

upon how we can develop a better solution for the problem we are facing. It is a valuable

process in building our dynamic capability.’ The power and influence of knowledge in

shaping innovation capabilities and adaption capability was also highlighted by these case

firms; ‘learning is a routine in our organisation. We have a very positive environment

prompting learning. Such environment helps to form knowledge transfer and

communication relationship between employees.’ Political influencing and

entrepreneurial capabilities that would enable the building of transforming capabilities,

were also highlighted as critical by senior leadership, such as CEO. CEOs of case firm

GmA and GmB leveraged on their personal political skills and networking to gain external

resources to shape the development landscape of the firm. For instance, GmA was

recognised as top five influential virtual businesses by the local government, received over

million dollars funding to lead the development of artificial intelligence programs.

4.5 Conclusions

Included in this chapter is the findings from the data of within-case and cross-case

analysis. The data analysis procedures incorporated literal replications and theoretical

replications to ensure data was treated fairly (Yin, 1996; Yin, 2009). Three themes were

presented based on the evidence from research question one: (i) technical distance through

varies intensity of enterprise technologies; (ii) market distance via identifying consumer

needs and wants by live streaming and online events; anticipating sales and resource

management by working with platform, achieving consumer satisfaction by offline pop-up

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stores and (iii) business model gap filling through open innovation and embedded learning

activities. Relating to research question two, three themes were presented: (i) building

sensing capability for a strong data foundation to explore opportunities in virtual

servicescape transformation; (ii) building seizing capability for increased connectivity of

organisational service system in virtual servicescape transformation; (iii) building

transforming capability for financing innovation and resources in virtual servicescape

transformation. architecture. Chapter five will further the theoretical discussion of the

findings.

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CHAPTER FIVE: DISCUSSION AND CONCLUSION 5.1 Introduction

Chapter Five presents the findings of qualitative research undertaken to investigate

the building of dynamic capability when firms transforming from physical to virtual

service environment (Arnould, 2008; Dowling, 2016; Wilden et al., 2017; Teece, 2019;

Vargo & Lusch, 2016). Although research pertaining to the resources and capabilities of

firms in strategic change is well established, the building of dynamic capabilities for the

creation of virtual servicescape remains underdeveloped (Ojasalo, Koskelo & Nousiainen,

2015; Peter, Kraft & Lindeque, 2020; Warner & Wager, 2019; Verhoef et al., 2019).

Further, the conceptual shift to service dominant logic suggests that a deeper

understanding of the mechanism of dynamic capabilities can be developed with the

application of S-D logic (Arnould, 2008; Dowling, 2016; Wilden et al., 2017; Teece, 2019;

Vargo & Lusch, 2017). Therefore, in order to address these identified gaps in the literature,

two research questions were developed to investigate how firms leverage dynamic

capabilities in the creation of virtual servicescape (Wilden et al., 2017; Teece, 2019;

Warner & Wager, 2019; Verhoef, et al., 2019):

RQ1: How do firms close technical, market and business model capability gaps in

the creation of virtual servicescape and secondly

RQ2: How sensing, seizing and transforming are being managed to achieve

organisational agility in the creation of virtual servicescape?

In addressing these questions, Chapter Five is segmented into five main sections, as

seen in Figure 5.1. This chapter begins with an introduction, followed by presenting key

findings of each research question. Next, contributions of theoretical and managerial are

outlined, following with discussion on limitations and directions for future research.

Finally, concluding comments are provided. A visual outline of Chapter Five is provided

in Figure 5.1.

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Figure 5.1 Diagrammatic overview of Chapter Five

5.2 Overall findings

5.2.1 Overall findings: Research Question One

RQ 1: How do firms close technical, market and business model capability gaps in

the creation of virtual servicescape?

To address Research Question One, the findings of this research identified three

capabilities gaps that are integral for digital transformation: (a) technical capability gap,

(b) market capability gap and (c) business model capability gap (Tecce, 2019).

Specifically, the findings identified a combination of strategies that may contribute to

filling the capability gaps during digital transformation.

When closing technical gap, four significant barriers are mentioned, which include:

inefficiency in automated consumer data collection process, clogged digital infrastructure,

one-dimensional online shopping experience and other unknown technical risks. To

address these barriers, high performing firms used four types of capabilities, social media

capabilities for data capturing and analytics, cloud computing integration to improve

communication efficiency, augmented reality (AR) and virtual reality (VR) to enrich

virtual servicescape and open innovation with external stakeholders to improve firm’s

digital fluency.

Further, the findings inferred that market capability is vital in shaping digital

strategies in digital transformation. When closing market capability gap, firm often face

issues including inadequate virtual touch points and low-quality digital content. To

respond to these identified challenges, case firms emphasised on heavy investment on new

5.6 Conclusion

5.5 Limitations and future research

5.4 Managerial contributions

5.3 Theoretical contributions

5.2 Overall findings

5.1 Introduction

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forms of social media to encourage brand engagement, such as live streaming. Online

sales were adopted by goods-oriented firms to counter market gaps. Partnership with

influential platforms also provided firms the knowledge, capabilities and resource to drive

site traffic. High performing firms adopted offline pop-up store to encourage engagement,

increase brand exposure, convert sales, increase followings and drive traffic to online

stores.

Business model gap is the last gap to address in the building of virtual servicescape.

The findings pointed out that inadequate digital knowledge and lack of technical skills are

preventing businesses from closing business model gap. To address these difficulties, high

performing firms encouraged their senior staff to build digital mindset through learning

and training. Furthermore, firms also proactively looking to hire talents with strong digital

knowledge and technical skills, as these two components are identified to be crucial in

building a defensive and dynamic business models. Further, learning activities and change

leadership were deemed as equally important in facilitating the transition towards a more

flexible business model in virtual servicescape.

5.2.2 Overall findings: Research Question Two

RQ 2: How sensing, seizing and transforming are being managed to achieve

organisational agility in the creation of virtual servicescape?

Continuous engagement in sensing, seizing and transforming capabilities is crucial

for firms to sustain its competitive advantage in high uncertainty context (Teece, 2007).

In order to scan digital opportunities and threats in virtual servicecape, firms develop

sensing networks, in which employees, competitors, suppliers and customers are placed

in the centre of the network web. Competitor monitoring capability needs to be developed

by firms. High performing firms often uses digital data and software to conduct competitor

monitoring. With suppliers, firms need to focus on developing on-demand manufacturing

capability to digitalise its supply chain. On demand manufacturing capability helps firms

to achieve organisation flexibility (Lu & Xu, 2019). Customer engagement capability

should also be valued in building sensing capability. Firms often uses machine learning

and algorithms to uncover consumer insights, such as consumer demands, behaviours and

preferences. Capabilities mentioned above show the external coordination capabilities a

firm must develop in order to develop its sensing capability. To develop sensing

capabilities internally, firms have to develop the networking capability, algorithm

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capability, knowledge absorptive capability and information processing capabilities.

Networking capability refers to the firm’s ability to develop inter-organisational

relationships to gain access to resources (Galkina & Chetty, 2015; Johanson & Vahlne,

2009; McGrath & O’Toole, 2014, p.897). In the context of virtual servicescape,

networking capability allows the firm to facilitate their adaption faster.

To exploit opportunities and respond to threats in an efficient manner, high

performing firms often develop a coping system that is managed by cross-functional team.

The team involves both external stakeholders and internal stakeholders including

customers, suppliers, R&D team, IT, HR, and sales and marketing team. Specifically, once

a latent demand is sensed by product development team, transformation team often

initiates contact with R&D department and external manufacturer to explore the

possibilities for product or service innovation and creation. Once the new product/service

is realised, sales and marketing team would need to develop digital market research

capability, leveraging on digital statistics to propose promotional strategies. Meanwhile,

IT department is supposed to work with the coordination team to ensure the infrastructure

and digital resources are re-aligned for seizing opportunity. In addition, the team may

liaison with human resource team, if new capabilities are required. It is important to note

that a synchronised system, solid digital infrastructure and leadership capabilities are

pivotal for building seizing type capabilities.

To sustain a firm’s competitive advantage in deep uncertainty, transforming

capability needs to be valued (Teece, 2007). This study found that several firm-level

capabilities need to be developed in order to attain a good virtual business outcome,

including adaptive capability (Eshima & Anderson, 2016), entrepreneurial capability

(Zahra et al., 2011), knowledge absorption capability (Wang et al., 2007), innovation

capability (Lawson & Samson, 2001), relationship capability (Jiang et al., 2019) and

political influencing capability.

The study also found that the technical foundation of the firm influence the

progression and speed of digital transformation. Specially, technical infrastructure was

highlighted by all high performing firms. It is notable that an advanced technical

infrastructure drives internal efficiency and productivity of a firm during transformation

through enhancing a firm’s knowledge absorption capability as well innovation capability.

Further, leadership capabilities were required to secure a successful digital transformation.

Leadership capability performed by CEO influences the overall change climate of the

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organisation. Firms from certain industries highlighted the importance of political

influencing capabilities in nurturing change. For example, industries relying on

unpatentable intellectual properties or entertaining industries required high level of

relationship capabilities as well as political influencing capabilities to nurture a safe

ground for change. The research is suggestive of the importance of all these capabilities

in building organisation resilience, increase organisation agility and cultivate organisation

culture in the creation of virtual servicescape.

5.3 Theoretical Contributions

This thesis makes three important contributions to the literature. This research has

specifically addressed three pertinent gaps within the literature of dynamic capabilities,

services and digital transformation. Firstly, the research contributes to the literature of

digital transformation. The findings of this research are broadly consistent with Warner

and Wager (2019) who highlighted the importance of building digital sensing, digital

seizing and digital transforming capabilities in drastic environments to sustain a firm’s

competitive advantage. The findings extended Warner and Wager’s (2019) by giving

insights about dynamic capabilities where the context of digital transformation processes

help us understanding that omni-channel management capability is the new type of

capabilities needed within these transformations. Secondly, this thesis extends on Teece

(2018) and Helfat and Raubitschekb (2018) work by specifying three distinct and

important dynamic capabilities in relation to virtual servicescapes. That is, the study

uncovered three specific capabilities necessary for successfully navigating digital

challenges, these include: entrepreneurial capabilities (Zahra et al., 2011), absorptive

capabilities (Wang et al., 2007), and political influencing capabilities. Although the former

two capabilities have already been identified in the literature, these capabilities have yet

to be proven or applied to real world virtual contexts. Further, a political influencing

capability have not been identified in the literature but for the context of China are critical

for successful digital transformation of the firm. Thirdly, the findings of this study showed

that organisations take a particular technological path for service innovation through

digital transformation towards virtualisation. This study shows each of the path that firms

have taken towards virtualisation and highlights the progression of business model shifting

from internal platforms, to open/closed platform to leading platforms. Further, the findings

suggest that the open/closed platform business model plays a prominent part in

contributing to the accumulation of “knowledge sets” (Teece, 2009) for the building of

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dynamic capabilities. The findings also suggest that open/closed platform business models

do not offer any sustained benefits as many resources and capabilities under this business

model are borrowed and temporary, such as innovation capabilities or network

capabilities. Since Teece (2019) highlights dynamic capabilities must be built, the findings

in this study suggest that high performing firms should aim to progressively move towards

to an open service platform building their own set of new adaptable capabilities and

resources, to prepare firm for more advanced digital transformation, towards a greater

flexibility and connectivity with multiple actors in the value co-creation process. Overall,

these findings have important contribution and can offer a point of departure for future

scholars investigating the development of dynamic capabilities in changing environments.

Further details of the contribution will be presented, followed by its managerial

implications, limitations of the study and directions for future research.

5.3.1 Theoretical contribution one

The findings of this research are broadly consistent with Warner and Wager (2019)

who highlighted the importance of building digital sensing, digital seizing and digital

transforming capabilities in drastic environments to sustain a firm’s competitive

advantage. The findings extended Warner and Wager’s (2019) by giving insights about

dynamic capabilities where the context of digital transformation processes help us

understanding that omni-channel management capability is the new type of capabilities

needed within these transformations.

The present study identifies one new capability that is of critical importance in

developing dynamic capabilities for creating and capturing value in digital transforming.

The new identified capability is related to omni-channel management. Omni-channel

management is defined as “synergistic management of the numerous available channels

and customer touchpoints, in such a way that the customer experience across channels and

the performance over channels is optimized” (Verhoef et al. (2015, p. 176). Although the

importance of omni-channel management is highlighted in the literature, the majority of

research rarely linked the importance of omni-channel management to dynamic

capabilities building and digital transformation. The present research following Verhoef

et al. (2015, p.176) defines omni-channel management capability as:

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A firm’s ability to integrate the management of the numerous available channels

and customer touchpoints, in a way that the internal processes to support value creation

and capture is effectively and efficiently optimised.

The findings suggested that omni-channel management capabilities increase

organisational flexibility towards market changes through coordinating ordinary

capabilities. The findings suggest that the building of omni-channel management

capabilities is essentially realignment of existing assets and activities to achieve stronger

organisational flexibility to respond to changes in the market. That is, firms need to

redesign or update existing IT infrastructure to manage several channels into one to create

a full-channel integrated system. Such system provides firms a seamless view of improved

database of consumers, which allows the firm to accumulate knowledge to develop

consumer insights (Stone et al., 2002). That is, omni-channel management capabilities

capture the sensing element of the dynamic capability.

Once an opportunity is identified, firms move onto the seizing stage by coordinating

with its stakeholders to capture the value. While Warner and Wager (2019) highlighted

that strategic agility (describing as the ability to perform fast decision making) is critical

for incumbent firms to seize opportunities, the present study argues that the possession of

omni-channel management capability accelerates a firm strategic agility in an

environment characterised by changes.

The findings suggest that omni-channel management capabilities break down

organisational silos by cultivating a collaborative change environment which helps

reconfiguration of resources and capabilities. When various channels are being merged

into one channel, the core to strategic agility becomes clear, which is to maximise value

creation and capture from that one and only channel. It is observed that in virtual

servicescape responsibilities of internal units and departments are no longer treated

separately but rather collaboratively, to provide support to each other throughout the

process of value creation and capture (Doz & Kosonen, 2010). For instance, some high

performing firms in this study often break down phases according to consumer online

journey with each phase channel strategy adjusted to complement the weakness of another.

For example, these firms invest resources on touchpoints (offline-pop-up stores, social

media live streaming and sales events, influencers) and AI-powered system to generate

data and perform prediction as to how to sell, when to sell, what network to use and on

which platform to sell. Once the pathway of value creation and value capture is outlined,

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leadership makes agile decision as to how resources and capabilities can be integrated to

optimise value, followed by matching the capabilities of the employees to the

corresponding phase of value creation to optimise organisational performance in turbulent

environment.

The findings indicated that omni-channel management capabilities not only reduced

the time firms spending on decision making but also improved the internal structure agility

of the firm during digital transformation. Since there is scant research examining the

importance of omni-channel management capabilities in building of dynamic capabilities

in deep uncertainty environment, the findings are important because it empirically links

omni-channel management to dynamic capability, as a higher order capability, to assist

the digital transformation of the firm.

5.3.2 Theoretical contribution two

Teece (2018) highlighted the importance of dynamic capabilities in building

ecosystem strength in the digital economy. Expanding on his argument, Helfat and

Raubitschekb (2018) proposed four types of dynamic capabilities, that include: innovation

capabilities, environmental scanning and sensing capabilities, and integrative capabilities

that are crucial for building digital ecosystems. This thesis extends on Teece (2018) and

Helfat and Raubitschekb (2018) work by specifying three distinct and important dynamic

capabilities in relation to virtual servicescapes. That is, the study uncovered three specific

capabilities necessary for successfully navigating digital challenges, these include:

entrepreneurial capabilities (Zahra et al., 2011), absorptive capabilities (Wang et al.,

2007), and political influencing capabilities. Although the former two capabilities have

already been identified in the literature, these capabilities have yet to be proven or applied

to real world virtual contexts. Further, a political influencing capability have not been

identified in the literature but for the context of China are critical for successful digital

transformation of the firm.

The findings from this research indicate that entrepreneurial and absorptive

capabilities are the “sticky” firm-level resources that collectively contribute to the creation

of a unique resource bundle for nourishing, flourishing and sustaining innovations in

digital environments. These will be discussed next.

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Entrepreneurial Capabilities

In this study, entrepreneurial capabilities were identified as key capabilities that

enhanced the firm’s ability to exploit digital ecosystem opportunities. Entrepreneurial

capabilities are defined as the firm’s capacity to recognize, conceive, create, and exploit

opportunities for competitive advantage (Zahra et al., 2011). That is, entrepreneurial

capabilities are essential for a firm to seize new value-creating opportunities through

learning (new skills/knowledge) and unlearning (practices of home country) activities

(Tang & Zahra, 2008; Zahra et al., 2011). This research supports the idea that

entrepreneurial capabilities are critical in aiding a firm’s digital transformation. That is,

these high performing firms in the study leveraged these entrepreneurial capabilities to

facilitate and innovate how the firm seized digital opportunity and transform digital

business models.

The finding extends the literature by identifying how high performing firms leverage

frontline employees’ entrepreneurial capabilities to identify new opportunities and build

their “idea webs”. That is, not only the founder but also employees with entrepreneurial

capabilities are leveraged for development and implementation of innovation within

virtual servicescapes. High performing firms also value senior managers as a way to build

entrepreneurial capabilities, forming formal and informal “guanxi” (networks of

relationships) with all types of entities as a source of knowledge, and conduit for new

business. Senior management’s entrepreneurial capabilities contribute to the exploitation

of opportunities. For instance, some case firms work with the higher education sector,

design schools from Europe and tech start-ups to introduce new knowledge from outside-

in. In certain cases, entrepreneurship capabilities are adopted to safeguard a firm’s

unpatentable tacit know-how, despite the limitation of the legal system in the context of

China (Peng et al., 2017).

Absorptive capabilities

Although entrepreneurial capabilities can introduce ideas and networks from the

external environment to the firm, the findings highlight that a firm’s absorptive

capabilities are critical for organisational learning and organisational innovation. As Zahra

and George (2002, p.149) defined absorptive capability as the “organisational capability

of a firm to obtain, absorb, transform, and utilise external knowledge.” In the previous

literature, absorptive capabilities are often considered to be a success factor, impacting a

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firm’s innovation capabilities (Kundsen, 2007; Ritala & Hurmelinna‐Laukkanen, 2013).

This study illustrates how firms build their absorptive capability and how they leverage

the capabilities to learn and innovate. The findings indicate that high performing firms

often adopt “blood transfusion method”, which is replacing employees who had little to

no digital experience with those employees that have high levels of digital capabilities, to

build and accelerate in-house absorptive capabilities during digital transformation. Speed

is deemed as the prerequisite to maintain the competitiveness of a firm (Teece, 2019a,

2019b). Therefore, employees who demonstrate a lack of understanding of the mechanism

of the digital environment, slow down the transference of knowledge and the learning

process of the organisation, which subsequently impacts the selection and orchestration of

resources and capabilities within the firm. The findings also suggest that digitally inept

employees not only negatively impact the building of a firm’s absorptive capabilities but

also hinder a firm’s pursuit of competitive advantage over time.

Further, the findings in this study indicate that absorptive capabilities such as when

a firm digitalises their processes this is an effective and efficient mechanism to augment

technology in conjunction with human capital. That is, high performing firms in this study

showed a level of integration in relation to cloud platforms, artificial intelligence and data

infrastructure to gather knowledge (large amount of data), analyse knowledge (data) and

perform emulative predictions. For instance, one firm adopted cognitive algorithms to

follow the movement of competitors, social media trends, product reviews and key

influencer post to support and obtain a new business model path. Once the predictive

analysis is generated, senior management step in utilising knowledge obtained to

orchestrate resources and capabilities for innovation and transformation.

Political influencing capabilities

Previous literature has identified the close relationship between individual political

influence behaviour and career success (Judge & Bretz Jr, 1994). Ferris, Russ, and Fandt

(1989, p.145) defined political influence behaviour as a “social influence process in which

behaviour is strategically designed to maximize short-term or long-term self-interest,

which is either consistent with, or at the expense of, others’ interests”. A number of

researches suggest that political influence behaviour has a significant effect on human

resources outcomes, including salary growth (Bartol & Martin, 1988, 1990), more positive

performance reviews (Wayne & Kacmar, 1991) and faster promotions (Gerhart &

Milkovich, 1989; 1992). The findings of this study also show that the organisational

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political influencing behaviour is critical in the creation of organisational growth such as

the development of these new innovations of virtual servicescape in China. That is,

political influence capabilities are used as ways in which to gain insights, influence and

as mechanisms for developing new business models.

In China, economic and spending policies are highly decentralised (Xu, 2011). That

means that local governments have the control to perform budget allocation (Pan, 2018).

Often, local officials prefer to allocate budget to developments and projects that have a

rather positive influence on employment opportunities and are more tangible for GDP

growth, such as infrastructure developments or high-profile business projects (Pan, 2018).

Another factor impacting local budget allocation is the economic policies and agenda

revealed by national congress, known as the political cycle (Nie et al., 2013). Tao (2006)

finds that, economic cycles in China has become increasingly responsive to the political

rhythms. That is, the annual investment and inflation in China are cyclically affected by

the National Conference of the Chinese Communist Party (NCCCP) that is held every 5

years (Li, 2011). These conferences suggest that China is to be the centre of innovation

and that digitalisation is a mechanism within which to grow the country’s future.

In 2015, The Chinese government has launched “Made in China 2025,” a state-led

industrial policy that seeks to make China dominant in global high-tech industries. The

influence of such critical political events leads to a booming investment in internet-related

industries. All seven firms indicated they had benefited from local budget in early stage

of virtual servicescape creation. Two firms stated that their firm’s lobbied local politicians

to change the rules to their advantage in the early phase of digital transformation. Another

firm highlighted that the CEO’s political influence helped the firm to pull necessary

resources and capabilities that are beneficial for digital transformation. These findings

support the statement that political influencing capabilities are critical for firms to thrive

in the creation of virtual servicescape in dynamic industrial settings. These firms all

showed a history of relocating to political centres for staying in the “guanxi” cluster to be

friends with local officials.

To summarise, these findings are important, as this study identified three extra

dynamic capabilities, that are of paramount importance in helping a firm to conquer to

digital challenges, namely; entrepreneurial capabilities (Zahra et al., 2011), absorptive

capabilities (Wang et al., 2007), and political influencing capabilities. Although the former

two capabilities have already been discussed in the literature, it yet to be been applied to

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the virtual context. Political influencing capabilities are new, and it is identified as China

context-specific capabilities contributing to the success of digital transformation.

5.3.3 Theoretical contribution three

The findings of this study showed that organisations take a particular technological

path for service innovation through digital transformation towards virtualisation. This

study shows each of the path that firms have taken towards virtualisation and highlights

the progression of business model shifting from internal platforms, to open/closed

platform to leading platforms, see figure 5.2. Technologies have transformed the focus of

innovation to be network-centric focus (Chesbrough, 2003; Nambisan & Sawhey, 2007),

information-centric focus (Glazer, 1997) and value-and/or experience-centric focus

(Vargo & Lusch, 2004). Such a shift of focus on innovation suggested that goods-

dominant logic can only offer limited understanding of service innovation in the digital

era (Akaka, Vargo and Schau, 2015). Based on the meta-theoretical foundations of

Service-Dominant logic, Lusch and Nambisan (2015) conceptualised service innovation

via a tripartite framework that consists of three components: service ecosystem, service

platform and value cocreation. This framework demonstrates that service innovation

happens when actors continuously seek to optimise value co-creation through the support

of the service platform, to liquefy resources and enhance their resource density (Lusch &

Nambisan, 2015).

More specifically, the findings suggest that in the early phase of digital

transformation, there are higher risks associated with markets, technologies and business

models, which makes it more difficult for firms to transform (Teece, 2019). For some

SMEs in this study, the lack of financial capital as well as the lack of knowledge for

operation in virtual servicescape across divisions negatively impact the strategic decision

making. Thus, high performing firms move to open/closed platforms to overcome

resources restraints and deficiencies on capabilities by joining established multi-sided

digital platform. For example, these firms in this study leveraged on external platforms

such as Alibaba or JD to pull necessary resources and capabilities to facilitate early phase

of digital transformation to remain competitive. Some goods-oriented firms highlighted

that by partnering with Alibaba, the firm gained access to sophisticated service platform

support for operating in virtual servicescape, ranging from IT infrastructure, payment

solutions, marketing, system integration, digital store design, customer service, inventory

management, warehousing and order fulfilment services.

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The findings suggest that the open/closed platform business model plays a

prominent part in contributing to the accumulation of “knowledge sets” (Teece, 2009) for

the building of dynamic capabilities. That is, these firms worked with an established multi-

sided digital platform so as to gain tacit and implicit knowledge for building their own

digital capabilities and resources for digital transformation.

The findings also suggest that open/closed platform business models do not offer

sustained profitability as many resources and capabilities under this business model are

borrowed and temporary, such as innovation capabilities or network capabilities. Often,

multi-sided digital platforms “spoon-feed” firms by providing full range of digital services

to increase the dependency of firms on the platform. Dehler and Welsh (2013) argued that

businesses in a spoon-feeding culture often are not prepared for challenges and developing

sensemaking to create their own ideas demonstrated by contextualised knowledge. In the

context of virtualisation, over-reliance on the digital support from platforms impedes a

firm’s independent learning, knowledge absorptive and innovation capability, which in

turn, mitigate the development of dynamic capabilities.

Since Teece (2019) highlights dynamic capabilities must be built, the findings in

this study suggest that high performing firms progressively move towards to an open

service platform so to build unique capabilities. That is, experience and knowledge from

working with open/closed digital platforms, such as Alibaba, influences the firm’s

selection of resources and capabilities. These tacit knowledges contribute to the choice of

how and when to develop a set of new adaptable capabilities and resources that can prepare

the firm for digital transformation, towards a greater flexibility and connectivity with

multiple actors in the value co-creation process. For example, some high performing firms

opted out data services provided by the platform, so that they build their own data labs to

advance the firms’ data collection and analytical capabilities. To summarise, these finding

are important because they map the progression of business model development within

service platforms when firms are undergoing major changes, which are something not

highlighted in the literature.

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Figure 5.2 Transition of Service Platform Business Models

5.4 Managerial contributions

The rapidly changing technological landscape has introduced deep uncertainty in

the world of economic, meaning that a firm’s competitive advantage needs to be

constantly reviewed in the pursuit of profit (Teece, 2019). Sutton (2012) highlight the

importance of the capabilities of firms as the proximate cause of imbalanced wealth

distribution. Thus, it is important for managers to improve the evolutionary fitness of the

by creating hard-to-imitate capabilities and resources to sustain its competitive advantage.

The current research offers three managerial contributions to help guide organisations

through deep uncertainty. First, the research findings presented a specific range of new

capabilities firms should prioritise to develop facing environmental uncertainty; namely,

omni-channel management capabilities, entrepreneurial capabilities, absorptive

capabilities. These newly identified capabilities can be used as a tool to inform high

quality managerial strategic formulation to calibrate the technical, market and business

model capabilities’ distances of firms (Teece, Peteraf & Leih, 2016). In essence, this class

of capabilities will enable innovative resources and capabilities integration that can fuel

growth in profits. Second, while development of capabilities is important for the pursuit

of successful digital transformation, particularly in virtual servicescape, so too are the IT

infrastructure of a firm. The findings of this research suggested that the development of

abovementioned capabilities is fundamentally underpinned by sophisticated technical

infrastructure. That is, in virtual servicescape, processes such as recognition of latent

demands, consumer behavioural changes and competitor movements usually require

human intelligence, can now be replaced by artificial intelligence and cloud computing.

Open/closed platform business model (Pre-digital transformation)

Learning and accumulation of knowledge (During digital transformation)

Open service platform business model (Post-digital transformation; e.g. GmA, GmB, SmE, SsH))

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In fact, the adoption of artificial intelligence and cloud computing enables productivities

at workplace as well as accuracy in decision makings. Artificial intelligence is expensive

to implement however, once built, paring with the right talent (capabilities), this powerful

combo will fuel growth of profit. Third, the findings of the research suggest that while

platform complementor has been a useful pathway for firms to enter in to virtual

servicescape, firms or senior management should always actively update and re-update its

business model through the accumulation of tacit and codified knowledge. Managers

should take note that the most change resilience business model is the one that built

internally to respond to the unexpected. The findings suggest that firms should ultimately

move towards open service platform business model, to enhance its organisational agility.

5.5 Limitations and future research

Notwithstanding its contributions to the literature, this study is subject to three

limitations (Cooper et al., 2003). As such, a discussion of three limitations of this research

is provided in conjunction with future research. The first limitation of this study lies in the

context of China. That is, this study is delimited to the investigation of Chinese firms only.

Although the study carefully selected a mixture of industries from Beijing and Guangzhou,

the generalisability of the study is limited due to the heterogeneity of economic, culture

and political conditions between China and other countries. As such, future study on

dynamic capabilities should consider a sample beyond China and consider replication of

this study in a new cultural context. Such comparison will add richness in the literature of

dynamic capabilities. Second limitation of this study is relative to the context of SMEs.

The findings of this research are drawn from eight SMEs through multiple one-hour

duration interviews, meaning that the applicability of the research may delimited to SMEs.

Therefore, future research investigating dynamic capabilities would benefit from a wider

scope of the study, such as multi-national organisational. Third limitation of this research

concerns the qualitative nature of the study. The data of this research derive from eight

case firms through limited hours of interview, meaning that only the tip of an iceberg” is

captured. Therefore, it is suggested that future research would benefit from incorporating

quantitative method based on the findings of this research. In addition, the findings

identified that the importance of technological development such as artificial intelligence

as a critical source of knowledge in enabling a firm’s dynamic capabilities during digital

transformation, future study on dynamic capabilities might benefit from understanding the

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role of digital-assisted knowledge management in accelerating the evolution of dynamic

capabilities.

5.6 Conclusion

This research has specifically addressed three pertinent gaps within the literature of

dynamic capabilities, services and digital transformation. Firstly, the findings of this

research are broadly consistent with Warner and Wager (2019) who highlighted the

importance of building digital sensing, digital seizing and digital transforming capabilities

in drastic environments to sustain a firm’s competitive advantage. The findings extended

Warner and Wager’s (2019) by giving insights about dynamic capabilities where the

context of digital transformation processes help us understanding that omni-channel

management capability is the new type of capabilities needed within these

transformations. Secondly, this thesis extends on Teece (2018) and Helfat and

Raubitschekb (2018) work by specifying three distinct and important dynamic capabilities

in relation to virtual servicescapes. That is, the study uncovered three specific capabilities

necessary for successfully navigating digital challenges, these include: entrepreneurial

capabilities (Zahra et al., 2011), absorptive capabilities (Wang et al., 2007), and political

influencing capabilities. Although the former two capabilities have already been identified

in the literature, these capabilities have yet to be proven or applied to real world virtual

contexts. Further, a political influencing capability have not been identified in the

literature but for the context of China are critical for successful digital transformation of

the firm. Thirdly, the findings of this study showed that organisations take a particular

technological path for service innovation through digital transformation towards

virtualisation. This study shows each of the path that firms have taken towards

virtualisation and highlights the progression of business model shifting from internal

platforms, to open/closed platform to leading platforms. Further, the findings suggest that

the open/closed platform business model plays a prominent part in contributing to the

accumulation of “knowledge sets” (Teece, 2009) for the building of dynamic capabilities.

The findings also suggest that open/closed platform business models do not offer any

sustained benefits as many resources and capabilities under this business model are

borrowed and temporary, such as innovation capabilities or network capabilities. Since

Teece (2019) highlights dynamic capabilities must be built, the findings in this study

suggest that high performing firms should aim to progressively move towards to an open

service platform building their own set of new adaptable capabilities and resources, to

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prepare firm for more advanced digital transformation, towards a greater flexibility and

connectivity with multiple actors in the value co-creation process. Overall, these findings

have important contribution and can offer a point of departure for future scholars

investigating the development of dynamic capabilities in changing environments.

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6 APPENDICES

Appendix A: Interview Protocol

CONFIDENTIAL INTERVIEW PROTOCOL

Interviewee Name

Interviewee Age

Interviewee Education

Start Time

Finish Time

Greeting and show appreciation for the participation

Firstly, thank you for taking the time today to have this discussion with me. This research would not be possible without your valuable contribution. We have come together today to discuss how firm’s capabilities in virtual service environment. It is expected that the outcomes of this research will assist business owners’ decision makings in virtual space.

Explain interview process and form signing

Regarding our discussion today, there is no right or wrong answers to the questions we will discuss. I am simply interested in knowing your perspective of organisation innovation and capabilities. Our discussion today is a confidential conversation and information I record, such as your full-name and demographic information will not be kept by the researcher or QUT. For the safety of yourself, I will disguise your name, and any personal identifying information in the final report, so you remain anonymous. The complete interview process will take approximately 60 minutes. would like to audio record today’s interview, as I will be transcribing this discussion for analysis purposes. You can request a copy of the findings, when the data has been transcribed and analysed. As part of the National Statement on Ethical Conduct in Human Research, you are required to complete a consent form. If you require further details about the research, you can contact any member of the research team. The contact details are on the information sheet.

Recorder Check Interview Questions

Q1: Can you please give me a brief overview of your work history? Purpose

- Level and location of positions within the organization - What knowledge and skills the person has

Q2: Could you briefly explain your role in current position? - How many years have you been working in this organisation? - How did you start in this company? - Was there a shift in your role *now vs when you started? - What area/level of decision making you involve/incharge?

Q3: Could you please tell me a project that relevant to digital transformation: - What was the purpose of the project?

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- How long did the project last? - What departments or how many people were involved in the process? - What were your responsibilities? - Did you achieve your goal? (30%; 50%; 70%; 100%)

Purpose - Interviewee’s responsibilities in project vs interviewee’s responsibilities in daily life - General information of the project - Sensing capabilities; capabilities gaps

Q4: Could you tell me, what worked and what didn’t work at that time? - What were the difficulties faced?

Purpose - Interviewee’s responsibilities in project vs interviewee’s responsibilities in daily life - Challenges of digital transformation, managing unknows and developing capabilities and

resources (seizing capabilities) Q5: What were the critical factors contributing to the success of the project? Name three to five.

- Classify under the catalogue of knowledge, resource, skills and capabilities - Out of 10, how would you rate the importance of each

Purpose - Double checking… reconfirming the information from previous question - Which capabilities are essential for digital transfromation

Q6: How did THE FACTORS (mentioned above) develop over time? - In the beginning of the project vs the end of the project - Knowledge, skills, resources and capabilities - What did you have? - What was needed? - How did you create?

Purpose - Identifying what bundles of capabilities are important? - How do they develop over time?

Q7: By the end of the project, what skills, capabilities and resources were new to your team? - Internally, did you have to work with another department? How long does it take for each other

to get on same page? - Externally, did you need to work with other companies? How long does it take for you to adapt?

Purpose - Understand the coordination and communication efficiency within firm - Open innovation

Q8: If you were able to re-do the project again, what would you do differently? Purpose

- What are the must-developed dynamic capabilities? - Which capabilities are more important? Sensing, seizing or transforming

Q9: For you, what skillset are you looking for from people who working in virtual industry. Purpose

- Is talent important? And when will they become critical in the creation of virtual servicescape? Q10: Is there anything else you would like to add about dynamic capabilities for future retail or for your company? Purpose

- New information that might cover in the interview

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