Digital business ecosystem: Literature review and a framework for future research

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Highlights

  • Digital innovation has enabled the development of new collaborative networks such as digital business ecosystems.

  • There have been limited attempts to critically review and synthesise digital business ecosystem research.

  • This study systematically analysed and critically reviewed 101 research articles on digital business ecosystem.

  • This study combined systematic literature review approach with grounded theory literature review method as the overall research strategy.

  • The findings suggest that digital business ecosystem research can be classified into four main themes.

Abstract

Digital innovation has radically changed how organisations collaborate and compete. Coupled with this change are new collaborative value creation networks such as digital business ecosystems (DBEs). DBE is a socio-technical network of individuals, organisations and technologies that collectively co-create value. Since the emergence of DBE over a decade ago, there have been limited attempts to critically review and synthesise the body of knowledge presented over the years. Thus, the purpose of this paper is to fill this gap in DBE research by: (1) developing a comprehensive framework that synthesises and provides an overall direction of DBE research; (2) pointing out gaps in DBE literature; and (3) providing future research directions. To address this purpose, we systematically analysed 101 research articles on DBE. The findings provide insightful revelations to address some limitations in the current DBE research. As such, this study makes important contributions and serves as a useful resource for future DBE studies and practice.

Introduction

The advancement of digital technology has led to the development of new collaborative organisational networks such as digital business ecosystem (DBE). DBE is a collaborative environment made up of different entities that co-create value through information and communication technologies (ICTs) (Nachira, Dini, & Nicolai, 2007). DBE transcends traditional industry boundaries to foster open and flexible collaboration and competition. For many organisations, DBE presents an innovative approach to leverage resources such as technology and specialised services across different industries to respond to customer needs.

Since its conceptualisation from a European Union (EU) project (Whitley & Darking, 2006), DBE has gained popularity in many disciplines such as information systems (IS) (e.g., Graça & Camarinha-Matos, 2017; Senyo, Liu, Sun, & Effah, 2016; Tsatsou, Elaluf-calderwood, & Liebenau, 2010), general management (e.g., Koch & Windsperger, 2017), tourism (e.g., Del Chiappa & Baggio, 2015) and computer science (e.g., Hussain, Chang, Hussain, & Dillon, 2007a). In practice, DBE has also gained increasing attention (Gartner, 2015) as organisations strive to leverage external resources to meet growing customer needs. Therefore, to push DBE research forward, it is important to review the extant studies to unearth: (1) extensively researched issues, (2) less-researched areas, (3) methods and theories used in prior research, as well as (4) issues for future studies.

In the extant IS literature, limited attempts have been made to systematically review DBE studies. Thus, we argue that a thorough review of existing literature on DBE will: (1) enable proper evaluation to determine the extent of studies already undertaken and offer gaps for future studies; and (2) support better understanding of the DBE concept and stimulate future research. Therefore, this study seeks to provide a critical review of DBE research by synthesising existing studies and developing a framework that highlights issues, methodologies and methods as well as theories in prior investigations. The main research questions motivating this study are:

RQ1: What themes have been investigated in prior DBE research?

RQ2: What methodologies and methods have been utilised in the extant DBE research?

RQ3: What theories, models and frameworks have informed prior DBE research?

RQ4: What gaps exist in current DBE research that future studies can investigate?

To address these research questions, the rest of this paper is organised as follows. First, we present an overview of the DBE concept. Next, we discuss our research method in terms of journal selection, literature search, article selection, refinement and analysis approaches. Thereafter, we present the findings to address our research questions. This is followed by presentation of our proposed DBE research framework, which we consider useful for future research and practice. Finally, we conclude the paper with a discussion of our research contributions.

Section snippets

Overview of digital business ecosystem

DBE is an extension of Moore’s (1993) business ecosystem for which digital technology plays a dominant role. The birth of business ecosystem was motivated by cross-industry operation analogous to the biological ecosystem (Li, 2009). Business ecosystem is an economic community of loosely-coupled interacting organisations and individuals who produce valuable goods and services (Moore, 1993). While business ecosystem portrays generic organisational interdependence, DBE extends this concept by

Methods

Following, Senyo, Addae and Boateng (2018), we used systematic literature review and combined it with Wolfswinkel, Furtmueller, and Wilderom, (2013) grounded theory literature review method. While systematic literature review offers a pre-defined procedure for literature search and refinement, the grounded theory literature review method ensures extraction of linkages between different papers. The two approaches were chosen to achieve a holistic literature coverage, adequate extraction of

Results

In this section, we present the findings of the literature reviewed under the following subsections: (1) overview of DBE research, (2) themes in DBE research, (3) research methodologies and methods in DBE research and (4) theories used in DBE research.

Framework for DBE research

This section presents our proposed framework to address research question 4 (RQ4). The framework serves as a bridge between existing and future DBE research by highlighting well and less researched issues. As a result, the framework provides a clear indication of the overall direction of DBE research. Moreover, this framework is a useful starting point for new researchers and practitioners to understand the current state of DBE research and identify areas that require further studies. With

Conclusion

In this paper, we conducted a systematic literature review to understand the state of DBE research and highlight potential areas for future research. As such, 4 research questions guided the study, namely: (1) What themes have been investigated in prior DBE research? What methodologies and methods have been utilised in the extant DBE research? What theories, models and frameworks have informed prior DBE research? What gaps exist in current DBE research that future studies can investigate?

In

Prince Kwame Senyo is a Sessional Lecturer in the Informatics Research Centre, Henley Business School. He has a PhD in Informatics from the University of Reading, UK. Dr Senyo’s research has been published in journals such as International Journal of Information Management, Journal of Enterprise Information Management, and the International Journal of Information and Learning Technology. His current research interests are Digital Business Ecosystems, Cloud Computing, Digital Analytics,

References (76)

  • A. Acharya et al.

    Big data, knowledge co-creation and decision making in fashion industry

    International Journal of Information Management

    (2018)
  • H. Adil et al.

    Ontological framework for trust & reputation for DBE

    International conference on digital ecosystems and technologies

    (2008)
  • H. Adil et al.

    A reliable transaction processing framework for digital business ecosystems

    International conference on digital ecosystems and technologies

    (2007)
  • R. Adner

    Match your innovation strategy to your innovation ecosystem

    Harvard Business Review

    (2006)
  • M. Alavi et al.

    A review of MIS research and disciplinary development

    Journal of Management Information Systems

    (1992)
  • A. Attour et al.

    Architectural knowledge: Key flows and processes in designing an inter-organisational technological platform

    Knowledge Management Research & Practice

    (2014)
  • R. Baggio et al.

    Real and virtual relationships in tourism digital ecosystems

    Information Technology and Tourism

    (2014)
  • G. Briscoe et al.

    Biology of applied digital ecosystems

    International conference on digital ecosystems and technologies

    (2007)
  • S. Burford et al.

    Cross-channel information architecture for a world exposition

    International Journal of Information Management

    (2017)
  • L.M. Camarinha-Matos et al.

    Collaborative networks: Reference modeling

    Springer Science & Business Media.

    (2008)
  • C. Cheah

    The emperor’s new clothes: Redressing digital business ecosystem design

    International conference on digital ecosystems and technologies

    (2007)
  • E.Y. Chou et al.

    Fairness and devotion go far: Integrating online justice and value co-creation in virtual communities

    International Journal of Information Management

    (2016)
  • S.H. Chuang et al.

    Co-creating e-service innovations: Theory, practice, and impact on firm performance

    International Journal of Information Management

    (2015)
  • A. Corallo et al.

    Business modelling language: A framework supporting interoperability in cluster of SMEs

    International conference on digital ecosystems and technologies

    (2007)
  • J.M. Corbin et al.

    Grounded theory research: Procedures, canons, and evaluative criteria

    Qualitative Sociology

    (1990)
  • A. D’Andrea et al.

    Digital eco-system: The next generation of business services

    International conference on management of emergent digital ecosystems

    (2013)
  • M. Darking et al.

    Towards an understanding of FLOSS: Infrastructures, materiality and the digital business ecosystem

    Science Studies

    (2007)
  • M. Darking et al.

    The challenge of building public technology infrastructure: Issues of governance and sustainability in a digital business ecosystem

    European conference on information systems

    (2006)
  • J.L. De La Rosa et al.

    A negotiation-style recommender based on computational ecology in open negotiation environments

    IEEE Transactions on Industrial Electronics

    (2011)
  • P. De Wilde et al.

    Stability of evolving multiagent systems

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

    (2011)
  • G. Del Chiappa et al.

    Knowledge transfer in smart tourism destinations: Analyzing the effects of a network structure

    Journal of Destination Marketing & Management

    (2015)
  • A. Faed

    A conceptual framework for E-loyalty in digital business environment

    International conference on digital ecosystems and technologies

    (2010)
  • A. Fayoumi

    Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems

    Computers in Industry

    (2016)
  • N. Figay et al.

    Interoperability framework for dynamic manufacturing networks

    Computers in Industry

    (2012)
  • R. Fischer et al.

    A reference architecture for feedback-based control of service ecosystems

    International conference on digital ecosystems and technologies

    (2010)
  • Gartner

    Predicts 2015: Enterprise architects refocus on digital business ecosystem

    (2015)
  • P. Graça et al.

    Performance indicators for collaborative business ecosystems — Literature review and trends

    Technological Forecasting and Social Change

    (2017)
  • M. Herdon et al.

    Digital business ecosystem prototyping for SMEs

    Journal of Systems and Information Technology

    (2012)
  • H. Hu et al.

    The role of institutional entrepreneurship in building digital ecosystem: A case study of Red Collar Group (RCG)

    International Journal of Information Management

    (2016)
  • O.K. Hussain et al.

    Quantifying the level of failure in a digital business ecosystem interactions

    International conference on emerging technologies and factory automation

    (2007)
  • O.K. Hussain et al.

    A methodology to quantify failure for risk-based decision support system in digital business ecosystems

    Data & Knowledge Engineering

    (2007)
  • O.K. Hussain et al.

    A methodology to quantify failure for risk-based decision support system in digital business ecosystems

    Data and Knowledge Engineering

    (2007)
  • O.K. Hussain et al.

    Quantifying the loss in resource benefit for risk based decision in digital business ecosystem

    International conference on internet and web applications and services

    (2007)
  • D. Isherwood et al.

    TrustCV: Reputation-based trust for collectivist digital business ecosystems

    Annual conference on privacy, security and trust

    (2014)
  • S. Kamboj et al.

    Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response

    International Journal of Information Management

    (2018)
  • T. Koch et al.

    Seeing through the network: Competitive advantage in the digital economy

    Journal of Organization Design

    (2017)
  • K. Korpela et al.

    Digital supply Chain transformation toward blockchain integration

    Hawaii international conference on system sciences

    (2017)
  • K. Korpela et al.

    Digital business ecosystem transformation - Towards cloud integration

    Hawaii international conference on system sciences

    (2016)
  • Cited by (0)

    Prince Kwame Senyo is a Sessional Lecturer in the Informatics Research Centre, Henley Business School. He has a PhD in Informatics from the University of Reading, UK. Dr Senyo’s research has been published in journals such as International Journal of Information Management, Journal of Enterprise Information Management, and the International Journal of Information and Learning Technology. His current research interests are Digital Business Ecosystems, Cloud Computing, Digital Analytics, Blockchain, Organisational Semiotics and FinTech.

    Kecheng Liu is a Professor of Applied Informatics and the founding director of the Informatics Research Centre, Henley Business School, University of Reading. He is one of the key figures in Organisational Semiotics internationally. His research interests and publications span organisational semiotics, pervasive informatics, enterprise information management and intelligent systems.

    John Effah is an Associate Professor in the Department of Operations and Management Information Systems, University of Ghana Business School. Prof Effah’s research has been published in journals such as Information Society, Journal of Enterprise Information Management, African Journal of Information Systems, Journal of Information Systems in Developing Countries and Information Technology for Development.

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