E-business adoption and its impact on performance

Organizations today face intense competitive and economic pressures leading to large scale transformation of existing business operations and transactions. In addition, organizations have adopted automated business processes to deal with partners and customers. E-business diffusion is a multi-phase process, moving from initiation through to routinisation and an insight into the adoption processes helps organizations to adopt e-business more effectively. It is imperative that organizations effectively manage the e-business environment, and all associated changes to accommodate the changing relationships with customers and business partners and more importantly, to improve performance. This chapter discusses the process of e-business implementation, usage and diffusion (routinisation stage) on business performance. © 2010, IGI Global.

[1]  Kenneth L. Kraemer,et al.  Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry , 2004, J. Manag. Inf. Syst..

[2]  R. Dholakia,et al.  Factors Impacting the Adoption of the Internet among SMEs , 2004 .

[3]  Kar Yan Tam,et al.  Factors Affecting the Adoption of Open Systems: An Exploratory Study , 1997, MIS Q..

[4]  Hsiu-Fen Lin,et al.  Determinants of e-business diffusion: A test of the technology diffusion perspective , 2008 .

[5]  John Gallaugher,et al.  Factors Affecting the Adoption of an Internet-based Sales Presence for Small Business , 1997, Inf. Soc..

[6]  Staying in business , 1991 .

[7]  Nils Gruschka,et al.  On Interoperability Failures in WS-Security: The XML Signature Wrapping Attack , 2011 .

[8]  K. Klein,et al.  The Challenge of Innovation Implementation , 1996 .

[9]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[10]  Michael J. Gallivan,et al.  Organizational adoption and assimilation of complex technological innovations: development and application of a new framework , 2001, DATB.

[11]  Kenneth L. Kraemer,et al.  Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors , 2003, Eur. J. Inf. Syst..

[12]  Sebastián Bruque Cámara,et al.  Internet usage and competitive advantage: the impact of the Internet on an old economy industry in Spain , 2002, Internet Research.

[13]  David L. Paul,et al.  A Field of Study of the Effect of Interpersonal Trust on Virtual Collaborative Relationship Performance , 2004, MIS Q..

[14]  P. Humphreys,et al.  The implications of electronic B2B intermediaries for the buyer‐supplier interface , 2004 .

[15]  Ravinder Nath,et al.  Electronic Commerce and the Internet: Issues, Problems, and Perspectives , 1998 .

[16]  Jason Stevens,et al.  Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation , 2007 .

[17]  V. Mahajan,et al.  An analysis of e-business adoption and its impact on business performance , 2003 .

[18]  Souren Paul,et al.  Exploring the Roles of Intermediaries in Collective Memory-Supported Electronic Negotiation: A Theoretical Framework , 2006, Int. J. E Bus. Res..

[19]  R. Daft.  A Dual-Core Model of Organizational Innovation , 1978 .

[20]  Frank G. Goethals,et al.  Editorial Preface : International Journal of E-Business Research , 2022 .

[21]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[22]  Marcin Paprzycki,et al.  Utilizing Semantic Web and Software Agents in a Travel Support System , 2009 .

[23]  H. Chang,et al.  The relationship between network structure and international channel performance: a moderating effect of E-business activity , 2008 .

[24]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

[25]  Wayne Pease,et al.  Development of an Ontology to Improve Supply Chain Management (SCM) in the Australian Timber Industry , 2007 .

[26]  E. B. Swanson,et al.  Information systems innovation among organizations , 1994 .

[27]  A. Meyer,et al.  Organizational Assimilation of Innovations: A Multi-Level Contextual Analysis , 1988 .

[28]  Nirvikar Singh.  Encyclopedia of E-Business Development and Management in the Global Economy , 2010 .

[30]  Duy Ngan Le,et al.  Web Service Discovery, Composition, and Interoperability , 2010 .

[31]  Nancy M. Levenburg.  Does Size Matter? Small Firms' Use of E-Business Tools in the Supply Chain , 2005, Electron. Mark..

[32]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[33]  Jing Zhao,et al.  An Empirical Study of E-Business Implementation Process in China , 2008, IEEE Transactions on Engineering Management.

[34]  B. Unhelkar.  Handbook of Research in Mobile Business, Second Edition: Technical, Methodological and Social Perspectives , 2009 .

[35]  Chris F. Kemerer,et al.  The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps , 1999, Inf. Syst. Res..

[36]  J. Van beveren,et al.  The Use of Electronic Commerce by SMEs in Victoria, Australia , 2002 .

[37]  J. A. Boon,et al.  Knowledge management in eBusiness and customer relationship management: South African case study findings , 2004, Int. J. Inf. Manag..

[38]  Kevin Zhu,et al.  Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level , 2006, Inf. Manag..

[39]  Mahesh Raisinghani,et al.  Mobile Devices and Mobile Applications: Key Future Trends , 2009 .

[40]  Ismael Rodríguez,et al.  Analyzing the Privacy of a Vickrey Auction Mechanism , 2006, Int. J. E Bus. Res..

[41]  R. Zmud.  Diffusion of Modern Software Practices: Influence of Centralization and Formalization , 1982 .

[42]  K. Ramamurthy,et al.  Organizational and Interorganizational Determinants of EDI Diffusion and Organizational Performance: A Causal Model , 1999, J. Organ. Comput. Electron. Commer..

[43]  Thomas F. Stafford.  Computer Self-Efficiency as an Antecedent to the Acceptance of Instant Messenger Technology , 2005, Int. J. E Bus. Res..

[44]  Jung P. Shim,et al.  Factors influencing corporate web site adoption: a time-based assessment , 2001, Inf. Manag..

[45]  J. L. Pierce,et al.  Organization Structure, Individual Attitudes and Innovation , 1977 .

[46]  F. Damanpour,et al.  Research on innovation in organizations: Distinguishing innovation-generating from innovation-adopting organizations , 2006 .

[47]  Kenneth L. Kraemer,et al.  Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies , 2006, Eur. J. Inf. Syst..

[48]  N. Sanders.  An empirical study of the impact of e-business technologies on organizational collaboration and performance , 2007 .

[49]  Kenneth L. Kraemer,et al.  The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business , 2006, Manag. Sci..

[50]  In Lee,et al.  Electronic Business: Concepts, Methodologies, Tools, and Applications , 2008 .

[51]  R. Frambach.  An Integrated Model of Organizational Adoption and Diffusion of Innovations , 1993 .

[52]  Gary Saunders.  Commercial Use of the Internet: Some Pros and Cons , 2011 .

[53]  V. A. Thompson.  Bureaucracy and innovation , 1969 .