Examining the diffusion of electronic supply chain management with external antecedents and firm performance: A multi-stage analysis

In modern business, competition is no longer between organizations, but among supply chains. Supply chain management (SCM) is the major weapon for firm's competition. e-SCM implementation is the key to the success in SCM practice. Innovation diffusion theory (IDT) with multi-stage analysis provides insight into the complicated process. Several key external antecedents affect the rate of e-SCM diffusion, in particular, technological and collaborative structures. Little research on IOS has discussed the performance impacts from the diffusion perspective among trading partners. Studies on IT performance have been traditionally focused on financial performance and inconclusive in their results. This study thus considers both financial and non-financial performances in a complementary manner. Grounding on IDT and relevant theories, this study proposes a novel research model for the relationships among external antecedents, stage-based e-SCM diffusion, and firm performance. Empirical findings have concluded the relative effects of external antecedents on diffusion stages and in turn, firm performance.

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

[2]  Marios C. Angelides,et al.  A model and a performance measurement system for collaborative supply chains , 2006, Decis. Support Syst..

[3]  T. Corsi,et al.  Adopting new technologies for supply chain management , 2003 .

[4]  Yolande E. Chan IT Value: The Great Divide Between Qualitative and Quantitative and Individual and Organizational Measures , 2000, J. Manag. Inf. Syst..

[5]  Kenneth S. Law,et al.  Toward A Taxonomy of Multidimensional Constructs , 1998 .

[6]  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..

[7]  Thomas M. Corsi,et al.  DIFFUSION OF SUPPLY CHAIN TECHNOLOGIES , 2004 .

[8]  R. Narasimhan,et al.  Effect of supply chain integration on the relationship between diversification and performance: evidence from Japanese and Korean firms , 2002 .

[9]  Nabeel A. Y. Al-Qirim The Adoption of eCommerce Communications and Applications Technologies in Small Businesses in New Zealand , 2006, AICCSA.

[10]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[11]  Shu Lin,et al.  Plant Information Systems, Manufacturing Capabilities, and Plant Performance , 2006, MIS Q..

[12]  Varun Grover,et al.  The influence of information technology diffusion and business process change on perceived productivity: The IS executive's perspective , 1998, Inf. Manag..

[13]  Y. Tao,et al.  Understanding business-level innovation technology adoption , 2009 .

[14]  Robert G. Fichman,et al.  The Role of Aggregation in the Measurement of IT-Related Organizational Innovation , 2001, MIS Q..

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

[16]  Mani Subramani,et al.  How Do Suppliers Benefit from Information Technology Use in Supply Chain Relationships? , 2004, MIS Q..

[17]  Alan Simon,et al.  Adoption and diffusion in technology implementation: a supply chain study , 2004 .

[18]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[19]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[20]  Bhanu S. Ragu-Nathan,et al.  The impact of supply chain management practices on competitive advantage and organizational performance , 2006 .

[21]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

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

[23]  K. Ramamurthy,et al.  Determinants of EDI adoption in the transportation industry , 1997 .

[24]  Rajiv Kohli,et al.  Performance Impacts of Information Technology: Is Actual Usage the Missing Link? , 2003, Manag. Sci..

[25]  G. E. Smith,et al.  A critical balance: collaboration and security in the IT-enabled supply chain , 2007 .

[26]  A. Sánchez,et al.  Supply chain flexibility and firm performance , 2005 .

[27]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[28]  Carol Stoak Saunders,et al.  Emerging Electronic Partnerships: Antecedents and Dimensions of EDI Use from the Supplier's Perspective , 1998, J. Manag. Inf. Syst..

[29]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.

[30]  Sarma R. Nidumolu The impact of interorganizational systems on the form and climate of seller-buyer relationships , 1989, International Conference on Interaction Sciences.

[31]  Cheol Park,et al.  Mobile technology usage and B2B market performance under mandatory adoption , 2008 .

[32]  Zach G. Zacharia,et al.  The nature of interfirm partnering in supply chain management , 2000 .

[33]  Rajiv Kohli,et al.  Information Technology Payoff in the Health-Care Industry: A Longitudinal Study , 2000, J. Manag. Inf. Syst..

[34]  Benita M. Beamon,et al.  Measuring supply chain performance , 1999 .

[35]  S. Vickery,et al.  The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships , 2003 .

[36]  M. Barratt,et al.  Exploring the experiences of collaborative planning initiatives , 2001 .

[37]  Gregory E. Truman,et al.  Integration in Electronic Exchange Environments , 2000, J. Manag. Inf. Syst..

[38]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[39]  Kuldeep Kumar,et al.  Sustainable Collaboration: Managing Conflict and Cooperation in Interorganizational Systems , 1996, MIS Q..

[40]  G. Stock,et al.  Enterprise logistics and supply chain structure: the role of fit , 2000 .

[41]  R. Hirschheim,et al.  Critical issues in information systems research , 1987 .

[42]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[43]  Thompson S. H. Teo,et al.  Assimilation and Diffusion of Web Technologies in Supply-Chain Management: An Examination of Key Drivers and Performance Impacts , 2004, Int. J. Electron. Commer..

[44]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[45]  Anish Bhimani,et al.  Securing the commercial Internet , 1996, CACM.

[46]  Hefu Liu,et al.  How Do Mediated and Non-Mediated Power Affect Electronic Supply Chain Management System Adoption? The Mediating Effects of Trust and Institutional Pressures , 2009, Decis. Support Syst..

[47]  Sree Nilakanta,et al.  Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective , 1994, J. Manag. Inf. Syst..

[48]  Varun Grover,et al.  The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organizations , 1993, J. Manag. Inf. Syst..

[49]  Cynthia P. Ruppel An information systems perspective of supply chain tool compatibility: the roles of technology fit and relationships , 2004, Bus. Process. Manag. J..

[50]  I. Ajzen The theory of planned behavior , 1991 .

[51]  Blake Ives,et al.  Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effectiveness in Basic It Skills Training Author(s): Piccoli Et Al./web-based Virtual Learning Environments Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effe , 2022 .

[52]  Sue A. Conger,et al.  INNOVATIONS : A CLASSIFICATION BY IT LOCUS OF IMPACT AND RESEARCH APPROACH , 2002 .

[53]  K. Lewin,et al.  Group decision and social change. , 1999 .

[54]  R. M. Monczka,et al.  Purchasing and Supply Management: Trends and Changes Throughout the 1990s , 1998 .

[55]  R. Handfield,et al.  Supply Chain Management: Supplier Performance and Firm Performance , 1998 .

[56]  M. Frohlich,et al.  Arcs of integration: an international study of supply chain strategies , 2001 .

[57]  Darryl D. Wilson,et al.  Supply management orientation and supplier/buyer performance , 2000 .

[58]  Rajagopal Palaniswamy,et al.  An innovation - diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model , 2002, Inf. Manag..

[59]  Akbar Zaheer,et al.  Electronic integration and strategic advantage: a quasi-experimental study in the insurance industry , 1989, ICIS '89.

[60]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[61]  이훈,et al.  지각된 유용성(Perceived Usefulness)의 영향분석 , 2004 .

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

[63]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

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

[65]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[66]  Haim Mendelson,et al.  Clockspeed and Informational Response: Evidence from the Information Technology Industry , 1998, Inf. Syst. Res..

[67]  Philip Yetton,et al.  Strategic Payoff from EDI as a Function of EDI Embeddedness , 2000, J. Manag. Inf. Syst..

[68]  K. Ramamurthy,et al.  The Role of Interorganizational and Organizational Factors on the Decision Mode for Adoption of Interorganizational Systems , 1995 .

[69]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[70]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[71]  E. Brynjolfsson,et al.  Computing Productivity: Firm-Level Evidence , 2003, Review of Economics and Statistics.

[72]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

[73]  Roger G. Schroeder,et al.  THE IMPACT OF ELECTRONIC DATA INTERCHANGE ON DELIVERY PERFORMANCE , 2001 .

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

[75]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[76]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[77]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[78]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[79]  Robert W. Zmud,et al.  Measuring technology incorporation/infusion , 1992 .

[80]  D. Russell,et al.  People and information technology in the supply chain: Social and organizational influences on adoption , 2004 .

[81]  Tridas Mukhopadhyay,et al.  Interdependent Benefits from Interorganizational Systems: Opportunities for Business Partner Reengineering , 1994, J. Manag. Inf. Syst..

[82]  J. Mentzer,et al.  SUPPLY CHAIN COLLABORATION: THE ENABLERS, IMPEDIMENTS, AND BENEFITS , 2000 .

[83]  Kenneth L. Kraemer,et al.  Executives’ Perceptions of the Business Value of Information Technology: A Process-Oriented Approach , 2000, J. Manag. Inf. Syst..