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Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework

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  • Lin, Hsiu-Fen

Abstract

Based on the technological innovation literature and technology–organization–environment framework, this study develops a research model to investigate the determinants of electronic supply chain management system (e-SCM) adoption across non-adopters and adopters. The research model examines the influence of technological context (perceived benefits and perceived costs), organizational context (firm size, top management support, and absorptive capacity), and environmental context (trading partners and competitive advantage) on e-SCM adoption. Data gathered from 283 IS managers (127 for non-adopters and 156 for adopters) in large Taiwanese firms were employed to test the relationships between the research model constructs using the logistic regression analysis. The results reveal that firms with certain perceived benefits, perceived costs, top management support, absorptive capacity, and competitive pressure are more likely to adopt e-SCM. While technological context is a major determinant of the decision to adopt, it has no direct effect on the extent of e-SCM adoption. The extent of e-SCM adoption is mainly determined by organizational and environmental contexts. Implications for practice and research are discussed.

Suggested Citation

  • Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    • Handle: RePEc:eee:tefoso:v:86:y:2014:i:c:p:80-92
    DOI: 10.1016/j.techfore.2013.09.001
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    References listed on IDEAS

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    1. Teo, Thompson S.H. & Lin, Sijie & Lai, Kee-hung, 2009. "Adopters and non-adopters of e-procurement in Singapore: An empirical study," Omega, Elsevier, vol. 37(5), pages 972-987, October.
    2. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Ruby Roy Dholakia & Nir Kshetri, 2004. "Factors Impacting the Adoption of the Internet among SMEs," Small Business Economics, Springer, vol. 23(4), pages 311-322, November.
    5. Buxmann, Peter & Ahsen, Anette von & Martin Diaz, Luis & Wolf, Kristina, 2004. "Usage and Evaluation of Supply Chain Management Software - Results of an Empirical Study in the European Automotive Industry," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37792, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Robert W. Zmud, 1982. "Diffusion of Modern Software Practices: Influence of Centralization and Formalization," Management Science, INFORMS, vol. 28(12), pages 1421-1431, December.
    7. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    8. Lu, Jianjun & Bowles, Marcus, 2013. "How Will Nanotechnology Affect Agricultural Supply Chains?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 16(2), pages 1-21, May.
    9. Ragu-Nathan, Bhanu S. & Apigian, Charles H. & Ragu-Nathan, T. S. & Tu, Qiang, 2004. "A path analytic study of the effect of top management support for information systems performance," Omega, Elsevier, vol. 32(6), pages 459-471, December.
    10. Yolande E. Chan & Sid L. Huff & Donald W. Barclay & Duncan G. Copeland, 1997. "Business Strategic Orientation, Information Systems Strategic Orientation, and Strategic Alignment," Information Systems Research, INFORMS, vol. 8(2), pages 125-150, June.
    11. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
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