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Supply Chain Contingency Planning and Firm Adoption: An Initial Look at Differentiating the Innovators

Author

Listed:
  • Joseph B. Skipper
  • Joe B. Hanna
  • Casey G. Cegielski

Abstract

This research strives to identify key differentiating characteristics of firms adopting a supply chain contingency planning process from those that do not adopt. The researchers base their model on Rogers' innovation diffusion variables and supplement the model with additional variables of interest. Results of the research allow the researchers to propose a model of adoption. The results help the authors identify key predictor variables and significantly enhance the level of understanding of the adoption of supply chain contingency planning processes.

Suggested Citation

  • Joseph B. Skipper & Joe B. Hanna & Casey G. Cegielski, 2009. "Supply Chain Contingency Planning and Firm Adoption: An Initial Look at Differentiating the Innovators," Transportation Journal, John Wiley & Sons, vol. 48(2), pages 40-62, March.
    • Handle: RePEc:wly:transj:v:48:y:2009:i:2:p:40-62
    DOI: 10.2307/25702522
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    References listed on IDEAS

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    1. David A. Brown & Peter Booth & Francesco Giacobbe, 2004. "Technological and organizational influences on the adoption of activity‐based costing in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(3), pages 329-356, November.
    2. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
    4. David A. Harrison & Peter P. Mykytyn & Cynthia K. Riemenschneider, 1997. "Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests," Information Systems Research, INFORMS, vol. 8(2), pages 171-195, June.
    5. 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.
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    Cited by:

    1. David Swanson & Yoshinori Suzuki, 2020. "COVID‐19 Carves New Facets of Supply Chain Disruption," Transportation Journal, John Wiley & Sons, vol. 59(4), pages 325-334, November.

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