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Supply chain collaborative advantage: A firm's perspective

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  • Cao, Mei
  • Zhang, Qingyu

Abstract

In the past decades, firms have strived to achieve greater collaborative advantages with their supply chain partners. The objective of the study is to uncover the nature and characteristics of supply chain collaborative advantage from a focal firm's perspective. Collaborative advantage is defined as strategic benefits gained over competitors in the marketplace through supply chain partnering and partner enabled knowledge creation, and it relates to the desired synergistic outcome of collaborative activity that could not have been achieved by any firm acting alone. The research conceptualizes supply chain collaborative advantage as the five dimensions: process efficiency, offering flexibility, business synergy, quality, and innovation. Data were collected through a web survey of U.S. manufacturing firms in various industries. Reliable and valid instruments were developed through rigorous empirical analysis including structured interviews, Q-sort, and a large-scale study. Predictive validity is evaluated by demonstrating a strong and positive relationship between supply chain collaborative advantage and firm performance. The construct and measures in this study have provided a rich and structured understanding of collaborative advantage in a supply network. The results of the structural analysis indicate that supply chain collaborative advantage indeed has a bottom-line influence on firm performance.

Suggested Citation

  • Cao, Mei & Zhang, Qingyu, 2010. "Supply chain collaborative advantage: A firm's perspective," International Journal of Production Economics, Elsevier, vol. 128(1), pages 358-367, November.
  • Handle: RePEc:eee:proeco:v:128:y:2010:i:1:p:358-367
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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Fynes, Brian & Voss, Chris & de Burca, Sean, 2005. "The impact of supply chain relationship quality on quality performance," International Journal of Production Economics, Elsevier, vol. 96(3), pages 339-354, June.
    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. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    5. Jeffrey H. Dyer, 1996. "Does Governance Matter? Keiretsu Alliances and Asset Specificity as Sources of Japanese Competitive Advantage," Organization Science, INFORMS, vol. 7(6), pages 649-666, December.
    6. Kathy A. Stewart & Albert H. Segars, 2002. "An Empirical Examination of the Concern for Information Privacy Instrument," Information Systems Research, INFORMS, vol. 13(1), pages 36-49, March.
    7. Bruce Kogut, 1988. "Joint ventures: Theoretical and empirical perspectives," Strategic Management Journal, Wiley Blackwell, vol. 9(4), pages 319-332, July.
    8. Ding, Xiu-Hao & Huang, Rui-Hua, 2010. "Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation," European Journal of Operational Research, Elsevier, vol. 201(3), pages 949-959, March.
    9. Rikard Larsson & Sydney Finkelstein, 1999. "Integrating Strategic, Organizational, and Human Resource Perspectives on Mergers and Acquisitions: A Case Survey of Synergy Realization," Organization Science, INFORMS, vol. 10(1), pages 1-26, February.
    10. Naesens, Kobe & Gelders, Ludo & Pintelon, Liliane, 2009. "A swift response framework for measuring the strategic fit for a horizontal collaborative initiative," International Journal of Production Economics, Elsevier, vol. 121(2), pages 550-561, October.
    11. Fawcett, Stanley E. & Magnan, Gregory M., 2004. "Ten guiding principles for high-impact SCM," Business Horizons, Elsevier, vol. 47(5), pages 67-74.
    12. Allen Kaufman & Craig H. Wood & Gregory Theyel, 2000. "Collaboration and technology linkages: a strategic supplier typology," Strategic Management Journal, Wiley Blackwell, vol. 21(6), pages 649-663, June.
    13. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2009. "Negotiation of the revenue sharing contract: An agent-based systems approach," International Journal of Production Economics, Elsevier, vol. 122(2), pages 558-566, December.
    14. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    15. Bailey, Kate & Francis, Mark, 2008. "Managing information flows for improved value chain performance," International Journal of Production Economics, Elsevier, vol. 111(1), pages 2-12, January.
    16. Christopher D. Ittner & David F. Larcker, 1997. "The Performance Effects of Process Management Techniques," Management Science, INFORMS, vol. 43(4), pages 522-534, April.
    17. Vachon, Stephan & Klassen, Robert D., 2008. "Environmental management and manufacturing performance: The role of collaboration in the supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 299-315, February.
    18. Holweg, Matthias & Disney, Stephen & Holmström, Jan & Småros, Johanna, 2005. "Supply Chain Collaboration:: Making Sense of the Strategy Continuum," European Management Journal, Elsevier, vol. 23(2), pages 170-181, April.
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