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The role of information sharing and coordination in managing supply chain relationships

Author

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  • Hale Kaynak
  • Amelia S. Carr

Abstract

Although the literature contains much discussion of information sharing and coordination as critical factors in managing supply chains effectively, an integrated research model that investigates relationships among information sharing efficacy, coordination mechanisms, and buying firms' performance has not been offered. This study fills a gap in the supply chain management literature by empirically investigating the relationships among information sharing efficacy between firms, coordination mechanisms between firms, and the effects these relationships have on a buying firm's performance. We propose a theoretical model and test associated hypotheses by using cross-sectional mail survey data collected from a random sample of 223 firms. The implications of the findings for researchers and practitioners are discussed and further research directions are offered.

Suggested Citation

  • Hale Kaynak & Amelia S. Carr, 2012. "The role of information sharing and coordination in managing supply chain relationships," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 7(4), pages 246-271.
  • Handle: RePEc:ids:ijisma:v:7:y:2012:i:4:p:246-271
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    Citations

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    Cited by:

    1. Ingrid Levana Gunawan & Togar M. Simatupang, 2014. "Pharmaceutical product distribution with demand information sharing," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 74-93.
    2. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    3. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.

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