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Outcomes of supply chain dependence asymmetry: a systematic review of the statistical evidence

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  • Dong-Young Kim
  • Bruce Fortado

Abstract

This literature review scrutinises 41 quantitative studies dealing with dependence asymmetry in supply chains. Strategically, behaviours ranging from exploitation to win-win problem solving can arise. Five research questions are explored. The systematic literature review method and a content analysis was applied to articles from premier journals in operations management and supply chain management. We found the number of studies markedly rose over the past 15 years. Five outcome categories (i.e. performance, relationship characteristics, practice and process, information sharing, and innovation) and three subcategories (i.e. supplier, customer and partner dependence) were identified that encompass each of the sample studies. The most commonly used theories proved to be resource dependence theory and transaction cost theory. We examined whether dependence asymmetry resulted in overall benefits or detriments. There were largely positive significant results in performance, practice and process, and information sharing. The results in relationship characteristics and innovation were mixed. The overall picture was more complex than the stronger firm simply taking advantage of the weaker firm.

Suggested Citation

  • Dong-Young Kim & Bruce Fortado, 2021. "Outcomes of supply chain dependence asymmetry: a systematic review of the statistical evidence," International Journal of Production Research, Taylor & Francis Journals, vol. 59(19), pages 5844-5866, October.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:19:p:5844-5866
    DOI: 10.1080/00207543.2020.1791999
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    Cited by:

    1. Gu, Jing & Shi, Xinyu & Wang, Junyao & Xu, Xun, 2024. "Examining the impact of market power discrepancy between supply chain partners on firm financial performance," International Journal of Production Economics, Elsevier, vol. 268(C).
    2. Huo, Baofeng & Liu, Ruolei & Tian, Min, 2022. "The bright side of dependence asymmetry: Mitigating power use and facilitating relational ties," International Journal of Production Economics, Elsevier, vol. 251(C).
    3. Zhitao Xu & Adel Elomri & Roberto Baldacci & Laoucine Kerbache & Zhenyong Wu, 2024. "Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective," Annals of Operations Research, Springer, vol. 338(2), pages 1359-1401, July.

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