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An examination of the generative mechanisms of value in big data-enabled supply chain management research

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  • Royston Meriton
  • Rajinder Bhandal
  • Gary Graham
  • Anthony Brown

Abstract

Big data technologies (BDT) are the latest instalments in a long line of technological disruptions credited with advancing the field of supply chain management (SCM) from a purely clerical function to a strategic necessity. Yet, despite the wave of optimism about the utility of BDT in SCM, the origins of value in a BDT-enabled supply chain are not well understood. This study examines the generative mechanisms of value creation in such a supply chain by a two-pronged approach. First, we interrogate the theoretical raisons d’être of BDT in SCM. Second, we examine the evidence that support the value-added potential of BDT in SCM informed by extant empirical and quantitative studies (EQS). Taken together, our analyses reveal three key findings. First, in extending the dynamic capabilities perspective, we deduced that micro-founded rather than macro-founded studies tend to be more instructive to practice. Second, we discovered that the generative mechanisms of value in a BDT-enabled supply chain operate at the level of supply chain processes. And thirdly, we found that resilience and agility are the most important dynamic capabilities that have emerged from current BDT-enabled SCM research. Insights for policy, practice, theory, and future research are discussed.

Suggested Citation

  • Royston Meriton & Rajinder Bhandal & Gary Graham & Anthony Brown, 2021. "An examination of the generative mechanisms of value in big data-enabled supply chain management research," International Journal of Production Research, Taylor & Francis Journals, vol. 59(23), pages 7283-7310, December.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:23:p:7283-7310
    DOI: 10.1080/00207543.2020.1832273
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    Cited by:

    1. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).

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