posted on 2020-12-16, 15:20authored byRoy Meriton, Rajinder Bhandal, Gary Graham, Anthony Brown
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.
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 2 Nov 2020, available online: http://www.tandfonline.com/10.1080/00207543.2020.1832273.