供应链
价值(数学)
动态能力
现存分类群
大数据
功能(生物学)
供应链管理
生成语法
领域(数学)
价值链
知识管理
实证研究
透视图(图形)
计算机科学
业务
过程管理
营销
认识论
人工智能
哲学
生物
操作系统
机器学习
数学
进化生物学
纯数学
作者
Royston Francis Meriton,Rajinder Bhandal,Gary Graham,Anthony Cave Brown
标识
DOI:10.1080/00207543.2020.1832273
摘要
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.
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