Big data analytics capability in supply chain agility

By Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe. Management Decision, 2019

295 citations recorded by the source corpus.

Purpose The purpose of this paper is to examine when and how organizations build big data analytics capability (BDAC) to improve supply chain agility (SCA) and gain competitive advantage. Design/methodology/approach The authors grounded the theoretical framework in two perspectives: the dynamic capabilities view and contingency theory. To test the research hypotheses, the authors gathered 173 usable responses using a pre-tested questionnaire. Findings The results suggest that BDAC has a positive and significant effect on SCA and competitive advantage. Further, the results support the hypothesis that organizational flexibility (OF) has a positive and significant moderation effect on the path joining BDAC and SCA. However, contrary to the belief, the authors found no support for the moderation effect of OF on the path joining BDAC and competitive advantage. Originality/value The study makes some useful contributions to the literature on BDAC, SCA, OF, and competitive advantage. Moreover, the results may further motivate future scholars to replicate the findings using longitudinal data.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ca5931b4c08eb96d40c65e1b9f8e4db46bf0585b

How researchers see this paper

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In Management Information Systems

  1. Surajit Bag
  2. Jamal El Baz
  3. Salomée Ruel
  4. Ajay Kumar
  5. Shivam Gupta
  6. Uthayasankar Sivarajah
  7. Dmitry A. Ivanov

In Strategy and Management

  1. Liebing Cao
  2. Surajit Bag
  3. Jamal El Baz
  4. Huihui Zhong
  5. Salomée Ruel
  6. Ajay Kumar
  7. Shivam Gupta
  8. Uthayasankar Sivarajah

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