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Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility

Rameshwar Dubey (Montpellier Business School, Montpellier, France)
Angappa Gunasekaran (School of Business and Public Administration, California State University, Bakersfield, California, USA)
Stephen J. Childe (Plymouth Business School, Plymouth University, Plymouth, UK)

Management Decision

ISSN: 0025-1747

Article publication date: 26 March 2018

Issue publication date: 20 September 2019




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.


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.


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.


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.



The authors express the sincere thanks to the Editor-in-Chief, the Managing Editor and the Associate Editor. The authors thank ACMA and the McKinsey India for their continued support in data collection. Finally, the authors thank the two anonymous reviewers for their valuable inputs.


Dubey, R., Gunasekaran, A. and Childe, S.J. (2019), "Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility", Management Decision, Vol. 57 No. 8, pp. 2092-2112.



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Copyright © 2018, Emerald Publishing Limited

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