Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. Issue 8 (12th September 2019)

• Record Type: Journal Article
• Authors: Dubey, Rameshwar; Gunasekaran, Angappa; Childe, Stephen J.
• Is Part Of: Management decision. Volume 57:Issue 8(2019)
• Page Start: 2092
• Page End: 2112
• Publication Date: 2019-09-12
• Subjects: Big data -- Contingency theory -- Dynamic capability view -- Analytics capability -- Big data analytics capability; Management -- Periodicals; 658.403
• DOI: 10.1108/MD-01-2018-0119
• Languages: English
• ISSNs: 0025-1747

Abstract

Abstract : 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.