ORCID
- SJ Childe: 0000-0002-9476-4209
Abstract
The purpose of this paper is to examine when and how organizations build big data analytics capability to improve supply chain agility and gain competitive advantage. We grounded our theoretical framework in two perspectives the dynamic capabilities view (DCV) and contingency theory (CT). To test our research hypotheses, we gathered 173 usable-responses using a pre-tested questionnaire. Our results suggest that big data analytics capability has a positive and significant effect on supply chain agility and competitive advantage. Further, our results support our hypothesis that organizational flexibility has a positive and significant moderation effect on the path joining big data analytics capability and supply chain agility. However, contrary to our belief, we found no support for the moderation effect of organizational flexibility on the path joining big data analytics capability and competitive advantage. The study makes some useful contributions to the literature on big data analytics capability, supply chain agility, organizational flexibility and competitive advantage. Moreover, our results may further motivate future scholars to replicate our findings using longitudinal data.
DOI
10.1108/MD-01-2018-0119
Publication Date
2018-03-26
Publication Title
Management Decision
ISSN
1751-1348
Embargo Period
2019-09-06
Keywords
analytics capability, Big Data, big data analytics capability, Contingency theory, dynamic capability view
Recommended Citation
Dubey, R., Gunasekaran, A., & Childe, S. (2018) 'Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility', Management Decision, . Available at: https://doi.org/10.1108/MD-01-2018-0119
