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

被引:269
|
作者
Dubey, Rameshwar [1 ]
Gunasekaran, Angappa [2 ]
Childe, Stephen J. [3 ]
机构
[1] Montpellier Business Sch, Montpellier, France
[2] Calif State Univ Bakersfield, Sch Business & Publ Adm, Bakersfield, CA USA
[3] Plymouth Univ, Plymouth Business Sch, Plymouth, Devon, England
关键词
Big data; Contingency theory; Dynamic capability view; Analytics capability; Big data analytics capability; FIRM PERFORMANCE; COMPETITIVE ADVANTAGE; PREDICTIVE ANALYTICS; DYNAMIC CAPABILITIES; ENVIRONMENTAL UNCERTAINTY; BUSINESS INTELLIGENCE; STRATEGIC FLEXIBILITY; MANAGEMENT RESEARCH; DATA SCIENCE; OPERATIONS;
D O I
10.1108/MD-01-2018-0119
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:2092 / 2112
页数:21
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