竞争优势
适度
意外事故
独创性
动态能力
权变理论
大数据
灵活性(工程)
知识管理
供应链
价值(数学)
分析
供应链管理
路径分析(统计学)
计算机科学
营销
数据科学
业务
心理学
管理
创造力
数据挖掘
社会心理学
经济
语言学
哲学
机器学习
作者
Rameshwar Dubey,Angappa Gunasekaran,Stephen J. Childe
出处
期刊:Management Decision
[Emerald (MCB UP)]
日期:2018-03-26
卷期号:57 (8): 2092-2112
被引量:398
标识
DOI:10.1108/md-01-2018-0119
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.
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