How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management

被引:610
作者
Chen, Daniel Q. [1 ]
Preston, David S. [1 ]
Swink, Morgan [2 ]
机构
[1] Texas Christian Univ, Neeley Sch Business, Dept Informat Syst & Supply Chain Management, Ft Worth, TX 76129 USA
[2] Texas Christian Univ, Neeley Sch Business, Supply Chain Management, Ft Worth, TX 76129 USA
关键词
big data; data analytics; dynamics capability theory; structural equation modeling; survey research; TOE framework; COMMON METHOD VARIANCE; INFORMATION-TECHNOLOGY; E-BUSINESS; ORGANIZATIONAL-RESEARCH; DYNAMIC CAPABILITIES; STRATEGIC RESOURCE; ADOPTION; FIRM; ASSIMILATION; KNOWLEDGE;
D O I
10.1080/07421222.2015.1138364
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Despite numerous testimonials of first movers, the underlying mechanisms of organizations' big data analytics (BDA) usage deserves close investigation. Our study addresses two essential research questions: (1) How does organizational BDA usage affect value creation? and (2) What are key antecedents of organizational-level BDA usage? We draw on dynamic capabilities theory to conceptualize BDA use as a unique information processing capability that brings competitive advantage to organizations. Furthermore, we employ the technology-organization-environment (TOE) framework to identify and theorize paths via which factors influence the actual usage of BDA. Survey data collected from 161 U.S.-based companies show that: organizational-level BDA usage affects organizational value creation; the degree to which BDA usage influences such creation is moderated by environmental dynamism; technological factors directly influence organizational BDA usage; and organizational and environmental factors indirectly influence organizational BDA usage through top management support. Collectively, these findings provide a theory-based understanding of the impacts and antecedents of organizational BDA usage, while also providing guidance regarding what managers should expect from usage of this rapidly emerging technology.
引用
收藏
页码:4 / 39
页数:36
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