活力
业务
知识管理
竞争优势
分析
动态能力
大数据
计算机科学
价值(数学)
营销
数据科学
量子力学
操作系统
机器学习
物理
作者
Daniel Q. Chen,David S. Preston,Morgan Swink
标识
DOI:10.1080/07421222.2015.1138364
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.
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