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

• 成果类型: Article
• 署名作者: Chen, Daniel Q.; Preston, David S.; Swink, Morgan
• 署名单位: Texas Christian University; Texas Christian University
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2015.1138364
• 发表日期: 2015
• 页码: 4-39
• 关键词: common method variance; information-technology; e-business; organizational-research; DYNAMIC CAPABILITIES; strategic resource; adoption; firm; assimilation; KNOWLEDGE

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.