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

Author List: Chen, Daniel Q.; Preston, David S.; Swink, Morgan;
Journal of Management Information Systems, 2015, Volume 32, Issue 4, Page 4-39.
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 technologyÐorganizationÐenvironment (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. > >
Keywords: phrases; big data data analytics; dynamics capability theory; structural equation modeling ;survey research; TOE framework
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#153 0.175 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace key outcome behavior contextual longitudinal
#1 0.170 organizational organizations effectiveness factors managers model associated context characteristics variables paper relationships level attention environmental technological based maturity organization's relationship
#116 0.148 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#133 0.138 data predictive analytics sharing big using modeling set power inference behavior explanatory related prediction statistical generated substantially novel building million
#143 0.102 value business benefits technology based economic creation related intangible cocreation assessing financial improved key economics assess question created create understanding
#173 0.095 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#162 0.080 structural modeling scale equation implications economies large future framework perspective propose broad scope resulting identified leading analyzed second interviews analysis