Big data and predictive analytics for supply chain and organizational performance

Angappa Gunasekaran, Thanos Papadopoulos, Rameshwar Dubey, Samuel Fosso Wamba, Stephen J. Childe, Benjamin Hazen, Shahriar Akter

Research output: Contribution to journalArticlepeer-review

389 Scopus citations

Abstract

Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided.

Original languageEnglish (US)
Pages (from-to)308-317
Number of pages10
JournalJournal of Business Research
Volume70
DOIs
StatePublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Marketing

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