login

Big data and predictive analytics for supply chain and organizational performance

Journal of Business ResearchPublished 2 September 2016
Angappa Gunasekaran, Θάνος Παπαδόπουλος, Rameshwar Dubey, Samuel Fosso Wamba, Stephen J. Childe, Benjamin T. Hazen
Citations1,076
SJR quartileQ1
SJR score3.50
SNIP3.35

TL;DR

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 relatedto BDPA assimilation under the mediator effect of BDPA routinization, and positivelyrelated to SCP and OP.

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.

Keywords

Business, Management and Accounting