Contribution of big data analytics to risks and disruptions mitigation and agility performance

Abstract

The main objective of this study is to understand the mechanisms by which supply chain data analytics (SCDA) capabilities impact supply chain agility performance (SCAP) directly or through the mediation of other capabilities, particularly supply chain risk mitigation (SCRMI), supply chain robustness (SCROB), and supply chain resilience (SCRES). The study is based on survey data collected from 203 foreign companies in global value chains located in Morocco's industrial acceleration zones, whose legal status is assimilated to foreign territory. Respondents were mainly senior and middle managers with experience in general management and operations and supply chain management. Validity and reliability analyses as well as hypothesis testing were performed through structural equation modeling (SEM) using SPSS Amos. The results showed that SCDA capabilities strengthen the capabilities of SCRMI, SCROB, and SCRES and indirectly improve SCAP through partial and exclusive mediation of SCRES capability. The results of this study revealed the importance of developing SCDA capabilities for strengthening risks and disruptions mitigation capabilities and improving SCAP. Also, optimizing the return on investment in SCDA capabilities should incorporate dedicated risks and disruptions mitigation tools and alerts to facilitate supply chain managers' decision making in this area.