The role of supply chain analytics on supply chain responsiveness, resilience, and restoration (3Rs) capabilities in the United Arab Emirates

Abstract

This paper responds to calls for research and conceptualizes resilience, responsiveness and reconfigurable (3Rs) capabilities required for handling disruptions in pre-disruption, during disruption and post-disruption stages. This paper examined the impact of analytics on 3Rs capabilities in the supply chain context building on the tenets of contingency theory. Drawing on survey data obtained from individuals with managerial positions in firms operating in the United Arab Emirates (n = 151), this study investigates how supply chain analytics foster 3Rs capacities in the face of a pandemic using canonical correlation and linear regression analyses. Supply chain analytics is a relevant predictor for supply chain (i) resilience, (ii) responsiveness, and (iii) restoration/reconfiguration. Inevitable supply chain disruptions call for investment and integration of digital tools like supply chain analytics because they offer timely information for informed decision-making. This work provides theoretical contributions to the domain of interest by exploring the role of supply chain analytics on the 3Rs capabilities.