data analytics;
reconfiguration;
resilience;
responsiveness;
supply chains;
BIG DATA;
PREDICTIVE ANALYTICS;
MANAGEMENT;
PERFORMANCE;
VISIBILITY;
RECOVERY;
D O I:
10.1002/bsd2.374
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
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.
机构:
Middlesex Univ, Dept Business, Dubai, U Arab Emirates
Middlesex Univ, Business Sch, London, EnglandMiddlesex Univ, Dept Business, Dubai, U Arab Emirates
Balasubramanian, Sreejith
Shukla, Vinaya
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h-index: 0
机构:
Middlesex Univ, Business Sch, Operat Management, London, EnglandMiddlesex Univ, Dept Business, Dubai, U Arab Emirates