Organizations are recently facing severe global disruptive events requiring a reconfiguration of strategies and channel design in most industries. Supply Chain Resilience (SCRES) is crucial to cope with disruptions hence to meet the final objective of satisfying customer demand. This work has two main goals. It proposes a theoretical framework that analyzes the evolution in the interpretation of SCRES, based on a research of the University of Verona financed by Veneto Region. Then, it presents an empirical investigation – by using a Structural Equation Modelling (SEM) approach – on a sample of Italian companies that analyses supply chain (SC) strategies, based on research project developed by Politecnico di Bari and University of Verona sponsored by FISR. The results show key SCRES challenges and how SC strategies allow to cope with disruptive events and their impact on the resilience of supply chains.

Supply Chain Resilience strategies to cope with disruptive events. A literature review and a study on Italian firms

Baldi Benedetta;Gaudenzi Barbara
;
2022

Abstract

Organizations are recently facing severe global disruptive events requiring a reconfiguration of strategies and channel design in most industries. Supply Chain Resilience (SCRES) is crucial to cope with disruptions hence to meet the final objective of satisfying customer demand. This work has two main goals. It proposes a theoretical framework that analyzes the evolution in the interpretation of SCRES, based on a research of the University of Verona financed by Veneto Region. Then, it presents an empirical investigation – by using a Structural Equation Modelling (SEM) approach – on a sample of Italian companies that analyses supply chain (SC) strategies, based on research project developed by Politecnico di Bari and University of Verona sponsored by FISR. The results show key SCRES challenges and how SC strategies allow to cope with disruptive events and their impact on the resilience of supply chains.
978-88-943918-8-6
Supply chain resilience, Supply chain strategies, Structural Equation Modelling (SEM)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1079039
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