A supply chain finance risk management model for the electric vehicle supply chain: a data-driven analysis

Abstract

Government policies and financial regulations, supply chain risk assessments, and technology have made electric vehicle (EV) supply chain challenging for Thailand to adopt and implement (SCF) effectively. This study aims to perform a data-driven analysis that provides insight into SCF risk management and inputs for an EV supply chain. Prior studies are lacking to propose a data driven SCF risk management model and present the model in the EV supply chain. This study proposed a hybrid approach to validate the attributes and formed the hierarchical structure. This study contributes insights into a valid SCF risk management hierarchical structure, identifies the causal interdependent relationships among the attributes, and determines the attributes for the model. The results show that financing risk control and global SCF strategies are needed for improvement. The bullwhip effect, decision-making processes, bank credit, corporate social responsibility, and reverse factoring are important for practices.