Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco-Innovation and Technological Performance

Abstract

This study develops and assesses the validity of a hierarchical structure for circular supply chain management performance (CSCMP) in the semiconductor industry. Previous studies have focused on synchronizing technological performance with eco-innovation to enhance the circular operations, financial benefits, environmental advantages, and social benefits of CSCMP. This study employs a hybrid data-driven approach that combines qualitative and quantitative techniques to develop a hierarchical structure and determine the ranks of various attributes, thereby providing decision-makers with valuable insights and practical guidance. Content and bibliographic analyses, the entropy-weighted method, the fuzzy Delphi method, exploratory factor analysis, fuzzy decision-making trials, evaluation laboratories, and fuzzy analytic network processes are incorporated in this data-driven approach. The findings of this research suggest that stakeholders must collaborate to improve eco-innovation and technological performance with the goal of enhancing CSCMP. Decision-makers must prioritize stakeholder engagement, risk and responsibility sharing, and collaboration within the circular supply chain. Additionally, service innovations and network innovations can enhance the circularity model.