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.

中文翻译：

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评估循环供应链管理绩效的层次结构：提高公司的生态创新和技术绩效


本研究开发并评估了半导体行业循环供应链管理绩效 （CSCMP） 的分层结构的有效性。以前的研究侧重于将技术性能与生态创新同步，以提高 CSCMP 的循环运营、经济效益、环境优势和社会效益。本研究采用混合数据驱动的方法，将定性和定量技术相结合，以开发分层结构并确定各种属性的等级，从而为决策者提供有价值的见解和实用指导。这种数据驱动的方法结合了内容和书目分析、熵加权法、模糊德尔菲法、探索性因子分析、模糊决策试验、评估实验室和模糊分析网络过程。这项研究的结果表明，利益相关者必须合作改善生态创新和技术性能，以增强 CSCMP。决策者必须优先考虑利益相关者的参与、风险和责任分担以及循环供应链内的协作。此外，服务创新和网络创新可以增强循环模型。