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Assessment of circular economy enablers: Hybrid ISM and fuzzy MICMAC approach
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2021-07-19 , DOI: 10.1016/j.jclepro.2021.128387
Mehul N. Patel 1 , Akshay A. Pujara 2 , Ravi Kant 3 , Rakesh Kumar Malviya 4
Affiliation  

The objective of this study is to identify the enablers of circular economy (CE) implementation in manufacturing organizations and to assess them to develop the inter-relationship amongst each enabler. Through extensive literature review and experts’ opinion total 21 circular economy enablers (CEEs) have been identified for the development of contextual relationship between them. Hybrid interpretive structural equation (ISM) modeling and fuzzy MICMAC approach is utilized for the development of hierarchical model that depict the contextual relationship as well as identify the interrelationship amongst each CEEs. Further, the developed hybrid framework would assist the top management in focusing on those CEEs that are most important for effective CE implementation. The identified CEEs possessing high driving power and low dependency power are strategically very important for CE implementation whereas CEEs having low driving power and high dependency power are performance dependent CEEs. The results shows that the top management commitment as the key enabler for initiating and designing best possible organization structure and organization culture which can lead to effective CE implementation. Globalization and environmental policy are the other two key enablers that have direct impact on the long-term strategic planning towards CE implementation. This study exhibits strong implications for both practitioners and academicians whereas the practitioners need to focus on the driving CEEs during implementation of CE within their organizations and academicians may persuade management to classify several issues that are substantial in tackling the CEEs.



中文翻译:

循环经济推动因素评估:混合 ISM 和模糊 MICMAC 方法

本研究的目的是确定制造组织中循环经济 (CE) 实施的推动因素,并评估它们以发展每个推动因素之间的相互关系。通过广泛的文献回顾和专家意见,共确定了 21 个循环经济推动因素 (CEE),用于发展它们之间的上下文关系。混合解释结构方程 (ISM) 建模和模糊 MICMAC 方法用于开发描述上下文关系以及识别每个 CEE 之间相互关系的分层模型。此外,开发的混合框架将帮助最高管理层关注对有效 CE 实施最重要的那些 CEE。识别出的具有高驱动力和低依赖性的 CEE 对于 CE 实施在战略上非常重要,而具有低驱动力和高依赖性的 CEE 是性能依赖的 CEE。结果表明,最高管理层的承诺是启动和设计最佳组织结构和组织文化的关键推动因素,可以导致有效的 CE 实施。全球化和环境政策是另外两个对 CE 实施的长期战略规划有直接影响的关键推动因素。

更新日期:2021-07-23
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