Analyzing the macro-level dimensions of the circular economy based on the combined approach of Meta-Synthesis and fuzzy cognitive map

Document Type : Research Paper

Authors

1 PhD student in Industrial Management, Faculty of Administrative Sciences and Economics, Mazandaran University, Babolsar, Iran.

2 Professor, Department of Industrial Management, Faculty of Administrative Sciences and Economics, Mazandaran University, Babolsar, Iran.

3 Assistant Professor, Department of Industrial Management, Faculty of Administrative Sciences and Economics, Mazandaran University, Babolsar, Iran.

4 Professor, Department of Industrial Engineering, Faculty of Technology and Engineering, Non-Profit University of Science and Technology, Babol, Iran.

10.30497/smt.2024.244711.3481

Abstract

Circular economy as a new non-linear view in the fields of production and consumption. The macro- level includes policies and decisions related to it.it is the gathering place of all procedures and processes at the micro and meso levels. research, using the method of Meta-Synthesis, fuzzy Delphi & fuzzy Cognitive Maps, identify the effective components and measures at the macro- level and how the causal relationships between them are. the articles related to the circular economy from 2015 to 2020 have been used as criteria. 104 articles were studied from Web of Science and Scopus. In order to evaluate the agreement between codings, Kappa test were used. The effective components and measures were drawn in four categories of macro policies, measures, infrastructures and culture and awareness, categorization and integrative fuzzy cognitive maps of experts. The credit weight of the effect in the integrated fuzzy cognitive maps shows the efficient management of natural and environmental resources, providing training to customers and companies, formulating policies and supporting incentives and activating the markets of second-hand and recycled products. They are the most important.

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  • Receive Date: 20 June 2023
  • Revise Date: 12 December 2023
  • Accept Date: 22 December 2023