Analyzing the business models for circular economy implementation: a fuzzy TOPSIS approach

  • Zafar Husain
  • , Annayath Maqbool
  • , Abid Haleem
  • , R. D. Pathak
  • , Danny Samson*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

The concept of the circular economy has acquired importance in the academic world. The corporate firms and governments believe that the pressure on the environment can be reduced by implementing the circular economic system. The switching of a linear economy to a circular economy requires to build new business models that overcome the limitations of the linear model of the economy. This paper aims to rank the business models for the successful adoption of the circular economy through the criteria by employing an appropriate multi-criteria decision making (MCDM) method. Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) has been used in this study. Eleven Business Models have been identified through literature review and analyzed based on nine criteria for the business model to be successful. The ranking of results indicates that the product and process design is the most important business models for the implementation of the circular economy. The findings of this research enhance the understanding about the relative importance of the several business models based on which the management can formulate an effective strategy to systematically adopt an appropriate business model for successful implementation of an economic system.

Original languageEnglish
Pages (from-to)256-271
Number of pages16
JournalOperations Management Research
Volume14
Issue number3-4
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Business models
  • Circular economy
  • Fuzzy TOPSIS
  • Supply chain management

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Management of Technology and Innovation

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