Analyzing the business models for circular economy implementation: a fuzzy TOPSIS approach
Autor: | Zafar Husain, Abid Haleem, Raghuvar D. Pathak, Annayath Maqbool, Danny Samson |
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Rok vydání: | 2021 |
Předmět: |
Operations research
Computer science Strategy and Management Circular economy Linear model Process design Management Science and Operations Research Business model Multiple-criteria decision analysis Fuzzy logic Industrial and Manufacturing Engineering Ranking Management of Technology and Innovation Product (category theory) |
Zdroj: | Operations Management Research. 14:256-271 |
ISSN: | 1936-9743 1936-9735 |
DOI: | 10.1007/s12063-021-00197-w |
Popis: | 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. |
Databáze: | OpenAIRE |
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