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A Systematic Review of Implementing Multi-Criteria Decision-Making (MCDM) Approaches for the Circular Economy and Cost Assessment

Author

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  • Ali Tighnavard Balasbaneh

    (LSBU Business School, London South Bank University, 103 Borough Road, London SE1 0AA, UK)

  • Silvio Aldrovandi

    (LSBU Business School, London South Bank University, 103 Borough Road, London SE1 0AA, UK)

  • Willy Sher

    (School of Architecture and Built Environment, College of Engineering, Science and Environment, The University of Newcastle (UON), University Drive, Callaghan, NSW 2308, Australia)

Abstract

This study advances circular economy initiatives by advocating for the use of Multi-Criteria Decision-Making (MCDM). MCDM methods address the complex multi-faceted aspects of a product or process. They enable conflicting calculations of energy, cost, environmental criteria, and payback periods to be balanced. A systematic critical systematic review and bibliometric analysis were conducted to investigate the contribution of MCDM to the circular economy. The Scopus database was the primary data source reviewed. The geographical distribution, main research sources, and keyword co-occurrences were analyzed across 31 peer-reviewed book chapters, conference papers, and journal articles. The journal Sustainability (Switzerland) had the most publications (4), followed by the Journal of Business Strategy and the Environment and the Journal of Cleaner Production, each with two articles. Recently MCDM has gained popularity as a tool for evaluating the circular economy. This growing interest may be attributed to the complexity of the circular economy, as MCDM effectively balances multiple environmental criteria while integrating evaluations of economic cost and social impact. Criteria are incommensurable as each criterion has a distinct unit of measurement, making it impossible to compare outcomes across different indicators. MCDM is thus an ideal technique for assessing different options by integrating criteria within testable frameworks. However, no established patterns for selecting specific MCDM methods were identified. This is despite some options (e.g., combinations of AHP and TOPSIS) being used more frequently than others. In conclusion, all the studies identified financial factors as the most significant or highly sensitive issue in the transition toward a circular economy.

Suggested Citation

  • Ali Tighnavard Balasbaneh & Silvio Aldrovandi & Willy Sher, 2025. "A Systematic Review of Implementing Multi-Criteria Decision-Making (MCDM) Approaches for the Circular Economy and Cost Assessment," Sustainability, MDPI, vol. 17(11), pages 1-24, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:5007-:d:1667730
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    References listed on IDEAS

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    1. Ana Nadazdi & Zorana Naunovic & Nenad Ivanisevic, 2022. "Circular Economy in Construction and Demolition Waste Management in the Western Balkans: A Sustainability Assessment Framework," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
    2. Ana Garcia-Bernabeu & Adolfo Hilario-Caballero & David Pla-Santamaria & Francisco Salas-Molina, 2020. "A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    3. Lee, Sir Yee & Hu, Jiayao & Lim, Ming K, 2021. "Maximising the circular economy and sustainability outcomes: An end-of-life tyre recycling outlets selection model," International Journal of Production Economics, Elsevier, vol. 232(C).
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    5. Alberto Martín-Martín & Mike Thelwall & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2021. "Correction to: Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 907-908, January.
    6. Nancy Bocken & Lars Strupeit & Katherine Whalen & Julia Nußholz, 2019. "A Review and Evaluation of Circular Business Model Innovation Tools," Sustainability, MDPI, vol. 11(8), pages 1-25, April.
    7. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    8. Camelia Delcea & Ionuț Nica & Irina Georgescu & Nora Chiriță & Cristian Ciurea, 2024. "Integrating Fuzzy MCDM Methods and ARDL Approach for Circular Economy Strategy Analysis in Romania," Mathematics, MDPI, vol. 12(19), pages 1-35, September.
    9. Chauhan, Chetna & Parida, Vinit & Dhir, Amandeep, 2022. "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    10. Fahime Lotfian Delouyi & Meisam Ranjbari & Zahra Shams Esfandabadi, 2023. "A Hybrid Multi-Criteria Decision Analysis to Explore Barriers to the Circular Economy Implementation in the Food Supply Chain," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    11. Mladen Krstić & Leonardo Agnusdei & Pamela Palmi & Tomas Baležentis, 2024. "Enabling organizations to strategically manage risks in circular supply chains," Business Strategy and the Environment, Wiley Blackwell, vol. 33(6), pages 5996-6009, September.
    12. Alberto Martín-Martín & Mike Thelwall & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2021. "Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 871-906, January.
    13. Amos Tversky & Itamar Simonson, 1993. "Context-Dependent Preferences," Management Science, INFORMS, vol. 39(10), pages 1179-1189, October.
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    2. Claudemir Tramarico & Antonella Petrillo & Herlandí Andrade & Valério Salomon, 2025. "Advancing Circular Supplier Selection: Multi-Criteria Perspectives on Risk and Sustainability," Sustainability, MDPI, vol. 17(15), pages 1-24, July.
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