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Assessment of Provinces Based on Business Losses Following the February 6 Earthquakes Using the Integrated RANCOM and KEMIRA-M Methods

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  • Pelin Toktaş

    (Engineering Faculty, Industrial Engineering, Başkent University, Ankara 06790, Türkiye)

Abstract

The earthquakes that impacted Kahramanmaraş on 6 February 2023, caused multidimensional destruction across the southeastern provinces of Türkiye and incurred severe business losses. This study provides a comparative assessment of four heavily affected provinces (Adıyaman, Hatay, Kahramanmaraş, and Malatya) in terms of business losses. Eleven criteria, grouped as human and operational losses (HOL) and commercial and economic losses (CEL), were considered in the evaluation. For the first time, the Ranking Comparison (RANCOM) method was integrated into the Modified Kemeny Median Ranks Accordance (KEMIRA-M) framework to determine the weights of the criteria and ensure consistency in the ranking process. The findings indicate that Hatay suffered the highest level of losses, followed by Adıyaman, Kahramanmaraş, and Malatya, respectively. This study fills a gap in the disaster economics literature by emphasizing workforce and business continuity dimensions, an area where business losses have received relatively less attention. The results highlight that post-disaster recovery policies should not be limited to physical reconstruction but should also emphasize human capital, supply chain resilience, and sustainability-focused recovery strategies.

Suggested Citation

  • Pelin Toktaş, 2025. "Assessment of Provinces Based on Business Losses Following the February 6 Earthquakes Using the Integrated RANCOM and KEMIRA-M Methods," Sustainability, MDPI, vol. 17(21), pages 1-30, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:21:p:9439-:d:1778478
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    References listed on IDEAS

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    1. Sefacan Ay & Gülin Feryal Can & Pelin Toktaş, 2023. "A Novel Multi-Criteria Decision-Making Approach Proposal Based On Kemira-M With Four Criteria Groups," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 22(03), pages 991-1032, May.
    2. Ananna Paul & Nagesh Shukla & Sanjoy Kumar Paul & Andrea Trianni, 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review," Sustainability, MDPI, vol. 13(13), pages 1-28, June.
    3. Pelin Toktaş & Gülin Feryal Can, 2019. "Stochastic KEMIRA-M Approach with Consistent Weightings," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 793-831, May.
    4. Ilyas Khan & Liliane Pintelon & Harry Martin, 2022. "The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review," Medical Decision Making, , vol. 42(2), pages 262-274, February.
    5. Aleksandras Krylovas & Edmundas Kazimieras Zavadskas & Natalja Kosareva, 2016. "Multiple criteria decision-making KEMIRA-M method for solution of location alternatives," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 29(1), pages 50-65, January.
    6. Pratibha Rani & Arunodaya Raj Mishra & Adel Fahad Alrasheedi & Ahmad M. Alshamrani & Rajeev Dwivedi, 2025. "New distance measure-based RANCOM-AROMAN approach for evaluating sustainable human resource management factors in the manufacturing firms," Operational Research, Springer, vol. 25(2), pages 1-37, June.
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