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A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects
Abstract
Abstract: Corporate social responsibility (CSR) is a concept that has gained increasing importance in recent years and represents individuals and organizations that conduct their activities with awareness of their social, cultural, economic, and environmental responsibilities. Organizations undertake various projects to provide social benefits, but the cost-benefit balance of these projects must be evaluated to ensure the efficient use of limited resources. Because this process involves a complex decision-making problem involving numerous criteria and uncertainties, multi-criteria decision-making methods that can model uncertainties more realistically contribute significantly to the process.
In this study, the fuzzy TOPSIS method was used to evaluate CSR projects planned for implementation by a district municipality. Based on a literature review and expert opinions, a decision model was created by identifying ten evaluation criteria and seven alternative projects encompassing the economic, social, environmental, and governance dimensions of CSR. The results indicated that a project aimed at strengthening women's roles in social and economic life through women's cooperatives was prioritized. However, a project based on accessibility but weak sustainability and stakeholder engagement was ranked last. These results highlight the importance of considering social contribution, economic development, and sustainable development goals in the evaluation of CSR projects.
Keywords
References
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Details
Primary Language
English
Subjects
Theory of Computation (Other)
Journal Section
Research Article
Early Pub Date
December 16, 2025
Publication Date
December 16, 2025
Submission Date
November 3, 2025
Acceptance Date
November 24, 2025
Published in Issue
Year 2025 Volume: 21 Number: 2
APA
Arslan, B. B., Erbaş, B., & Yildiz, A. (2025). A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects. Electronic Letters on Science and Engineering, 21(2), 84-98. https://izlik.org/JA45TP98WL
AMA
1.Arslan BB, Erbaş B, Yildiz A. A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects. Electronic Letters on Science and Engineering. 2025;21(2):84-98. https://izlik.org/JA45TP98WL
Chicago
Arslan, Beyza Betül, Birgül Erbaş, and Aytaç Yildiz. 2025. “A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects”. Electronic Letters on Science and Engineering 21 (2): 84-98. https://izlik.org/JA45TP98WL.
EndNote
Arslan BB, Erbaş B, Yildiz A (December 1, 2025) A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects. Electronic Letters on Science and Engineering 21 2 84–98.
IEEE
[1]B. B. Arslan, B. Erbaş, and A. Yildiz, “A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects”, Electronic Letters on Science and Engineering, vol. 21, no. 2, pp. 84–98, Dec. 2025, [Online]. Available: https://izlik.org/JA45TP98WL
ISNAD
Arslan, Beyza Betül - Erbaş, Birgül - Yildiz, Aytaç. “A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects”. Electronic Letters on Science and Engineering 21/2 (December 1, 2025): 84-98. https://izlik.org/JA45TP98WL.
JAMA
1.Arslan BB, Erbaş B, Yildiz A. A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects. Electronic Letters on Science and Engineering. 2025;21:84–98.
MLA
Arslan, Beyza Betül, et al. “A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects”. Electronic Letters on Science and Engineering, vol. 21, no. 2, Dec. 2025, pp. 84-98, https://izlik.org/JA45TP98WL.
Vancouver
1.Beyza Betül Arslan, Birgül Erbaş, Aytaç Yildiz. A Fuzzy TOPSIS Based Decision-Making Model for the Evaluation of Corporate Social Responsibility Projects. Electronic Letters on Science and Engineering [Internet]. 2025 Dec. 1;21(2):84-98. Available from: https://izlik.org/JA45TP98WL