An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises

Ali Katrancı; Nilsen Kundakcı

doi:10.17093/alphanumeric.1930337

An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises

Abstract

Universities often operate social facilities that provide public services while conducting commercial activities under the status of economic enterprises. Due to this dual nature, these entities possess a hybrid managerial structure. This dual character makes the determination of an appropriate organizational model for such enterprises a multidimensional and strategic decision problem. This study focuses on identifying the most suitable organizational model for university social facility economic enterprises. To address the uncertainties and subjective evaluations involved in the decision-making process, a fuzzy logic–based multi-criteria decision-making (MCDM) approach was adopted. In this framework, the fuzzy simple weight calculation (FSIWEC) method was used to determine the weights of the evaluation criteria, while the fuzzy combined compromise solution (FCORASO) method was applied to rank the alternative organizational models. Within the proposed integrated model, economic, managerial, and social criteria were considered simultaneously, and the alternative organizational structures were comparatively analyzed. The findings provide decision makers with a systematic decision-support tool that balances public interest, service quality, and financial sustainability objectives. In addition, the study contributes to the literature by representing one of the first applications that employs the integrated FSIWEC-FCORASO approach to evaluate organizational models for university social facility economic enterprises.

Keywords

References

Akşehir, M. İ. (2016). Sosyal tesisler, iktisadi işletmeler ve tabi olduğu esas ve usuller. Denetişim, 11, 86–91. https://doi.org/https://izlik.org/JA42CZ45WH
Bakır, M., & Atalık, Ö. (2021). Application of Fuzzy AHP and Fuzzy MARCOS Approach for the Evaluation of E-Service Quality in the Airline Industry. Decision Making: Applications in Management and Engineering, 4(1), 127–152. https://doi.org/10.31181/dmame2104127b
Bouraima, M. B., & Badi, I. (2026). Evaluating the Strategies for Accessible Tourism in Cultural Heritage Sites: A Fuzzy SIWEC-RAWEC Methodology. Management Science Advances, 3(1), 106–120. https://doi.org/10.31181/msa31202634
Cao, J., Spulbar, C., Eti, S., Horobet, A., Yüksel, S., & Dinçer, H. (2025). Innovative approaches to green digital twin technologies of sustainable smart cities using a novel hybrid decision-making system. Journal of Innovation & Knowledge, 10(1), 100651. https://doi.org/10.1016/j.jik.2025.100651
Chen, V. Y., Lien, H.-P., Liu, C.-H., Liou, J. J., Tzeng, G.-H., & Yang, L.-S. (2011). Fuzzy MCDM approach for selecting the best environment-watershed plan. Applied Soft Computing, 11(1), 265–275. https://doi.org/10.1016/j.asoc.2009.11.017
Dereköy, F., Yaylalı, İ., Yüksel, S., Eti, S., & Dinçer, H. (2026). Integrating SIWEC and Koch snowflake fuzzy sets to prioritize trust factors in an artificial intelligence-based audit system. Future Technology, 5(1), 127–134. https://doi.org/10.55670/fpll.futech.5.1.11
El-Jaberi, I. K. A., Stojanović, I., Puška, A., Ljepava, N., & Prodanović, R. (2024). Selection of Renewable Energy Projects from the Investor's Point of View Based on the Fuzzy–Rough Approach and the Bonferroni Mean Operator. Sustainability, 16(22), 9929. https://doi.org/10.3390/su16229929
Eti, S., Yüksel, S., Dinçer, H., Çırak, A. N., Deveci, M., & Kadry, S. (2025). Strategy building for renewable energy adoption in regionalized supply chains-based logistic systems using a hybrid fuzzy decision-making approach. Case Studies on Transport Policy, 20, 101479. https://doi.org/10.1016/j.cstp.2025.101479

García-Alcaraz, J., Maldonado-Macías, A., Hernández-Arellano, J., Blanco-Fernández, J., Jiménez-Macías, E., & Sáenz-Díez Muro, J. (2016). Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach. Sustainability, 8(2), 157. https://doi.org/10.3390/su8020157
Gökalp, Y., Eti, S., Yüksel, S., & Dinçer, H. (2025). Towards Sustainable Healthcare: A Fuzzy Multi-Criteria Framework for Green Hospital Investments. Computer and Decision Making: An International Journal, 2, 419–424. https://doi.org/10.59543/comdem.v2i.10969
Katrancı, A., Kundakcı, N., & Arman, K. (2026). Fuzzy SIWEC and Fuzzy RAWEC Methods for Sustainable Waste Disposal Technology Selection. Spectrum of Operational Research, 3(1), 87–102. https://doi.org/10.31181/sor31202633
Kaya, Ö. (2025). Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure. Engineering Science and Technology, An International Journal, 64, 102027. https://doi.org/10.1016/j.jestch.2025.102027
Kaya, Ö., & Kabakuş, N. (2025). A data-driven spatial decision framework for assessing the relationship between logistics activities and heavy vehicle accident risks. Research in Transportation Business & Management, 62, 101440. https://doi.org/10.1016/j.rtbm.2025.101440
Kou, G., Eti, S., Yüksel, S., Dinçer, H., Acar, M., Ergün, E., & Çetinkaya, H. (2026). Advancing financial innovation in energy poverty solutions: a koch snowflake-based fuzzy decision support system. Financial Innovation, 12(1). https://doi.org/10.1186/s40854-025-00896-4
Lukić, R. (2025). Application of Fuzzy SIWEC and Rough MABAC Methods in the Evaluation of Trade Performance Dynamics in Serbia. Management and Economic Review, 10(2), 448–456. https://doi.org/10.24818/mer/2025.02-11
Nedeljković, Puška, et al. (2025). Evaluation of Criteria for Communication with Consumers of Agricultural Products. Proceedings of the International Conference on Business Excellence, 19(1), 713–720. https://doi.org/10.2478/picbe-2025-0057
Nedeljković, Vujić, et al. (2025). Decision support for the selection of table egg suppliers. Ekonomika Poljoprivrede, 72(4), 1409–1421. https://doi.org/10.59267/ekopolj25041409n
Puška, Božanić, et al. (2025). Application of Fuzzy-Rough Methodology to the Selection of Electric Tractors for Small Farms in Semberija. Journal of Fuzzy Extension and Applications, Online First. https://doi.org/10.22105/jfea.2025.482890.1663
Puška, Igić, et al. (2025). Application of Intuitionistic Fuzzy Approaches and Bonferroni Mean Operators in the Selection of Suppliers of Agricultural Equipment and Machinery for the Needs of the Agriculture 4.0 System. Mathematics, 13(14), 2268. https://doi.org/10.3390/math13142268
Puška, A., Nedeljković, M., Pamučar, D., Božanić, D., & Simić, V. (2024a). Application of the new simple weight calculation (SIWEC) method in the case study in the sales channels of agricultural products. Methodsx, 13, 102930. https://doi.org/10.1016/j.mex.2024.102930
Puška, Bosna, et al. (2025). Evaluation of the Housing Aggregation Model for Young People in Urban Areas. Journal of Urban Development and Management, 4(1), 58–70. https://doi.org/10.56578/judm040105
Puška, Adis, Nedeljković, M., Božanić, D., Štilić, A., & Muhsen, Y. R. (2024b). Evaluation of agricultural drones based on the COmpromise Ranking from Alternative SOlutions (CORASO) methodology. Engineering Review, 44(4), 77–90. https://doi.org/10.30765/er.2653
Sahoo, B., & Debnath, B. K. (2026). An Integrated Fuzzy Group Decision-Making Approach for Optimal Hydroelectric Power Plant Site Selection in Support of Rural Development. Process Integration and Optimization for Sustainability. https://doi.org/10.1007/s41660-025-00676-8
Shapiro, A. F., & Koissi, M.-C. (2017). Fuzzy logic modifications of the Analytic Hierarchy Process. Insurance: Mathematics and Economics, 75, 189–202. https://doi.org/10.1016/j.insmatheco.2017.05.003
Soltani, A., & Imani, M. A. (2024). Overcoming implementation barriers to renewable energy in developing nations: A case study of Iran using MCDM techniques and monte carlo simulation. Results in Engineering, 24, 103213. https://doi.org/10.1016/j.rineng.2024.103213
Tufan, D., & Ulutaş, A. (2026). Supplier Selection in the Food Sector: An Integrated Approach Using LODECI and CORASO Methods. Spectrum of Decision Making and Applications, 3(1), 40–51. https://doi.org/10.31181/sdmap31202631
Ünveren, M. (2016). Kamu Kurum ve Kuruluşlarınca İşletilen Sosyal Tesislerin Kurumlar Vergisi ve Katma Değer Vergisi Mükellefiyetleri. Denetişim, 14, 86–91.
Yalçın, G. C., Ballı, A., Kara, K., Işık, G., Simic, V., Pamucar, D., Polat, M., Aytekin, P., & Tekeli, E. S. (2026). Measuring promotional video performance through eye-tracking and cognitive evaluation: A Fermatean fuzzy decision analytics approach. Engineering Applications of Artificial Intelligence, 170, 114114. https://doi.org/10.1016/j.engappai.2026.114114
Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/s0019-9958(65)90241-x

Details

Primary Language

English

Subjects

Quantitative Decision Methods

Journal Section

Research Article

Authors

Ali Katrancı
0000-0002-7586-1169
Türkiye

Nilsen Kundakcı ^*
0000-0002-7283-320X
Türkiye

Publication Date

July 1, 2026

Submission Date

April 14, 2026

Acceptance Date

June 19, 2026

Published in Issue

Year 2026 Volume: 14 Number: 1

DOI

https://doi.org/10.17093/alphanumeric.1930337

IZ

https://izlik.org/JA49ZB64LL

Cite

RIS / Bibtex

APA

Katrancı, A., & Kundakcı, N. (2026). An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises. Alphanumeric Journal, 14(1), 113-134. https://doi.org/10.17093/alphanumeric.1930337

AMA

1.Katrancı A, Kundakcı N. An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises. Alphanumeric. 2026;14(1):113-134. doi:10.17093/alphanumeric.1930337

Chicago

Katrancı, Ali, and Nilsen Kundakcı. 2026. “An Integrated FSIWEC–FCORASO Approach for Organizational Model Selection in University Economic Enterprises”. Alphanumeric Journal 14 (1): 113-34. https://doi.org/10.17093/alphanumeric.1930337.

EndNote

Katrancı A, Kundakcı N (July 1, 2026) An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises. Alphanumeric Journal 14 1 113–134.

IEEE

[1]A. Katrancı and N. Kundakcı, “An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises”, Alphanumeric, vol. 14, no. 1, pp. 113–134, July 2026, doi: 10.17093/alphanumeric.1930337.

ISNAD

Katrancı, Ali - Kundakcı, Nilsen. “An Integrated FSIWEC–FCORASO Approach for Organizational Model Selection in University Economic Enterprises”. Alphanumeric Journal 14/1 (July 1, 2026): 113-134. https://doi.org/10.17093/alphanumeric.1930337.

JAMA

1.Katrancı A, Kundakcı N. An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises. Alphanumeric. 2026;14:113–134.

MLA

Katrancı, Ali, and Nilsen Kundakcı. “An Integrated FSIWEC–FCORASO Approach for Organizational Model Selection in University Economic Enterprises”. Alphanumeric Journal, vol. 14, no. 1, July 2026, pp. 113-34, doi:10.17093/alphanumeric.1930337.

Vancouver

1.Ali Katrancı, Nilsen Kundakcı. An integrated FSIWEC–FCORASO approach for organizational model selection in university economic enterprises. Alphanumeric. 2026 Jul. 1;14(1):113-34. doi:10.17093/alphanumeric.1930337