[
Akyüz, F., Soba, A. Ş. & Yeşil, T. (2020). Evaluation of Financial Performance of Participation Banks with Camels Analysis Method. The Journal of Accounting and Finance, 87, 145-166.
]Search in Google Scholar
[
Alsu, E., Taşdemir, A., & Kallo, Z. (2018). Evaluation of Performances of Participation Banks: International Comparison with TOPSIS Method. Gaziantep University Journal of Social Sciences, 17(1), 303-316.
]Search in Google Scholar
[
Altan, M. (2004). Türkiye’de Banka Gruplarının Bilanço Dışı İşlemleri ve Bu İşlemlerin Bankaların Karlılık, Sermaye Yeterliliği, Aktif Kalitesi ve Likiditesi Üzerinde Yarattığı Etki. SÜ İİBF Sosyal ve Ekonomik Araştırmalar Dergisi, 4(7), 19-37.
]Search in Google Scholar
[
Batir, T. E., Volkman, D. A. & Gungor, B. (2017). Determinants of Bank Efficiency in Turkey: Participation Banks versus Conventional Banks. Borsa Istanbul Review, 17(2), 86-96.
]Search in Google Scholar
[
Benli, Y. K., Karaca, S. S. & Bozdan, N. (2018). Measuring of Performance of Participation Banks with Camels Analysis in Turkey. Journal of Current Researches on Business and Economics, 8(2), 197-210.
]Search in Google Scholar
[
Cecchetti, S. G., Flores-Lagunes, A. & Krause, S. (2006). Has Monetary Policy Become More Efficient? A Cross-Country Analysis. The Economic Journal, 116(511), 408-433.
]Search in Google Scholar
[
Chakraborty, S. & Zavadskas, E. K. (2014). Applicatons of Waspas Method in Manufacturing Decision Making. Informatica, 25(1), 1-20.
]Search in Google Scholar
[
Chakraborty, S., Zavadskas, E. K. & Antucheviciene, J. (2014). Applications of Waspas Method as a Multi-Criteria Decision-Making Tool. Economic Computation and Economic Cybernetics Studies and Research. Academy of Economic Studies, 49(1), 5-22.
]Search in Google Scholar
[
Çetin, A. C. & Bıtırak, İ. A. (2010). Analytic Hierarchy Process Approach in Bank Performance Evaluation: An Application in the Commercial Banks and Participation Banks. Alanya İşletme Fakültesi Dergisi, 2(2), 75-92.
]Search in Google Scholar
[
Demirgüç-Kunt, A., Pedraza, A. & Ruiz-Ortega, C. (2021). Banking sector performance during the COVID-19 crisis. Journal of Banking & Finance, 133(2021), 1-22.
]Search in Google Scholar
[
Elmas, B. & Yetim, A. (2021). Katilim Bankalarinin Finansal Performanslarinin TOPSİS Yöntemi ile Uluslararasi Boyutta Değerlendirilmesi. International Journal of Islamic Economics and Finance Studies, 7(3), 230-263.
]Search in Google Scholar
[
Elsayed, E. A., Dawood, A. K. S. & Karthikeyan, R. (2017). Evaluating Alternatives through the Application of TOPSIS Method with Entropy Weight. International Journal of Engineering Trends and Technology, 46(2), 60-66.
]Search in Google Scholar
[
Erdoğan, H. H. (2022). A Multicriteria Decision Framework for Bank Performance Evaluation in Turkey. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 27(1), 98-109.
]Search in Google Scholar
[
Gümrah, A. (2016). Measuring the Performance of Participation Banks by TOPSIS Method: Turkey and Malaysia cases. International Journal of Business and Management Studies, 5(1), 211–218.
]Search in Google Scholar
[
Hassan, M. K. & Bashir, A. H. M. (2006). Determinants of Islamic Banking Profitability. Book Chapter in Islamic Perspectives on Wealth Creation, Edinburgh University Press New York: Columbia University Press.
]Search in Google Scholar
[
Haseeb, M. (2018). Emerging Issues in Islamic Banking & Finance: Challenges and Solutions. Academy of Accounting and Financial Studies Journal, 22(Special Issue), 1-5.
]Search in Google Scholar
[
Husna, N. & Desiyanti, R. (2016). The Analysis of Financial Performance on Net Profit Margin at the Coal Company. International Journal of Management and Applied Science, 2(4), 105-108.
]Search in Google Scholar
[
Hwang, C. L. & Yoon, K. (1981). Multiple Attributes Decision Making: Methods and Applications. New York: Springer-Verlag.
]Search in Google Scholar
[
Khan, A. Q. & Bhatti, A. A. (2018). Islamic Banking and Finance: A New Paradigm in International Relations. Journal of Islamic Business and Management, 8(1), 85-101.
]Search in Google Scholar
[
Lai, Y. L., Liu, T. Y. & Hwang, C. L. (1994). TOPSIS for MODM. European Journal of Operational Research, 76(3), 486-500.
]Search in Google Scholar
[
Mahdi, M. & Khaddafi, M. (2020). The Influence of Gross Profit Margin, Operating Profit Margin and Net Profit Margin on the Stock Price of Consumer Good Industry in the Indonesia Stock Exchange on 2012-2014. International Journal of Business Economics and Social Development, 1(3), 34-55.
]Search in Google Scholar
[
Moin, M. S. (2018). Performance of Islamic Banking and Conventional Banking in Pakistan: A comparative study. School of Technology and Society, University of Skövde.
]Search in Google Scholar
[
Nayman Hamamcı, H. & Karkacıer, A. (2022). Evaluation of Financial Performance of Participation Banks in Turkey and GCC with TOPSIS Method. Uluslararası Ekonomi ve Yenilik Dergisi, 8(1), 55-78.
]Search in Google Scholar
[
Obeidat, M., Tarawneh, A., Khataibeh, M. & Ghassan, O. (2021). The Performance of Banks in a Developing Country: Has COVID-19 Made Any Difference? Journal of Economics Finance and Accounting, 8(2), 102–108.
]Search in Google Scholar
[
Özkan, T. (2019). Performance Measurement of Participation Banks in Turkey: An Application based on Analysis of Camels. Turkish Studies Economics, Finance, Politics, 14(3), 903-920.
]Search in Google Scholar
[
Saleh, I., Afifa, M. A. & Murray, L. (2020). The Effect of Credit Risk, Liquidity Risk and Bank Capital on Bank Profitability: Evidence from an Emerging Market. Cogent Economics & Finance, 8(1), 1-13.
]Search in Google Scholar
[
Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379-423.
]Search in Google Scholar
[
Spathis, Ch., Kosmidou, K. & Doumpos, M. (2002). Assessing Profitability Factors in the Greek Banking System: A Multicriteria Methodology. International Transactions in Operational Research, 9(5), 517-530.
]Search in Google Scholar
[
Viverita, V., Bustaman, Y. & Danarsari, D. N. (2023). Liquidity Creation by Islamic and Conventional Banks during the COVID-19 Pandemic. Heliyon, 9(4), 1-14.
]Search in Google Scholar
[
Vodova, P. (2013). Determinants of Commercial Bank Liquidity in Hungary. e-Finanse, 9(3), 64-71.
]Search in Google Scholar
[
Wang, T. C. & Lee, H. D. (2009). Developing a Fuzzy TOPSIS Approach based on Subjective Weights and Objective Weights. Expert Systems with Applications, 36(5), 8980-8985.
]Search in Google Scholar
[
Wu, J., Sun, J., Liang, L. & Zha, Y. (2011). Determination of Weights for Ultimate Cross Efficiency using Shannon Entropy. Expert Systems with Applications, 38(5), 5162-5165.
]Search in Google Scholar
[
Yağlı, İ. (2020). Multi-Criteria Financial Performance Analysis of Turkish Participation Banks. Alanya Academic Review Journal, 4(3), 861-873.
]Search in Google Scholar
[
Yayar, R. & Baykara, H. V. (2012). An Implementation upon Efficiency and Productivity of Participation Banks with TOPSIS Method. Business and Economics Research Journal, 3(4), 21‐42.
]Search in Google Scholar
[
Yıldız, S. B. (2020). Performance Analysis of Turkey’s Participation and Conventional Indices using TOPSIS Method. Journal of Islamic Accounting and Business Research, 11(7), 1403-1416.
]Search in Google Scholar
[
Yılmaz, B. Ö., Tozan, H. & Karadayi, M. A. (2020). Multi-Criteria Decision Making (MCDM) Applications in Military Healthcare Field. Journal of Health Systems and Policies, 2(2), 149-181.
]Search in Google Scholar
[
Yoon, K. & Hwang, C. L. (1995). Multiple Attribute Decision Making: An Introduction. Thousand Oaks, CA: Sage.
]Search in Google Scholar
[
Zavadskas, E. K., Turskis, Z. & Antucheviciene, J. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical Enginering, 122(6), 3-6.
]Search in Google Scholar