Comparing the performance of Turkish deposit banks by using DEMATEL, Grey Relational Analysis (GRA) and MOORA approaches
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Dec 31, 2017
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Abstract
The purpose of the study is to measure the financial performance in Turkish banking sector and to combine the data mining with the multi-criteria decision-making methods. For this purpose, a text-mining process is applied to measure the pairwise comparison of the criteria and the results are used in the integrated models. DEMATEL-GRA and DEMATEL-MOORA are defined as two integrated models. The results show that integrated models give the coherent outcomes and the text-mining process could be adapted properly in the multi-criteria decision-making methods. It is also concluded that foreign banks have better performance in comparison with state and private banks.
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Yüksel, S., Dinçer, H. and Emir, Şenol (2017) “Comparing the performance of Turkish deposit banks by using DEMATEL, Grey Relational Analysis (GRA) and MOORA approaches”, World Journal of Applied Economics, 3(2), pp. 26-47. doi: 10.22440/wjae.3.2.2.
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Research Articles
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References
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Akhigbe, A., McNulty, J. E., & Stevenson, B. A. (2017a). Additional evidence on transparency and bank financial performance. Review of Financial Economics, 32, 1-6. doi:10.1016/j.rfe.2016.09.001
Akhigbe, A., McNulty, J. E., & Stevenson, B. A. (2017b). Does the form of ownership affect firm performance? Evidence from US bank profit efficiency before and during the financial crisis. The Quarterly Review of Economics and Finance, 64, 120-129. doi:10.1016/j.qref.2016.07.015
Akkaya, G., Turanoğlu, B., & Öztaş, S. (2015). An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing. Expert Systems with Applications, 42(24), 9565-9573. doi:10.1016/j.eswa.2015.07.061
Aktaş, H., & Kargın, M. (2007). Türk bankacılık sektöründeki yabancı ve ulusal bankaların finansal oranlar açısından karşılaştırılması. Yönetim ve Ekonomi, 14(2), 31-45.
Ali, M., & Azmi, W. (2016). Religion in the boardroom and its impact on Islamic banks' performance. Review of Financial Economics, 31, 83-88. doi:10.1016/j.rfe.2016.08.001
Bacudio, L. R., Benjamin, M. F. D., Eusebio, R. C. P., Holaysan, S. A. K., Promentilla, M. A. B., Yu, K. D. S., & Aviso, K. B. (2016). Analyzing barriers to implementing industrial symbiosis networks using DEMATEL. Sustainable Production and Consumption, 7, 57-65. doi:10.1016/j.spc.2016.03.001
Bayramoglu, M. F., & Hamzacebi, C. (2016). Stock Selection Based on Fundamental Analysis Approach by Grey Relational Analysis: A Case of Turkey. International Journal of Economics and Finance, 8(7), 178-184. doi:10.5539/ijef.v8n7p178
Berger, A. N., Hasan, I., & Zhou, M. (2010). The effects of focus versus diversification on bank performance: Evidence from Chinese banks. Journal of Banking & Finance, 34(7), 1417-1435. doi:10.1016/j.jbankfin.2010.01.010
Bian, W., & Deng, C. (2017). Ownership dispersion and bank performance: Evidence from China. Finance Research Letters. doi:10.1016/j.frl.2016.12.030
Bircan, H., ARSLAN, R., & Eleroğlu, H. (2017, February). AHS İle Ağırlıklandırılmış MOORA ve VIKOR Yöntemiyle Araç Seçimi; Rent a Car Firması Uygulaması. In ICPESS (International Congress on Politic, Economic and Social Studies) (No. 2).
Bitar, M., Saad, W., & Benlemlih, M. (2016). Bank risk and performance in the MENA region: The importance of capital requirements. Economic Systems, 40(3), 398-421. doi:10.1016/j.ecosys.2015.12.001
Boubakri, N., Mirzaei, A., & Samet, A. (2017). National culture and bank performance: Evidence from the recent financial crisis. Journal of Financial Stability, 29, 36-56. doi:10.1016/j.jfs.2017.02.003
Brauers, W.K.M. and Zavadskas, E.K. (2006). The MOORA Method and Its Application to Privatization in a Transition Economy. Control and Cybernetics, 35, 445-469.
Büyüközkan, G., Güleryüz, S., & Karpak, B. (2017). A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation. International Journal of Production Economics, 191, 194-206. doi:10.1016/j.ijpe.2017.05.012
Cai, W., Xu, F., & Zeng, C. (2016). Geographical diversification and bank performance: Evidence from China. Economics Letters, 147, 96-98. doi:10.1016/j.econlet.2016.08.022
Carvallo, O., & Kasman, A. (2017). Convergence in bank performance: Evidence from Latin American banking. The North American Journal of Economics and Finance, 39, 127-142. doi:10.1016/j.najef.2016.08.002
Chai, B. B. H., Tan, P. S., & Goh, T. S. (2016). Banking services that influence the bank performance. Procedia-Social and Behavioral Sciences, 224, 401-407. doi:10.1016/j.sbspro.2016.05.405
Chen, I. S. (2016). A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry. Journal of Air Transport Management, 57, 7-18. doi:10.1016/j.jairtraman.2016.07.004
Cornett, M. M., Erhemjamts, O., & Tehranian, H. (2016). Greed or good deeds: An examination of the relation between corporate social responsibility and the financial performance of US commercial banks around the financial crisis. Journal of Banking & Finance, 70, 137-159. doi:10.1016/j.jbankfin.2016.04.024
Çinko, M., & Avcı, E. (2008). CAMELS Derecelendirme Sistemi ve Türk Ticari Bankacılık Sektöründe Başarısızlık Tahmini. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 2(2), 25-48.
Davydenko, A. (2010). Determinants of bank profitability in Ukraine. Undergraduate Economic Review, 7(1), Article 2.
de Bandt, O., Camara, B., Maitre, A., & Pessarossi, P. (2017). Optimal capital, regulatory requirements and bank performance in times of crisis: Evidence from France. Journal of Financial Stability
Gerhardt, M., & Vander Vennet, R. (2016). Bank bailouts in Europe and bank performance. Finance Research Letters.
Deng, J. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294. doi:10.1016/S0167-6911(82)80025-X
Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2017). Balanced scorecard based performance measurement of European airlines using a hybrid multi criteria decision making approach under the fuzzy environment. Journal of Air Transport Management, 63, 17-33. doi:10.1016/j.jairtraman.2017.05.005
Dong, Y., Firth, M., Hou, W., & Yang, W. (2016). Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks. European Journal of Operational Research, 252(1), 280-295. doi:10.1016/j.ejor.2015.12.038
Fukuyama, H., & Matousek, R. (2017). Modeling bank performance: A network DEA approach. European Journal of Operational Research, 259(2), 721-732. doi:10.1016/j.ejor.2016.10.044
Ghosh, A. (2016). Banking sector globalization and bank performance: A comparative analysis of low income countries with emerging markets and advanced economies. Review of Development Finance, 6(1), 58-70. doi:10.1016/j.rdf.2016.05.003
Jawadi, F., Jawadi, N., Cheffou, A. I., Ameur, H. B., & Louhichi, W. (2017). Modelling the effect of the geographical environment on Islamic banking performance: A panel quantile regression analysis. Economic Modelling. doi:10.1016/j.econmod.2017.01.018
Juo, J. C., Fu, T. T., Yu, M. M., & Lin, Y. H. (2016). Non-radial profit performance: An application to Taiwanese banks. Omega, 65, 111-121. doi:10.1016/j.omega.2016.01.003
Kabak, M., & Dağdeviren, M. (2017). A hybrid approach based on ANP and grey relational analysis for machine selection. Tehnički vjesnik, 24(Supplement 1), 109-118.
King, T., Srivastav, A., & Williams, J. (2016). What's in an education? Implications of CEO education for bank performance. Journal of Corporate Finance, 37, 287-308. doi:10.1016/j.jcorpfin.2016.01.003
Kutan, A. M., Ozsoz, E., & Rengifo, E. W. (2012). Cross-sectional determinants of bank performance under deposit dollarization in emerging markets. Emerging Markets Review, 13(4), 478-492. doi:10.1016/j.ememar.2012.07.003
Li, W., Li, Y., & Tang, C. (2016). Web Service Selection Method Based on Grey Relational Analysis. International Journal of Hybrid Information Technology, 9(3), 117-124. doi:10.14257/ijhit.2016.9.3.11
Luthra, S., Govindan, K., & Mangla, S. K. (2017). Structural model for sustainable consumption and production adoption—A grey-DEMATEL based approach. Resources, Conservation and Recycling, 125, 198-207. doi:10.1016/j.resconrec.2017.02.018
Mamatzakis, E., & Bermpei, T. (2016). What is the effect of unconventional monetary policy on bank performance?. Journal of International Money and Finance, 67, 239-263. doi:10.1016/j.jimonfin.2016.05.005
Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 1-18. doi:10.1007/s00170-016-9880-x
Meles, A., Porzio, C., Sampagnaro, G., & Verdoliva, V. (2016). The impact of the intellectual capital efficiency on commercial banks performance: Evidence from the US. Journal of Multinational Financial Management, 36, 64-74. doi:10.1016/j.mulfin.2016.04.003
Mirzaei, A., & Moore, T. (2016). Banking performance and industry growth in an oil-rich economy: Evidence from Qatar. The Quarterly Review of Economics and Finance, 60, 58-69. doi:10.1016/j.qref.2015.06.001
Nagano, M. (2016). The bank–firm relationship during economic transition: The impacts on bank performance in emerging economies. Emerging Markets Review, 28, 117-139. doi:10.1016/j.ememar.2016.08.005
Oktar, S., & Yüksel, S. (2016). Bankalarin Türev Ürün Kullanimini Etkileyen Faktörler: Mars Yöntemi ile Bir Inceleme/Determinants of the Use Derivatives in Banking: An Analysis with MARS Model. Finans Politik & Ekonomik Yorumlar, 53(620), 31-46.
Psillaki, M., & Mamatzakis, E. (2017). What drives bank performance in transitions economies? The impact of reforms and regulations. Research in International Business and Finance, 39, 578-594. doi:10.1016/j.ribaf.2016.09.010
Salim, R., Arjomandi, A., & Seufert, J. H. (2016). Does corporate governance affect Australian banks' performance?. Journal of International Financial Markets, Institutions and Money, 43, 113-125. doi:10.1016/j.intfin.2016.04.006
Saghi-Zedek, N. (2016). Product diversification and bank performance: does ownership structure matter?. Journal of Banking & Finance, 71, 154-167. doi:10.1016/j.jbankfin.2016.05.003
Sarı, T., Baynal, K., & Ergül, Ö. (2016). Supplier Selection with Grey Relational Analysis. International Journal of Emerging Research in Management & Technology, 5, 61-70.
Scott, S. V., Van Reenen, J., & Zachariadis, M. (2017). The long-term effect of digital innovation on bank performance: an empirical study of SWIFT adoption in financial services. Research Policy, 46(5), 984-1004. doi:10.1016/j.respol.2017.03.010
Seyrek, İ. H., & Ata, H. A. (2010). Veri Zarflama Analizi ve Veri Madenciliği ile Mevduat Bankalarında Etkinlik Ölçümü. Journal of BRSA Banking & Financial Markets, 4(2), 67-84.
Shaban, M., & James, G. A. (2017). The effects of ownership change on bank performance and risk exposure: Evidence from Indonesia. Journal of Banking & Finance.
Sun, L., & Chang, T. P. (2011). A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries. Journal of Banking & Finance, 35(7), 1727-1735. doi:10.1016/j.jbankfin.2010.11.017
Sun, P. H., Mohamad, S., & Ariff, M. (2017). Determinants driving bank performance: A comparison of two types of banks in the OIC. Pacific-Basin Finance Journal, 42, 193-203. doi:10.1016/j.pacfin.2016.02.007
Supeekit, T., Somboonwiwat, T., & Kritchanchai, D. (2016). DEMATEL-modified ANP to evaluate internal hospital supply chain performance. Computers & Industrial Engineering, 102, 318-330. doi:10.1016/j.cie.2016.07.019
Yüksel, S. (2017). Determinants of the Credit Risk in Developing Countries After Economic Crisis: A Case of Turkish Banking Sector. In Global Financial Crisis and Its Ramifications on Capital Markets (pp. 401-415). Springer International Publishing. doi:10.1007/978-3-319-47021-4_28
Yüksel, S., Dincer, H., & Hacioglu, U. (2015). CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks. International Journal of Finance & Banking Studies, 4(4), 1-17.
Yüksel, S., & Zengin, S. (2017). Influencing Factors of Net Interest Margin in Turkish Banking Sector. International Journal of Economics and Financial Issues, 7(1), 178-191.
Zhou, X., Shi, Y., Deng, X., & Deng, Y. (2017). D-DEMATEL: A new method to identify critical success factors in emergency management. Safety science, 91, 93-104. doi:10.1016/j.ssci.2016.06.014
Akhigbe, A., McNulty, J. E., & Stevenson, B. A. (2017a). Additional evidence on transparency and bank financial performance. Review of Financial Economics, 32, 1-6. doi:10.1016/j.rfe.2016.09.001
Akhigbe, A., McNulty, J. E., & Stevenson, B. A. (2017b). Does the form of ownership affect firm performance? Evidence from US bank profit efficiency before and during the financial crisis. The Quarterly Review of Economics and Finance, 64, 120-129. doi:10.1016/j.qref.2016.07.015
Akkaya, G., Turanoğlu, B., & Öztaş, S. (2015). An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing. Expert Systems with Applications, 42(24), 9565-9573. doi:10.1016/j.eswa.2015.07.061
Aktaş, H., & Kargın, M. (2007). Türk bankacılık sektöründeki yabancı ve ulusal bankaların finansal oranlar açısından karşılaştırılması. Yönetim ve Ekonomi, 14(2), 31-45.
Ali, M., & Azmi, W. (2016). Religion in the boardroom and its impact on Islamic banks' performance. Review of Financial Economics, 31, 83-88. doi:10.1016/j.rfe.2016.08.001
Bacudio, L. R., Benjamin, M. F. D., Eusebio, R. C. P., Holaysan, S. A. K., Promentilla, M. A. B., Yu, K. D. S., & Aviso, K. B. (2016). Analyzing barriers to implementing industrial symbiosis networks using DEMATEL. Sustainable Production and Consumption, 7, 57-65. doi:10.1016/j.spc.2016.03.001
Bayramoglu, M. F., & Hamzacebi, C. (2016). Stock Selection Based on Fundamental Analysis Approach by Grey Relational Analysis: A Case of Turkey. International Journal of Economics and Finance, 8(7), 178-184. doi:10.5539/ijef.v8n7p178
Berger, A. N., Hasan, I., & Zhou, M. (2010). The effects of focus versus diversification on bank performance: Evidence from Chinese banks. Journal of Banking & Finance, 34(7), 1417-1435. doi:10.1016/j.jbankfin.2010.01.010
Bian, W., & Deng, C. (2017). Ownership dispersion and bank performance: Evidence from China. Finance Research Letters. doi:10.1016/j.frl.2016.12.030
Bircan, H., ARSLAN, R., & Eleroğlu, H. (2017, February). AHS İle Ağırlıklandırılmış MOORA ve VIKOR Yöntemiyle Araç Seçimi; Rent a Car Firması Uygulaması. In ICPESS (International Congress on Politic, Economic and Social Studies) (No. 2).
Bitar, M., Saad, W., & Benlemlih, M. (2016). Bank risk and performance in the MENA region: The importance of capital requirements. Economic Systems, 40(3), 398-421. doi:10.1016/j.ecosys.2015.12.001
Boubakri, N., Mirzaei, A., & Samet, A. (2017). National culture and bank performance: Evidence from the recent financial crisis. Journal of Financial Stability, 29, 36-56. doi:10.1016/j.jfs.2017.02.003
Brauers, W.K.M. and Zavadskas, E.K. (2006). The MOORA Method and Its Application to Privatization in a Transition Economy. Control and Cybernetics, 35, 445-469.
Büyüközkan, G., Güleryüz, S., & Karpak, B. (2017). A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation. International Journal of Production Economics, 191, 194-206. doi:10.1016/j.ijpe.2017.05.012
Cai, W., Xu, F., & Zeng, C. (2016). Geographical diversification and bank performance: Evidence from China. Economics Letters, 147, 96-98. doi:10.1016/j.econlet.2016.08.022
Carvallo, O., & Kasman, A. (2017). Convergence in bank performance: Evidence from Latin American banking. The North American Journal of Economics and Finance, 39, 127-142. doi:10.1016/j.najef.2016.08.002
Chai, B. B. H., Tan, P. S., & Goh, T. S. (2016). Banking services that influence the bank performance. Procedia-Social and Behavioral Sciences, 224, 401-407. doi:10.1016/j.sbspro.2016.05.405
Chen, I. S. (2016). A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry. Journal of Air Transport Management, 57, 7-18. doi:10.1016/j.jairtraman.2016.07.004
Cornett, M. M., Erhemjamts, O., & Tehranian, H. (2016). Greed or good deeds: An examination of the relation between corporate social responsibility and the financial performance of US commercial banks around the financial crisis. Journal of Banking & Finance, 70, 137-159. doi:10.1016/j.jbankfin.2016.04.024
Çinko, M., & Avcı, E. (2008). CAMELS Derecelendirme Sistemi ve Türk Ticari Bankacılık Sektöründe Başarısızlık Tahmini. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 2(2), 25-48.
Davydenko, A. (2010). Determinants of bank profitability in Ukraine. Undergraduate Economic Review, 7(1), Article 2.
de Bandt, O., Camara, B., Maitre, A., & Pessarossi, P. (2017). Optimal capital, regulatory requirements and bank performance in times of crisis: Evidence from France. Journal of Financial Stability
Gerhardt, M., & Vander Vennet, R. (2016). Bank bailouts in Europe and bank performance. Finance Research Letters.
Deng, J. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294. doi:10.1016/S0167-6911(82)80025-X
Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2017). Balanced scorecard based performance measurement of European airlines using a hybrid multi criteria decision making approach under the fuzzy environment. Journal of Air Transport Management, 63, 17-33. doi:10.1016/j.jairtraman.2017.05.005
Dong, Y., Firth, M., Hou, W., & Yang, W. (2016). Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks. European Journal of Operational Research, 252(1), 280-295. doi:10.1016/j.ejor.2015.12.038
Fukuyama, H., & Matousek, R. (2017). Modeling bank performance: A network DEA approach. European Journal of Operational Research, 259(2), 721-732. doi:10.1016/j.ejor.2016.10.044
Ghosh, A. (2016). Banking sector globalization and bank performance: A comparative analysis of low income countries with emerging markets and advanced economies. Review of Development Finance, 6(1), 58-70. doi:10.1016/j.rdf.2016.05.003
Jawadi, F., Jawadi, N., Cheffou, A. I., Ameur, H. B., & Louhichi, W. (2017). Modelling the effect of the geographical environment on Islamic banking performance: A panel quantile regression analysis. Economic Modelling. doi:10.1016/j.econmod.2017.01.018
Juo, J. C., Fu, T. T., Yu, M. M., & Lin, Y. H. (2016). Non-radial profit performance: An application to Taiwanese banks. Omega, 65, 111-121. doi:10.1016/j.omega.2016.01.003
Kabak, M., & Dağdeviren, M. (2017). A hybrid approach based on ANP and grey relational analysis for machine selection. Tehnički vjesnik, 24(Supplement 1), 109-118.
King, T., Srivastav, A., & Williams, J. (2016). What's in an education? Implications of CEO education for bank performance. Journal of Corporate Finance, 37, 287-308. doi:10.1016/j.jcorpfin.2016.01.003
Kutan, A. M., Ozsoz, E., & Rengifo, E. W. (2012). Cross-sectional determinants of bank performance under deposit dollarization in emerging markets. Emerging Markets Review, 13(4), 478-492. doi:10.1016/j.ememar.2012.07.003
Li, W., Li, Y., & Tang, C. (2016). Web Service Selection Method Based on Grey Relational Analysis. International Journal of Hybrid Information Technology, 9(3), 117-124. doi:10.14257/ijhit.2016.9.3.11
Luthra, S., Govindan, K., & Mangla, S. K. (2017). Structural model for sustainable consumption and production adoption—A grey-DEMATEL based approach. Resources, Conservation and Recycling, 125, 198-207. doi:10.1016/j.resconrec.2017.02.018
Mamatzakis, E., & Bermpei, T. (2016). What is the effect of unconventional monetary policy on bank performance?. Journal of International Money and Finance, 67, 239-263. doi:10.1016/j.jimonfin.2016.05.005
Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 1-18. doi:10.1007/s00170-016-9880-x
Meles, A., Porzio, C., Sampagnaro, G., & Verdoliva, V. (2016). The impact of the intellectual capital efficiency on commercial banks performance: Evidence from the US. Journal of Multinational Financial Management, 36, 64-74. doi:10.1016/j.mulfin.2016.04.003
Mirzaei, A., & Moore, T. (2016). Banking performance and industry growth in an oil-rich economy: Evidence from Qatar. The Quarterly Review of Economics and Finance, 60, 58-69. doi:10.1016/j.qref.2015.06.001
Nagano, M. (2016). The bank–firm relationship during economic transition: The impacts on bank performance in emerging economies. Emerging Markets Review, 28, 117-139. doi:10.1016/j.ememar.2016.08.005
Oktar, S., & Yüksel, S. (2016). Bankalarin Türev Ürün Kullanimini Etkileyen Faktörler: Mars Yöntemi ile Bir Inceleme/Determinants of the Use Derivatives in Banking: An Analysis with MARS Model. Finans Politik & Ekonomik Yorumlar, 53(620), 31-46.
Psillaki, M., & Mamatzakis, E. (2017). What drives bank performance in transitions economies? The impact of reforms and regulations. Research in International Business and Finance, 39, 578-594. doi:10.1016/j.ribaf.2016.09.010
Salim, R., Arjomandi, A., & Seufert, J. H. (2016). Does corporate governance affect Australian banks' performance?. Journal of International Financial Markets, Institutions and Money, 43, 113-125. doi:10.1016/j.intfin.2016.04.006
Saghi-Zedek, N. (2016). Product diversification and bank performance: does ownership structure matter?. Journal of Banking & Finance, 71, 154-167. doi:10.1016/j.jbankfin.2016.05.003
Sarı, T., Baynal, K., & Ergül, Ö. (2016). Supplier Selection with Grey Relational Analysis. International Journal of Emerging Research in Management & Technology, 5, 61-70.
Scott, S. V., Van Reenen, J., & Zachariadis, M. (2017). The long-term effect of digital innovation on bank performance: an empirical study of SWIFT adoption in financial services. Research Policy, 46(5), 984-1004. doi:10.1016/j.respol.2017.03.010
Seyrek, İ. H., & Ata, H. A. (2010). Veri Zarflama Analizi ve Veri Madenciliği ile Mevduat Bankalarında Etkinlik Ölçümü. Journal of BRSA Banking & Financial Markets, 4(2), 67-84.
Shaban, M., & James, G. A. (2017). The effects of ownership change on bank performance and risk exposure: Evidence from Indonesia. Journal of Banking & Finance.
Sun, L., & Chang, T. P. (2011). A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries. Journal of Banking & Finance, 35(7), 1727-1735. doi:10.1016/j.jbankfin.2010.11.017
Sun, P. H., Mohamad, S., & Ariff, M. (2017). Determinants driving bank performance: A comparison of two types of banks in the OIC. Pacific-Basin Finance Journal, 42, 193-203. doi:10.1016/j.pacfin.2016.02.007
Supeekit, T., Somboonwiwat, T., & Kritchanchai, D. (2016). DEMATEL-modified ANP to evaluate internal hospital supply chain performance. Computers & Industrial Engineering, 102, 318-330. doi:10.1016/j.cie.2016.07.019
Yüksel, S. (2017). Determinants of the Credit Risk in Developing Countries After Economic Crisis: A Case of Turkish Banking Sector. In Global Financial Crisis and Its Ramifications on Capital Markets (pp. 401-415). Springer International Publishing. doi:10.1007/978-3-319-47021-4_28
Yüksel, S., Dincer, H., & Hacioglu, U. (2015). CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks. International Journal of Finance & Banking Studies, 4(4), 1-17.
Yüksel, S., & Zengin, S. (2017). Influencing Factors of Net Interest Margin in Turkish Banking Sector. International Journal of Economics and Financial Issues, 7(1), 178-191.
Zhou, X., Shi, Y., Deng, X., & Deng, Y. (2017). D-DEMATEL: A new method to identify critical success factors in emergency management. Safety science, 91, 93-104. doi:10.1016/j.ssci.2016.06.014