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2021, vol. 76, iss. 1, pp. 103-111
Analysis of the efficiency of financial institutions in Serbia based on the OCRA method
University of Belgrade, Faculty of Economy
Keywords: efficiency; financial institutions of Serbia; determinants; OCRA method
Recently, as is well known, the performance and efficiency of financial institutions are increasingly being measured on the basis of multi-criteria analysis. With this in mind, this paper analyzes the efficiency of financial institutions in Serbia based on the OCRA method. In this context, adequate measures have been proposed to improve the efficiency of financial institutions in Serbia in the future. Based on the obtained results of research on the efficiency of financial institutions in Serbia using the OCRA method, it can be concluded that banks and insurance companies are the most efficient in order. They are in order: other financial institutions, financial leasing providers, voluntary pension funds, broker-dealer companies, open-end investment funds, voluntary pension fund management companies and investment fund management companies. This positioning of financial institutions in Serbia was influenced by numerous macro and micro factors. The development of the financial market plays a significant role in this. It is still not at the level of developed market economies.
Chatterjee, P., Chakraborty, S. (2012) Material selection using preferential ranking methods. Materials & Design, 35, 384-393
Ersoy, N. (2017) Performance measurement in retail industry by using a multi-criteria decision making methods. Ege Akademik Bakis (Ege Academic Review), 17(4), pp. 539-551
Gaur, L., Agarwal, V., Anshu, K. (2020) Fuzzy DEMATEL approach to identify the factors influencing efficiency of Indian retail websites. in: Kapur P., Singh O, Khatri S., Verma A. [ed.] Strategic System Assurance and Business Analytics. Asset Analytics (Performance and Safety Management), Singapore: Springer
Kundakcı, N. (2019) A comparative analyze based on EATWOS and OCRA methods for supplier evaluation. Alphanumeric Journal, 7(1), 103-112
Liu, S., Xu, B., Forrest, J., Chen, Y., Yang, Y. (2013) On uniform effect measure functions and a weighted multi-attribute grey target decision model. Journal of Grey System, 25(1), pp. 1-11
Lukić, R. (2020) Analysis of the efficiency of trade in oil derivatives in Serbia by applying the fuzzy ahp-topsis method. Business Excellence and Management, 10(3), 80-98
Lukić, R., Zekić-Hadrović, B. (2019) Evaluation of efficiency of trade companies in Serbia using the DEA approach. in: 19th International Scientific Conference BUSINESS LOGISTICS in MO-DERN MANAGEMENT October 10-11, Osijek, Croatia, Proceedings, Osijek, Croatia: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 145-165
Lukić, R., Hadrović-Zekić, B., Crnjac-Milić, D. (2020) Financial performance evaluation of trading companies in Serbia using the integrated fuzzy AHP-TO-PSIS approach. in: 9th International scientific symposium region, Entrepreneurship, development, Osijek: Republic of Croatia Ministry of science and education, June, pp. 690-703
Lukić, R., Vojteski-Kljenak, D., Anđelić, S. (2020) Analyzing financial performances and efficiency of the retail food in Serbia by using the AHP-TOPSIS method. Ekonomika poljoprivrede, vol. 67, br. 1, str. 55-68
Madić, M., Petković, D., Radovanović, M. (2015) Selection of non-conventional machining processes using the OCRA method. Serbian Journal of Management, vol. 10, br. 1, str. 61-73
Mihai, N. (2009) Efficiency in the Romanian banking system: An application of data envelopment analysis. Romanian Journal of Economics, 29(2(38)), pp. 162-176
Özbek, A. (2015) Efficiency analysis of foreign-capital banks in Turkey by OCRA and MOORA. Research Journal of Finance and Accounting, 6(13), 21-30
Özbek, A. (2015) Performance analysis of public banks in Turkey. International Journal of Business Management and Economic Research (IJBMER), 6(3), 178-186
Parkan, C., Wu, M.L. (1997) On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963-2988
Parkan, C. (1994) Operational competitiveness ratings of production units. Managerial and Decision Economics, 15(3), pp. 201-221
Parkan, C., Wu, M. (1999) Measuring the performance of operations of Hong Kong's manufacturing industries. European Journal of Operational Research, 118(2), 235-258
Parkan, C., Wu, M. (2000) Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science, 31(4), 497-517
Saaty, T.L. (2008) Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98
Stanujkić, D., Zavadskas, E.K., Liu, S., Karabasević, D., Popović, G. (2017) Improved OCRA method based on the use of interval grey numbers. Journal of Grey System, Volume, 29(4), pp. 49-60


article language: Serbian
document type: Professional Paper
DOI: 10.5937/tehnika2101103L
received: 26/01/2021
accepted: 09/02/2021
published in SCIndeks: 06/03/2021
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