A New Approach for Banks Ranking Considering Modern Global Indices

Document Type : Review Article

Authors

Abstract

Iran's banking system nowadays, is facing new challenges in joining the World Trade Organization (WTO), i.e. foreign banks and private banks entering the system and rises in financial and credit institute's activities. On the other hand, following the implementation of administrative system general policies, the banking system will also conform to it. In this paper, in order to rank the banks, several indexes are determined. The ranking provides a competitive environment for the banks to implement these policies properly. The indexes are defined according to recent researches in foreign countries and indexes of Balanced Scorecard method and corporate social responsibility attributes are considered. After identifying 6 main criteria and 25 sub criteria their weights are determined by the Analytical Hierarchy process (AHP) based on a sample of 8 experts. Thereafter, the score of each bank in each sub criteria is identified by use of financial information of the considered banks, experts and banks customers. Finally, the considered banks are prioritized using Fuzzy TOPISIS method. Results show financial aspect with a weight equal to 22 percent and social aspect with a weight equal to 16 percent are the most and less important, correspondingly. in sub-indexes, a return of investment with the weight of 0.096, reducing the operation cycle time with the weight of 0.094, net income ratio with the weight of 0.079 and less energy consumption with the weight of 0.073 are the most the most important, respectively.

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Chena, F.-H., Hsu, T.-S., & Tzeng, G.-H. (2011). A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. International Journal of Hospitality Management, 30(4), 908-932.
Fatma, M., Rahman, Z., & Khan, I. (2014). Multi-Item Stakeholder Based Scale to Measure CSR in the Banking Industry. International Strategic Management Review, 2(1), 9-20.
Grigoroudis, E., Orfanoudaki, E., & Zopounidis, C. (2012). Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard. Omega, 40(1), 104-119.
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Springer-Verlag.
Mocan, M., Rus, S., Draghici, A., Ivascu, L., & Turi, A. (2015). Impact of Corporate Social Responsibility Practices on the Banking Industry in Romania. Procedia Economics and Finance, 23, 712-716.
Rabbani, A., Zamani, M., Yazdani-Chamzini, A., & Zavadskas, E. K. (2014). Proposing a new integrated model based on sustainability balanced scorecard (SBSC) and MCDM approaches by using linguistic variables for the performance evaluation of oil producing companies. Expert Systems with Applications, 41(16), 7316-7327.
Rahiminezhad Galankashi, M., Helmi, S. A., & Hashemzahi, P. (2016). Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach. Alexandria Engineering Journal.
Raluca, A. P. (2015). The Corporate Social Responsibility Practices in the Context of Sustainable Development. The Case of Romania.23, 1279-1285.
Robert, S. K., & David, P. N. (2004). The Balanced Scorecard:Translating Strategy. Action.Boston:Harvard Business School Press.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences 1, 83-98.
Shafiee, M., Hosseinzadeh Lotfi, F., & Saleh, H. (2014). Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach. Applied Mathematical Modelling, 38(21–22), 5092-5112.
Tseng, M.-L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard. Computers & Education, 55(1), 188-201.
Wu, H.-Y. (2012). Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. Evaluation and Program Planning, 35(3), 303-320.
Wu, H.-Y., Lin, Y.-K., & Chang, C.-H. (2011). Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning, 34(1), 37-50.
Wu, H.-Y., Tzeng, G.-H., & Chen, Y.-H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.
Yüksel, İ., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37(2), 1270-1278.
Zadeh, L. A. (1965). "Fuzzy sets", Information and Control.8, 338-353.
Zhao, H., & Li, N. (2015). Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability. Journal of Cleaner Production, 108, Part A, 569-582.