Identifying and Ranking the Factors Affecting Customer Financial Behavior Using Multi-Criteria Decision Making Technic (TOPSIS)

Subject Areas : Financial and Economic Modelling

Mohammad Hossein Lotfolah Hamadani ¹ , Mohsen Dastgir ² , Seyed Ali Heidari ³

1 - Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
2 - Department of Accounting, Faculty of Humanities and Law, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
3 - Department of Financial Management, Faculty of Financial Sciences, Kharazmi University, Tehran, Iran

Received: 2020-10-18 Accepted : 2020-12-23 Published : 2021-07-01

Keywords: development bank, customer financial behavior, TOPSIS, Multi-Criteria Decision Making,

Abstract :

Customer relationship and recognition of the customer financial behaviour are considered as important strategic factors involved in successful performance of the banks. So, identifying these factors and prioritizing them help to make better decisions to complete the value chain of the banks’ financial services, especially in development banks that tend to have midterm and long-time presence in financial markets. So, the present research aims to identify and prioritize the mentioned factors in Bank of Industry and Mine as one of the main development banks of Iran. The present research has been performed in two phases. In the first stage, or qualitative part, In the first stage, during the review of the literature and the opinions of banking experts, the relevant indicators were identified. In the second stage, or quantitative part, the statistical data of variables in the period of 2012-2017 was collected. Then, the identified factors were prioritized by multi-criteria decision making in TOPSIS solver software. According to the findings, environmental factors are the main indicators affecting the bank customers’ financial behaviour. The most important customer-related factor was the definite profit paid to the customer; the most important bank-related factor was credit risk; and the most important environmental factor was economic growth.

References:

[1] Audzeyeva, A., Summers, B., Schenk-Hoppé, K.R., Forecasting customer behavior in a multi-service financial organization: A profitability perspective, International Journal of Forecasting, (2012), 28, P. 507-518. Doi:10.1016/j.ijforecast.2011.05.005.

Asgharpour, M.J., Multi-criteria Decision Making, Tehran University Press, (2006). (In Persian) [2]

[3] Balduzzi, P., Brancati, E., Schiantarelli, F., Financial markets, bank`s cost of funding, and firm`s decisions: Lessons from two crises, Journal of Financial Intermediation, (2017). Doi: 10.1016/j.jÞ.2017.09.004.

[4] Bedman, N., SME bank selection and patronage behavior in the Ghanaian banking, Industry, Management Research Review, (2013), 36 (11), P. 1062-1080. Doi: 10.1108/MRR-06-2012-0147.

[5] Berger, A., Bouwman, C., Bank liquidity creation, monetary policy and financial crises, Journal of Financial Stability, (2017), 30, P. 139-155. Doi:10.1016/j.jfs.2017.05.001.

[6] Deku, S Y., Kara, A., Zhou, Y., Securitization, Bank behavior and financial stability: A systematic review of the recent empirical literature. International Review of Financial Analysis, (2019), 61(C), P. 245-254. Doi: 10.1016/j.irfa.2018.11.013

[7] Gorjizadeh, D., Khanmohammadi., M.H., Study the effect of behavioral finance factors on the decisions of individual investors, Islamic Azad University of Damavand, Department of Accounting, (2017). (In Persian)

[8] Guo, X., Duff, A., Hair, M., Service quality measurement in the chinses corporate banking market, international journal of bank marketing, (2008), 26 (5), P.305-327. Doi: 10.1108/02652320810894389.

[9] Ijevleva, K., Arefjevs, I., Analysis of the aggregate financial behavior of customers using the trans theoretical model of change, Procedia-Social and Behavioral Sciences, (2014), 156, P. 435-438. Doi: 10.1016/j.sbspro.2014.11.217.

[10] Irena, R., Braicu, E.I., En-Nia, A., Heinrich, M., Mertens, P.R., Y-box protein-1/p18 as novel serum marker for ovarian cancer diagnosis: A study by the Tumor Bank Ovarian Cancer (TOC), Cytokine, (2016), 85, P. 157-164. Doi:10.1016/j.cyto.2016.06.021.

[11] Izadikhah, M., Khoshroo, A., Energy management in crop production using a novel fuzzy data envelopment analysis model, RAIRO-Oper. Res., 2018, 52 (2), P. 595-617, Doi: 10.1051/ro/2017082

[12] Kosak, M., Li, S., Loncarski, I., Marinc, M., Quality of bank capital and bank lending Behavoir during the global financial crisis, International Review of Financial Analysis, (2014), 37, P. 168-183. Doi: 10.1016/j.irfa.2014.11.008.

[13] Lee, C., Lee, C., Zeng, J., Hsu, Y., Peer bank behavior, economic policy uncertainty, and leverage decision of financial institutions, Journal of Financial Stability, (2017), 30, P. 79-91. Doi:10.1016/j.jfs.2017.04.004.

[14] Li, Q., Research on impact factors for online donation behavior of bank customer, The Journal of Finance and Data Science, (2017), 3, P. 13-19. Doi:10.1016/j.jfds.2017.09.001.

[15] Micco, A., Panizza, U., Bank ownership and lending behavior. Economics Letters, (2006), 93, P. 248-254. Doi: 10.1016/j.econlet.2006.05.009.

[16] Mahtabi Oghani., M., Najafi., A., Younessi, H., Comparison of Two Methods of Analytical Hierarchy Process and TOPSIS in Municipal Landfill (Case Study: Karaj Landfill Selection), Journal of Health and Environment Biology, (2013), 6(3), P. 341-352. (In Persian)

[17] Niraula, S., Behavioral Finance during Financial Crisis in a banking company, HAMK University of applied sciences, (2012).

[18] Proenca, J., Castro, L., Stress in business relationships: a study on corporate bank services, International Journal of Bank Marketing, (2005). Doi:10.1108/02652320510629890.

[19] Parsa, B., Sarraf, F. Financial Statement Comparability and the Expected Crash Risk of Stock Prices. Advances in Mathematical Finance and Applications, 2018, 3(3), P. 77-93. Doi: 10.22034/amfa.2018.544951

[20] Rod, M., Ashill, N., Gibbs, T., Customer perceptions of frontline employee service delivery: A study of Russian bank customer satisfaction and behavioral intentions, Journal of Retailing and Consumer Services, (2016), 30, P. 212-221. Doi: 10.1016/j.jretconser.2016.02.005.

[21] Rosenblatt, J., Laroche, M., Hochstein, A., McTavish, R., Sheehan, M., Commercial banking in Canada: a study of the selection criteria and service expectations of treasury officers, International Journal of Bank Marketing, (1988), 6 (4), P. 19-30. Doi: 10.1108/eb010835.

[22] Safari, S., Rafti, M., The effect of economic factors on the volume of deposits of selected private banks in Iran, Faculty of Economics and Accounting, Islamic Azad University of Central Tehran, (2019). (In Persian)

[23] Sánchez, M., López, F.,  Lacambra, J., How do neighboring peer companies influence SMEs' financial behavior?, Economic Modelling, (2017). Doi:10.1016/j.econmod.2017.01.023.

[24] Seyfollahi, R., Kordlouei, H., Dashti, N., Comparative study of the behavioral factors involved in financial asset investment, Scientific-Research Journal of Investment Knowledge, 4^th year, (2015), 15, P. 33-52. (In Persian)

[25] Shefrin, H. J., Statman, M., The Disposition to Sell Winners too Early and Ride Losers Too Long: Theory and Evidence”, The Journal of Finance, (1984), 40, P. 777-790. Doi: 10.1111/j.1540-6261.1985.tb05002.

[26] Siddique, N.E.A., Bank Selection Influencing Factors: A Study on Customer Preferences with Reference to Rajshahi City, Asian Business Review, (2012), 1(1), Doi: 10.18034/abr.v1i1.340.

[27] Shleifer, A., Inefficient Market: An Introduction to Behavioral Finance. Oxford University Press, (2000). Doi:10.1093/0198292279.001.0001.

[28] Schlesinger, W.D., Unsal, F., Zaman, M.R., Attributes of sound banking as perceived by small business: results of a survey, Journal of Small Business Management, (1987), 25, P. 47-53

[29] Salehi, A., Baharipour, A., Mohammadi, S. The Impact of Institutional Ownership on the Relationship between Tax and Capital Structure. Advances in Mathematical Finance and Applications, 2016, 1(2), P. 57-67. Doi: 10.22034/amfa.2016.527820

[30] Thomas, S., Brown, D., Fee, E., Financial leverage and bargaining power with suppliers: Evidence from leveraged buyouts. J. Corporate Financ, (2009), 15, P. 196–211. Doi:10.2139/ssrn.813025.

[31] Turnbull, P.W., Gibbs, M.J., The selection of banks and banking services among corporate customers in South Africa, International Journal of Bank Marketing, (1989), 7(5), P. 36-43. Doi: 10.1108/02652328910134662.

[32] Vinh, VO X., Bank lending behavior in emerging markets, Finance Re- search letters, (2018). Doi:10.1016/j.frl.2018.02.011.

[33] Zalaghi, H., Godini, M., mansouri, K. The Moderating Role of Firms characteristics on the Relationship between Working Capital Management and Financial Performance. Advances in Mathematical Finance and Applications, 2019, 4(1), P. 71-88. Doi: 10.22034/amfa.2019.581878.1158

[34] Zholud, Tsapin A., Talavera, O.,  Macroeconomic  Uncertainty  and  Bank  Lending  :  The  Case  of  Ukraine,  German  Institute  for  Economic  Research Discussion, (2006),  P. 637. Doi: 10.1016/j.ecosys.2011.06.005.