Exploring financial parameters and innovative orientation of banks as criteria for selecting financial partners for enterprises
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DOIhttp://dx.doi.org/10.21511/bbs.15(1).2020.12
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Article InfoVolume 15 2020, Issue #1, pp. 118-131
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The article substantiates aspects that are fundamental for the economic justification of the bank selection by enterprises as the main stage in the partnership formation. It also defines the development of a bank selection procedure taking into account the financial parameters and innovative orientation of banks.
The proposed procedure for selecting banks includes two blocks. The first block is the comparison of banks in terms of reliability, which is determined based on indicators for assessing their financial risks and confidence of enterprises. The second block is the comparison of the most reliable banks according to the operational capabilities of Internet banking systems (in terms of functionality) and the intensity of promotion of innovative products and services that meet the needs of enterprises.
The proposed bank selection procedure is mainly based on applying the classification functions that allow the reliability-based differentiation as well as comparison of banks. The proposals submitted with the aim to develop classification functions, as well as the bank selection procedure as a whole, were tested based on the financial statements and general information on the Ukrainian banks’ activity as of January 1, 2019. The following results were obtained while testing the developed procedure: It defines the features specific to dividing the analyzed Ukrainian banks into groups (70% are high-reliability banks, 7% are medium-reliability banks, and 23% are low-reliability banks). It also highlights the fact that reliable banks are focused on innovating and developing remote services for their business clients.
- Keywords
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JEL Classification (Paper profile tab)G21, M21, O31
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References48
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Tables9
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Figures0
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- Table 1. Financial parameters for determining bank reliability
- Table 2. Dispersion analysis of Ukrainian bank clusters by their reliability levels (before excluding certain financial parameters that are not significant for clustering)
- Table 3. Dispersion analysis of Ukrainian bank clusters by their reliability levels (after excluding certain financial parameters that are not significant for clustering)
- Table 4. Primary clustering results (the primary classification matrix)
- Table 5. The primary classification matrix transformation as a result of discriminant analysis (two adjustment stages were performed based on Squared Mahalanobis Distances and Posterior Probabilities)
- Table 6. Discriminant analysis summary
- Table 7. The results of the integrated assessment of the Ukrainian banks reliability within the existing clusters
- Table 8. Results of comparison of Ukrainian banks on the functionality of Internet banking systems for servicing enterprises
- Table 9. Comparison results of Ukrainian banks on the intensity of innovation promotion in the field of enterprise servicing
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- Ahmad, A. M. K., & Al-Zu’bi, H. A. (2011). E-banking functionality and outcomes of customer satisfaction: an empirical investigation. International Journal of Marketing Studies, 3(1), 50-65.
- Aldlaigan, A., & Buttle, F. (2005). Beyond satisfaction: customer attachment to retail banks. International Journal of Bank Marketing, 23(4), 349-358.
- Alhinai, Y. S., Albadi, A., Alshihi, H., & Al-Gharbi, K. (2013). Investigating determinants of E-banking adoption by individuals: comparing the impact of system characteristics and user traits. International Review of Management and Business Research, 2(2), 371-387.
- Al-Weshah, G. A. (2013). The role of internet banking in continuous improvement areas: quantitative evidence from Jordanian bank. International Journal of Business Performance Management, 14(2), 181-196.
- Aregbeyen, O. (2011). The Determinants of bank selection choices by customers: recent and extensive evidence from Nigeria. International Journal of Business and Social Science, 2(22), 276-288.
- Bloemer, J., de Ruyter, K., & Peeters, P. (1998). Investigating drivers of bank loyalty: the complex relationship between image, service quality and satisfaction. International Journal of Bank Marketing, 16(7), 276-286.
- Casaló, L. V., Flavián, C., & Guinalíu, M. (2007).The role of security, privacy, usability and reputation in the development of online banking. Online Information Review, 31(5), 583-603.
- Chidindi, S., Niekerk, J., & Matiza, T. (2014). Perceptions of electronic banking services by clients in the Limpopo province of South Africa. Mediterranean Journal of Social Sciences, 5(8), 253-267.
- Chmutova, I. M., & Kharytonova, V. S. (2017). Ryzyk-oriientovanyi pidkhid do formuvannia finansovoi stratehii banku [The risk-oriented approach to the bank financial strategy development]. Ekonomika rozvytku – Economics of Development, 4(84), 59-67. (In Ukrainian).
- Denton, L., & Chan, A. K. K. (1991). Bank selection criteria of multiple bank users in Hong Kong. International Journal of Bank Marketing, 9(5), 23-34.
- Ennew, C. T., & Binks, M. R. (1996). The impact of service quality and service characteristics on customer retention: small business and their banks in the U.K. British Journal of Management, 7(3), 219-230.
- Eriksson, K., Kerem, K., & Nilsson, D. (2008). The adoption of commercial innovations in the former central and Eastern European markets: The case of Internet banking in Estonia. The International Journal of Bank Marketing, 26(3), 154-169.
- Filip, A., & Anghel, L. D. (2009). Customer loyalty and its determinants in a banking services environment. Amfiteatru Economic, 11(26), 288-297.
- Fishburn, P. (1970). Utility theory for decision making (224 p.). New York: John Wiley & Sons, Inc.
- Fragata, A., & Gallego, P. (2010). The importance of perceived service quality in banking loyalty for large business customers (Monográfico) (pp. 151-164). Revista de la Facultad de Ciencias Económicas y Empresariales, Universidad de León.
- Gunaratnam, A., Kajenthiran, K., Umanakenan, R., & Achchuthan, S. (2018). Factors influencing on e-Banking practices: Evidence from Sri Lanka. Journal of Sociological Research, 9(1), 1-14.
- Guo, Y. (2017). Implementing relationship banking strategies and techniques and improving customer value. Finance and Market, 2(2).
- Hedayatnia, A., & Eshghi, K. (2011). Bank selection criteria in the Iranian retail banking industry. International Journal of Business and Management, 6(12), 222-231.
- Jobling, E., Walker, G., & Heffernan, T. (2009). Service quality attributes SME’s desire in their choice and retention of a bank: an Australian perspective. International Review of Business Research Papers, 5(3), 12-25.
- Johns, R., & Perrott, B. (2008). The impact of Internet banking on business-customer relationships (are you being self-served?). The International Journal of Bank Marketing, 26(7), 465-482.
- Kashmari, A., Nejad, A. H. G., & Nayebyazdi, A. (2016). Impact of electronic banking innovations on bank deposit market share. Journal of Internet Banking and Commerce, 21(1), 1-12.
- Lam, R., & Burton, S. (2006). SME banking loyalty: A qualitative study in Hong Kong. International Journal of Bank Marketing, 24(1), 37-52.
- Lam, R., Lo, H. P., & Burton, S. (2005). Investigating the drivers of SME’s banking loyalty in Hong Kong. Proceedings of the Australian and New Zealand Marketing Academy (ANZMAC) Conference (pp. 172-180). Perth, Australia.
- Lelissa, M. B., & Lelissa, T. B. (2017). Determinants of bank selection choices and customer loyalty the case of Ethiopian banking sector. European Journal of Business and Management, 9(13), 9-24.
- Liao, Z., & Cheung, M. (2002). Internet-based e-banking and consumer attitudes: an empirical study. Information & Management, 39(4), 283-295.
- Efma. (2014). Looking at the bank from the customer’s point of view (Report). Ernst & Young, European Financial Management Association.
- MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (pp. 281-297).
- Monge-González, R. (2011). The impact of Internet banking on the performance of micro and small enterprises in Costa Rica: A randomized controlled experiment (IDB Working Paper Series No. IDB-WP-242). Inter-American Development Bank (IDB), Washington.
- Mwange, A. (2017). Determinants of bank selection criteria: the case of University of Zambia Students. Imperial Journal of Interdisciplinary Research, 3(3), 345-355.
- National Bank of Ukraine (NBU). (2019). Banking system indicators.
- Nielsen, J. F., Terry, C., & Trayler, R. M. (1998). Business banking in Australia: A comparison of expectations. International Journal of Bank Marketing, 16(6), 253-263.
- Novokmet, A. K., & Tokić, I. (2016). Adoption of Internet banking service within the corporate sector: evidence from newly acceded EU country. In Proceedings of the International Scientific Conference “Finance and Accounting in Creating Information about Financial Position of Reporting Entities.” Katowice, Poland.
- Pezzetti, R. (2004). Bank-firm customer relations in the new competitive environment: prospects for relationship banking. Quaderno di Ricerca – Research Booklet No. 7. Faculty of Economics, University of Pavia.
- Pljuta, V. (1980). Sravnitelnyy mnogomernyy analiz v ekonomicheskikh issledovaniyakh. Metody taksonomii i faktornogo analiza [Multidimensional comparative analysis in Economic Research. Taxonomy and factor analysis methods]. Moscow: Statistika. (In Russian).
- Poturak, M. (2012). Marketing factors influencing bank selection in Bosnia and Herzegovina. CEA Journal of Economics, 7(2), 5-16.
- Proença, J. F., & de Castro, L. M. (2005). “Stress” in business relationships: a study on corporate bank services. International Journal of Bank Marketing, 23(7), 527-541.
- Rahi, S. (2015). Moderating role of brand image with relation to Internet banking and customer loyalty: a case of branchless banking. Journal of Internet Banking and Commerce, 20(3).
- Rashid, M. (2012). Bank selection criteria in developing country: evidence from Bangladesh. Asian Journal of Scientific Research, 5(2), 58-69.
- Rotchanakitumnuai, S., & Speece, M. (2004). Corporate customer perspectives on business value of Thai Internet banking. Journal of Electronic Commerce Research, 5(4), 270-286.
- Sadozai, A. M., Saleem, A., Chuanmin, S., Ali, M. R., & Marri, M. Y. K. (2017). Factors affecting customers’ satisfaction in online banking: empirical evidence from developing countries. International Journal of Advanced Biotechnology and Research, 8(2), 96-104.
- Saleh, M. S., Rosman, M. R., & Nani, N. K. (2013). Bank selection criteria in a customers’ perspective. Journal of Business and Management, 7(6), 15-20.
- Siddique, Md. N.-E-A. (2012). Bank selection influencing factors: a study on customer preferences with reference to Rajshahi city. Asian Business Review, 1(1), 81-87.
- Tan, M., & Teo, T. S. H. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(1).
- Global Banking & Finance Review. (2019, February 1). 3 Major Areas of Banking Poised for AI-Driven Disruption in 2019.
- Turnbull, P. W., & Gibbs, M. J. (1989). The selection of banks and banking services among corporate customers in South Africa. International Journal of Bank Marketing, 7(5), 36-39.
- Voroneanu, C. B. (2013). The credit relationship between banks and companies and its effects on the real economy. Management Strategies Journal, 21(3), 105-112.
- Zahorulko, A. V. (2008). Chyselni metody u mekhanitsi [Numerical methods in mechanics] (186 p.). Sumy: SumDU. (In Ukrainian).
- Zineldin, M. (1996). Bank-corporate client “partnership” relationship: benefits and life cycle. International Journal of Bank Marketing, 14(3), 14-22.