Business Client Segmentation in Banking Using Self-Organizing Maps

1. Agarwal, J., Malhotra, N. K., Bolton, R. N. 2010. A cross-national and cross-cultural approach to global market segmentation: An application using consumers’ perceived service quality. Journal of International Marketing 18(3): 18-40.10.1509/jimk.18.3.18Search in Google Scholar

2. Anderson, W.T., Cox, E.P., Fulcher, D.G. 1976. Bank Selection Decisions and Market Segmentation. Journal of Marketing 40(1): 40-45.Search in Google Scholar

3. Assunçao, J. 2013. Eliminating entry barriers for the provision of banking services: Evidence from ‘banking correspondents’ in Brazil. Journal of Banking & Finance 37(8): 2806-2811.10.1016/j.jbankfin.2013.03.016Search in Google Scholar

4. Athanassopoulos, A. D. 2000. Customer satisfaction cues to support market segmentation and explain switching behavior. Journal of Business Research 47(3): 191-207.10.1016/S0148-2963(98)00060-5Search in Google Scholar

5. Bloom, J.Z. 2004. Tourist market segmentation with linear and non-linear techniques. Tourism Management 25(6): 723-733.10.1016/j.tourman.2003.07.004Search in Google Scholar

6. Chan, K.Y., Kwong, C.K., Hu, B.Q. 2012. Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods. Applied Soft Computing 12(4): 1371-1378.10.1016/j.asoc.2011.11.026Search in Google Scholar

7. Chen, J., Bell, P. C. 2012. Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure. International Journal of Production Economics 136(1): 56-66.10.1016/j.ijpe.2011.09.009Search in Google Scholar

8. Deboeck, G., Schmitt, B. 1998. Differential Patterns in Consumer Purchase Preferences using Self-Organizing Maps: A Case Study of China, Visual Explorations in Finance: with selforganizing maps, edited by G. Deboeck, T. Kohonen, 141-156, London: Springer.10.1007/978-1-4471-3913-3_10Search in Google Scholar

9. Denton, L., Chan, A.K.K. 1991. Bank Selection Criteria of Multiple Bank Users in Hong Kong, International Journal of Bank Marketing 9(5): 23-34.10.1108/02652329110007129Search in Google Scholar

10. Edris, T. A. 1997. Services considered important to business customers and determinants of bank selection in Kuwait: a segmentation analysis. International Journal of Bank Marketing 15(4): 126-133.10.1108/02652329710189393Search in Google Scholar

11. Ekinci, Y., Uray, N., Ulengin, F. (2014). A customer lifetime value model for the banking industry: a guide to marketing actions. European Journal of Marketing 48(3/4), Accepted for publication.10.1108/EJM-12-2011-0714Search in Google Scholar

12. Garland, R. 2005. Segmenting retail banking clients. Journal of Financial Services Marketing 10: 179-191.10.1057/palgrave.fsm.4770184Search in Google Scholar

13. Han, J., Kamber, M. 2006. Data Mining: Concepts and Techniques. Tokyo: Morgan Kaufmann Publishers.Search in Google Scholar

14. Hanafizadeh, P., Mirzazadeh, M. 2011. Visualizing market segmentation using self-organizing maps and Fuzzy Delphi method ADSL market of a telecommunication company. Expert Systems with Applications 38(1): 198-205.10.1016/j.eswa.2010.06.045Search in Google Scholar

15. Hung, C. Tsai, C.F. 2008. Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand, Expert Systems with Applications 34(2): 780-787.10.1016/j.eswa.2006.10.012Search in Google Scholar

16. Jagric, T., Jagric, V. 2011. A Comparison of Growing Cell Structures Neural Networks and Linear Scoring Models in the Retail Credit Environment. Eastern European Economics 49(6): 74-96.10.2753/EEE0012-8775490605Search in Google Scholar

17. Kiang, M. Y. 2001. Extending the Kohonen self-organizing map networks for clustering analysis. Computational Statistics & Data Analysis 38: 161-180.10.1016/S0167-9473(01)00040-8Search in Google Scholar

18. Kiang, M.Y., Hu, M.Y., Fisher, D.M. 2006. An extended self-organizing map network for market segmentation-a telecommunication example. Decision Support Systems 42(1): 36-47.10.1016/j.dss.2004.09.012Search in Google Scholar

19. Kim, J. N., Grunig, J. E. 2011. Problem solving and communicative action: A situational theory of problem solving. Journal of Communication 61(1): 120-149.10.1111/j.1460-2466.2010.01529.xSearch in Google Scholar

20. Kohonen, T. 1995. Self-organizing maps. Berlin: Springer-Verlag.10.1007/978-3-642-97610-0Search in Google Scholar

21. Kotler, P., Armstrong, G., Saunders, J. & Wong, V. 2001. Principles of Marketing, Prentice Hall, Harlow.Search in Google Scholar

22. Kumar, P. R., Ravi, V. 2007. Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review. European Journal of Operational Research 180: 1-28.10.1016/j.ejor.2006.08.043Search in Google Scholar

23. Kuo, R.J., Ho, L.M., Hu, C.M. 2002. Integration of self-organizing feature map and K-means algorithm for market segmentation. Computers & Operations Research 29(11): 1475-1493.10.1016/S0305-0548(01)00043-0Search in Google Scholar

24. Laroche, M., Rosenblatt, J.A., Manning, T. 1986. Services Used and Factors Considered Important in Selecting a Bank: An Investigation across Diverse Demographic Segments, International Journal of Bank Marketing 4(1): 35 - 55.10.1108/eb010771Search in Google Scholar

25. Lee, K., Booth, D., Pervaiz, A. 2005. A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms. Expert Systems with Applications, 2: 1-16.Search in Google Scholar

26. Machauer, A., Morgner, S. 2001. Segmentation of bank clients by expected benefits and attitudes, International Journal of Bank Marketing, 19(1): 6-18.Search in Google Scholar

27. Mäenpää, K. 2006. Clustering the consumers on the basis of their perceptions of the Internet banking services. Internet Research, 16(3): 304-322.10.1108/10662240610673718Search in Google Scholar

28. Mangiameli, P., Chen, S. K., West, D. 1996. A comparison of SOM neural network and hierarchical clustering methods. European Journal of Operational Research 93(2): 402-417.10.1016/0377-2217(96)00038-0Search in Google Scholar

29. Nasri, W., Charfeddine, L. 2012. Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research 23(1):1-14.10.1016/j.hitech.2012.03.001Search in Google Scholar

30. Patsiotis, A. G., Hughes, T., Webber, D. J. 2012. Adopters and non-adopters of internet banking: a segmentation study. International Journal of Bank Marketing 30(1): 20-42.10.1108/02652321211195686Search in Google Scholar

31. Shocker, A. D., Ben-Akiva, M., Boccara, B., Nedungadi, P. 1991. Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions. Marketing letters 2(3): 181-197.10.1007/BF02404071Search in Google Scholar

32. Sponer, M. 2012. Segmentation of corporate clients in a bank, Masaryk University, Brno, Czeck Republik.Search in Google Scholar

33. Turnbull, P. W., Gibbs, M. L. 1987. Marketing bank services to corporate customers: the importance of relationships. International Journal of Bank Marketing 5(1): 19-26.10.1108/eb010796Search in Google Scholar

34. Vellido, A., Lisboa, P.J.G., Meehan, K. 1999. Segmentation of the on-line shopping market using neural networks. Expert Systems with Applications, 17(4): 303-314.10.1016/S0957-4174(99)00042-1Search in Google Scholar

35. Venkatesh, R. 2011. New Parameters in Market Segmentation- Ethnic Marketing is the Key. Advances In Management 4(11): 15-19.Search in Google Scholar

36. Watson, H.J., Wixom, B.H. 2007. The Current State of Business Intelligence, Computer, 40(9): 96-99.Search in Google Scholar

37. Wedel, M., Kamakura, W. 2003. Market Segmentation: Conceptual and Methodological Foundations, Kluwer Academic Publishers, Norwell.Search in Google Scholar