Innovation Management in Defensive Organizations

Innovation Management in Defensive Organizations

Segmentation of Banking Industry Customers Based on Their Attitudes and Financial Behavior

Document Type : Original Article

Authors
Iran University of Science and Technology
Abstract
Background and Purpose: Segmentation is one of the most useful tools for a better understanding of customer diversity, and managers can allocate marketing activities efficiently and effectively to homogeneous and prioritized customer groups. Earlier research on the segmentation of financial services customers show that these studies often rely on socio-demographic information and are less paid to psychological and behavioral variables that indicate why customers are selected and preferred. Therefore, the present study aimed to segment the banking industry market based on the attitude and financial behavior of customers.
Methodology: In order to discover the desired segments, studies were done based on the theme analysis. Then, through a survey of internal and external experts, the indicators were formulated in 56 questions and distributed among the 30 clients as a pre-test. After pre-test confirmation and determining of the sample size, questionnaires were distributed through random cluster sampling and finally 355 full questionnaires were received.
Results: Based on factor analysis, 14 attitudinal factors and financial behavior were identified and analyzed using cluster analysis of participants in four sections: Paid Savers, Financial Experts, Independent Concerned Spenders and Indifferent Followers.
Conclusion: Bank customers have significant differences in terms of demographic characteristics, attitudes and financial behavior. Therefore, in this research, in order to improve the level of customer interaction with the bank, they are divided into four groups and appropriate marketing solutions and recommendations for each of them were presented.
Keywords

اسفیدانی، محمد رحیم؛ محمودی، سید محمد؛ کیماسی، مسعود؛ محمدی، حمزه؛ و پارسافرد، محمدرضا (1393)، بخش بندی بازاربانکداری خرد بر مبنای مزایای مورد انتظار مشتریان: مطالعه‌ای در بانک ملت، نشریه مدیریت بازرگانی، دوره 6، شماره 2، صص 250-227.
حسینی، فرشید؛ نجف پور، حمیدرضا؛ خدمتی، محمد؛ یزدانی، حمیدرضا (1388)، بخش‌بندی مشتریان خدمات بانکی بر اساس منافع مورد انتظار مشتری: مطالعه موردی موسسه مالی و اعتباری مهر، اولین کنفرانس بین المللی بازاریابی خدمات بانکی، تهران.
رنجبریان، بهرام (1378)، بازاریابی و مدیریت بازار، تهران، شرکت چاپ و نشر بازرگانی، چاپ اول.
علیپور، مهرداد؛ کوارویی، محمد مهدی (1389)، بازاریابی و مدیریت بازار (با نگرش مدرن)، تهران، انتشارات مهکامه، چاپ اول.
مقیمی، سید محمد؛ کیماسی، مسعود (1390)، بازاریابی خدمات بانکی، تهران، موسسه انتشارات دانشگاه تهران، چاپ اول.
مؤمنی، منصور (1390)، خوشه‌بندی داده‌ها (تحلیل خوشه‌ای)، مؤلف، تهران.‌
یعقوب نژاد، احمد؛ نیکومرام، هاشم و معین‌الدین، محمود (1390)، ارائه الگویی جهت سنجش سواد مالی دانشجویان ایرانی با استفاده از روش دلفی فازی، مجله مهندسی مالی و مدیریت اوراق بهادار، شماره 8، صص 23-1.
Ameriks, J., Caplin, A., Leahy, J., Tyler, T. (2003). Measuring self-control problems, American Economic Review, 97 (3), 966–972.
Ameriks, J., Caplin, A., Leahy, J. (2007). Wealth accumulation and the propensity to plan. The Quarterly Journal of Economics, 118 (3), 1007–1047.
Aryuni, M., Madyatmadja, E. D., & Miranda, E. (2018). Customer Segmentation in XYZ Bank ‌Using K-Means and K-Medoids Clustering. Paper presented at the 2018 International ‌Conference on Information Management and Technology (ICIMTech).‌
Bruner II, G. C., Hensel, P. J. and James, K. E. (2005). Marketing scales handbook: A compilation of multi-item measures for consumer behavior & advertising, 4th edition, American Marketing Association, Chicago, Illinois.
Dibb, S. and Simkin, L. (2001). Market segmentation: diagnosing and treating the barriers, Industrial Marketing management, Vol. 30, No. 8, pp. 609-625
Dickson, P. R. and Ginter, J. L. (1987). Market segmentation, product differentiation, and marketing strategy, Journal of Marketing, Vol. 51 No. 2,  pp. 1-10.
Thomas, E., Rao, S. and Javalgi, R. (1990), Affluent and Nonaffluent Consumers′ Needs: Attitudes, and Information‐Seeking Behaviour in the Financial Services Marketplace, Journal of Services Marketing, Vol. 4 No. 4, pp. 41-54
Fünfgeld, B. Wang, M. (2009). Attitudes and behaviour in everyday finance: evidence from Switzerland, International Journal of Bank Marketing, Vol. 27 Iss 2 pp. 108 – 128.
Goyat, S. (2011). The basis of market segmentation: a critical review ofliterature, European Journal of Business and Management, Vol 3, No. 9 ,pp 45-54
Gunnarsson, J. and Wahlund, R. (1997). Household financial strategies in Sweden: an exploratory study, Journal of Economic Psychology, Vol. 18, 2-3, 201-33.
Harrison, T. (2000). Financial Services Marketing, FT Prentice Hall-Financial Times, Harlow.
Harrison, T. (1994). Mapping Customer Segments for Personal Financial, International Journal of Bank Marketing, Vol. 12 No. 8 ,pp. 17-25
Ho, S. C., Wong, K. C., Yau, Y. K., & Yip, C. K. (2019). A Machine Learning Approach for Predicting Bank ‌Customer Behavior in the Banking Industry Machine Learning and Cognitive Science ‌Applications in Cyber Security (pp. 57-83): IGI Global.‌
Jansen, C. and Hackethal, A. (2008). How to Meet Private Investors Advisory Needs, 20th Australasian Finance & Banking Conference, Australia.
Kotler, P. & Armstrong, G. (2011). Principles of Marketing (14th ed), New Jersey, MA: Prentice-Hall.
Kotler, P. and Keller, K. L. (2006). Marketing Management, 12e, Upper Saddle River, NJ: Pearson Prentice Hall.
Kotler, P. (1978). Marketing Management: Analysis, Planningand Control, 4th ed., Prentice-Hall, New York, NY, and Young, S.L., Ott, L., and Feigin, B., Some PracticalConsiderations in Market Segmentation, Journal ofMarketing Research, 1980, Vol. 15, pp. 405-12.
Machauer, A. and Morgner, S. (2001). Segmentation of bank customers by expected benefits and attitudes, International Journal of Bank Marketing, Vol. 19 No. 1, pp. 6-17.
Miller, S. Easterling, D. (1992). Banking Segmentation Strategy: A Lifestyle Approach, ‌Journal of Professional Services Marketing, Vol. 8 No1, pp. 177-188.‌
‌Schagen, S. and Lines, A. (1996). Financial Literacy in Adult Life: A Report to the Natwest ‌Group Charitable Trust, National Foundation for Educational Research, Slough.‌
Sebestad, J. Cohen, M. Stack, K. (2005). Assessing the outcomes of Financial Education (working paper), Microfinance Opportunities, Washington DC.
Shaw, E. H. (2003). The romance of marketing history proceeding of the 11th conference on historical analysis and research in marketing (CHARM), Michigan State University, East Lansing, Michigan: Published by Association for Historical Research in Marketing in Boca Raton, FL .
Smith, W. (1956). Product Differentiation and Market Segmentation as an Alternative Marketing Strategy, Journal of Marketing, Vol. 21 No. 1, 3-8.
Stephenson, D. Worthington, S, Russell-Bennett, R. (2013). The financial services cultural orientation matrix, Australaisan Marketing Journal, 21(1), 1-8.
Wang, G., Bai, Y., & Sun, Y. (2018). Application of BP neural network algorithm in bank customer ‌hierarchy system. Paper presented at the 2017 3rd International Forum on Energy, ‌Environment Science and Materials (IFEESM 2017).‌
Weddel, M. and Kamakura, WA. (2002). Introduction to the special issue on market segmentation, Intern. J. of Research in Marketing 19, 181–183
Winter, F. and Thomas, H. (1985). An Extension of Market Segmentation: Strategic Segmentation, in Thomas, H. and Gardner, D. (Eds), Strategic Marketing and Management, John Wiley, New York, NY