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Ekonomski horizonti
2011, vol. 13, br. 1, str. 125-141
jezik rada: engleski
vrsta rada: stručni članak
Preference-based segmentation of young clients: Implementation on the market of bank accounts
(naslov ne postoji na srpskom)
Science and Econometrics, Cracow University of Economics, Cracow, Poljska

Sažetak

(ne postoji na srpskom)
The purpose of this paper is to explore diversity of the segment of young customers of bank accounts. To this end, the research among students of Cracow University of Economics was conducted. Firstly, the author used the conjoint analysis to examine respondents' preferences regarding individual aspects of bank account: number of charge-free ATM's and various bank charges. By using this technique, it was possible to calculate the relative importance of these features for each respondent. With the use of the obtained calculations and k-mean clustering, 4 homogeneous groups of students were identified. Each of these groups differs in bank preferences, as well in demographic features. These results lead to the conclusion that the segment of young customers of bank accounts is very complex and need very detailed analysis in order to perform successful marketing campaign.

Ključne reči

Reference

Acito, F., Jain, A.K. (1980) Evaluation of conjoint analysis results: A comparison of methods. Journal of Marketing Research, February, 17, 106-112
Akaah, I.P., Korgaonkar, P.K. (1983) An empirical comparison of the predictive validity of self-explicated, Huber-hybrid, traditional conjoint and hybrid conjoint models. Journal of Marketing Research, May, 20, 187-197
Arias, J.T. (1996) Conjoint-based preferential segmentation in the design of a new financial service. International Journal of Bank Marketing, March, 14/3, 30-32
Bąk, A., Walesiak, M. (2000) Conjoint analysis w badaniach marketingowych. Wrocław: Wydawnictwo Akademii Ekonomicznej we Wrocławiu
Carroll, J.D., Green, P.E. (1995) Psychometric methods in marketing research: Part 1, conjoint analysis. Journal of Marketing Research, November, 32, 385-391
Churchill, G.A. (2002) Badania marketingowe: Podstawy metodologiczne. Warszawa: PWN
Gatnar, E., Walesiak, M. (2004) Metody statystycznej analizy wielowymiarowej w badaniach marketingowych. Wrocław: Wydawnictwo Akademii Ekonomicznej
Green, P.E., Rao, V.R. (1971) Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, 8, 355-363
Hair, J.F.Jr., Anderson, R.E., Tatham, R.L., Black, C.W. (1998) Multivariate data analysis with readings. Englewood Cliffs, NJ, itd: Prentice Hall
Jaeger, S.R., Hedderley, D., MacFie, H.J.H. (2000) Methodological issues in conjoint analysis: A case study. European Journal of Marketing, March, 35, 11/12, 1217-1237
Laukkanen, T. (2007) Customer preferred channel attributes in multi-channel electronic banking. International Journal of Retail & Distribution Management, 35(5): 393-412
Luce, R.D., Tukey, J.W. (1964) Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, br. 1, str. 1-27
Mcqueen, J.B. (1967) Some methods for classification and analysis of multivariate observations. u: Proceedings of Berkeley Symposium on mathematical statistics and probability, Berkeley, CA, itd: University of California Press, 1, str. 281-297
Oppewal, H., Vriens, M. (2000) Measuring perceived service quality using integrated conjoint experiments. International Journal of Bank Marketing, March, 18/4, 154-169
Panek, T. (2009) Statystyczne metody wielowymiarowej analizy porównawczej. Warszawa: Szkoła Główna Handlowa - Oficyna Wydawnicza
Varian, H.R. (1990) Intermediate microeconomics: A modern approach. New York, itd: Norton
Walesiak, M. (1996) Metody analizy danych marketingowych. Warszawa: PWN
Wittink, D.R., Cattin, P. (1989) Commercial use of conjoint analysis: An update. Journal of Marketing, 53, 91-96