Abstract
Global consumer typologies are an effective instrument for identifying regional consumer clusters and addressing different client needs in a focused fashion. The objective of this study is to examine whether the international online users are a homogeneous target group, or if it is possible to identify segments by means of selected criteria for constructing typologies. To answer the research question through an online survey in which interviewees participated from the cultural areas France, Germany and the US, theoretically secured constructs of the purchasing behaviour in the internet were obtained as well as different cluster analyses carried out. The results show that the internet users can be divided into three clusters - the risk aversive doubters, the open minded online shoppers and the reserved information seekers.
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References
AILAWADI, K. L., NESLIN, S. A. and GEDENK, K. (2001): Pursuing the Value-Conscious Consumer: Store Brand Versus National Brand Promotions. Journal of Marketing, 65, 71–89.
BAKER J., LEVY M. and GREWAL D. (1992): An Experimental Approach to Making Retail Store Environmental Decisions. Journal of Retailing, 68, 445–460.
BERRY, J.W. (1993): An ecological approach to understanding cognition across cultures. In: J. Altarriba (Ed.): A Cross-Cultural Approach to Cognitive Psychology. Elsevier Science Publishers, Amsterdam, 361–375.
BLACKWELL, R., MINIARD, P. and ENGEL, J. (2001): Consumer Behavior, ITPS Thompson Learning, Fort Worth.
CHEN, Q. and WELLS, W. (1999): Attitude toward the Site. Journal of Advertising, 39, 27–37.
COSTA, P.JR. and MCCRAE, R. (1989): NEO PI/FFI Manual Supplement. Psychological Assessment Resources, Odessa.
CUNNINGHAM, S.M. (1967): he Major Dimensions of Perceived Risk. In: E.D.F. Cox (Ed.): Risk Taking and Information Handling in Consumer Behavior, Harvard University Press, Boston, 82–111.
EIGHMEY, J. and MCCORD, L. (1998): Adding value in the information age: Uses and gratifications of sites on the WWW. Journal of Business Research, 41(3), 187–194.
FRETER, H. (1983): Marktsegmentierung., Kohlhammer, Stuttgart.
FRITZ, W. (2001): Internet-Marketing und E-Commerce. Gabler, Wiesbaden.
GERBING, D. and ANDERSON, J. (1988): An Updated Paradigm for Scale Development Incorporating Undimensionality and its Assessment. Journal of Marketing Research, 25(2), 186–192.
HAIR, J.F., ANDERSON, R.E., TATHAM, R.L. and BLACK, W. C. (1995): Multivariate Data Analysis. Prentice-Hall, Englewood Cliffs 1995.
HESS, J. (1995): Construction and Assessment of a Scale to Measure Consumer Trust. In: B.B. Stern and G.M. Zinkhan (Eds.): AMA Educator's Proceedings. Chicago, 20–26.
HOFFMAN, D.L., NOVAK, T.P. and PERALTA, M. (1999): Building consumer trust online. Communications of the ACM, 42(4) 80–85.
JÄRVENPÄÄ, S.L. and TRACTINSKY, N. (1999): Consumer Trust in an internet store: A Cross-Cultural Validation. JCMC, 5(2).
KAMAKURA, W. and WEDEL, M. (1995): Life-style segmentation with tailored interviewing. Journal of Marketing Research, 32(8), 308–317.
KINI, A. and CHOOBINEH, J. (1998): Trust in electronic commerce. Proceedings of the Thirty-first Hawaii international Conference on System Science. Maui, 51–61.
LINGENFELDER, M. and LOEVENICH, P. (2003): Identifikation und Auswahl von Zielgruppen im E-Commerce. Marketing ZFP, 25, 119–131.
MOORMAN, C., DESHPAND, R. and ZALTMAN, G. (1993): Factors Affecting Trust in Market Research Relationships. Journal of Marketing, 57, 81–101.
TAN, S.J. (1999): Strategies for reducing consumers risk aversion in Internet shopping. Journal of Consumer Marketing, 16, 163–180.
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Bauer, H.H., Neumann, M.M., Huber, F. (2005). Intercultural Consumer Classifications in E-Commerce. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_66
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DOI: https://doi.org/10.1007/3-540-28084-7_66
Publisher Name: Springer, Berlin, Heidelberg
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