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Volume 7
Issue 1
Online publication date 2011-01-16
Title What influences online shopping of individuals from European countries?
Author Tino Kujundzic, Mario Jadric, Maja Cukusic
Abstract The trend of broadband Internet expansion in conjunction with the increasing orientation of consumers towards buying via web shops, all combined with increased usage of e-banking services have contributed largely to the growth of online shopping trend. This paper deals with determining the influence of the chosen input variables (reading online magazines and newspapers, searching for product information online, using web TV, radio and e-banking services) on the observed target variable (online shopping, categorized by the level of its development in terms of individuals in European countries). The database was preloaded with data from EUROSTAT consisting of values for the abovementioned variables for 29 European countries in the period from 2007 to 2009. For the data mining process, the open source application Orange Canvas was used.
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References
Atak, M., Erturgut, R., 2010. “Importance of educated human resources in the information age and view of information society organizations on human,” Procedia - Social and Behavioral Sciences, Vol.2, (2) Innovation and Creativity in Education, pp.1452- 456, DOI: 10.1016/j.sbspro.2010.03.217

Carayannis, E., Sagi, J., 2002. “Exploiting opportunities of the new economy: developing nations in support of the ICT industry,” Technovation, Vol.22 (8), pp.517-24, DOI: 10.1016/S0166-4972(01)00046-3

Chiu S., Tavella, D., 2008. Data mining and market intelligence for optimal marketing returns, Butterworth-Heinemann

Chu, B., Tsai, M., Ho, C., 2007. “Toward a hybrid data mining model for customer retention,” Knowledge-Based Systems, Vol.20(8), pp.703-18.DOI:http://dx.doi.org/10.1016/j.knosys. 2006.10.003

Clark, P., Boswell, R., 1991. “Rule induction with CN2: Some recent improvements,” Machine Learning - European Working Session on Learning (EWSL-91), Lecture Notes in Computer Science, Vol.482, pp.151-63, DOI: 10.1007/BF b0017011

European Commission, 2009. i2010 benchmarking framework, available from http://ec.europa.eu/information_society/ eeurope/i2010/benchmarking [accessed 06/03/2010]

EUROSTAT, 2005, Information Society portal, available from http://epp.eurostat.ec.europa.eu/portal/page/portal/information_society/introduction [accessed 06/03/2010]

Hosgorur, V., Bilasa, P., 2009. “The problem of creative education in information society,” Procedia - Social and Behavioral Sciences, Vol.1, World Conference on Educational Sciences, Nicosia, North Cyprus, 4-7 February 2009 - New Trends and Issues in Educational Sciences, pp.713-17, DOI: 10.1016/j.sbspro.2009.01.125

Huh, M., Park, D., 2008. “Enhancing parallel coordinate plots,” Journal of the Korean Statistical Society, Vol.37 (2), pp.129-33, DOI: 10.1016/j.jkss.2007.10.003

Javorović, B.,  Bilandžić, M.,  2007. Poslovne informacije i business intelligence, Golden Marketing, Zagreb (in Croatian)

Klepac, G., Mršić, L., 2006. Poslovna inteligencija kroz poslovne slučajeve, Lider Press, Zagreb (in Croatian)

Lessmann, S., Voss, S., 2009. “A reference model for customer-centric data mining with support vector machines,” European Journal of Operational Research, Vol.199 (2), pp.520-30, DOI: 10.1016/j.ejor.2008.12.017

Orange Canvas website, available from http://www.ailab.si/orange [accessed 06/03/2010]

Panian, Ž., Klepac, G., 2003. Poslovna inteligencija, Masmedia, Zagreb (in Croatian)

Rygielski, C., Wang, J.C., Yen, D.C., 2002. “Data mining techniques for customer relationship management,” Technology in Society, Vol.24 (4), pp.483-02, DOI: 10.1016/S0160-791X(02)00038-6

Wang, H., Hong, W., 2006. “Managing customer profitability in a competitive market by continuous data mining,” Industrial Marketing Management, Vol.35 (6), pp.715-23, DOI: 10.1016/j.indmarman.2005.06.005

Zupan,B., Leban,G., Demsar,J., Curk,T., 2010. Widgets and Visual Programming, available from http://www.ailab.si/orange/wp/orange widgets.pdf [accessed 06/03/2010]
Keywords Online shopping, data mining, Orange Canvas, CN2 rules.
DOI http://dx.doi.org/10.15208/pieb.2011.4
Pages 16-20
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