KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

E-shopping Across EU – Why Some Individuals Refuse to Adopt It?

Published date: Nov 26 2018

Journal Title: KnE Social Sciences

Issue title: The Economies of the Balkan and the Eastern European Countries in the changing World (EBEEC 2018)

Pages: 265–279

DOI: 10.18502/kss.v3i10.3543

Authors:
Abstract:

Despite many advantages of e-commerce for both firms and buyers, it is still not equally adopted by customers in all European Union countries. According to Digital Scoreboard in countries such as United Kingdom and Denmark, nearly 90% of Internet users shop online. On the other hand, in Romania and Bulgaria, not even one-third of the Internet users buy goods and services online. Diffusion of e-shopping clearly has different pace across EU. In this article, we focus on individuals who refuse to purchase over Internet and aim to explore reasons for their behavior. To do so, we rely on Community Statistics on Information Society (CSIS) microdata for the year 2015. Individuals who report ordering and buying over the Internet more than one year ago and those who never engaged in online shopping were asked about reasons for not buying online. Potential reasons include lack of skills, privacy and security concerns, delivery concerns and problems, not having payment cards as well as habit, loyalty and preference of shopping in stores. The focus of this article is on comparison of reasons for not shopping online of individuals in EU countries that lead in adoption of e-shopping with laggard countries. We first analyze the prevalence of reasons for not buying online and compare countries in that respect. Among individuals who did not adopt e-shopping, there are those who have tried it at one point in time and did not continue to use it frequently and those who actually never engaged in buying over Internet. Both have certain reasons and constrains that prevent them from adopting this form of shopping. The analysis is followed by identification of reasons that significantly affect probability of trying online shopping, if not adopting it fully. It can be assumed that gaining true experience might contribute to increase in adoption of e-shopping among individuals. This is even more important for countries that still lag behind not just in buying online but in overall digital performance.

 

 

Keywords: e-shopping, adoption, customers, European Union

References:

[1] Alba, J., Lynch, J., Weitz, B., et al. (1997). Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, vol. 61, pp. 38–53.


[2] Al-Debei, M. M., Akroush, M. N., and Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, vol. 25, no 5, pp. 707–733,


[3] Anckar, B. and Walden, P. (2002). Self-booking of high- and low-complexity travel products: Exploratory findings. Information Technology & Tourism, vol. 4, no. 3–4, pp. 151 165.


[4] Billon, M., Lera-Lopez, F., and Marco, R. (2016). ICT use by households and firms in the EU: Links and determinants from a multivariate perspective. Review of World Economics, vol. 52, pp. 629–654.


[5] Burke, R. R. (1997). Do you see what I see? The future of virtual shopping. Journal of the Academy of Marketing Science, vol. 25, no. 4, pp. 352–360.


[6] Çelik, H. E. and Yilmaz, V. (2011). Extending the technology acceptance model for adoption of e-shopping by consumers in Turkey. Journal of Electronic Commerce Research, vol. 12, no. 2, pp. 152–164.


[7] Cowles D. L., Kiecker P., and Little M. W. (2002). Using key informant insights as a foundation for e-tailing theory development. Journal of Business Research, vol. 55, no. 8, pp. 629–636.


[8] Davis, F. D. (1993). User acceptance of Information Technology: System characteristics, user perceptions and behavioral impact. International Journal of Man-Machine Studies, vol. 38, pp. 475–487.


[9] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, vol. 13, no. 3, pp. 319–340.


[10] Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, vol. 35, no. 8, pp. 982–1003.


[11] Dekimpe, M. G., Parker, Ph. M., and Sarvary, M. (2000). Globalization: Modeling technology adoption timing across countries. Technological Forecasting and Social Change, vol. 63, pp. 25–42.


[12] Dekimpe, M. G., Parker, Ph. M., and Sarvary, M. (1998). Staged estimation of international diffusion models. Technological Forecasting and Social Change, vol. 57, pp. 105–132.


[13] Donthu, N. and Garcia, A. (1999). The internet shopper. Journal of Advertising Research, vol. 39, no. 3, pp. 52–58.


[14] Farag, S., Weltevreden, J., van Rietbergen, T., et al. (2006). E-shopping in the Netherlands: Does geography matter? Environment and Planning B: Planning and Design, vol. 33, pp. 59–74.


[15] Ha, S. and Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, vol. 62, no. 5, pp. 565– 571.


[16] Hart, C., Doherty, N., and Ellis‐Chadwick, F. (2000). Retailer adoption of the Internet – Implications for retail marketing. European Journal of Marketing, vol. 34, no. 8, pp. 954–974.


[17] Huang, C. Y. (2012). Excess loyalty in online retailing. International Journal of Electronic Commerce, vol. 16, no. 2, pp. 115–133.


[18] Johnson, E. J. and Payne, J. W. (1985). Effort and accuracy in choice. Management Science, vol. 31, pp. 394–414.


[19] Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, vol. 35, no. 9, pp. 703–719.


[20] Kangis, P. and Rankin, K. (1996). Interactive services: How to identify and target the new markets. Journal of Marketing Practice: Applied Marketing Science, vol. 2, no. 3, pp. 44–67.


[21] Lopes, A. B. and Galletta, D. F. (2006). Consumer perceptions and willingness to pay for intrinsically motivated online content. Journal of Management Information Systems, vol. 23, no. 2, pp. 203–231.


[22] Pick, J. and Nishida, T. (2015). Digital divides in the world and its regions: A spatial and multivariate analysis of technological utilization. Technological Forecasting and Social Change, vol. 91, pp. 1–17.


[23] Saeed, K. A., Grover, V., and Hwang, Y. (2005). The relationship of e-commerce competence to customer value and firm performance: An empirical investigation. Journal of Management Information Systems, vol. 22, no. 1, pp. 223–256.


[24] Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, vol. 69, pp. 99–118.


[25] Srinivasan, S. S., Anderson, R., and Ponnavolu, K. (2002). Customer loyalty in ecommerce: An exploration of its antecedents and consequences. Journal of Retailing, vol. 78, no. 1, pp. 41–50.


[26] Swaminathan, V., Lepkowska-White, E., and Rao, B. P. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. Journal of Computer-Mediated Communication, vol. 5, no. 2.


[27] Thomson, E. S. and Laing, W. A. (2003). The net generation: Children and young people, the internet and online shopping. Journal of Marketing Management, vol. 19, no. 3–4, pp. 491–512.


[28] Venkatesh, V. and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, vol. 46, no. 2, pp. 186–204.


[29] Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, vol. 25, no.2, pp. 139–153.


[30] Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A meansend model and synthesis of evidence. Journal of Marketing, vol. 52, no. 3, pp. 2–22.


[31] Zeithaml, V. A. (2002). Service excellence in electronic channels. Managing Service Quality, vol. 12, no. 3, pp. 135–138.

Download
HTML
Cite
Share
statistics

338 Abstract Views

272 PDF Downloads