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Exploring Consumers’ Propensity for Online Shopping in a Developing Country:A Demographic Perspective


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1 Tomas Bata University in Zlín, Mostní 5139, 760 01, Czech Republic
 

The advent of the Internet continues to open new frontiers in digital marketing. One visible impact of the Internet in marketing has been the growing increase in online transactions which profits marketers and seemingly satisfies customers. However,in developing countries, the potential of online shopping has not been fully explored, and in some cases, are just non- existent. Lack of online infrastructure has often been attributed to the slower growth in online transactions in Africa, however, the customers’ preparedness and inclination to use the service is ignored. .Against this backdrop, this study seeks to analyze consumers’ propensity to engage in online transactions with a focus on demographic attributes such as age, gender and education. Using customers in Ghana as a case study, key reasons as well as the demographics that fancy online transactions are revealed. The results indicate that delivery problems, poor internet connection, privacy and security issues are some of the reasons preventing customers to shop online.

Keywords

E-Commerce, On-Line Shopping, Consumer Buying Behavior, Ghana.
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  • Addinsoft (2014). XLSTAT 2014, Data analysis and statistics with Microsoft Excel, Paris, France

  • Akhter, S.H., 2012. Who spends more online? The influence of time, usage variety, and privacy concern on online spending. Journal of Retailing and Consumer Services, 19(1), pp.109-115.

  • Alturkestani, H. (2004). E-marketing application on Saudi business sector. E-ommerce Symposium, 1, King Khaled University, Abha, Kingdom of Saudi Arabia, 257-265 Beldona, S., Racherla, P. and Mundhra, G.D., 2011. To buy or not to buy: Indian consumers' choice of online versus offline channels for air travel purchase. Journal of Hospitality Marketing & Management, 20(8), pp.831-854.

  • Bouzaabia, O., Bouzaabia, R. and Capatina, A., 2016. Determinants of Internet Use by Senior Generation: A Cross Cultural Study. International Journal of Technology and Human Interaction (IJTHI), 12(1), pp.63-82.

  • Brashear, T.G., Kashyap, V., Musante, M.D. and Donthu, N., 2009. A profile of the Internet shopper: Evidence from six countries. Journal of Marketing Theory and Practice, 17(3), pp.267-282.

  • Burke, R.R., 2002. Technology and the customer interface: what consumers want in the physical and virtual store. Journal of the academy of Marketing Science, 30(4), pp.411-432.

  • Chakraborty, R., Lee, J., Bagchi-Sen, S., Upadhyaya, S. and Rao, H.R., 2016. Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults. Decision Support Systems.

  • Chakraborty, R., Lee, J., Bagchi-Sen, S., Upadhyaya, S. and Rao, H.R., 2016. Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults. Decision Support Systems.com/news/Online Shopping.shtml

  • Desai, K., Chewning, B. and Mott, D., 2015. Health care use amongst online buyers of medications and vitamins. Research in Social and Administrative Pharmacy, 11(6), pp.844-858.

  • Domina, T., Lee, S.E. and MacGillivray, M., 2012. Understanding factors affecting consumer intention to shop in a virtual world. Journal of retailing and consumer services, 19(6), pp.613-620.

  • Donthu, N. and Garcia, A., 1999. The internet shopper. Journal of advertising research, 39(3), pp.52-52.

  • Doolin, B., Dillons, S., Thompson, F. and Corner, J.L., 2007. Perceived risk, the Internet shopping experience and online purchasing behavior: A New Zealand perspective. Electronic commerce: Concepts, methodologies, tools, and applications, pp.324-345.

  • Fang, X. and Yen, D.C., 2006. Demographics and behavior of Internet users in China. Technology in Society, 28(3), pp.363-387.

  • Garbarino, E. and Strahilevitz, M., 2004. Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57(7), pp.768-775.

  • Hansen, T., 2005. Understanding consumer online grocery behavior: Results from a Swedish study. Journal of Euromarketing, 14(3), pp.31-58.

  • Hart, M., 2008, October. Do online buying behaviour and attitudes to web personalization vary by age group?. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology (pp. 86-93). ACM.

  • Hou, J. and Elliott, K., 2014. How do online bidders differ from non-bidders?. Journal of Retailing and Consumer Services, 21(1), pp.18-25.

  • Internet Shoppers up 40% in Two Years. Retrieved September 15, 2012 from http://nz.nielsen.

  • Kumar, A. and Dash, M.K., 2015. Effectiveness of electronic service dimensions on consumers’ electronic buying behaviour and exploration of different groups. International Journal of Business Innovation and Research, 9(1), pp.81-99.

  • Li, N. and Zhang, P., 2002. Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 Proceedings, p.74.

  • Li, X., 2007. Agent-based consumer learning in e-commerce. International journal of networking and virtual organisations, 4(1), pp.65-75.

  • Lian, J.W. and Lin, T.M., 2008. Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior, 24(1), pp.48-65.

  • Lian, J.W. and Yen, D.C., 2014. Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, pp.133-143.

  • Liu, H., Sadygov, R.G. and Yates, J.R., 2004. A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Analytical chemistry, 76(14), pp.4193-4201.

  • Maceviciute, E., 2007. Review of: Pickard, Alison Jane. Research methods in information London: Facet Publishing, 2007.

  • Mohd Suki, N., Ramayah, T. and Mohd Suki, N., 2008. Internet shopping acceptance: Examining the influence of intrinsic versus extrinsic motivations. Direct Marketing: An International Journal, 2(2), pp.97-110.

  • Nabareseh, S., Osakwe, C.N., Klímek, P. and Chovancová, M., 2014. A comparative study of consumers’ readiness for internet shopping in two African emerging economies: Some preliminary findings. Mediterranean Journal of Social Sciences.

  • Niu, H.J. and Chang, C.T., 2014. Addiction in cyberspace: flow experience on e-shopping. International Journal of Web Based Communities, 10(1), pp.52-68.

  • Panzone, L., Hilton, D., Sale, L. and Cohen, D., 2016. Socio-demographics, implicit attitudes, explicit attitudes, and sustainable consumption in supermarket shopping. Journal of Economic Psychology.

  • Quarshie, H.O. and Ami-Narh, J., 2012. The growth and usage of Internet in Ghana. Journal of Emerging Trends in Computing and Information Sciences, 3(9), pp.1302-1308.

  • Quelch, J.A. and Klein, L.R., 1996. The Internet and international marketing. MIT Sloan Management Review, 37(3), p.60.

  • Richard, M.O., Chebat, J.C., Yang, Z. and Putrevu, S., 2010. A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9), pp.926-934.

  • Rigas, D. and Riaz, N., 2015. E-Commerce Purchase Intention in Emerging Markets: The Influence of Gender and Culture. In Cross-Cultural Design Applications in Mobile Interaction, Education, Health, Transport and Cultural Heritage (pp. 90-100). Springer International Publishing.

  • Román, S. and Riquelme, I.P., 2014. Personal Determinants Of Online Shopping Frustration And Its Influence On Consumers'positive Word Of Mouth. Journal of Electronic Commerce Research, 15(2), p.87.

  • Rose, S. and Dhandayudham, A., 2014. Towards an understanding of Internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors. Journal of behavioral addictions, 3(2), pp.83-89.

  • Sakalauskas, D.P. and Ibeh, K.I., 2005. Internet marketing and the realty sector: some cross-national insights from Canada and the UK. Journal of Euromarketing, 14(4), pp.53-76.

  • Saleh, M.A.H., Assessing the Consumers’ Propensity for Online Shopping: A Demographic Perspective.

  • San Martín, S. and Jiménez, N.H., 2011. Online buying perceptions in Spain: can gender make a difference?. Electronic Markets, 21(4), pp.267-281.

  • Sharma, S. and Sitlani, M., 2013. Online Shopping Among Higher Education Students In Indore: A Factor Analysis Approach. Indian Journal of Marketing, 43(1), pp.44-53.

  • Shim, S. and Mahoney, M.Y., 1991. Electronic shoppers and nonshoppers among videotex users: Shopping orientations, videotex usages, and demographics. Journal of Direct Marketing, 5(3), pp.29-38.

  • Shuyang, C., Meng, S. and Haotong, L., 2014, October. The comparative study between China and South Korea on online shopping. In Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on (pp. 16-19). IEEE.

  • Soopramanien, D.G. and Robertson, A., 2007. Adoption and usage of online shopping: An empirical analysis of the characteristics of “buyers”“browsers” and “non-internet shoppers”. Journal of Retailing and Consumer Services, 14(1), pp.73-82.

  • Swinyard, W.R. and Smith, S.M., 2003. Why people (don't) shop online: A lifestyle study of the internet consumer. Psychology & marketing, 20(7), pp.567-597.

  • The Nielsen Company. (2015) Over 875 Million Consumers have Shopped Online - the Number of Village, S.K., No, P. and Park, R.G.I., 2015. A Study on user perception and awareness Related to online privacy during online Shopping. Journal of Theoretical and Applied Information Technology, 77(3).

  • Xue-wu, S., Gui-hua, N. and Ling, S., 2006. Gender-based differences in the effect of web advertising in e-business. In 2006 International Conference on Management Science and Engineering.


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  • Exploring Consumers’ Propensity for Online Shopping in a Developing Country:A Demographic Perspective

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Authors

Michael Adu Kwarteng
Tomas Bata University in Zlín, Mostní 5139, 760 01, Czech Republic
Michal Pilík
Tomas Bata University in Zlín, Mostní 5139, 760 01, Czech Republic

Abstract


The advent of the Internet continues to open new frontiers in digital marketing. One visible impact of the Internet in marketing has been the growing increase in online transactions which profits marketers and seemingly satisfies customers. However,in developing countries, the potential of online shopping has not been fully explored, and in some cases, are just non- existent. Lack of online infrastructure has often been attributed to the slower growth in online transactions in Africa, however, the customers’ preparedness and inclination to use the service is ignored. .Against this backdrop, this study seeks to analyze consumers’ propensity to engage in online transactions with a focus on demographic attributes such as age, gender and education. Using customers in Ghana as a case study, key reasons as well as the demographics that fancy online transactions are revealed. The results indicate that delivery problems, poor internet connection, privacy and security issues are some of the reasons preventing customers to shop online.

Keywords


E-Commerce, On-Line Shopping, Consumer Buying Behavior, Ghana.

References





DOI: https://doi.org/10.15759/ijek%2F2016%2Fv4i1%2F190290