A Study on the Usage of Arabic E-Commerce Websites Services among Uae Citizens
Downloads
As an e-commerce domain, online shopping is now in its golden era. It is now a potential contributor in e-commerce. E-commerce success has been documented by numerous countries and it contributed to these countries’ economic growth. The UAE is witnessing growth of e-commerce at a yearly rate exceeding 20%. In this region, the majority of the population (>80%) use Internet. Within this portion, 15% do online shopping and approximately 10% use mobile devices for shopping online. 250 respondents in the United Arab Emirates were selected in this study and data were gathered from online questionnaires. In short, the predictive model demonstrates 60.1% of the variance in behavioral intention (BI). This is directly clarified by performance expectancy, effort expectancy, social influence, cost, awareness. Also, the model represents 54.2% of the variance in Use Behavior. This is directly clarified by behavioral intention and Facilitating Conditions. As such, it is expected that the increase in online Arab websites will shift the online purchasing intentions of the customer to the local Arab websites. This will enhance the Arab countries’ microeconomics. Online shopping or e-commerce adoption differs based on countries because of different affecting factors. Thus, factors that affect, inhibit, and encourage e-commerce that are unique to each country should be considered in order to increase online shopping.
Alhassan, K. A. (2009). Consumer Confidence in E-commerce: The Need for Reform in the UAE (Doctoral dissertation, University of Aberdeen).
Al-Smadi, S. (2013). Consumers Attitudes towards Online Shopping in Jordan: Opportunities and Challenges.
Anil, S., Ting, L. T., Moe, L. H., & Jonathan, G. P. G. (2003). Overcoming barriers to the successful adoption of mobile commerce in Singapore. International Journal of Mobile Communications, 1(1), 194-231.
Carlsson, C., Walden, P., & Bouwman, H. (2006). Adoption of 3G services in Finland. International Journal of Mobile Communications, 4(4), 369-385.
Constantinides, E. (2002). The 4S web-marketing mix model. Electronic Commerce Research and Applications, 1(1), 57-76.
Darby,R.,Jones,J.,& Al Madani, G. (2003). E-commerce marketing: fad or fiction? Management competency in mastering emerging technology. An international case analysis in the UAE. Logistics Information Management, 16(2), 106-113.
Faqih, K. 2011. Integrating perceived risk and trust with technology acceptance model: An empirical assessment of customers' acceptance of online shopping in Jordan. Research and Innovation in Information Systems (ICRIIS), 2011.
Hasan,L.,Morris, A., & Probets, S. (2012). A comparison of usability evaluation methods for evaluating e-commerce websites. Behaviour & Information Technology , 31 (7), 707-737.
Hong, S. J., Thong, J. Y., Moon, J. Y., & Tam, K. Y. (2008). Understanding the behaviour of mobile data services consumers. Information Systems Frontiers, 10(4), 431-445.
International Conference on, hlm. 1-5.
Kalakota, R. and Whinston, A. B. 1997. Readings in electronic commerce. Ed. Addison-Wesley Longman Publishing Co., Inc.
Kotler, P., Keller, K. L., Ancarani, F., & Costabile, M. (2014). Marketing management 14/e. Pearson.
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Megdadi, Y. A. and Nusair, T. T. 2011. Shopping consumer attitudes toward mobile marketing: a case study among Jordanian user's. International Journal of Marketing Studies 3(2): 53.
Nuseir, M. T., Arora, N., Al-Masri, M. M., & Gharaibeh, M. (2010). Evidence of Online Shopping: A Consumer Perspective. International Review of Business Research Papers, 6(5), 90-106.
Rambo, K., & Liu, K. (2010). Culture-Sensitive Virtual E-Commerce Design with Reference to Female Consumers in Saudi Arabia. Virtual Worlds and E-Commerce:Technologies and Applications for Building Customer Relationships: Technologies and Applications for Building Customer Relationships, 267.
Sathye, M. (1999). Adoption of internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing, 17(7), 324-334.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Wei, T. T., Marthandan, G., Chong, A. Y. L., Ooi, K. B., & Arumugam, S. (2009). What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370-388.
Wind, M. G. (1977). Consumer response to price: An attitudinal, information processing perspective (Moving Ahead with Attitude Research ed.). Chicago: American Marketing Association.
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?:: An empirical evaluation of the revised technology acceptance model. Information & Management,42(5),719-729
