DETERMINANTS OF INTENTION TO USE GOVERNMENT WEB SITES IN KYRGYZ REPUBLIC

Yıl 2018, Cilt: 10 Sayı: 2, 30 - 45, 01.06.2018

Rita Ismailova Gulshat Muhametjanova

Öz

The use of internet technologies by governments increases day by day. Since citizens are the active users of the services, provided by governments via Internet, the goal of this study is to determine the factors that influence intention to use government e-services in the Kyrgyz Republic. In this study, effects of use intentions, perceived usefulness and perceived ease of use, defined by Technology Acceptance Model (TAM), Relative Advantage, Compatibility and Image, defined by Diffusion of Innovation Model (DOI) and Trustworthiness Model were examined. In addition, for the research model, the relevant constructs from Unified Theory of Acceptance and Use of Technology (UTAUT) were combined. In the research, we used a qualitative analysis utilizing questionnaires among citizens of Bishkek city, the capital of the Kyrgyz Republic.The results showed that in case of the Kyrgyz Republic, of all factors, including demographic profiles, perceived ease of use of e-services and compatibility of using web technologies with citizens’ lifestyle are the main factors influencing their intention to use government e-services.

Anahtar Kelimeler

e-government, Technology Acceptance Model, Diffusion of Innovation Model, Unified Theory of Acceptance and Use of Technology, Trustworthiness Model, Kyrgyz Republic

Kaynakça

• AbuShanab, E., & Pearson, J. M. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and information Technology, 9(1), 78-97.
• Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory.
• Alomari, M., Woods, P., & Sandhu, K. (2012). Predictors for e-government adoption in Jordan: Deployment of an empirical evaluation based on a citizen-centric approach. Information Technology & People, 25(2), 207-234.
• Bannister, F., & Connolly, R. (2011). Trust and transformational government: A proposed framework for research. Government Information Quarterly, 28(2), 137-147.
• Beatty, P., Reay, I., Dick, S., & Miller, J. (2011). Consumer trust in e-commerce web sites: A meta-study. ACM Computing Surveys (CSUR), 43(3), 14.
• Bélanger, F., & Carter, L. (2008). Trust and risk in e-government adoption. The Journal of Strategic Information Systems, 17(2), 165-176.
• Bennett, J., & Bennett, L. (2003). A review of factors that influence the diffusion of innovation when structuring a faculty training program. The Internet and Higher Education, 6(1), 53-63.
• Borrego, M., Froyd, J. E., & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness and adoption rates in US engineering departments. Journal of Engineering Education, 99(3), 185-207.
• Bröhl, C., Nelles, J., Brandl, C., Mertens, A., & Schlick, C. M. (2016, July). TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems. In International Conference on Human-Computer Interaction (pp. 97-103). Springer International Publishing.
• Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: citizen trust, innovation and acceptance factors. Information systems journal, 15(1), 5-25.
• Colesca, S. E. (2015). Understanding trust in e-government. Engineering Economics, 63(4).
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
• Dimitrova, D. V., & Chen, Y. C. (2006). Profiling the adopters of E-government information and services the influence of psychological characteristics, civic mindedness, and information channels. Social Science Computer Review, 24(2), 172-188.
• Gordon, N. P., & Hornbrook, M. C. (2016). Differences in access to and preferences for using patient portals and other eHealth technologies based on race, ethnicity, and age: a database and survey study of seniors in a large health plan. Journal of medical Internet research, 18(3).
• Henriksson, A., Yi, Y., Frost, B., & Middleton, M. (2007). Evaluation instrument for e-government websites. Electronic Government, an International Journal, 4(2), 204-226.
• Hoffman, D. L., Novak, T. P., & Schlosser, A. (2000). The evolution of the digital divide: How gaps in Internet access may impact electronic commerce. Journal of Computer‐Mediated Communication, 5(3), 0-0.
• Hussein, R., Mohamed, N., Rahman Ahlan, A., & Mahmud, M. (2011). E-government application: an integrated model on G2C adoption of online tax. Transforming Government: People, Process and Policy, 5(3), 225-248.
• Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information systems research, 13(2), 205-223.
• Lee, J., Kim, H. J., & Ahn, M. J. (2011). The willingness of e-Government service adoption by business users: The role of offline service quality and trust in technology. Government Information Quarterly, 28(2), 222-230.
• 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.
• McClure, D. L. (2000). Statement of David L. McClure, US general accounting office, before the subcommittee on Government management, information and technology, committee on Government reform, House of Representatives. Committee on Government Reform.
• Muhametjanova, G., & Cagiltay, K. (2016). Integrating Technology Into Instruction At A Public University In Kyrgyzstan: Barriers And Enablers. Eurasia Journal of Mathematics, Science & Technology Education, 12(10).
• Mustonen‐Ollila, E., & Lyytinen, K. (2003). Why organizations adopt information system process innovations: a longitudinal study using Diffusion of Innovation theory. Information Systems Journal, 13(3), 275-297.
• Nakamura, L. (2013). Cybertypes: Race, ethnicity, and identity on the Internet. Routledge.
• Oshlyansky, L., Cairns, P., & Thimbleby, H. (2007, September). Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) tool cross-culturally. In Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI... but not as we know it-Volume 2 (pp. 83-86). British Computer Society.
• Palvia, S. C. J., & Sharma, S. S. (2007). E-government and e-governance: definitions/domain framework and status around the world. In International Conference on E-governance.
• Park, C., & Jun, J. K. (2003). A cross-cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534-553.
• Phang, C. W., Li, Y., Sutanto, J., & Kankanhalli, A. (2005, January). Senior citizens' adoption of E-government: In quest of the antecedents of perceived usefulness. In Proceedings of the 38th annual Hawaii international conference on system sciences (pp. 130a-130a). IEEE.
• Rehman, M., Kamal, M. M., & Esichaikul, V. (2016). Adoption of e-Government Services in Pakistan: A Comparative Study between Online and Offline Users. Information Systems Management, 33:3, 248-267, DOI: 10.1080/10580530.2016.1188570.
• Rogers, E. M. (2003). Diffusion of innovation. New York, NY: The Free Press.
• Tung, L. L., & Rieck, O. (2005). Adoption of electronic government services among business organizations in Singapore. The Journal of Strategic Information Systems, 14(4), 417-440.
• United Nations (2003), "UN global E-government Survey 2003," (Online), United Nations Division for Public Administration and Development Management, (Retrieved 5/25/2015) http://unpan1.un.org/intradoc/groups/public/documents/un/unpan016066.pdf
• United Nations (2016). “UN E-government Survey 2016 – E-Government in Support Of Sustainable Development “, (Online), (Retrieved 12/16/2016), http://workspace.unpan.org/sites/Internet/Documents/UNPAN96407.pdf
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
• Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of Global Information Technology Management, 13(1), 5-27.
• 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.
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.
• Verdegem, P., & Verleye, G. (2009). User-centered E-Government in practice: A comprehensive model for measuring user satisfaction. Government information quarterly, 26(3), 487-497.
• Wang, Y. S., & Shih, Y. W. (2009). Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly, 26(1), 158-165.
• Wangpipatwong, S., Chutimaskul, W., & Papasratorn, B. (2008). Understanding citizen’s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. The electronic journal of e-government, 6(1), 55-64.
• Xiaoming, H., & Kay, C. (2004). Factors affecting internet development: an Asian survey. First Monday, 9(2).