Internet Adoption at the User Level: Empirical Evidence from The Gambia

References

• Abubakar, F. M., & Ahmed, H. B. (2013). The moderating effect of technology awareness on the relationship between UTAUT constructs and behavioral intention to use technology: A conceptual paper. Australian Journal of Business and Management Research, 3, 14–23.
   Google Scholar
• Anderson, P. A. (1983). Decision making by objection and the Cuban missile crisis. Administrative Science Quarterly 28, 201–222. doi: 10.2307/2392618
   Web of Science ®Google Scholar
• Avgerou, C. (2010). Discourses on ICT and development. Information Technologies and International Development, 6(3), 1–18. doi: 10.4018/jiit.2010070101
   Google Scholar
• Avila, A. (2009). Underdeveloped ICT areas in Sub-Saharan Africa. Informatics Economica, 13, 136–146.
   Google Scholar
• Baliamoune-Lutz, M. (2003). An analysis of the determinants and effects of ICT diffusion in developing countries. Information Technology for Development, 12, 151–169. doi: 10.1002/itdj.1590100303
   Google Scholar
• Bankole, F. O., Bankole, O. O., & Brown, I. (2011). Mobile banking adoption in Nigeria. The Electronic Journal of Information Systems in Developing Countries, 47(2), 1–23.
   Google Scholar
• Brown, I. T. J. (2002). Individual and technological factors affecting perceived ease of use of web-based learning technologies in a developing country. The Electronic Journal of Information Systems in Developing Countries, 9(5), 1–15.
   Google Scholar
• Brown, I., Letsididi, B., & Nazeer, M. (2009). Internet access in South African homes: A preliminary study on factors influencing consumer choice. The Electronic Journal of Information Systems in Developing Countries, 38(2), 1–13.
   Google Scholar
• Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household lifecycle. MIS Quarterly, 29, 399–426.
   Web of Science ®Google Scholar
• Bwalya, K. J. (2009). Factors affecting adoption of e-Government in Zambia. The Electronic Journal of Information Systems in Developing Countries, 38(4), 1–13.
   Google Scholar
• Chigona, A., Chigona, W., Kayongo, P., & Kausa, M. (2010). An empirical survey on domestication of ICT in schools in disadvantaged communities in South Africa. International Journal of Education and Development using ICT (IJEDICT), 6, 21–32.
   Google Scholar
• Choudrie, J., & Dwivedi, Y. K. (2004). Analyzing the factors of broadband adoption in the household. Retrieved from http://www.csrc.lse.ac.uk/asp/aspecis/20040034.pdf.
   Google Scholar
• Colesca, S. E., & Liliana, D. (2009). E-government adoption in Romania. International Journal of Human and Social Sciences, 4, 1040–1044.
   Google Scholar
• Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development: Linking adoption, impact, and use. Asian Journal of Communication, 18, 318–332. doi: 10.1080/01292980802344190
   Web of Science ®Google Scholar
• Eisenhardt, K. M. (1989). Building theories from case study research. The Academy of Management Review, 14, 532–550.
   Web of Science ®Google Scholar
• Ford, D. M. (2007). Technologizing Africa: On the bumpy information highway. Computers and Composition, 24, 302–306. Retrieved from www.sciencedirect.com doi: 10.1016/j.compcom.2007.05.005
   Google Scholar
• Foster, W., & Goodman, S. E. (2000). The diffusion of internet in China. Retrieved from http://www.fosterandbrahm.com/docs/chinainternet.pdf
   Google Scholar
• Gallivan, M. J. (2001). Organizational adoption and assimilation of complex technological innovations: Development and application of new framework. The DATA BASE for Advances in Information Systems, 32, 51–85. doi: 10.1145/506724.506729
   Google Scholar
• Haddon, L. (2006). The contribution of domestication research in in-home computing and media consumption. The Information Society, 22, 195–203. doi: 10.1080/01972240600791325
   Web of Science ®Google Scholar
• International Monetary Fund (2012). The Gambia 2011 Article IV consultation (IMF Country Report No. 12/17), Washington, DC.
   Google Scholar
• International Telecommunication Union (2013). ICT facts and figures. Retrieved from www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2013.pdf
   Google Scholar
• Ismail, A. (2011). Diffusion of telecommunications services in a complex socio-economic context: A comparative diffusion analysis of the fixed line, mobile and internet services in Pakistan, DTU Management Engineering, Department of Management Engineering, Technical University of Denmark. Retrieved from http://www.orbit.dtu.dk/fedora/objects/orbit:89283/datastreams/file_6308147/content
   Google Scholar
• Kaba, B., Diallo, A., Plaisent, M., Bernard, P., & N'da, K. (2006). Explaining the factors influencing cellular phone use in Guinea. The Electronic Journal of Information Systems in Developing Countries, 28(3), 1–7.
   Google Scholar
• Kenny, C. J. (2006). Expanding internet access to the rural poor in Africa. Information Technology for Development, 9, 25–31. doi: 10.1080/02681102.2000.9525318
   Google Scholar
• Kivi, A. (2011). Diffusion of mobile internet services (Doctoral dissertation), Aalto University publication, ISBN 978–952–60–4303–6.
   Google Scholar
• LaRose, R., Gregg, J. L., Strover, S., Straubhaar, J., & Carpenter, S. (2007). Closing the rural broadband gap: Promoting adoption of the internet in rural America. Telecommunications Policy, 31, 359–373. doi: 10.1016/j.telpol.2007.04.004
   Web of Science ®Google Scholar
• Leahy, K. B., & Yermis, I. V. (2003). Information and communication technology: Gender issues in developing nations. Informing Science Journal, 6, 143–155.
   Google Scholar
• Mofleh, S., Wanous, M., & Strachan, P. (2008). Developing countries and ICT initiatives: Lessons learnt from Jordan's experience. The Electronic Journal Information of Systems Evaluation, 34(5), 1–17.
   Google Scholar
• Musa, P. F. (2006). Making a case for modifying the TAM to account for limited accessibility in developing countries. Information Technology for Development, 12, 213–224. doi: 10.1002/itdj.20043
   Google Scholar
• Musa, P., Meso, P., & Mbarika, V. (2005). Towards sustainable adoption of technologies for human development in Sub-Saharan Africa: Precursors, diagnostics and prescriptions. Communications of Association for Information Systems, 15, 592–608.
   Google Scholar
• Obijiofor, L. (2009). Mapping theoretical and practical issues in the relationship between ICTs and Africa's socioeconomic development. Telematics and Informatics, 26, 32–43. Retrieved from www.sciencedirect.com doi: 10.1016/j.tele.2007.12.002
   Google Scholar
• Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal of Information Systems Evaluation, 14, 110–121.
   Google Scholar
• Oyelaran-Oyeyinka, B., & Adeya, C. N. (2004). Internet access in Africa: Empirical evidence from Kenya and Nigeria, Telematics and Informatics, 21, 67–81. Retrieved from www.ElsevierComputerScience.com doi: 10.1016/S0736-5853(03)00023-6
   Google Scholar
• Pan, Z., Yan, W., Jing, G., & Zheng, J. (2011). Exploring structured inequality in Internet use behavior. Asian Journal of Communication, 21, 116–132. doi: 10.1080/01292986.2010.543555
   Web of Science ®Google Scholar
• Pedersen, P. E. (2005). Adoption of mobile internet services: An exploratory study of mobile commerce early adopters. Journal of Organization Computing and Electronic Commerce, 15, 203–222. doi: 10.1207/s15327744joce1503_2
   Web of Science ®Google Scholar
• Pedersen, P. E., & Ling, R. (2003). Modifying adoption research for mobile Internet service adoption: Cross-disciplinary interactions. Proceedings of the 36th Hawaii International Conference on System Sciences. Washington, DC: IEEE Computer Society. Retrieved from http://www.hicss.hawaii.edu/HICSS36/HICSSpapers/DTMCC05.pdf
   Google Scholar
• Pinfield, L. (1986). A field evaluation of perspectives on organizational decision making. Administrative Science Quarterly, 31, 365–388. doi: 10.2307/2392828
   Web of Science ®Google Scholar
• Raji, M. O., Ayoade, O. B., & Usoro, A. (2006). The prospects and problems of adopting ICT for poverty eradication in Nigeria. The Electronic Journal of Information Systems in Developing Countries, 28(8), 1–9.
   Google Scholar
• Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research, 2, 61–73.
   Google Scholar
• Runeson, P., & Höst, M. (2009). Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engingeering, 14, 131–164. Retrieved from www.Springerlink.com doi: 10.1007/s10664-008-9102-8
   Web of Science ®Google Scholar
• Sahey, S., & Avgerou, C. (2002a). Special issue: ICTs in developing countries liberalization and the computer industry: A comparison of four developing countries. The Information Society, 18, 2. Retrieved from www.indiana.edu
   Google Scholar
• Sahey, S., & Avgerou, C. (2002b). Introducing the special Issue on information and communication technologies in developing countries. The Information Society, 18, 73–76. doi:10.1080/01972240290075002
   Web of Science ®Google Scholar
• Salman, A., & Hasim, M. S. (2011). Internet usage in a Malaysian sub-urban community: A study of diffusion of ICT innovation. The Innovation Journal: The Public Sector Innovation Journal, 16 (2), 1–15.
   PubMedGoogle Scholar
• Tellis, W. (1997). Introduction to case study (Qualitative Report, 3, 2). Retrieved from http://www.nova.edu/ssss/QR/QR3–2/tellis1.html
   Google Scholar
• Thapa, D. (2011). The role of ICT actors and networks in development: The case study of a wireless project in Nepal. Electronic Journal of Information Systems in Developing Countries, 49(1), 1–16.
   Google Scholar
• Theodoropoulou, P. V. (2012). The introduction of digital television in the UK: A study of its early audience (PhD thesis submitted to the Department of Media and Communications, London School of Economics, London). Retrieved from http://etheses.lse.ac.uk/349/1/Theodoropoulou_The%20Introduction%20of%20Digital%20Television%20in%20the%20UK.pdf
   Google Scholar
• Touray, A., Salminen, A., & Mursu, A. (2013). ICT barriers and critical success factors in developing countries. The Electronic Journal of Information Systems in Developing Countries, 56(7), 1–17.
   Google Scholar
• US Census Bureau (2012). The United States Census Bureau. Retrieved from http://www.census.gov/compendia/statab/2012/tables/12s1392.pdf
   Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157–178.
   Web of Science ®Google Scholar
• Wahid, F. (2007). Using the technology adoption model to analyze Internet adoption and usage among men and women in Indonesia. Electronic Journal of Information Systems in Developing Countries, 32(6), 1–8.
   Google Scholar
• World Internet Statistics Website (2012). Retrieved from http://www.internetworldstats.com
   Google Scholar
• Wu, Y., Tao, Y., & Yang, P. (2008). The use of unified theory of acceptance and use of technology to confer the behavioral model of 3G mobile telecommunication users. Journal of Statistics & Management Systems, 11, 919–949. doi: 10.1080/09720510.2008.10701351
   Google Scholar
• Yin, R. K. (1984). Case Study Research: Design and Methods. Beverly Hills, CA: Sage Publications.
   Google Scholar