Pointers for Designing Context-Aware e-Government Strategy in Zambia: Context, Issues, and Opportunities
Successful implementation of any e-government interventions or programs is hinged on having a carefully thought strategy which is informed by the local context. It cannot be overemphasized that every contextual setting has unique inherent contextual characteristics, which demand that any e-government interventions be designed bearing those characteristics in mind. In order to understand the contextual characteristics in Zambia, a quantitative research approach is utilized, where methodological triangulation is employed at all stages of the research cycle. The endpoint of this empirical research is that inherent factors that influence adoption of e-government mostly at individual (citizen’s and bussinesses’) levels are understood. The only major limitation of this research is that the sample (408 participants) may not be representative of the 14 million people in Zambia and therefore may not guarantee statistical generalizations. The chapter posits that there is chance that affluent e-Government development can be achieved in Zambia once a context-aware e-Government strategy/roadmap is put in place and followed.
Keywordse-Government Strategy Design Context-aware
- Ajzen, I. (1991). The theory of planned behaviour. Organisational Behaviour and Human Decision Processes, 50(2), 179–211.Google Scholar
- Bwalya, K. J., & Healy, M. (2010). Harnessing e-Government adoption in the SADC region: A conceptual underpinning. Electronic Journal of e-Government, 8(1), 23–32.Google Scholar
- Bwalya, K. J., Du Plessis, T., & Rensleigh, C. (2011). Setting the foundation for e-Democracy in Botswana: An exploratory study of interventions. In R. Cropf & W. S. Krummenacher (Eds.), Information communication technologies and the virtual public sphere: Impacts of network structures (pp. 229–241). New York: Information Science Reference.CrossRefGoogle Scholar
- Coates, N., & Nikolaus, L. (2010). Zambia and e-Government: An Assessment and Recommendations. In E-Agriculture and E-Government for Global Policy Development: Implications and Future Directions. Maumbe, B. (Ed.). 137–161.Google Scholar
- Cooper, R. D., & Schindler, S. P. (2001). Business Research Methods (7th ed.). New York: McGraw-Hill.Google Scholar
- Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task technology fit constructs, Information & Management, 36, 9–21.Google Scholar
- Habeenzu, S. (2010). Zambia ICT Sector Performance Review 2009/2010: Towards Evidence-based ICT Policy and Regulation, 2, Policy Paper 17/2010. Retrieved November 3, 2011, from http://www.researchictafrica.net/publications/ICT_Sector_Performance_Reviews_2010/Vol%202%20Paper%2017%20-%20Zambia%20ICT%20Sector%20Performance%20Review%202010.pdf.
- Heeks, R. (2004). e-Government for development basic definitions page. Retrieved May 25, 2009, from http://www.egov4dev.org/egovdefn.hml.
- Horst, M., Kuttschreuter, M., & Gutteling, J. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-Government services in The Netherlands. Computers in Human Behaviour, 23, 1838–1852.Google Scholar
- Iqbal, M. S., & Seo, J. W. (2008). e-Governance as an anti corruption tool: Korean cases. Journal of Korean Association for Regional Information Society, 11(2), 51–78.Google Scholar
- Kim, D. J., Ferrin, D. L., & Rao, H. R. (2007). A Trust-Based Consumer Decision-Making Model in Electronic Commerce: The Role of Trust, Perceived Risk, and their Antecedents. Decision Support System, 44, 544–564. Google Scholar
- Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behaviour, Information Systems Research, 13(2), 205–223.Google Scholar
- Kwon, H. (2000). A test of the technology acceptance model: the case of cellular telephone adoption, In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Big Island, HI, USA.Google Scholar
- Lederer, A. L., Maupin, D. J., Sena, M. P. & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web, Decision Support Systems, 29, 269–282.Google Scholar
- Legris, P., Ingham, J., Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40 (3), 191–204.Google Scholar
- Liang, H., Xue, Y., & Byrd, T. A. (2003). PDA usage in healthcare professionals: testing an extended technology acceptance model. International Journal of Mobile Communications, 1(4), 372–389.Google Scholar
- Maumbe, B.M., Owei, V., & Alexander, H. (2008). Questioning the pace and pathway of egovernment development in Africa: A case study of South Africa’s Cape Gateway project, Government Information Quarterly, 25, 757–777. Google Scholar
- Navarra, D. D., & Cornford, T. (2007). The state, democracy and the limits of new public management: Exploring alternative models of e-Government. Presented at the e-Government Workshop’06 (Egov06) September 11 2006, Brunel University, London, UB8 3PH. pp. 1–14. Retrieved August 14, 2011 from http://is2.lse.ac.uk/wp/pdf/wp155.pdf.
- Papadopoulou, P., Nikolaidou, M., & Martakos, D. (2010). What is Trust in e-Government? A Proposed Typology. In: Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS-43- 2010), Koloa, Kauai, Hawaii.Google Scholar
- Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model, International Journal of Electronic Commerce, 7(3), 101–134.Google Scholar
- Saadé, R. G., & Kira, D. (2007). Mediating the impact of technology usage on perceived ease of use by anxiety. Computers & Education, 49(4), 1189.Google Scholar
- Shen, C. C., & Chiou, J-S. (2010). The impact of perceived ease of use on Internet service adoption: The moderating effects of temporal distance and perceived risk, Computers in Human Behavior, 26(1), 42–50.Google Scholar
- Syamsuddin, I., & Hwang, J-S. (2010). A New Fuzzy MCDM Framework to Evaluate E-Government Security Strategy. IEEE 4th International Conference on Application of Information and Communication Technologies AICT2010. Retrieved April 1, 2010, from http://arxiv.org/ftp/arxiv/papers/1011/1011.3101.pdf.
- UN e-Government Report (2008). UN e-Government survey 2008: From e-Government to connected governance, ISBN 978 -92-1-123174-8, UN White paper.Google Scholar
- UN e-Government Survey. (2010). Leveraging e-Government at a time of financial and economic crisis. Retrieved October 4, 2010, from http://unpan1.un.org/intradoc/groups/public/documents/un/unpan038851.pdf.
- Venkatesh, V., Moris, M.G., & Davis, G.B. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425–478. Google Scholar
- Wong, W., & Welch, E. (2004). Does e-Government promote accountability? A comparative analysis of web site openness and government accountability, Governance: An International Journal of Policy, Administration, and Institutions, 17(2), 275–297.Google Scholar