E-government Adoption Landscape Zambia: Context, Issues, and Challenges
This chapter aims to investigate the level of adoption of e-government at the individual level by ordinary citizens in Zambia. It looks at the factors that inhibit or encourage the adoption of e-government. The chapter reviews the literature to investigate the citizens’ behavioral intention to adopt e-government by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to explore individual adoption and diffusion of e-government services. E-government projects implemented as pilots for e-government implementation feasibility are presented. The chapter further looks at the different challenges, opportunities, and issues regarding e-government adoption and encapsulation into the Zambian contextual environment, and further discusses a possible conceptual model which may offer a balanced e-government adoption criterion involving a combination of electronic and participatory services. This is being done by incorporating different characteristics from different e-government adoption models in practice in different countries and how these models can be harmonized to come up with an optimal model that takes care of the local context. This e-government adoption model may further be extended to be used as an e-government adoption model for the Southern African Development Community (SADC) region.
Concerns in the study of encapsulation of e-government into the social economic realms of Zambia start from the very basic aspect of probing whether the country has basic ICT infrastructure and the political will to implement e-government systems. This suffices to point to the fact that before even thinking of putting in place appropriate legal, institutional, and regulatory frameworks, e-government systems in Zambia should be built on building the confidence and trust in it by the ordinary citizens. Has this been done?
KeywordsTechnology Acceptance Model Intellectual Property Right Southern African Development Community Wireless Asynchronous Transfer Mode Southern African Development Community Region
- Al-Shafi, S., & Weerakkody, V. (2009). Understanding citizen’s behavioural intention in the adoption of e-Government services in the state of Qatar. Paper presented at 17th European conference on information systems, ECIS 2009, June 8–10, Verona, Italy.Google Scholar
- Bwalya, K. J. (2009). Factors affecting e-Government adoption in Zambia. Electronic Journal of Information Systems in Developing Countries (EJISDC), 38(4), 1–13.Google Scholar
- Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J., & Walden, B. (2006, January 04–07). Adoption of mobile devices/services – Searching for answers with the UTAUT. Proceedings of the 39th Annual Hawaii International Conference on System Sciences, Hawaii, USA, 1(1), 132–148.Google Scholar
- Carter L., & Weerakkody, V. (2008). E-Government adoption: A cultural comparison, information systems frontiers. Springer, 10(4), 473–482.Google Scholar
- Colesca, S. (2007). The main factors of on-line trust, Economia. Seria management. ASE Publishing House, 10(2), 27–37.Google Scholar
- Colesca, S. (2009). Increasing E-trust: A solution to minimize risk in e-Government adoption. Journal of Applied Quantitative Methods (JAQM), 4(1), 31–44.Google Scholar
- Engebretsen, T. (2005). Acceptance of information technology by health research projects in low-income countries: Intention to use and acceptance of using EpiHandy (IUAUE). Master’s Thesis. Norway: University of Bergen.Google Scholar
- Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.Google Scholar
- Heeks, R. (2003). Achieving success/avoiding failure in e-Government projects. IDPM, University of Manchester. Retrieved July 16, 2009, from http://www.egov4dev.org/success/sfdefinitions.shtml.
- Marchewka, J., Liu, C., & Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions. Using Course Management Software. Communications of the IIMA, 7(2), 93–104.Google Scholar
- Mulozi, D. L. (2008). Rural access: Options and challenges for connectivity and energy in Zambia, international institute for communication and development (IICD) thematic report. Retrieved September 3, 2009, from http://www.iicd.org/files/Zambia-Rural-Access-Report.pdf.
- Riley, T. (2003). E-Governance vs. E-Government. ICT and Governance, Retrieved July 30, 2009, from http://www.i4donline.net/issue/nov03/egovernance_full.htm.
- Spremi´c, M., Šimurina, J., Jakovi´c, B., & Ivanov, M. (2009). E-government in transition economies. World Academy of Science, Engineering and Technology, 5(3), 518–526.Google Scholar
- Srivastava, S. C., & Thompson, S. H. (2005). Citizen trust development for e-Government adoption: Case of Singapore. In Proceedings of Pacific Asia Conference on Information Systems, 2005, pp. 721–724.Google Scholar
- Stiftung, B. (2002). Balanced E-Government: E-Government – Connecting efficient administration and responsive democracy. A study by the Bertelsmann Foundation. Retrieved March 23, 2009, from http://www-it.fmi.uni-sofia.bg/eg/res/balancede-gov.pdf.
- Tassabehji, R., & Elliman, T. (2006). Generating citizen trust in e-Government using a trust verification agent: A research note. European and Mediterranean Conference on Information Systems (EMCTS). Retrieved May 18, 2009, from http://www.iseing.org/emcis/EMCIS2006/Proceedings/Contributions/EGISE/eGISE4.pdf.
- Thompson, G., Frances, J., Levacic, R., & Mitchell, K. (1991). Markets, hierarchies and network. The coordination of social life. London: Sage.Google Scholar
- Tibenderana, P., & Ogao, P. J. (2008). Information communication technologies acceptance and use among university communities in Uganda: A model for hybrid library services end-users. International Journal of Computing and ICT Research, Special Issue, 1(1), 391–410.Google Scholar
- United Nations Report. (2008). UN e-Government survey 2008: From e-Government to connected governance. UN White paper. ISBN 978 -92-1-123174-8. Google Scholar
- Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of systems use: The competing roles of behavioural intention, facilitating conditions and behavioural expectation. MIS Quarterly, 32(3), 483–502.Google Scholar
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a Ufified Vieg. MIS Quarterly, 27(3), 425–478.Google Scholar
- Wauters, P., & Lörincz, B. (2008). User satisfaction and administrative simplification within the perspective of eGovernment impact: Two faces of the same coin? European Journal of ePractice, 4(2), 1–10.Google Scholar
- Yang, H. I., & Yang, H. L. (2005). The role of personality traits the UTAUT model under onlinestocking. Contemporary Management Research, 3(1), 69–82.Google Scholar
- Zanello, G., & Maassen, P. (2009). Strengthening citizen agency through ICT: An extrapolation for Eastern Africa. Paper presented at Governing Good and Governing Well: The First Global Dialogue on Ethical and Effective Governance, Amsterdam, May 28–30, 2009.Google Scholar
- Zhang, P. L., & Sun, H. (2006). Affective quality and cognitive absorption. Extending technology acceptance research. In: Proceedings International Conference on System Sciences. Kauai, Hawaii.Google Scholar