ORGANIZATIONAL CULTURE AND ADOPTION OF E-GOVERNMENT FOR IMPROVED SERVICE DELIVERY IN KAJIADO COUNTY, KENYA
Abstract
Rapid growth in technology in the last two decades has made governments to start e-government intiatives as a way of ensuring effective and efficient operations. E-gernment has been shown to improve accountability and transparency as well as delivery of services in a timely and cost-effective manner. The purpose of this study was to establish the influence of human resource capacity on adoption of e-government in Kajiado County. The study was based on pragmatic paradigm. Descriptive survey was used in this study. A sample of 335 respondents was drawn from the target population of 2660 employees from the devolved 10 ministries in Kajiado County using Cochran (2007) formulae. Quantitative data was collected through open and crossed-ended questionnaires while qualitative data was collected through an interview guide. Regression models and correlation were used to analyze inferential data and test hypotheses. Qualitative data was analyzed using content analysis. The study found that human resource capacity had a strong positive influence on adoption of E-government (r= 0.595, p-value=0.000). The study concludes that human resource capacity has a significant influence on the adoption of E-government in the County Government of Kajiado. The study recommends that the county government of Kajiado should develop frequent training programmes for all the employees in the County. The training programmes should be preceded by training needs analysis for identify the training needs of the employees in regard to the use of ICT. This study also recommends that the County government of Kajiado should make use of financial and non-financial rewards to motivate the employees. In regard to financial rewards, the County government should offer more competitive salaries to the employees.
Keywords: Organizational Culture, E-Government, Service DeliveryÂ
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Abdullah, A., Rogerson, S., Fairweather, N. B., & Prior, M. (2006). The motivations for change towards E-government adoption: Case studies from Saudi Arabia. In E-government Workshop (Vol. 6, No. 1, pp. 1-21).
Aiman-Smith, H & Green, G. (2002). The use of interorganisational ICT in United States construction projects. Automation in Construction, 19(1), 73-83.
Al-Busaidy, M. M. (2011). Evaluating the institutional factors affecting E-government implementation (Doctoral dissertation, Brunel University, School of Information Systems, Computing and Mathematics).
Al-Sebie, M. & Irani, Z. (2010). Technical and organisational challenges facing transactional E-government systems: an empirical study. Electronic Government, an International Journal, 2(3), 247–276.
Bhatnagar, S. (2004). E-government : From vision to implementation-A practical guide with case studies. New York: Sage.
Borhani, A. S. (2016). Individual and Organizational Factors Influencing Technology Adoption for Construction Safety (Doctoral dissertation, University of Washington).
Bwalya, K. J. (2009). Factors affecting adoption of E-government in Zambia. The Electronic Journal of Information Systems in Developing Countries, 38.
Cochran, W.G. (2007). Sampling Techniques. 3rd Ed. New Delhi: Wiley India Pvt. Limited
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Denison, D. R., & Mishra, A. K. (1995). Toward a theory of organizational culture and effectiveness. Organization science, 6(2), 204-223.
Dwivedi, Y. & Lal, B. (2007). Socio-economic determinants of broadband adoption. Industrial Management and Data Systems, 107(5), 654–671.
Fichman, R. G. (1992, December). Information technology diffusion: a review of empirical research. In ICIS (pp. 195-206).
Fincham, J.E. (2010). Response Rates and Responsiveness for Surveys, Standards, and the Journal. Journal of Academic Research 72(2), 23-38.
Graafland-Essers, I., & Ettedgui, E. (2003). Benchmarking E-government in Europe and the US (No. 1733). Rand Corporation.
Grazioli, S., & Jarvenpaa, S. L. (2010). Perils of internet fraud: an empirical investigation of deception and trust with experienced internet consumers. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 395–410.
Guilmot, N., & Vas, A. (2014). Explaining factors affecting technological change adoption. Management Decision, 52(6), 1082-1100.
Hall, B. H., & Khan, B. (2003). Adoption of new technology (No. w9730). National bureau of economic research.
Heeks, R. (2003). Most eGovernment-for-development projects fail: how can risks be reduced? (Vol. 14). Manchester: Institute for Development Policy and Management, University of Manchester.
Hossan, C. (2015). Applicability of Lewin’s Change Management Theory in Australian Local Government. International Journal of business and Management, 10(6), 53.
Huang, Z. (2010). A comprehensive analysis of U.S. counties' e-Government portals: development status and functionalities. European Journal of Information Systems, 16, 49-164.
Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational researcher, 33(7), 14-26.
Kyobe, M. (2011). Investigating the key factors influencing ICT adoption in South Africa. Journal of systems and information technology, 13(3), 255-267.
Lau, E. (2003, November). Challenges for E-government development. In 5th Global Forum on reinventing Government (pp. 1-18). Mexico City.
Liikanen, E. (2003). E-government and the European Union. Rivista online UPGrade, 4(2), 21-28.
Moon, M. J. (2002). The evolution of e-government among municipalities: rhetoric or reality?. Public administration review, 62(4), 424-433.
Neufeld, D, Dong, L & Higgins, C. 2007, ‘Charismatic leadership and user acceptance of information technology’, European Journal of Information Systems, 16(4), 494-510
Njoroge, R.W., Nyonje, R.O. & Gakuu, C.M. (2015) Adoption of Biogas Technology Projects among Rural Household of Lanet Location- Nakuru County. African Journal of Project Planning and Management, 1(1), 51 – 74.
Nulty, D.D. (2011). The adequacy of response rates to online and paper surveys: what can be done? Assessment & Evaluation in Higher Education, 33(3), 301–314.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
Raguseo, E., & Ferro, E. (2011). eGovernment and Organizational Changes: Towards an Extended Governance Model. In M. Janssen, H. J. Scholl, M. Wimmer, & Y. Tan, Electronic Government - Lecture Notes in Computer Science 6846 (p. 418- 430). Berlin: Springer
Tomaszewicz, A.A. (2015). The impact of digital literacy on e-government development. Online Journal of Applied Knowledge Management, 3(2), 45-58.
Venkatesh, V., Morris, M.G., Davis, F.D., & Davis, G.B. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478.
Wairiuko, J. W. (2014). Factors influencing integration of information and communication technology in teaching and learning in public secondary schools in Kenya: a case of Kajiado central sub-county.
Wood-Harper, T., Ibrahim, O., and Ithnin, N. (2004) ‘An interconnected success factor approach for service functional in Malaysian electronic government’. 12th February, ICEC http://www. netcaucus. org/books/egov2001/’04, Sixth International Conference on Electronic Commerce.
Young-Jin, S., & Seang-Tae, K. (2007). E-government Concepts, Measures, and Best Practicies. In Global E-government: Theory, Applications and Benchmarking (pp. 340-369). IGI Global.
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