Wilson Koligey holds a BSc in Mathematics from Kenyatta University, Post Graduate Diploma in Computer Science and MSc Information Systems both from the University of Nairobi. He has long experience in the corporate world, with experience in use of ICT as a key enabler in the financial industry, having risen to the position of Group Head of Information Systems Audit. He has experience in IS Audits and is an active member of ISACA, the premier international professional association focused on IT governance. Other areas of experience include IT Project management, Data Analytics, Business Analysis and Systems Training through content development and delivery.
Project Summary
Project Title: Evaluation of User Satisfaction Based on Experience With E-Government Platforms
Abstract: Governments have continued to push to ensure that citizen facing services are automated. That innovation is recognized has the implication that the government has the freehand to innovate on the delivery channels so as to take the service closer to the citizens via online portals, digital payments and self-printing of payment receipts or the requisite documents and e-participation. Many governments around the world have implemented such systems for use not only by their citizenry but indeed all others that may want a particular service from the Government. Difficulties in implementation of technology is an area faced by the developing countries in implementing e-government systems and hence the need to close existing gaps provides opportunity to conduct further studies (Ahmad, et al, 2012). This study set out to investigate citizen satisfaction with e-government websites in Kenya by engaging the end-users to capture their interaction experience primarily on several fronts; the service that they receive from the websites and the interface being the design, layout and navigation and user training through availing policies and user documentation and systems availability. To bring this to fruition, the researcher undertook a survey through use of questionnaires to collect the research data. Descriptive statistics, diagnostic tests, inferential statistics were undertaken on the data collected. SPSS (v25) and SmartPLS were used to undertake the analysis of the data and the results presented. The results of the research findings suggest that user expectation, user interface, and system reference documentation are important factors that influence end-user satisfaction.