Adoption of m-government services in the ministry of interior and coordination of national government

Abstract

The Government of Kenya, like any other governments around the globe, has started moving towards m-government as a next step to improve its interaction with citizens and enhance the quality and delivery of services. However, the success of these efforts depends on how well the targeted users for such services make use of them. For this reason, the prime motivation of this research was to provide a useful instrument to policy makers in the Ministry of Interior and Coordination of National Government (MICNG) in Kenya, which demonstrate possible drivers of adoption of m-government services, and that can form basis for evaluating the likelihood of success of m-government projects. Moreover, such knowledge could assist policy makers to proactively devise mechanisms aimed at stemming possible resistance to m-government. The study‟s objectives were to understand the adoption level of m-government services in MICNG, analyze the challenges that confront m-government adoption in MICNG, propose a model guiding intensions of adoption of m-government services in MICNG and finally, validate the proposed model with the data collected in MICNG. This study uses Unified Theory of Adoption and Use of Technology (UTAUT). The researcher targeted the one thousand five hundred and eighty five (1585) staff in the Ministry of Interior and Coordination of National government. The respondents were gotten using Simple random sampling method, while discussions with colleagues and the supervisor ensure the reliability of the questionnaire. This assisted to make appropriate adjustment to the questionnaire. The five-point Likert scale with endpoints of “strongly agree” and “strongly disagree” was used to measure each question. The questionnaire was administered to two hundred and forty (240) members of staff at MICNG out of which one hundred and seventy two (172) responded. The study used both correlation and multiple regression methods to carry out data analysis, whereas data presentation was in descriptive and inferential forms. The research findings showed that performance expectancy, social influence, compatibility, awareness and internet experience and mobile device significantly contribute to the prediction of the intention to use m-government services whereas time and effort, ease of use and trust insignificantly contribute to the prediction of the intention to use m-government services. Keywords: Adoption, m-government, policy makers, Unified Theory of Adoption and Use of Technology, performance expectancy, social influence compatibility, awareness, internet experience, ease of use, time and effort, trust