Adoption of m-Government in Civil Service: Case study of the Ministry of Information and Communications - Kenya
Abstract
Rapid technological changes in the Information and Communication Technology (ICT) sector have played a pivotal
role in the growth of digital economy (Stoltzfus, 2005). It has resulted governments making significant attempts to
take advantage of this advancement to support many areas of their activities, especially making services and
information available online. However, the success of these efforts depends on how well the targeted users for such
services make use of them. For this reason, the purpose of this study was to identify what factors could affect the
citizens' adoption of m-Government services in Kenya‟s civil service, using the Ministry of Information and
Communications as the Case Study. The study‟s objectives were to identify the adoption level of m-Government
services in Kenya, explore different frameworks used in adoption of m-Government services by other Governments,
identify most appropriate adoption framework for m-Government services in GoK, and validate the framework for
use in Kenya. Hypothesis drawn from previous studies indicate seven constructs (Perceived Ease of Use, Perceived
Usefulness, Perceived Trust, Perceived Quality, User‟s satisfaction, Demographic factors, m-Government Adoption)
influence an individual‟s intention to adopt m-Government. This study used Modified Technology Acceptance
Model (MTAM). The researcher targeted the seven hundred and thirty five (735) staff in the Ministry of
Information and Communications. 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
“Least agree” was used to measure each question. The questionnaires‟ administration was onto 210 members of
staff at MOIC out of which 171 responded. The study used multiple regression method to carry out data analysis,
whereas data presentation was in descriptive and inferential forms. The research findings showed there is need for
ICT related services at the community level provided by the Government agencies. Whereas, there are several
benefits achieved by using the m-Government services, some constraints are hindering successful uptake of the mGovernment
applications. The results of this study show that demographic factors, perceived easy use, perceived
usefulness, perceived quality and satisfaction have significant effect on the intention to use m-Government. There is
also substantial support for all proposed hypotheses.
Citation
MASTERS OF SCIENCE IN COMPUTER SCIENCEPublisher
University of Nairobi School of Computing and Informatics