An Empirical Investigation of M-Government Acceptance in Developing Countries: A Case of Kenya

An Empirical Investigation of M-Government Acceptance in Developing Countries: A Case of Kenya

Gilbert Bundi Mwirigi, Hangjung Zo, Jae Jeung Rho, Min Jae Park
Copyright: © 2017 |Pages: 28
DOI: 10.4018/978-1-5225-1703-0.ch004
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Abstract

Technological development in the past decade has motivated governments in developing countries to focus on leveraging new technologies for efficient and effective public service delivery. M-government has been singled out as one of the fundamental aspect for socio-economic growth in developing countries. Therefore, this study aims at investigating the factors that influence individuals in adoption of new technology, specifically m-government in the context of developing countries. Precisely, this study was to present and empirically validate a research model based on user behavior that examine m-government acceptance in developing countries and inspect the moderating role of facilitating conditions on m-government adoption. The research model was tested using data from 248 respondents from Kenya, surveyed between August and September 2011. The results indicated that the proposed model explained a variance of 60.5 percent of behavior intention to use m-government. In addition, facilitating conditions were found to be a crucial spur to m-government acceptance in developing countries.
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Overview Of The Country Profile

Kenya is relatively a large country covering about 581, 313 sq. km. with a population of 38.6 million people (Kenya National Bureau of Statistics, 2014). The population is not evenly distributed around the country in addition to the country having mountainous regions and vast areas of arid and semi-arid regions. Also, influencing the demographics is the socio-cultural behavior of communities, particularly the pastoralists who are known to move from one place to another in search of fodder for their animals. In this regard therefore, it poses a challenge to provide government services using e-government to these communities as they are always on the move. Furthermore, statistics from the telecommunication regulator Communications Authority of Kenya (CAK) indicated that mobile penetration has reached 80.5% of the total population in Kenya, with mobile networks covering over 90% of the total population and 45% of the land mass. This fact serves as a motivation to study the deployment of m-government as a supplement to e-government in areas that are not served by e-government due to lack of fixed telecommunication infrastructure.

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