Department of Computer science and Information Technology

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Browsing Department of Computer science and Information Technology by Subject "Adoption"

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    An analysis of e-learning information system adoption in ugandan universities: Case of makerere university business school.
    (2012-04) Mayoka Kituyi, Geoffrey; Kyeyune, Robert
    This paper presents an examination of e-learning Information Systems failures and adoption problems in Ugandan universities based on Rogers and Shoemaker’s Diffusion of Technological Innovation Theory. Makerere University Business School was used as a case study, where two e-learning systems at Makerere University Business School were surveyed. A self-administered questionnaire was given to 200 respondents who comprised of academic staff, administrative staff and students. The results were analyzed using descriptive statistics. Findings indicate that Assistant Lectures and Lecturers were more willing to adopt to e-learning than their senior counterparts, the Professors. The results also indicate that although students are aware of e-learning, many of them were not comfortable using the technology. The most hideous challenges for e-learning adoption were identified as lack of resources, knowledge and resistance to change. A number of recommendations have been made for faster adoption and use of e-learning information systems at Makerere University Business School and other universities.
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    A mobile-based communication adoption Model for agricultural market information dissemination in Uganda
    (2016-10-17) Engotoit, Benard; Moya, Musa.B.; Mayoka Kituyi, Geoffrey; Abima, Bonface
    This study proposes a mobile-based communication adoption model for agricultural marketinformation dissemination in Uganda. An extended Unified Theory of Acceptance and Use of Technology model was used to guide the study. A survey was conducted on 302 commercial farmers and agribusiness traders in Eastern Uganda using self-administered questionnaires. Data were analyzed using descriptive statistics; Structural Equation Modelling was also used to perform confirmatory tests analyses on study variable relationships and to develop the proposed model. Findings reveal a positive significant relationship between Performance Expectancy and Behavioral Intentions to use; Effort Expectancy and Behavioral Intentions to use; Social influence and Behavioral intention to use; Behavioral intention to use and adoption of mobile-based communication technologies. However, the relationship between affordability of mobile-based communication technologies and behavioral intentions to use and the relationship between facilitating conditions and adoption of mobile-based communication technologies were dropped by the structural equation model because they had negative path coefficients. Effective adoption of Mobile-Based Communication Technologies for Agricultural Information Dissemination in Uganda can be achieved with stakeholders increasing on the functionality and the ease of use of these mobile-based communication technologies; provide nationwide sensitization campaigns on benefits of using mobile-based communication technologies; ensure provision ofaccurate and reliable agricultural market information by using mobile based communication technologies, provide benefits to members of society so as to convince others to use mobile-based communication technologies.