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<title>Department of Computer science and Information Technology</title>
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<dc:date>2022-04-09T14:28:29Z</dc:date>
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<title>Mediating effect of price value on effort expectancy and behavioural intentions to use mobile communication technologies by commercial farmers in uganda</title>
<link>https://mubsir.mubs.ac.ug//handle/20.500.12282/3176</link>
<description>Mediating effect of price value on effort expectancy and behavioural intentions to use mobile communication technologies by commercial farmers in uganda
B. Moya, Musa; Engotoit, Benard; Mayoka  Kituyi, Geoffrey
This study examines the mediating role of Price Value on Effort Expectancy and Behavioural Intentions to Use mobile communication technologies by commercial farmers in Uganda. A cross sectional design and quantitative field survey method were adopted with 302 commercial farmers’ selected using snowball and purposive sampling techniques for the survey. Statistical mediation analysis was carried out using bootstrap mediation tool in Analysis of Moments Structures (AMOS) and Statistical Package for Social Sciences (SPSS) to test for mediation between the three variables of Price value, Effort Expectancy and Behavioural Intentions to Use. Price Value was found to mediate Effort Expectancy on Behavioural Intentions to use. From the findings, there is need for knowledge creation and market research so as to understand the unique needs of price value perceived by commercial farmers on mobile communication technologies, effort expectancy and behavioural intention on demand side. The study thus provides critical literature and evidence on the mediating role of Price value on relationship between Effort Expectancy and behavioural intention of mobile communication technologies by commercial farmers in resource constrained countries like Uganda. The study further proves that there exists a direct relationship between Price Value and Effort Expectancy; Effort Expectancy and Behavioural intentions to use of Mobile communication technologies. Policy makers need to design mobile phone policies and adopt strategies geared through Price Value, Effort Expectancy and Behavioral Intentions to use. It is also imperative that Policy frameworks support the establishment of robust, cost effective and easy to use Mobile communication technologies in ministry of agriculture to enhance service delivery.
Article
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<dc:date>2018-05-01T00:00:00Z</dc:date>
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<title>A model to enhance students intention to adopt and use mobile learning in Ugandan Universities</title>
<link>https://mubsir.mubs.ac.ug//handle/20.500.12282/3175</link>
<description>A model to enhance students intention to adopt and use mobile learning in Ugandan Universities
Mubuke, Faisal; Mayoka  Kituyi, Geoffrey; Ogenmungu, Cosmas
M-learning systems have become the order of the day for universities in countries like&#13;
Uganda to conduct studies to their students. The main attention towards M-learning is the&#13;
increase in the number of mobile devices such as mobile phones, PDAs, Smart Phones, laptops,&#13;
and iPads as well as enhancements in the technological capabilities of these devices. The&#13;
purpose of this study was to develop a model to enhance students’ intention to adopt and use&#13;
mobile learning. A number of factors have hindered the adoption and use of M-learning. Various&#13;
solutions have been put forward but they have not adequately addressed the issue of adoption&#13;
and use of M-learning in Ugandan Universities. In developing countries, M-learning adoption and&#13;
use is also constrained by lack of information about its requirements. The need therefore&#13;
remains, to determine requirements and customize existing M-learning adoption models to suit&#13;
the needs of universities in developing countries.
Article
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<dc:date>2016-01-01T00:00:00Z</dc:date>
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<item rdf:about="https://mubsir.mubs.ac.ug//handle/20.500.12282/3174">
<title>Self-management of learning as a key predictor of students intention to use m-learning in Ugandan Universities.</title>
<link>https://mubsir.mubs.ac.ug//handle/20.500.12282/3174</link>
<description>Self-management of learning as a key predictor of students intention to use m-learning in Ugandan Universities.
Mubuke, Faisal; Masaba, Kutosi Ayub; Mayoka  Kituyi, Geoffrey; Ogenmungu, Cosmas; Kimono, Lydia
Self-Management of learning plays a fundamental role in higher learning by improving student’s intention to use M-learning systems for academic purposes. The purpose of this study was to examine the influence of Self-Management of learning on the intention to use M-learning systems in Ugandan universities. A cross sectional survey methodology was employed to collect data from 370 students selected from two different universities in Ugandan universities on the variables of study. Results of correlation and regression analysis indicated that a positive and significant relationship exists between Self-Management of learning and intention to use M-learning systems. These findings have theoretical implications for intention to use M-learning systems by aligning Self-Management of Learning as a Significant Predictor of intention to use M-learning systems. The findings also have practical interventions designed at enhancing student’s intention to use of M-learning systems which implies that universities should ensure that students are able to control their learning activities. The more the learner controls their own activities, the more successful learning will occur.
Research article
</description>
<dc:date>2017-01-01T00:00:00Z</dc:date>
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<title>A comparative study of e-medicine uptake in Uganda, Nigeria and Ethiopia</title>
<link>https://mubsir.mubs.ac.ug//handle/20.500.12282/3173</link>
<description>A comparative study of e-medicine uptake in Uganda, Nigeria and Ethiopia
Isabalija, Stephen Robert; Mayoka  Kituyi, Geoffrey
This study sought to examine the uptake of e-medicine in three Sub-Saharan Africa countries namely; Uganda, Ethiopia and Nigeria, with the aim of establishing the salient factors that influence sustainable e-medicine in Sub-Saharan Africa. A mixed research approach involving both qualitative and quantitative research methods was used. A sample of 416 Medical Officials, Information Technology staff, and Hospital Administrators was selected from all the three participating countries. Survey questionnaires and interviews guides were used to collect data. Data were sorted and analyzed using Structural Equation Modeling in order to test research hypotheses and develop the model. Findings show that social environmental factors determine the level of influence of institutional and technological environments on sustainable e-medicine uptake in all the three countries. The findings also reveal that countries with knowledge management practices are more likely to produce sustainable e-medicine outcomes, thereby improving e-Medicine uptake. For successful uptake of e-Medicine in Uganda, Ethiopia, Nigeria and other Sub-Saharan Africa countries, there is need to set up a networked e-Medicine sites across hospitals in different countries, generate local content, formulate national-level e-Medicine policies, train users, and encourage donor funding for e-Medicine projects.
Article
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<dc:date>2017-05-06T00:00:00Z</dc:date>
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