Browsing by Author "Murumba, Julius"

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    Fostering the Fourth Industrial Revolution Technologies for Youth and Women Empowerment
    (Journal of Information Engineering and Applications, 2021-02-28) Micheni, Elyjoy; Wechuli, Alice Nambiro; Murumba, Julius; Machii, Jackson K
    The fourth industrial revolution presents society with significant opportunities to incorporate emerging creative and technology innovations and strategies for youth and women empowerment. This paper uses content analysis in 1) identifying the fourth industrial revolution technologies available for youth and women's empowerment 2) exploring the capacity of 4IR technologies for empowering youth and women 3) investigating the difficulties faced by young and women in using these (4IR) technologies 4) exploring approaches that may encourage the use of these (4IR) innovations by young people and women. An analysis of the literature was carried out and included reports, scholarly journal articles, and conference proceedings. The keywords used were the Fourth Industrial Revolution, Youth, and women. The study concludes that the fourth industrial revolution promotes social change, improves service accessibility, improving global income levels, promoting the standard of living for youth and women, and enhancing the equitable digital economy
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    Semantic Web and Grid Technology use in Collaborative Researches for Universities in Kenya
    (IST-Africa Institute and IIMC, 2020-04-28) Murumba, Julius; Micheni, Elyjoy M; Wechuli, Alice Nambiro
    The study intended to explore the effects of semantic web and grid computing technologies on collaborative researches, and to provide information for adopting and utilizing these technologies in information systems of Kenyan universities. The objectives of the study were first to establish the use of semantic web technologies for collaborative research in universities and secondly to establish the use of grid technologies for collaborative research in universities in Kenya. In order to achieve the study objectives, a survey research design was employed and involved quantitative as well as qualitative methods of data collection from respondents. Purposive sampling method was used to select the schools of computing and Informatics in five universities in Kenya, and census method to select all one hundred and forty four (144) academic staff members and research scholars from the schools of computing and informatics of the selected universities. Data collection instruments consisted of questionnaires and interviews. Statistical data analysis tool SPSS V21 was used in data analysis. Descriptive statistics and Correlation analysis were computed to determine relationships between the variables under study. Correlation analysis indicated a statistically significant positive correlation between both semantic web technologies (r = 0.531, p<0.01), grid technologies (r = 0.466, p<0.01) and collaborative research, implying that these technologies influenced collaborative research. Universities can therefore increase the adoption and utilization of semantic web and grid technologies in order to enhance collaborative research.