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Makau GK, Omwenga EI, Muranga NJ. "The Critical Technological Factors of E-Government in Kenya." International Journal of Computer Applications Technology and Research (IJCATR). 2015;4(2):92-97. AbstractJournal website

EGovernment and innovation can provide significant opportunities to transform public administration into an instrument of sustainable development. However, the rate of failure of eGovernment projects in the developing world, and specifically Africa, has raised questions on the critical factors contributing to their success or failure. The general lack of comprehensive information concerning eGovernment project performance status and the critical technological factors influencing it in Kenya also necessitated this study. To answer this question, this study aimed at assessing the critical technological factors of eGovernment projects performance in Kenya. The study targeted all the 18 eGovernment projects in place implemented through the Communications Authority (CA) of Kenya. The results are based on response from 217 respondents who consisted of 52 eGovernment project implementers and 165
eGovernment service consumers. The study found that of the technological predictors of eGovernment, only system integration, processes and usage of eGovernment system emerged to have positive significant relationships with project performance in Kenya.
Other factors including information technology standards, security issue, privacy issue, cooperation or collaboration, eGovernment portal availability, eGovernment portal access, and various computer usages also had positive but insignificant relationships with eGovernment project performance and hence not critical in influencing to eGovernment project performance in Kenya.
Keywords: eGovernment, Projects, Critical, Technological, Factors, Performance

Makau GK, Omwenga EI, Nzomo DN. "The Critical organizational Factors of e-Government in Kenya." International Journal of Computer Applications Technology and Research (IJCATR). 2015;4(4):246-252. Abstractjournal_ijcatr04041007_critical_organisationalfactors_makauomwenga.pdfJournal website

eGovernment focusses on the use of technology to achieve levels of improvement in various areas of government, transforming the nature of politics and relations between the government and citizens. However, in Kenya, just like in other developing nations, many eGovernment projects have either stalled or failed to meet their objectives due to some key organizational factors. This study therefore highlights critical organizational factors affecting eGovernment projects and the nature of their relationships with eGovernment performance. The study employed cross-sectional survey design. Targeting the entire 18 eGovernment projects implemented through the Information Communications Authority of Kenya since 2005. Both primary and secondary data was collected and analyzed based on response from 217 respondents out of the 300 who participated (72% response rate). At the end, it emerged that out of the various organizational factors hypothesized to predict eGovernment projects Performance, only organizational structure, prioritization of deliverables, and organizational culture are critical in Kenyan context. Others identified in previous studies such as future needs of the organization, power distribution, structure, information system strategy alignment, prioritization of deliverables, and training were also important but not critical.
Keywords: eGovernment; Organizational; Critical Factors; Performance; Projects

Mwakondo FM, Muchemi LM, Omwenga EI. "Proposed Model for Predictive Mapping of Graduate's Skills to Industry Roles Using Machine Learnining Techniques." The International Journal Of Engineering And Science (IJES). 2016;5(4). AbstractFull Text Link

The main focus in training evaluation is not only to determine whether training objectives
were achieved but also how to improve evaluation so as to enhance both employability of
graduates and performance in the job. This is in response to challenges facing not only
graduates in choosing industry jobs that befit their skills, but also employers in selecting
graduates whose skills match to their needs. Problem solving is one of the skills acquired
during training by graduates and strongly sought for by employers during evaluation to
promote performance in the job. This paper presents a model for evaluating graduates' by
mapping their problem solving skills to industry jobs' competence requirements and the
potential of using machine learning techniques to train the model in predicting suitable

Mwakondo FM, Muchemi L, Omwenga EI. "Proposed Model for Predictive Mapping of Graduate’s Skills to Industry Roles Using Machine Learning Techniques." International Journal of Engineering and Science (IJES) . 2016;5(4):15-24. Abstractjournal_c0504015024_theijes_mwakondo_eio.pdfJournal website

The main focus in training evaluation is not only to determine whether training objectives were achieved but also how to improve evaluation so as to enhance both employability of graduates and performance in the job. This is in response to challenges facing not only graduates in choosing industry jobs that befit their skills, but also employers in selecting graduates whose skills match to their needs. Problem solving is one of the skills acquired during training by graduates and strongly sought for by employers during evaluation to promote performance in the job. This paper presents a model for evaluating graduates’ by mapping their problem solving skills to industry jobs’ competence requirements and the potential of using machine learning techniques to train the model in predicting suitable industry jobs for new graduates from college. The paper outlines challenges facing both graduates and industry in selecting industry jobs and skilled graduates respectively, highlights trends, methods, and gaps in skill evaluation and prediction. A brief discussion is made of key strategies in skill evaluation and prediction that need to be undertaken and evaluation theories behind the key variables of the proposed model.

Keywords: Gap, Mapping, Problem solving skills, Training evaluation, Trends

Mwakondo FM, Muchemi L, Omwenga EI. "Trends towards Predictive Mapping of Graduate’s Skills to Industry Roles: A case Study of Software Engineering." British Journal of Education, Society & Behavioural Science. 2016;18(1). AbstractFull Text Link

The main focus in training evaluation is not only to determine whether training objectives were achieved but also how to improve evaluation so as to enhance both employability of graduates and performance in the job. This is in response to challe nges facing not only graduates in choosing industry jobs that befit their skills, but also employers in selecting graduates whose skills match to their needs. Problem solving is one of the skills acquired during training by graduates and strongly sought fo r by employers during evaluation to promote performance in the job. This paper presents a model for evaluating graduates’ by mapping their problem solving skills to industry jobs ’ competence requirements and the potential of using machine learning techniqu es to train the model in predicting suitable industry jobs for new graduates from college . The paper outlines challenges facing both graduates and industry in selecting industry jobs and skilled graduates respectively, highlight s trends , methods , and gaps in skill evaluation and prediction. A brief discussion is made of key strategies in skill evaluation and prediction that need to be undertaken and evaluation theories behind the key variables of the proposed model.

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