CW-Department of Computing & Information Technology

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    Effects of environmental disasters on the family in Kenya
    (Kenyatta Universiry, 2003) Mburugu, Keren G.; Kithinji, Ciriaka T.
    Thepaper focuses on the main environmental disasters and issues in Kenya. Two main types of environmental issues that impact on thefamily are: Natural disasters such asfloods, earthquakes and landslides; and man-made environmentalproblems which include pollution, deforestation, community displacement, war and its effects such as landmines and bombs; development projects which result in the destabilization of natural ecosystems. The paper links environmental issues and thefamily situation e.g. poverty, poor crop yields leading tofood insecurity; separation of family members; maiming of family members; death of family members as a result of war, disease, poor unhygienic conditions at camps; loss of family property such as farms, livestock, stored grain and homes. Strategies for conquering and coping with the various disasters are suggested
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    Determinants of technology innovation implementation effectiveness in higher education institutions
    (IEEE, 2013) Kandiri, John; Muganda, N.
    Higher education institutions have continued to acquire technologies with alacrity. However, the transition from adoption to application in teaching and learning has been below expectations. This exploratory study investigated the lack of cadence between adoption and effective implementation of educational technology initiatives. The study was based on PHEA-ETI projects that ran between June 2008 and June 2012. The projects entailed implementation of technology initiatives for example animating science content among others. A questionnaire was sent to all persons involved in the implementation of the projects. Out of the 163 targeted respondents, 105 usable responses were received. Team leaders were interviewed with focus groups held with implementation teams. The study adopted: top management, financial motivation, organizational culture. The new model added the variables: team leadership, monitoring and evaluation and innovation efficacy. When the data was analysed using SPSS version 17, the results confirmed determinants from earlier studies while also showing that team leadership and project efficacy were significant factors to consider in technology innovation implementation.