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End date: 2019Subject: search.filters.subject.Knowledge management

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    Technological capability of the Marist International University College to support a knowledge management initiative
    (University of KwaZulu-Natal, 2014-12-14) Anduvare, Everlyn M'mbone; Minishi-Majanja, Mabel
    This article is based on a Master’s degree study which aimed to conduct a knowledge management (KM) assessment at the Marist International University College (MIUC), Nairobi-Kenya. Adopting the technology aspect of the Arthur Andersen’s Knowledge Management Assessment Tool (KMAT) model, one objective focused on taking inventory of the technologies at the MIUC that support KM. The mixed method approach was employed to collect data from the MIUC staff using a questionnaire and interviews. A purposive sampling technique ensured that respondents included key role players in KM activities at the MIUC. Using data transformation analysis, qualitative data from open-ended questions and interviews were quantified using content analysis. Quantitative data in the questionnaires were descriptively analysed using SPSS. The study found that the MIUC’s ICT infrastructure was inadequate in bandwidth and tools to support KM. The study recommends that the MIUC should invest in a systems upgrade of its ICT infrastructure to support KM adequately, and additionally develop policies and procedures to guide in the proper utilisation of ICT tools to enhance KM
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    Maximising the socioeconomic value of indigenous knowledge through policies and legislation in Kenya
    (Emerald insight, 2018) Chepchirchir, Sally; Kwanya, Tom; Kamau, Alice
    Purpose – Indigenous knowledge (IK) is the anchor of survival and stability for indigenous communities. The purpose of this study was to establish how the socioeconomic value of IK can be maximised in Kenya througheffectiveenactmentandimplementationofrelevantpoliciesandlegislation. Design/methodology/approach The study adopted a mixed methods research using a survey design. The target population comprised 104 top- and middle-level managers drawn from organisations implementing diverse IK policies and legislation. Primary data were collected from the target population using questionnaires.Additional data were collected using content analysis of IK policies and legislation.The collected data were analysed using descriptive and inferential statistics with the help of IBM’s Statistical Package for Social Sciences(SPSSVersion22)software. Findings – The findings revealed a low awareness of the IK policies and legislation by the stakeholders. It also became evident that the policies and legislation relevant to IK are not implemented effectively. The authors conclude that policies and legislation do not maximise the socioeconomic value of IK in Kenya. Originality/value – This is an original study which has practical implications for the use of IK for socioeconomic purposes. The findings of the study may be used to influence policy formulation and implementation; theory on IK; and practices which mainstream IK in socioeconomic activities in Kenya and beyond.
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