Kenya Methodist University (KeMU) is facing challenges like duplication of work due to lack of a central repository for knowledge retention, loss of knowledge through expertise leaving the institution without knowledge being captured and over reliance on a few known subject matter experts as others have not been identified. Utilising the Knowledge Retention Strategy framework, this study sought to assess knowledge retention practices at KeMU, with a view to entrench the culture of sharing knowledge. The ultimate aim of this study was to develop a model for knowledge retention at institutions of higher learning which KeMU could adopt. The study relied on mixed method research (MMR) with qualitative and quantitative data mixed at collection, analysis, discussion and reporting levels. The study triangulated data collection tools which encompassed a questionnaire, interview, observation and review of documents to collect data from 106 respondents and 11 heads of departments respectively. These two groups were purposively selected as they play a key role in knowledge retention at KeMU. The study disclosed a variety of informal knowledge retention practices but formal practices like: documented work processes; training and development for specific job tasks; orientation for general and job specific; knowledge repositories; communities of practice; knowledge retention policies; knowledge recovery initiatives; and human resources processes and practices for knowledge retention were lacking. Considering the value placed on the above list of lacking essential practices for knowledge retention, KeMU is indeed in dire need for a solution to help retain operational relevant knowledge. The study formulated a KR model for institutions of higher learning that would help KeMU leverage its knowledge assets. The study recommends that KeMU should work out a knowledge retention policy on how to implement the best knowledge retention practices. A further study on measuring KM in an academic institution is recommended. / Information Science / M. Inf.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/21687 |
Date | 06 1900 |
Creators | Stephen, Evangeline Kagwiria |
Contributors | Schellnack-Kelly, Isabel, Ngoepe, Mpho |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | 1 online resource (xvi, 221 leaves) : color illustrations |
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