Knowledge management systems implementation in selected mobile telecommunication companies in Namibia
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Authors
Mubuyaeta, Mishake Mitchell
Issue Date
2023-01
Type
Thesis
Language
en
Keywords
Alternative Title
Abstract
Organisational knowledge management systems (KMS) garner global attention in
organisational environments for organisational knowledge management (KM)
practices. Organisations are grappling with the best ways to manage organisational
knowledge (OK) to foster innovation and increase organisational competitiveness.
Organisational KMS enable critical processes such as knowledge acquisition,
creation, transfer, sharing, dissemination, classification, identification, and capture
within an organisation to foster continuous innovation for competitive advantage.
Mobile telecommunication (MT) companies in Namibia must therefore recognise that
the success of their organisational KMS implementation contributes significantly to
organisational KM practices that can enhance employee and organisational
performance.
The study explored the current state of organisational KMS implementation in selected
MT companies in Namibia. The study used the technology organisation environment
(TOE) and the socialisation externalisation contribution and internalisation (SECI)
theories to aid in conceptualising the framework of the study. The study used a mixed method approach via a convergent parallel design.
The sample of the study was made up of 329 employees from two selected MT
companies in Namibia. Twenty interviews and document analysis were employed in
the qualitative method. On the other hand, the survey was conducted under a
quantitative method. Purposive sampling was used to select qualitative participants
and documents. Three hundred and nine respondents for the quantitative phase were
identified using proportionate simple random selection under probability sampling, and
the response rate was 57%. The Statistical Package for the Social Sciences (SPSS)
22.0 was utilised to analyse quantitative data and generate descriptive statistics in the
form of tables and graphs. ATLAS.ti 22 was utilised to extract, categorize, and link
data segments from interviews with eleven participants and documents to discover
patterns and themes.
The study