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Identifying organisational and behavioural factors that influence knowledge retention

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dc.contributor.advisor Meyer, Hester en
dc.contributor.author Martins, Ellen Caroline en
dc.date.accessioned 2011-09-14T09:21:17Z
dc.date.available 2011-09-14T09:21:17Z
dc.date.issued 2010-11
dc.date.submitted 2010
dc.identifier.citation Martins, Ellen Caroline (2010) Identifying organisational and behavioural factors that influence knowledge retention, University of South Africa, Pretoria, <http://hdl.handle.net/10500/4753> en
dc.identifier.uri http://hdl.handle.net/10500/4753
dc.description.abstract The wave of knowledge loss that organisations are facing on account of layoffs, retirements, staff turnover and mergers gave rise to this research. The main research aim was to identify the organisational and behavioural factors that could enhance or impede tacit knowledge retention. A multidisciplinary approach focusing on knowledge management, organisational behaviour and organisational development was followed. The nature of knowledge in organisations was explored by following a contextualised theorybuilding process, focusing on epistemology, and the appearance and application of knowledge. Knowledge in the context of this research is the knowledge and experience that reside in the minds of people. It is not easily documented, and is referred to as tacit knowing. A theoretical model was developed that revealed the factors that could influence tacit knowledge retention. The model focused on human input factors taking into account knowledge loss risks, strategic risks and behavioural threats that could cause knowledge loss.The main purpose of the empirical research was to operationalise the theoretically derived knowledge retention constructs, determine statistically the enhancing and impeding factors that influence knowledge retention and develop a structural equation model to verify the theoretical model. A quantitative empirical research paradigm using the survey method was followed. A questionnaire was compiled, and a survey conducted in the water supply industry. The principal component factor analysis postulated nine factors. A composite factor, knowledge retention, as the dependent variable was compiled. The questionnaire was found to be reliable, with a Cronbach alpha coefficient of .975. A structural equation model development strategy produced a new best-fitting knowledge retention model based on the new constructs postulated in the factor analysis. The model indicated that there is a direct causal relationship between strategy implementation and knowledge retention and between knowledge behaviours and knowledge retention. The regression analysis showed that most of the intercorrelations are significant, thus confirming the theory. The research contributed towards a comprehensive understanding of the factors that influence tacit knowledge retention. The questionnaire and the new knowledge retention model could assist organisations in determining the extent to which knowledge is retained and where to focus in developing and implementing a knowledge retention strategy. The study encourages practitioners to take cognisance of the fact that organisations are different and that the enhacing and impeding factors of knowledge retention are to be considered. en
dc.format.extent 1 online resource (xx, 401 leaves) en
dc.language.iso en en
dc.subject Knowledge loss en
dc.subject Knowledge retention en
dc.subject Knowledge attrition en
dc.subject Strategic knowledge loss risks en
dc.subject Knowledge behaviours en
dc.subject Tacit knowledge en
dc.subject Knowledge epistemology en
dc.subject Knowledge construction processes en
dc.subject Cognitive knowledge processes en
dc.subject Principal component factor analysis en
dc.subject Structural equation modelling en
dc.subject Oganisational behaviour en
dc.subject Knowledge management en
dc.subject Organisational development en
dc.subject.ddc 658.4038
dc.subject.lcsh Knowledge management en
dc.subject.lcsh Organizational learning en
dc.title Identifying organisational and behavioural factors that influence knowledge retention en
dc.type Thesis en
dc.description.department Information Science en
dc.description.degree D. Litt. et Phil. (Information Science) en


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