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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Identifying organisational and behavioural factors that influence knowledge retention

Martins, Ellen Caroline January 2010 (has links)
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. / Information Science / D. Litt. et Phil. (Information Science)
2

Identifying organisational and behavioural factors that influence knowledge retention

Martins, Ellen Caroline January 2010 (has links)
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. / Information Science / D. Litt. et Phil. (Information Science)

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