Revisiting Knowledge Management System Use: Unravelling Interventions that Nurture Knowledge Seeking

Revisiting Knowledge Management System Use: Unravelling Interventions that Nurture Knowledge Seeking

Suchitra Veeravalli, V. Vijayalakshmi
Copyright: © 2022 |Pages: 25
DOI: 10.4018/IJKM.291707
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Abstract

Knowledge Management Systems (KMS) are adopted with the aim of facilitating knowledge flow within the organization. However, it is seen that member participation on these platforms is limited. The objective of this work is to identify aspects that influence intention to seek knowledge on KMS. Antecedents to knowledge seeking behaviour were identified through a morphological review of literature. A conceptual model was proposed based on the Decomposed Theory of Planned Behaviour. Structural Equation Modelling was used to assess the adequacy of the model. Results show that seeking happens when the individual has an intrinsic motivation to learn and when the quality of knowledge available on KMS is perceived as having high content value. Interestingly, we find that top management has no bearing on one’s intention to seek. Findings reveal that HR activities need to identify people management practices, such as hiring people with a curious disposition and promoting seeking as a positive behaviour. KM practices need to focus on stimulating curiosity and learning amongst members.
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Morphological Review Of Literature

Review of literature was undertaken using a morphological approach with the aim of assessing seminal work undertaken in the area and identifying research gaps. The term morphology refers to the study of ‘structure’ or ‘form’. The General Morphological Analysis (GMA) is a qualitative technique that is often adopted by social scientists to categorise and comprehend principal links in complex systems that are not amenable to simplistic quantification (Ritchey, 2013). Morphological analysis can be used to qualitatively understand the effect of a combination of variables in systems that are hard to model quantitatively.

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