Harmonising codification and socialisation in knowledge management

Dimitris Apostolou, Andreas Abecker and Gregoris Mentzas

Knowledge Management Research & Practice, 2007, vol. 5, issue 4, 271-285

Abstract: Decision makers process and combine manifold types of data, information and knowledge, available in various forms in the organisation. The aim of knowledge management (KM) is to provide timely and contextual knowledge to decision makers. A comprehensive KM initiative should leverage the wealth of explicit and tacit knowledge residing in an organisation. In this paper, we advance an ontology-based knowledge handling method and tool that aim at harmonising the codification and socialisation approaches to KM. We present the software system that has been developed and then explain how it can be applied in a methodology-driven manner. This is illustrated using the real-world example of a KM initiative in a management consulting company.

Date: 2007
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DOI: 10.1057/palgrave.kmrp.8500156

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