JUCS - Journal of Universal Computer Science 10(6): 691-701, doi: 10.3217/jucs-010-06-0691
SELaKT - Social Network Analysis as a Method for Expert Localisation and Sustainable Knowledge Transfer
expand article infoTobias Mueller-Prothmann, Ina Finke§
‡ Free University Berlin, Berlin, Germany§ Fraunhofer IPK, Institute for Production Systems and Design Technology, Berlin, Germany
Open Access
In many organisations, conservation of specialised expertise is picked out as a central theme only after experienced members have already left. The paper presents the SELaKT method, a method for Sustainable Expert Localisation and Knowledge T ransfer based on social network analysis (SNA). It has been developed during a project co-operation between the Department of Information Science at the Institute for Media and Communication Studies, Free University Berlin, and the Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin. The SELaKT method uses recent insights into network analysis and pragmatically adapts SNA to suit organisational practice. Thus it provides a strategic tool to localise experts, to identify knowledge communities and to analyse the structure of knowledge flows within and between organisations. The SELaKT method shows its advances and increasing relevance for practical use by integration of specific organisational conditions and requirements into the process of analysis.
knowledge networks, collaboration, communities of practice, expert localisation, distributed knowledge management, knowledge sharing, social network analysis, sustainability, strategies, implementation, applied research