APPLICATION OF KNOWLEDGE NETWORK ANALYSIS TO IDENTIFY KNOWLEDGE SHARING BOTTLENECKS AT AN
SVM HeaderParse 0.2
The knowledge of an organization’s employees is a valuable asset. Therefore organizations should ensure that their employees share their knowledge among each other. Knowledge exchanges between employees can be modelled as a network of relationships. To study these networks we have developed the Knowledge Network Analysis technique, which is based on Social Network Analysis and supports visual as well as quantitative analysis of knowledge networks. The goal of this technique is to identify bottlenecks in knowledge sharing in a particular knowledge area. In this paper we present the results of the application of Knowledge Network Analysis in an explorative case study. The goal of the case study is to explore the usefulness of Knowledge Network Analysis in identifying knowledge sharing bottlenecks. The case study results in a deeper understanding of how to translate the characteristics of the knowledge network and the employees in this network to the context of the case study organization. Moreover, the case study results have also been used to formulate recommendations to improve knowledge sharing at the case study organization.