A Case Study on Graphically Modelling and Detecting Knowledge Mobility Risks

Mark Micallef, Christian Colombo


As the world continues to increasingly depend on a knowledge economy, companies are realising that their most valuable asset is knowledge held by their employees. This asset is hard to track, manage and retain especially in a situation where employees are free to job-hop for better pay after providing a few weeks’ notice to their employers. In previous work we have defined the concept of knowledge risk, and presented a graph-based approach for detecting it. In this paper, we present the results of a case study which employs knowledge graphs in the context of four software development teams.

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DOI: http://dx.doi.org/10.14279/tuj.eceasst.58.858

DOI (PDF): http://dx.doi.org/10.14279/tuj.eceasst.58.858.852

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