1. OAR@UM
  2. Faculty of Information and Communication Technology
  3. Department of Computer Science
  4. Scholarly Works - FacICTCS
Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/30679
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMicallef, Mark
dc.contributor.authorColombo, Christian
dc.date.accessioned2018-05-31T17:25:06Z
dc.date.available2018-05-31T17:25:06Z
dc.date.issued2013
dc.identifier.citationMicallef, M., & Colombo, C. (2013). A case study on graphically modelling and detecting knowledge mobility risks. Electronic Communications of the EASST, 58, 1-14.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/30679
dc.description.abstractAs 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.en_GB
dc.language.isoenen_GB
dc.publisherUniversitatsbibliothek TU Berlinen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectKnowledge representation (Information theory)en_GB
dc.subjectSoftware engineeringen_GB
dc.subjectKnowledge managementen_GB
dc.titleA case study on graphically modelling and detecting knowledge mobility risksen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename12th International Workshop on Graph Transformation and Visual Modeling Techniquesen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.14279/tuj.eceasst.58.858.852
dc.publication.titleElectronic Communications of the EASSTen_GB
Appears in Collections:Scholarly Works - FacICTCS

Files in This Item:
File Description SizeFormat 
A_case_study_on_graphically_modelling_and_detecting_knowledge_mobility_risks.pdf2.99 MBAdobe PDFView/Open
Show simple item record Statistics


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.