Abstract
Expert networks are popular and useful tools for many organizations. They organize the storage and use of information about employees and their skills. Correspondence of the data stored in expert networks to the real experts’ competencies is crucial for project management. Irrelevant information may lead to unexpected project performance results. Analysis of such results can help to keep the information up to date. The approach presented in this paper uses information about the project’s results and its participants’ competencies to change experts’ competencies. The reference model and the algorithm used in the approach are described in this paper.
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Acknowledgment
The presented results are part of the research carried out within the project funded by grant #19-37-90094 of the Russian Foundation for Basic Research. I. Algorithm evaluation has been partly supported by Russian State Research # 0073-2019-0005.
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Petrov, M. (2021). A Human Resources Competence Actualization Approach for Expert Networks. In: Stahlbock, R., Weiss, G.M., Abou-Nasr, M., Yang, CY., Arabnia, H.R., Deligiannidis, L. (eds) Advances in Data Science and Information Engineering. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71704-9_54
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DOI: https://doi.org/10.1007/978-3-030-71704-9_54
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