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Approach to the Formation and Visualization of the Competency Profile of the Staff of Organizations Using the UGVA Method

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Computational Science and Its Applications – ICCSA 2024 (ICCSA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14814))

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Abstract

Decision support as part of the task of managing the human capital of organizations largely depends on the extent to which the decision-maker possesses the relevant information about summarized characteristics of the employees and departments. Formation of competency profiles of employees and their visualization by Data Mining methods allows to obtain justification for decisions, even if the profession does not have clear standards and evaluation criteria. The paper considers formation of the competency profile model on the example of the research and teaching staff of organizations and visualization of profiles in the form of anthropomorphic images using the method of the Unified Graphic Visualization of Activity (UGVA). The step-by-step formation of images in UGVA notation and the approach to their analysis for decision-making are described. The competency profiles of the staff members of the Applied Physics and Space Technologies department in Siberian Federal University are shown using their activity database. The results of the analysis of the profiles and the identified patterns are presented. The conclusion provides recommendations on the use of UVGA method for visualization of competency profiles in organizations, its prospects and limitations on its use.

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Authors and Affiliations

  1. Siberian Federal University, Zheleznogorsk, Russia

    Viktor Uglev, Michail Kuznetsov & Sergey Meshkov

  2. JSC Information Satellite Systems, Zheleznogorsk, Russia

    Michail Kuznetsov

  3. Mining and Chemical Combine, Zheleznogorsk, Russia

    Sergey Meshkov

Authors
  1. Viktor Uglev
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  2. Michail Kuznetsov
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  3. Sergey Meshkov
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Corresponding author

Correspondence to Viktor Uglev .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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Uglev, V., Kuznetsov, M., Meshkov, S. (2024). Approach to the Formation and Visualization of the Competency Profile of the Staff of Organizations Using the UGVA Method. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024. ICCSA 2024. Lecture Notes in Computer Science, vol 14814. Springer, Cham. https://doi.org/10.1007/978-3-031-64608-9_11

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  • DOI: https://doi.org/10.1007/978-3-031-64608-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-64607-2

  • Online ISBN: 978-3-031-64608-9

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