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Mitigating Risks for Effective Personnel Management in the Organization of the Energy Sector due to the COVID-19 Pandemic

Author

Listed:
  • Nazar Podolchak

    (Administrative and Financial Management Department, Lviv Polytechnic National University, 79000 Lviv, Ukraine)

  • Volodymyr Martyniuk

    (Administrative and Financial Management Department, Lviv Polytechnic National University, 79000 Lviv, Ukraine
    Administration & Social Sciences Faculty, University of Economics and Innovation in Lublin, 20-209 Lublin, Poland)

  • Natalia Tsygylyk

    (Administrative and Financial Management Department, Lviv Polytechnic National University, 79000 Lviv, Ukraine)

  • Stanislaw Skowron

    (Department of Strategy and Business Planning, Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland)

  • Tomasz Wołowiec

    (Institute of Public Administration and Business, University of Economy and Innovation in Lublin, 20-209 Lublin, Poland)

Abstract

One of the three most important components of the effective work of an organization or enterprise in the energy sector is properly organized staff work. Thus, all the risks arising in this process should be given proper consideration. Conventional methods can hardly be of any assistance, which is why this paper proposes the innovative rapidly adaptive model for the evaluation of existing risks and the forecasting of emerging ones due to the COVID-19 pandemic in modern personnel management. The model employs a probability theory and applies it to four major risk groups, which are related to many factors. It also describes the methods of mitigating these risks. This made it possible to improve personnel management efficiency, thus offsetting the adverse consequences of the COVID-19 pandemic.

Suggested Citation

  • Nazar Podolchak & Volodymyr Martyniuk & Natalia Tsygylyk & Stanislaw Skowron & Tomasz Wołowiec, 2022. "Mitigating Risks for Effective Personnel Management in the Organization of the Energy Sector due to the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(16), pages 1-11, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10055-:d:887806
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    References listed on IDEAS

    as
    1. Volodymyr Martyniuk & Natalia Tsygylyk & Stanisław Skowron, 2021. "The Impact of the Covid-19 Pandemic on Key Indicators of Personnel Security: A Study with Neural Network Technologies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 141-151.
    2. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    3. repec:ers:journl:v:xxiv:y:2021:i:special2:p:141-151 is not listed on IDEAS
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