Modeling of labor potential of Ukraine: formation of knowledge base

• Autorzy: Zayukov Ivan V. , Kobylianska Iryna M. , Kobylianskyi Oleksandr V. , Dembitska Sofia V.

Identyfikatory

DOI

10.35784/iapgos.3040

Warianty tytułu

PL

Modelowanie potencjału siły roboczej Ukrainy:budowanie bazy wiedzy

• Języki publikacji: EN

Abstrakty

EN

The adaptation of the Ukrainian economy to the requirements of the European Union requires increasing the effectiveness of the system of making public management decisions regarding the development and assessment of the labor potential of our country. Currently, a unified system of evaluation indicators of the labor potential of Ukraine has not yet been developed. The authors substantiated and systematized the groups of medicodemographic, socio-economic and educational factors that affect the health of the employed population, and suggested the use of the "preserving the health of the employed population" indicator for assessing the labor potential. Accordingly, a mathematical model for evaluating the health of the employed population at the macro level is proposed, which is based on the theory of fuzzy logic. The application of the proposed model will make it possible to increase the efficiency of the system of public management decision-making in the process of developing concepts, strategies, and practical measures for the implementation of policies for the preservation of the health of the employed population, as well as to make timely adjustments during implementation, which should positively reflect on the steady growth of the index human development (HDI).

PL

Dostosowanie gospodarki ukraińskiej do wymogów Unii Europejskiej wymaga zwiększenia efektywności systemu podejmowania decyzji z zakresu zarządzania publicznego dotyczących rozwoju i oceny potencjału pracy kraju. Obecnie nie został jeszcze opracowany jednolity system wskaźników oceny potencjału pracy Ukrainy. Autorzy uzasadnili i usystematyzowali grupy medyczno-demograficznych, społeczno-ekonomicznych i edukacyjnych czynników, które wpływają na zdrowie populacji zatrudnionych, i zaproponowali wykorzystanie wskaźnika "zachowanie zdrowia populacji zatrudnionych" do oceny potencjału pracy. W związku z tym zaproponowano model matematyczny oceny stanu zdrowia populacji zatrudnionych na poziomie makro, który opiera się na teorii logiki rozmytej. Zastosowanie proponowanego modelu umożliwi zwiększenie efektywności systemu podejmowania decyzji w zarządzaniu publicznym w procesie opracowywania koncepcji, strategii i praktycznych środków realizacji polityki zachowania zdrowia populacji zatrudnionych, a także dokonywania terminowych korekt w trakcie realizacji, co powinno pozytywnie wpłynąć na stały wzrost wskaźnika rozwoju społecznego (HDI).

Słowa kluczowe

EN

labor potential; knowledge base; evaluation terms; factors; modeling; fuzzy logic

PL

potencjał pracy; baza wiedzy; warunki oceny; czynniki; modelowanie; logika rozmyta

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2022
• Tom: T. 12, nr 3
• Strony: 74--78
• Opis fizyczny: Bibliogr. 27 poz., tab., wykr.

Twórcy

autor

Zayukov Ivan V.

• Vinnytsia National Technical University, Faculty of Information Technologies and Computer Engineering, Vinnytsia, Ukraine

• https://orcid.org/0000%E2%88%920002%E2%88%927225%E2%88%922827

autor

Kobylianska Iryna M.

• Vinnytsia National Technical University, Faculty of Information Technologies and Computer Engineering, Vinnytsia, Ukraine

• https://orcid.org/0000-0002-3430-5879

autor

Kobylianskyi Oleksandr V.

• Vinnytsia National Technical University, Faculty of Information Technologies and Computer Engineering, Vinnytsia, Ukraine

• https://orcid.org/0000-0002%E2%88%929724-1470

autor

Dembitska Sofia V.

• Vinnytsia National Technical University, Faculty of Information Technologies and Computer Engineering, Vinnytsia, Ukraine

• https://orcid.org/0000-0002-2005-6744+

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).