Ukraine labour potential modelling based on using the theory of unclear logic
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- Category: Content №3 2023
- Last Updated on 27 June 2023
- Published on 30 November -0001
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Authors:
I.V.Zayukov*, orcid.org/0000-0002-7225-2827, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
N.M.Makhnachova, orcid.org/0000-0003-4634-2009, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
H.V.Ivanchenko, orcid.org/0000-0002-5654-1514, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
I.Y.Semeniuk, orcid.org/0000-0002-9211-4907, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (3): 177 - 183
https://doi.org/10.33271/nvngu/2023-3/177
Abstract:
Purpose. To develop an effective approach to assessing the labour potential of Ukraine.
Methodology. The research method is mathematical modelling based on the use of the “theory of fuzzy logic”.
Findings. The factors influencing the labour potential of Ukraine are summarized and systematized, which are grouped into three groups: medical-demographic, socio-economic, and behavioural ones. The modelling algorithm is generalized and the linguistic variables that characterize the comprehensive assessment of the level of labour potential of Ukraine are proposed. A tree of logical conclusions of hierarchical relationships of factors with selected terms for evaluating the labour potential of Ukraine was built. Statistical data for Ukraine and 21 countries that are part of the EU is summarized, that made it possible to estimate the level of labour potential (R) for strategic partner countries ‒ Poland and Ukraine, which are 6.4 and 5.95, respectively. Recommendations are offered as for the development of the labour potential of Ukraine.
Originality. The scientific novelty of the study is the development of a theoretical-methodological approach to the assessment of the labour potential of Ukraine, which allows comprehensively taking into account the system of fuzzy terms, to evaluate the medical-demographic, socio-economic and behavioural factors of influence on the labour potential of Ukraine based on the use of the theory of fuzzy logic. That, in turn, will allow increasing the effectiveness of the management decision-making system in the direction of improving all components that form the labour potential.
Practical value. The importance of assessing labour potential for Ukraine lies in many aspects, the main ones are the following: increasing the efficiency of state administration in the field of labour potential formation; timely identification of problems, determination of the state and formation of strategic prospects for its development, which will allow accelerating the process of Ukraine’s transition from a candidate for EU membership to an EU member and revive the economy, that is currently based on the military rails.
Keywords: model, labour potential, assessment, theory of fuzzy logic
References:
1. Pyrozhkov, S. I. (2022). National Resilience of Ukraine: Strategy Implementation. Ukrainian Geographical Journal, 2, 3-10. https://doi.org/10.15407/ugz2022.02.003.
2. Bondarevska, K., & Doronina, O. (2022). Strategizing social security in the labor market in the context of transformation of key threats. Baltic Jornal of Economic Studies, 8(3), 27-35. https://doi.org/10.30525/2256-0742/2022-8-3-27-35.
3. Libanova, E. M., Makarova, O. V., & Sarioglo, V. G. (2020). Activation policy as an investment in human capital: theory and practice. Science and Innovation, 16(5), 52-62. https://doi.org/10.15407/scine16.05.052.
4. Libanova, E. M. (2019). Labor migration from Ukraine: key features, drivers and impact. Economics & Sociology, 12(1), 313-328. https://doi.org/10.14254/2071-789X. 2019/12-1/19.
5. Cohen, E. (2017). Effect of welfare and employment policies on the correlation between migration and unemployment. Economics & Sociology, 10(1), 246. https://doi.org/10.14254/2071-789X.2017/10-1/18.
6. Mishchuk, H., Roshchyk, I., Sulkowska, J., & Vojtovic, S. (2019). Prospects of assessing the impact of external student migration on restoring country’s intellectual potential (the case study of Ukraine). Economics & Sociology, 3, 209-219. https://doi.org/10.14254/2071-789X.2019/12-3/14.
7. Shaulska, L., Yakymova, N., & Krymova, M. (2020). Innovative Employment in the Structure of the Modern Labor Market. European Journal of Transformation Studies, 8(1), 79-92. Retrieved from https://czasopisma.bg.ug.edu.pl/index.php/journal-transformation/article/view/4998.
8. Koshkalda, I., Kniaz, O., Ryasnyanska, A., & Velieva, V. (2019). Motivation Mechanism for Stimulating the Labor Potential. Ekonomika ta derzhava, 6(1), 59-63. https://doi.org/10.5430/rwe.v11n4p53.
9. Shostak, L. V., & Petrini, V. A. (2018). Labor potential as a driving force of effective enterprise development. Global and national problems of the economy: electronic professional publication, 21, 450-454. Retrieved from http://global-national.in.ua/archive/21-2018/87.pdf.
10. Migai, N. B. (2017). Monitoring the effectiveness of using the labor potential of the region. Young Scientist, 44(4), 77-81. Retrieved from http://molodyvcheny.in.ua/files/journal/2017/4.4/18.pdf.
11. Novikova, O., Azmuk, N., & Pankova, O. (2022). Assessing Imbalance between Labor Quality and Needs of the Labor Market of Ukraine: Educational Challenges. European Journal of Sustainable Development, 11, 77-86. https://doi.org/10.14207/ejsd.2022.v11n1p77.
12. Navolska, N. V. (2015). Factors influencing the formation and use of labor potential of the enterprise. Global and national problems of the economy: electronic professional publication, 43(7), 426. Retrieved from http://global-national.in.ua/archive/7-2015/93.pdf.
13. Mazur-Vezhbitskaya, E. (2019). Human resources as a fundamental element that determines the development of innovation. Marketing and Innovation Management, 1, 335-356. https://doi.org/10.21272/mmi.2019.1-28.
14. Simonova, M., Kolesnikov, S. D., & Karakova, T. (2018). Assessment of labor potential on the regional level by the index method. MATEC Web of Conferences. Retrieved from http://Assessment of labor potential on the regional level by the index method | MATEC Web of Conferences (matec-conferences.org).
15. Castello-Sirvent, F. (2022). A Fuzzy-Set Qualitative Comparative Analysis of Publications on the Fuzzy Sets Theory. Mathematics, 10(8), 1322. https://doi.org/10.3390/math10081322.
16. Wang, Z., Yang, R., & Zhen, S. (2010). Nonlinear Integrals and Their Applications in Data Mining. ISBN-13 978-981-281-467-8.
17. Hernandez, A., & Hidalgo, D. (2020). Fuxxy Logic in Business, Management and Accounting. Journal of Business and Management, 8(6). https://doi.org/10.4236/ojbm.2020.86157.
18. Kozlovskyi, S., Nikolenko, L., Peresada, O., Pokhyliuk, O., Yatchuk, O., Bolgarova, N., & Kulhanik, O. (2020). Estimation level of public welfare on the basis of methods of intellectual analysis. Global Journal of Environmental Science and Management, 6(3). https://doi.org/10.22034/gjesm.2020.03.06.
19. Kozlovskyi, S., Petrunenko, I., Baidala, V., Myronchuk, V., & Kulinich, T. (2021). Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization. Problems and Perspectives in Management, 19(1), 416-431. https://doi.org/10.21511/ppm.19(1).2021.35.
20. The website of the Organization for Economic Cooperation and Development (2020). Data by theme. Retrieved from https://data.oecd.org/.
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