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Dynamic approach to finding solutions on in-demand professions. Part 1

https://doi.org/10.18184/2079-4665.2025.16.4.610-624

Abstract

Purpose: to develop a dynamic approach to substantiating management decisions for in-demand professions. The first part of the article presents a discourse and content analysis of the frequency approach to finding solutions for in-demand professions.
Methods: this research is based on content analysis of scientific literature, regulatory, legal and official reference materials that relate to theories, methodologies and sources of justification of managerial decisions about in-demand professions. In the analysis and evaluation of mental decision schemes for the development and application of registries of in-demand professions, the dialectical method and discourse analysis are decisive.
Results: the types, characteristics and functional purpose of the profession’s registers for substantiating management decisions on in-demand professions are considered. The key reasons for encouraging the decision makers to use various registers of professions as alternatives to the truth of information sources about professions are revealed. The methodological function of dialectics in the search for solutions for the selection, hiring and employment of workers with the use of in-demand professions registries as true sources of knowledge is explained. The mechanism of the true supply and demand conditions formation at the labour market with professions of any demand is shown. The dilemma of demand and vacancies in the search for the truth of solutions for in-demand professions is investigated. The tools of the frequency approach to the search for in-demand professions solutions are characterized.
Conclusions and Relevance: the dominance of the frequency approach has been revealed in the search for solutions on in-demand professions. It has been established that the frequency approach does not fully satisfy the analytical needs of the decision makers for the management of in-demand professions. It is necessary to supplement the tools of the frequency approach with innovative tools for finding solutions on in-demand professions that are more appropriate to the market nature of the labour need.

About the Authors

L. A. Zhigun
Financial University under the Government of the Russian Federation
Russian Federation

Leonid A. Zhigun, Doctor of Economic Sciences, Professor; Professor of the Department of Psychology and Human Capital Development; Professor of the Department of State and Municipal Management, Plekhanov Russian University of Economics

Researcher ID: J-5555-2018, Scopus ID: 57218951855 

Moscow 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



M. V. Polevaya
Financial University under the Government of the Russian Federation
Russian Federation

Marina V. Polevaya, Doctor of Economic Sciences, Associate Professor, Head of the Department of Psychology and Human Capital Development

Researcher ID: M-9664-2018, Scopus ID: 1576627120 

Moscow 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



E. V. Kamneva
Financial University under the Government of the Russian Federation
Russian Federation

Elena V. Kamneva, Candidate of Psychological Sciences, Associate Professor, Associate Professor of the Department of Psychology and Human Capital Development

Scopus ID: 57195905062 

Moscow 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



S. Zappala
University of Bologna
Italy

Salvatore Zappala, Ph.D.; Associate Professor of the Department of Psychology 

Scopus ID: 56546615500 

Bologna 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



V. I. Dzhuma
All-Russia Scientific Research Institute of Labour
Russian Federation

Vladimir I. Dzhuma, Director of the Center for Digital Transformation and Data Analysis 

Moscow 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



References

1. Kikot V.Y., Gryadovoi D.I. The estimative technologies of the decision-making. Vestnik of Moscow University of the Ministry of Internal Affairs of Russia. 2009; (11):13–16. EDN: https://elibrary.ru/lgkngd (In Russ.)

2. Kravchenko T.K., Perikov Yu.A., Shcherbinin O.P. Features of using ordinal scales to set estimates of experts' preferences in the process of making economic decisions. Actual issues of modern science. 2011; (20):272–280. EDN: https://elibrary.ru/rdjzhn (In Russ.)

3. Klimenko I.S., Palkin E.A. To the problem of measuring risk in the process of selecting managerial decisions. Vestnik of Russian New University. Series: Complex systems: models, analysis and management. 2023; (2):113–120. EDN: https://elibrary.ru/zcvtrl. https://doi.org/10.18137/RNU.V9187.23.02.P.113 (In Russ.)

4. Ryabova T.V. Scale of assessment of the features of systemic decision-making. Education and self-development. 2010; (3(19)):145–150. EDN: https://elibrary.ru/pbabod (In Russ.)

5. Serenkov P.S., Romanchuk V.M., Gurevich V.L., Yanushkevich A.V. An integrated approach to identification and scaling of factor space. Methods of Quality Management. 2013; (6):30–37. EDN: https://elibrary.ru/qcsfhl (In Russ.)

6. Bilal A. Theories of job loss, job finding and vacancies in the cross-section of locations: a response to Kuhn et al. (2021). Harvard University, NBER and CEPR, 2022. 5 p. URL: https://www.sas.upenn.edu/~manovski/papers/AB/Bilal_Critique_of_KMQ_09_01_22.pdf (accessed: 22.08.2024) (In Eng.)

7. Evans D., Mason C., Chen H., Reeson A. An algorithm for predicting job vacancies using online job postings in Australia. Humanities and Social Sciences Communications. 2023; 10:102. https://doi.org/10.1057/s41599-023-01562-9 (In Eng.)

8. Voloshina I.A., Kozlova L.V., Novikov P.N. The model of revealing the demand for professions: key parameters and some features. Social and labor research. 2019; (4(37)):106–119. EDN: https://elibrary.ru/doppgz. https://doi.org/10.34022/2658-3712-2019-37-4-106-119 (In Russ.)

9. Voloshina I.A., Savina N.M., Kozlova L.V. Top-50 professions in demand requiring a secondary vocational education: experience of application and approaches to update. Federalism. 2020; 25(4(100)):189–199. EDN: https://elibrary.ru/ufeoll. https://doi.org/10.21686/2073-1051-2020-4-189-199 (In Russ.)

10. Blair P.Q., Deming D.J. Structural increases in demand for skill after the Great recession. AEA Papers and Proceedings. 2020; 110:362–365. https://doi.org/10.1257/pandp.20201064 (In Eng.)

11. Kostalova Z., Lyócsa S., Stefanik M. Online job vacancy attractiveness: increasing views, reactions and conversions. Electronic Commerce Research and Applications. 2022; 55:101192. https://doi.org/10.1016/j.elerap.2022.101192 (In Eng.)

12. Voloshina I.A., Novikov P.N., Savina N.M., Tkhorzhevskaya A.R. Monitoring system of demanded professions in the subjects of the Russian Federation: theoretical foundations and practical implementation. Monograph. Moscow: “Pero” Publishing House, 2023. 232 p. EDN: https://elibrary.ru/fbckjb (In Russ.)

13. Voloshina I.A., Savina N.M., Mukhina I.I. Determination of professions in demand for certain categories of workers: methodology and results. Social and labor research. 2023; (3(52)):138–152. EDN: https://elibrary.ru/pgmjgw. https://doi.org/10.34022/2658-3712-2023-52-3-138-152 (In Russ.)

14. Turpin S.D., Marais M.А. Decision-making: theory and practice. ORiON. 2004; 20(2):143–160. https://doi.org/10.5784/20-2-12 (In Eng.)

15. Kurdoglu R.S., Islam G. Eristic legitimation of controversial managerial decisions. Journal of Management Studies. 2024; 61(7):3260–3294. https://doi.org/10.1111/joms.13008 (In Eng.)

16. Kruse S., Bendig D., Brettel M. How Does CEO Decision Style Influence Firm Performance? The Mediating Role of Speed and Innovativeness in New Product Development. Journal of Management Studies. 2023; 60(5):1205–1235. https://doi.org/10.1111/joms.12913 (In Eng.)

17. Aghdas Tinat J., Pourfaraj A.R., Karimi Moughari Z. Integrated nature of decision making: a cognitive and behavioral analysis: "optimization" and "institutional decision making". Journal of Iran's Economic Essays: an Islamic Approach "Jostārhā-ye Eghtesādi bā Ruykard-e Eslāmi". 2019; 16(32):121–147. https://doi.org/10.30471/iee.2020.4717.1676 (In Pers.)

18. Carlsson M., Eriksson S., Gottfries N. Testing theories of job creation: does supply create its own demand? In: IZA Discussion Paper Series. Bonn: Institute of Labor Economics, 2006. Vol. 2024. 26 p. https://doi.org/10.2139/ssrn.887303 (In Eng.)

19. Farm A. A theory of vacancies. In: Working paper Series. Stockholm: Swedish Institute for Social Research (SOFI), 2005. Vol. 1. 27 p. URL: https://www.su.se/polopoly_fs/1.65046.1323949624!/WP05no1.pdf (accessed: 05.09.2024) (In Eng.)

20. Holt C.C., David M.H. The concept of job vacancies in a dynamic theory of the labor market. In: The Measurement and Interpretation of Job Vacancies. NBER Chapters. Massachusetts: National Bureau of Economic Research, 1966. P. 73–110. URL: https://www.nber.org/system/files/chapters/c1599/c1599.pdf (accessed: 05.09.2024) (In Eng.)

21. Shovkhalova Z.S., Magomedov I.A. The impact of information technologies on the transformation of demand for professions. Economics: yesterday, today and tomorrow. 2020; 10(9-1):33–37. EDN: https://elibrary.ru/pqtcop. https://doi.org/10.34670/AR.2020.86.69.003 (In Russ.)

22. Acemoglu D., Autor D., Hazell J., Restrepo P. Artificial intelligence and jobs: evidence from online vacancies. Journal of Labor Economics. 2022; 40(S1):S293–S340. https://doi.org/10.1086/718327 (In Eng.)

23. Zaichenko N.A. The economy and labor market drivers which create a demand for labor professions. In collection: Economic development in an unstable international political situation. Saint Petersburg: Saint Petersburg State University of Aerospace Instrumentation, 2016. P. 95–102. EDN: https://www.elibrary.ru/wtappn (In Russ.)

24. Antipyev A.G., Volegov V.S. Structure of demand for professional (based on content analysis of the board in Perm). Perm University Herald. Series Philosophy. Psychology. Sociology. 2011; (4(8)):107–114. EDN: https://www.elibrary.ru/oqrcmd (In Russ.)

25. Franz W., Smolny W. The measurement and interpretation of vacancy data and the dynamics of the Beveridge-curve: the German case. In: Working Paper. Konstanz: Diskussionspapier, 1993. Vol. 4. 30 p. https://doi.org/10419/92441 (In Eng.)

26. Korovkin A.G., Dolgova I.N., Korolev I.B., Sinitsa A.L. Assessment of tension in the labor market: regional and sectoral aspects. Scientific works: Institute of National Economic Forecasting of the Russian Academy of Sciences. 2020; (18):449–465. EDN: https://elibrary.ru/tqctta. https://doi.org/10.47711/2076-318-2020-449-465 (In Russ.)

27. Zabelina O.V., Mirzabalaeva F.I., Sankova L.V. Regional transformation of the labour market tension: new vectors. Leadership and management. 2022; 9(1):137–160. EDN: https://elibrary.ru/frekbt. https://doi.org/10.18334/lim.9.1.114287 (In Russ.)

28. Syupova M.S., Khalikova S.S. Labor market tension as an indicator of economic security of the region. Power and Administration in the East of Russia. 2023; (1(102)):70–78. EDN: https://elibrary.ru/dqpwdx. https://doi.org/10.22394/1818-4049-2023-102-1-70-78 (In Russ.)


Review

For citations:


Zhigun L.A., Polevaya M.V., Kamneva E.V., Zappala S., Dzhuma V.I. Dynamic approach to finding solutions on in-demand professions. Part 1. MIR (Modernization. Innovation. Research). 2025;16(4):610-624. (In Russ.) https://doi.org/10.18184/2079-4665.2025.16.4.610-624

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ISSN 2079-4665 (Print)
ISSN 2411-796X (Online)