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Dynamic approach to finding solutions on in-demand professions. Part 2

https://doi.org/10.18184/2079-4665.2026.17.1.23-38

Abstract

Purpose: to develop a dynamics approach to substantiating management decisions for in-demand professions. The second part of the article substantiates a dynamics approach to finding solutions on in-demand professions and proposes to develop a ranking draft of All-Russian Register of in-demand professions of the economic and socio-humanitarian orientation.

Methods: when displaying the relationships of the mental schemas’ elements and processing empirical data on solutions for in-demand professions, methods of formalization, gamma distribution, modeling linear regressions, ranking and grouping were used to build a draft of the ranks register of economic and socio-humanitarian orientated in-demand professions.

Results: a loopy shaped regularity of the in-demand professions changes has been revealed. It has been disclosed that decision makers accept solutions of four types for in-demand professions based on the frequency approach of the vacancy’s ratio to job seekers. The logic and analytical tools of applying a dynamic approach to finding solutions for in-demand professions are set out.

Conclusions and Relevance: at the frequency approach, stochastic transitions of quantitative changes from in-demand professions to qualitative ones (such as ordinary, then ordinary to unclaimed professions and vice versa) follow a loopy shaped regularity. The dynamics of transitions is characterized by the "vacancies" indicator, identified with the concept of "demand" for labour. The decision makers based on "loopy shaped" curve intervals of the in-demand professions take into account four types of solutions based on the ratio of vacancies to job seekers: "outstripping growth" of vacancies; compensation for the outflow of labour by an increase in the supply of vacancies; "stabilization" of vacancies supply; "shortage" of vacancies supply. The emergence of online job search sites, the need for decision makers to improve the efficiency of labour resource management form the modernization prerequisites for the methodology and tools on finding solutions to in-demand professions, including the development of new registries for them.

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 of the All-Russian Scientific Research Institute of Labour

Moscow 


Competing Interests:

The authors declare that there is no Conflict of Interest. 



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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 2. MIR (Modernization. Innovation. Research). 2026;17(1):23-38. (In Russ.) https://doi.org/10.18184/2079-4665.2026.17.1.23-38

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