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Methodology for applying artificial intelligence technologies to improve the effectiveness of strategic planning for technological development in the country's regions

https://doi.org/10.21869/2223-1552-2025-15-6-77-94

Abstract

Relevance. Artificial intelligence technologies have been rapidly developing in recent years in the practice of strategic planning for economic systems. Their purpose is to ensure the security and protection of large data sets, automate routine tasks, and much more. The use of artificial intelligence technologies has been identified as a strategic tool for the development of complex regional economic systems.

The purpose of the research is to develop methodological guidelines for the use of artificial intelligence technologies in the practice of strategic planning of technological development of regions.

Objectives: to study the theoretical basis of the work, as well as a pool of regulatory regulatory documents that allow assessing the prospects for the use of artificial intelligence technologies in the practice of strategic planning at the regional level; to identify the main problems preventing the use of artificial intelligence technologies for planning the technological development of regions; to develop methodological provisions for the introduction of artificial intelligence technologies into the strategic planning system for the technological development of the region.

Methodology. The research was based on the use of tabular and graphical research methods, general methods of economic analysis (comparison, synthesis, analysis, concretization, etc.), critical analysis techniques, decomposition method, convergence and divergence methods, content analysis, system and mix analysis.

Results. The theoretical approaches to clarifying the concept of "artificial intelligence" are summarized, which made it possible to formulate the author's view on the concept of "artificial intelligence diffusion". The stages of the methodology for introducing artificial intelligence technologies into the system of regional strategic planning of technological development of regions, the purpose, objectives of strategizing, and the main methods of artificial intelligence aimed at automating analytical processes are proposed. The stages of the roadmap for the regions of the Russian Federation are proposed, and a schedule for the introduction of artificial intelligence technologies into the strategic planning system for the technological development of the Kursk region is developed.

Conclusions. The author's proposed methodological basis for the introduction of artificial intelligence technologies for strategic planning of the level of technological development of regions is a platform that can be used at the regional level in the implementation of national projects "Artificial Intelligence" and "Data Economics".

About the Authors

N. A. Kulagina
MIREA-Russian Technological University
Russian Federation

Natalia A. Kulagina, Doctor of Sciences (Economics), Professor, Professor at the Department of Financial Accounting and Control

Researcher ID: O-5530-2017 

78 Vernadsky Ave., Moscow 119571



I. V. Milgunova
Southwest State University
Russian Federation

Irina V. Milgunova, Candidate of Sciences (Economics), Associate Professor at the Department of Economics, Management and Audit

Researcher ID: OHR-5070-2025 

78 Vernadsky Ave., Moscow 119571

 



G. V. Fisenko
MIREA-Russian Technological University
Russian Federation

Gennady V. Fisenko, Applicant at the Department of Financial Accounting and Control 

78 Vernadsky Ave., Moscow 119571



References

1. Golova I.M. Scientific and Technical Potential of Regions as the Basis for Technological Independence of the Russian Federation. Ekonomika regiona = Regional Economy. 2022;18(4):1062‒1074. (In Russ.)

2. Sukharev O.S. Innovative Dynamics of Russia: Status and Prospects. Ekonomist = Economist. 2020;(7):70-85. (In Russ.)

3. Zolotukhina A.V. Scientific and technical passport of a region as an instrument of state policy. Nauka Krasnoyar'ya = Science of Krasnoyarsk. 2016;5(1):71-89. (In Russ.)

4. Basova E.A. Digital inequality of Russian regions: current problems and ways to overcome it. Voprosy territorial'nogo razvitiya = Issues of Territorial Development. 2021;9(4):1–17. (In Russ.)

5. Bessonova E.A., Lopatina N.D. Prospects and trends in the digitalization of project management in the region. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management. 2024;14(1):20–33. (In Russ.)

6. Bessonova E.A., Lopatina N.D. Formation of the investment potential of border regions in the sustainable development of socio-economic complexes. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management. 2025;15(4):87-99. (In Russ.)

7. Preobrazhensky B.G., Salnikova A.A. Concept and technological practices of «electronic government». Region: sistemy, ekonomika, upravlenie = Region: Systems, Economy, Management. 2022;(3):137-146. (In Russ.)

8. Buravlev A.I., Vetoshkin V.M. Artificial intelligence: essence, principles of operation, areas of application. Vooruzhenie i ekonomika = Armament and Economics. 2024;(2):33-42. (In Russ.)

9. Ponkin I.V., Redkina A.I. Artificial Intelligence from a Legal Perspective. Vestnik RUDN. Seriya: Yuridicheskie nauki = Bulletin of the RUDN University. Series: Legal Sciences. 2018;(1):91-109. (In Russ.)

10. Yeshtokin S.V. End-to-end technologies of the digital economy as a factor in shaping the country's technological sovereignty. Voprosy innovatsionnoi ekonomiki = Issues of Innovation Economics. 2020;12(3):1301–1314. (In Russ.)

11. Akberdina V.V., Naumov I.V., Krasnykh S.S. Digital space of the regions of the Russian Federation: assessment of development factors and mutual influence on socio-economic growth. Journal of Applied Economic Research. 2023;22(2):294–322. (In Russ.)

12. Gladkova A.A., Garifullin V.Z., Ragnedda M. A Model of Three Levels of Digital Inequality: Current Opportunities and Limitations (Based on a Study of the Republic of Tatarstan). Vestnik Moskovskogo universiteta. Seriya 10: Zhurnalistika = Bulletin of Moscow University. Series. 10: Journalism. 2019;(4):41–72. (In Russ.)

13. Dobrinskaya D.E., Martynenko T.S. Prospects for the Russian Information Society: Levels of the Digital Divide. Vestnik RUDN. Seriya: Sotsiologiya = Bulletin of the RUDN University. Series: Sociology. 19(1):108–120. (In Russ.) https://doi.org/10.22363/2313-2272-2019-19-1-108-120

14. Kvasnikova M.A. Digital Inequality and Its Impact on the Socioeconomic Development of Regions in Russia. Sotsial'no-politicheskie issledovaniya = Socio-Political Studies. 2020;(1):43–58. (In Russ.)

15. Derevtsova I.V., Vnukova Ya.A., Golovashchenko E.A., Denisevich D.D. The Problem of Digital Inequality in Russian Regions as a Threat to Economic Security. Baikal Research Journal. 2021;12(2):1–11. (In Russ.)

16. Gruzdeva M.A. Inclusion of the Population in the Digital Space: Global Trends and Inequality of Russian Regions. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz = Economic and Social Changes: Facts, Trends, Forecast. 2020;13(5):90–104. (In Russ.)

17. Varlamova Yu.A., Korneichenko E.N. Artificial intelligence in Russian regions. Russian Journal of Economics and Law. 2024;18(3):641–662. (In Russ.)


Review

For citations:


Kulagina N.A., Milgunova I.V., Fisenko G.V. Methodology for applying artificial intelligence technologies to improve the effectiveness of strategic planning for technological development in the country's regions. Proceedings of the Southwest State University. Series: Economics. Sociology. Management. 2025;15(6):77-94. (In Russ.) https://doi.org/10.21869/2223-1552-2025-15-6-77-94

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ISSN 2223-1552 (Print)