The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence
https://doi.org/10.17073/2072-1633-2024-3-1316
Abstract
The resource support of any developed strategy according to the chosen priorities is one of the most important stages of its formation and implementation. The solution of this task affects the dynamics of development of the economy’s high technology industries as the objects of strategizing in the emerging digital economy. One of the priority technological vectors of development of Russia is the sphere of artificial intelligence (AI), and so there arises the problem of the resource support of this direction. The purpose of the article is to study staffing as one of the key factors of strategic development of the Russian AI sphere in the industry context. The analysis is based on the methodology of strategizing by Professor V.L. Kvint and the concept of strategic human resources management by Doctor I.V. Novikova. The calculations are based on the Russian universities’ data on the number of graduates by educational programs in the AI sphere in 2023 and their employment. During the research the authors found out the number of graduates in the AI sphere by the industry specialization of educational programs; defined the sectoral specifics of employment of the graduates specializing in the AI sphere; identified the key employment organizations and jobs. The authors made conclusions about resource support of the AI development strategy in the industry context. The results will be useful for correcting the developed strategies in the AI sphere and for predicting staffing provision with the consideration of the time lag in the staff training.
About the Authors
A. O. AveryanovRussian Federation
Aleksandr O. Averyanov – Postgraduate Student, Leading Specialist
33 Lenin Str., Petrozavodsk, Republic of Karelia 185910
V. A. Gurtov
Russian Federation
Valery A. Gurtov – Dr.Sci. (Phys.-Math.), Professor
33 Lenin Str., Petrozavodsk, Republic of Karelia 185910
S. V. Shabaeva
Russian Federation
Svetlana V. Shabaeva – Dr.Sci. (Econ.), Professor of the Department of Finance, Financial Law, Economics and Accounting, Chief Researcher, Department of Scientific Research
33 Lenin Str., Petrozavodsk, Republic of Karelia 185910
References
1. Kvint V.L., Novikova I.V., Alimuradov M.K., Sasaev N.I. Strategizing the national economy during a period of burgeoning technological sovereignty. Administrative Consulting. 2022;(9):57–67. (In Russ.). https://doi.org/10.22394/1726-1139-2022-9-57-67
2. Li K. AI superpowers: China, Silicon Valley, and the new world order. Boston; New York: Houghton Mifflin Harcourt, 2021. 272 p.
3. Квинт В.Л. Концепция стратегирования. В 2-х т. СПб.: СЗИУ РАНХиГС; 2019. Т. 1132 с.
4. Novikova I.V. Strategizing of the human resources development: main elements and stages. Strategizing: Theory and Practice. 2021;1(1):57–65. (In Russ.). https://doi.org/10.21603/2782-2435-2021-1-1-57-65
5. Новикова И.В. Концепция стратегии занятости населения в цифровой экономике. Под науч. ред. В.Л. Квинта. Кемерово: КемГУ; 2020. 256 с. https://doi.org/10.21603/978-5-8353-2609-9
6. Okrepilov V.S., Mkrtchyan T.R. Transformation of Rynkov’s works and education in the conditions of digitalization. Sovremennoe obrazovanie: tradicii i innovacii. 2022;(2):108–111. (In Russ.). https://doi.org/10.51623/23132027_222_108
7. Boykova A.V., Konakova L.V. Problems of training for the digital economy. Ekonomika i predprinimatel’stvo = Economics and Entrepreneurship. 2022;(4(141)):1236–1239. (In Russ.). https://doi.org/10.34925/EIP.2022.141.4.230
8. Provotorov D.A., Belova I.N. Digitization of the economy: problems and risks. Finansovyi biznes. 2023;(1(235)):104–107. (In Russ.)
9. Russell S., Norvig P. Artificial intelligence: A modern approach. Hoboken: Pearson; 2020. 1136 p.
10. Sutton R.S., Barto A.G. Reinforcement learning: An introduction. Cambridge; Massachusetts: Bradford Books; 2018. 552 p. 11. Araz Z., Syed I.A., Islam N. Worker and workplace artificial intelligence (AI) coexistence: emerging themes and research agenda. Technovation. 2023;124:102747. https://doi.org/10.1016/j.technovation.2023.102747
11. Willcocks L. Robo-Apocalypse cancelled? Reframing the automation and future of work debate. Journal of Information Technology. 2020;35(4):286–302. https://doi.org/10.1177/0268396220925830
12. Trofimov V.V. Artificial intelligence in the digital economy. Izvestiya Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta. 2019;(4(118)):105–109. (In Russ.)
13. Gurtov V.A., Averyanov A.O., Korzun D.Zh., Smirnov N.V. A system for classification of technologies in the field of artificial intelligence for personnel forecasting. Economic and Social Changes: Facts, Trends, Forecast. 2022;15(3):113–133. (In Russ.). https://doi.org/10.15838/esc.2022.3.81.6
14. Sokolov I.A. Theory and practice in artificial intelligence. Vestnik Rossijskoj Akademii nauk. 2019;89(4):365–370. (In Russ.). https://doi.org/10.31857/S0869-5873894365-370
15. Новикова И.В. Cтратегическое развитие трудовых ресурсов Дальнего Востока России. М.: Креативная экономика. 2019; 158 с. https://doi.org/10.18334/9785912922756
16. Шацкая И.В. Концепция стратегического управления кадровым обеспечением инновационного развития России. Под науч. ред. В.Л. Квинта. СПб.: ИПЦ СЗИУ РАНХиГС; 2021. 340 с.
17. Solovyov V.P., Pereskokova T.A. Engineering personnel for the new economy. Russian Journal of Industrial Economics. 2022;15(3):380–392. (In Russ.). https://doi.org/10.17073/2072-1633-2022-3-380-392
18. Трудоустройство выпускников: методология, мониторинг и анализ. Под ред. А.В. Воронина, В.А. Гуртова, Л.М. Серовой. М.: Экономика; 2015. 372 с.
19. Bodrunov S.D. Information and digital technology as the basis for technologic component of the new economic growth model. Nauchnye trudy Vol’nogo ekonomicheskogo obshchestva Rossii = Scientific Works оf the Free Economic Society of Russia. 2017;207(5):317–328. (In Russ.)
20. Bukhanovskiy A.V. National center for cognitive research: artificial intelligence in the service of professional activity. Innovatsii = Innovations. 2019;(11(253)):105–111. (In Russ.). https://doi.org/10.26310/2071-3010.2019.253.11.012
Review
For citations:
Averyanov A.O., Gurtov V.A., Shabaeva S.V. The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence. Russian Journal of Industrial Economics. 2024;17(3):279-290. (In Russ.) https://doi.org/10.17073/2072-1633-2024-3-1316