Applying machine learning to predict staff turnover and maintain competitiveness
https://doi.org/10.53315/2949-1177-2026-5-1-49-64
Abstract
Humanity faces enormous challenges, the solution of which relies on the further implementation of artificial intelligence and the development of digital technologies. At the state level, projects are being adopted to advance digitalization in various areas. It’s worth noting that the development of a new type of digital workforce is considered an important area. All governance institutions, many areas of business, and so on are today impossible without the use of artificial intelligence, machine learning, people data, and big data, which, of course, influence the success of all areas of our society.
About the Authors
S. B. Boldyreva
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Boldyreva S.B., Candidate of Economic Sciences, Associate Professor
Elista
S. N. Marsunov
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Marsunov S.N., Candidate of Pedagogical Sciences, Associate Professor
Elista
G. S. Olykaynen
Level Travel
Russian Federation
Russian Federation
Olykaynen G.S., Senior Manager, Cancellations Department
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Review
For citations:
Boldyreva S.B., Marsunov S.N., Olykaynen G.S. Applying machine learning to predict staff turnover and maintain competitiveness. Economic policy and financial resources. 2026;5(1):49-64. (In Russ.) https://doi.org/10.53315/2949-1177-2026-5-1-49-64
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