The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence

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.

Authors

Institutions

Publication Details

Journal
Russian Journal of Industrial Economics
Published
2024-09-02
DOI
https://doi.org/10.17073/2072-1633-2024-3-1316
Citations
3
Primary Topic
Regional Economic Development and Innovation
Type
article
Field-Weighted Citation Impact
1.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence

V. A. Gurtov, A. О. Averyanov, S. V. Shabaeva
3 citations
Russian Journal of Industrial Economics
Regional Economic Development and Innovation
1.66
article

The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence

V. A. Gurtov, A. О. Averyanov, S. V. Shabaeva
article en
3 citations

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.

Russian Journal of Industrial EconomicsVol. 17(3)
Petrozavodsk State University (RU)
Openalex Percentile: Top 12%
Regional Economic Development and Innovation
1.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.