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Improving the efficiency of working with the staff of a geological organization based on artificial intelligence

Abstract

Nowadays, managing any business sector is becoming increasingly complex and requires increasingly precise and predictable decisions. One of the most pressing issues has always been and remains HR. Effective HR management plays a vital role in any organization. In the era of digital transformation, systems, methods, and programs designed to address HR issues are being actively developed. However, to address HR issues, management must manage a large amount of information, which is quite difficult to objectively evaluate. For example, quantitatively assessing the skills, knowledge, abilities, and social status of a colleague within a team is extremely difficult. This article investigates an information system used to improve the economic efficiency of an enterprise's HR management. This information system not only analyzes the current state of an organization's HR potential but also generates recommendations on the need for measures to enhance the enterprise's HR potential. The object of this work is an information system used for managing an enterprise's HR potential based on artificial intelligence.

About the Authors

V. M. Timoshkin
Bryansk State Technical University
Russian Federation

Vitaly M. Timoshkin

specialist in educational and methodical work

Bryansk



V. S. Dadykin
Bryansk State Technical University
Russian Federation

Valery S. Dadykin

Doctor of Economics, Associate Professor, Dean of the Faculty of Industrial and Digital Economics, Professor of the Department of Digital Economics

Bryansk



O. V. Dadykina
Bryansk State Technical University
Russian Federation

Olga V. Dadykina

Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department

Bryansk



E. P. Nikolaenko
Bryansk State Technical University
Russian Federation

Elizaveta P. Nikolaenko

postgraduate student

Bryansk



References

1. Stepina O.M., Dadykin V.S. Application of GIS technologies in industrial enterprise management // Innovative and industrial potential of regional economic development : proceedings of the IV International Scientific and Practical Conference, Bryansk, March 31, 2017. Bryansk, 2017. Pp. 285–290. EDN YHUSOO.

2. Dadykin V.S. Improvement of program-oriented management of subsurface use based on geological and economic monitoring // Actual problems of social and humanitarian research in economics and management : proceedings of the First scientific and practical conference of the Faculty of Economics and Management dedicated to the 85th anniversary of BSTU, Bryansk, November 25, 2014 / edited by E.I. Sorokina, E.A. Dergacheva. Bryansk : Bryansk State Technical University, 2014. Pp. 168–172. EDN TYUPUB.

3. Dadykin V.S. Formation of the mechanism of interaction in the management system of the subsoil fund of widespread minerals // Bulletin of the Astrakhan State Technical University. Series: Economics. 2017. No. 4. Pp. 86–91. doi:10.24143/2073-5537-2017-4-86-91. EDN ZXFFLF.

4. Dadykin V.S. Analysis, modeling and forecasting of optimal reserves for the sustainable development of mining enterprises // Subsurface use of the XXI century. 2018. No. 2 (71). Pp. 162–169. EDN XMHEEH.

5. Dadykin V.S. Analysis and assessment of the availability of iron ore to enterprises based on geo-economic monitoring // Vestnik of Samara State University of Economics. 2017. No. 11 (157). Pp. 35–39. EDN YTFEHM.


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For citations:


Timoshkin V.M., Dadykin V.S., Dadykina O.V., Nikolaenko E.P. Improving the efficiency of working with the staff of a geological organization based on artificial intelligence. Vestnik of Samara State University of Economics. 2025;(9):111-117. (In Russ.)

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ISSN 1993-0453 (Print)