Received: 2019-10-18  |  Accepted: 2020-01-19  |  Published: 2020-03-30

Title

Staffing search and recruitment of personnel on the basis of artificial intelligence technologies


Abstract

The key reasons for the transformation of the domestic labor market and the grounds for changing approaches to the formation of staffing are identified. The development of technological solutions to automate the functions of attracting applicants and the primary diagnosis of their suitability to the requirements of the position and organization are presented. A comparative analysis of the possibilities provided by technological solutions for automated search and attracting candidates is given. The problem of search specialization and interaction with the target audience is highlighted. The description of the technological solution for work with the expanded market offer on the basis of point response to information on the offer of a new working place is offered. The article describes the content of the technology and presents a new algorithm for the domestic market search and work with the target audience. Intelligent search and evaluation of the suitability of the applicant in the new technological solution is based on the information trail left by the person in the network.


Keywords

staffing, search and recruitment tools, technology, labor market analysis, closing a vacancy


JEL classifications

M12 , M20


URI

http://jssidoi.org/jesi/article/532


DOI


Pages

2456-2469


Funding

This research was supported by the project, which has received funding from the Ministry of Education and Science of the Russian Federation, project 26.2024.2017/PCH. The results of the research were obtained within the framework of the state task of the project.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Borisova, Alena
Novosibirsk State Technical University, Novosibirsk, Russian Federation https://www.nstu.ru
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Rakhimberdinova, Madina
D. Serikbayev East Kazakhstan State Technical University, Oskemen, Kazakhstan https://www.ektu.kz
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Madiyarova, Elvira
D. Serikbayev East Kazakhstan State Technical University, Oskemen, Kazakhstan https://www.ektu.kz
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Riazantseva, Inna
D. Serikbayev East Kazakhstan State Technical University, Oskemen, Kazakhstan https://www.ektu.kz
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Mikidenko, Natalia
Siberian State University of Telecommunications and Informatics, Novosibirsk, Russian Federation https://www.sibsutis.ru
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Journal title

Entrepreneurship and Sustainability Issues

Volume

7


Number

3


Issue date

March 2020


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

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References