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

Alena Borisova (), Madina Rakhimberdinova (), Elvira Madiyarova (), Inna Riazantseva () and Natalia Mikidenko ()
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Alena Borisova: Novosibirsk State Technical University, Russian Federation
Madina Rakhimberdinova: D. Serikbayev East Kazakhstan Technical University, Kazakhstan
Elvira Madiyarova: D. Serikbayev East Kazakhstan Technical University, Kazakhstan
Inna Riazantseva: D. Serikbayev East Kazakhstan Technical University, Kazakhstan
Natalia Mikidenko: Siberian State University of Telecommunications and Informatics, Russian Federation

Entrepreneurship and Sustainability Issues, 2020, vol. 7, issue 3, 2456-2469

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 (search for similar items in EconPapers)
JEL-codes: M12 M20 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:7:y:2020:i:3:p:2456-2469

DOI: 10.9770/jesi.2020.7.3(66)

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