Published in «Russian Journal of Labor Economics»2 / 2019
DOI: 10.18334/et.6.2.40559

Staffing: search and attraction of personnel on the basis of artificial intelligence technologies

Nonka Artem Yurevich, OOO "Veritas Solutions", Russia

Borisova Alena Aleksandrovna, Novosibirsk State Technical University, Russia

Кадровое обеспечение: поиск и привлечение персонала на основе технологий искусственного интеллекта - View in Russian

 Download PDF | Downoads: 50

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 is shown. A comparative analysis of the possibilities provided by technological solutions for automated search and attract candidates is conducted. The problem of search specialization and interaction with the target audience is highlighted. The description of the technological solution of work with the expanded offer of the market on the basis of point response to information on the offer of a new place of work 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:

closing jobs, labor market analysis, search tools and attraction, staffing, technology

JEL-Classification: M51, M54, M55

Citation:
Nonka A.Yu., Borisova A.A. (2019). Staffing: search and attraction of personnel on the basis of artificial intelligence technologies [Kadrovoe obespechenie: poisk i privlechenie personala na osnove tekhnologiy iskusstvennogo intellekta]. Russian Journal of Labor Economics, 6(2). (in Russian). – doi: 10.18334/et.6.2.40559.


References (transliterated):
Borisova A.A. (2012). Organizatsiya deyatelnosti sluzhb upravleniya personalom (rossiyskaya praktika) [The organization of activity of personnel management (Russian practice)] Novosibirsk: Izd-vo NGTU. (in Russian).
Boykova A.L., Lapshina M.L. (2018). Avtomatizatsiya protsedury obrabotki dannyh dlya otdela kadrov stroitelnogo predpriyatiya [Automation of the procedure of data processing for the department of staff of a construction enterprise]. Aktualnye napravleniya nauchnyh issledovaniy XXI veka: teoriya i praktika. 6 (5(41)). 301-304. (in Russian).
Butsyk E.V., Demenenko I.A. (2018). Podbor personala v epokhu tsifrovogo HR [Selection of personnel in the epoch of digital hr]. Vectoreconomy. (5(23)). 28. (in Russian).
Danshina V.V., Vasilenko I.O. (2016). Tekhnologiya podbora personala «HR –POISK» kak forma realizatsii innovatsionnoy strategii razvitiya biznesa [Technology recruitment "HR–POISK" as a form of realization of innovative strategy of development of business]. Business and strategies. (2(03)). 20-24. (in Russian).
Demenenko I.A., Sarkisyan L.V. (2017). Podbor i adaptatsiya personala: innovatsionnye metody HR-menedzhmenta [Recruitment and personnel adaptation: innovative methods of HR management]. NovaInfo.Ru. 2 (60). 524-529. (in Russian).
Ershova N.A., Sergeeva N.V. (2014). Sovremennye tekhnologii sistemy upravleniya personalom v biznes-strukturakh [Modern technologies of personnel management system in business structures] M.: MIRBIS. (in Russian).
Gelikh O.Ya., Solomin V.P., Tulchinskiy G.L. i dr. (2011). Upravlenie personalom i chelovecheskiy kapital sovremennoy Rossii [Personnel management and human capital in modern Russia] SPb.: OOO «Knizhnyy Dom». (in Russian).
Glukhenkaya N.M. (2014). Issledovanie sistem upravleniya personalom organizatsii [The study of systems of personnel management] Praga: Vědecko vydavatelské centrum «Sociosféra-CZ». (in Russian).
Izbasarov A.Zh. (2013). Avtomatizatsiya upravleniya professionalnoy podgotovkoy kadrov [Control automation professional training]. Cloud of Science. (3). 27-31. (in Russian).
Kvasha B.F., Gulyaev A.V. (2008). Sovremennye tekhnologii upravleniya personalom [Modern technologies of personnel management] Saint Petersburg: MINPI. (in Russian).
Mayorova E. (2009). Podbor personala: krizisnye HR-installyatsii [Recruitment: HR crisis-the installation]. Staff management. (15). 38-40. (in Russian).
Ozernikova T.G. (2018). Kadrovye riski rossiyskikh universitetov [Personnel risks of the russian universities]. Labor and social relations. (3). 81-92. (in Russian). doi: 10.20410/2073-7815-2018-29-3-81-92 .
Tolymbekova G.S., Sultanova B.K., Taylak B.E. (2016). Avtomatizatsiya sistemy upravleniya kadrami predpriyatiya [Automation of the personnel management system of the enterprise]. Innovative science. (4-3). 178-180. (in Russian).
Nikishina A.L. Issledovanie sovremennyh tekhnologiy podbora personalaSovremennye nauchnye issledovaniya i innovatsii. (in Russian). Retrieved February 07, 2019, from http://web.snauka.ru/issues/2016/07/70081