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Zarządzanie zdalnymi procesami doboru pracowników z wykorzystaniem technologii Smart HR recruiting w światowej pandemii COVID-19
Języki publikacji
Abstrakty
Theoretical generalization is carried out in this paper, and the digital transformation of remote staff selection processes is developed through Smart HR Recruiting technology. The work aims to develop modern methods of remote personnel selection in the context of COVID-19 pandemic. The research methodology is based on forming a program of measures to improve the HR recruitment model based on Smart recruiting, considering the trending areas of digital recruiting. As a result of the study, an assessment was made of the effectiveness of remote recruitment in the Smart HR Recruiting process. The economic effect of recruiting processes according to the Smart HR-Recruiting method has been confirmed.
W artykule przedstawiono uogólnienie teoretyczne oraz opracowano nowatorską technikę cyfrowej transformacji procesów zdalnej selekcji pracowników za pomocą technologii Smart HR Recruiting. Celem pracy było opracowanie nowoczesnych metod zdalnej selekcji personelu w kontekście ogólnoświatowej pandemii COVID-19. Metodologia badania opierała się na stworzeniu programu działań mających na celu doskonalenie modelu rekrutacji HR opartego na Smart Rekrutacjach z uwzględnieniem trendów w rekrutacji cyfrowej. W wyniku badania dokonano oceny skuteczności rekrutacji zdalnej w procesie Smart HR Recruiting. Potwierdzono efekt ekonomiczny procesów rekrutacyjnych metodą Smart HR-Recruiting.
Czasopismo
Rocznik
Tom
Strony
338--355
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
autor
- Khmelnytskyi National University, Department of Personnel Management and Labor Economics
autor
- Khmelnytskyi National University, Department of Personnel Management and Labor Economics
autor
- Khmelnytskyi National University, Department of Personnel Management and Labor Economics
autor
- Khmelnytskyi National University, Department of Personnel Management and Labor Economics
autor
- Khmelnytskyi National University, Scientific and Research Department
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21c19e9f-471d-4bda-b58a-24be094dd66d