In recent years, technological innovations in e-recruitment systems have seen an explosive expansion, allowing Human Resource professionals to find the talents who are supposed to be the most suitable to their organizations. In particular, the purpose of this paper is to explore the contribution that Artificial Intelligence Technologies can give in order to increase the efficiency of the recruitment process overcome human errors by comparing theoretical convergences among the various approaches and platforms addressed to companies. A brief study of limits, risks, as well as managerial and business implications linked to the the use of AITs in HRM will be also investigated.

The Unbiased Hiring? A critical analysis of Artificial Intelligence in e- HRM: the case of Pymetrics

PInna R.;
2018-01-01

Abstract

In recent years, technological innovations in e-recruitment systems have seen an explosive expansion, allowing Human Resource professionals to find the talents who are supposed to be the most suitable to their organizations. In particular, the purpose of this paper is to explore the contribution that Artificial Intelligence Technologies can give in order to increase the efficiency of the recruitment process overcome human errors by comparing theoretical convergences among the various approaches and platforms addressed to companies. A brief study of limits, risks, as well as managerial and business implications linked to the the use of AITs in HRM will be also investigated.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/301669
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact