Template-Type: ReDIF-Article 1.0
Author-Name: Oumaima EL MNOUER
Author-Email: oumaima.elmnouer@um5r.ac.ma
Author-Workplace-Name: Faculty of Law, Economics and Social Sciences of Agdal, Mohamed V University, Rabat, Morocco
Author-Name: Ayoub KATFI
Author-Email: ayoub.katfi@um5r.ac.ma
Author-Workplace-Name: Faculty of Law, Economics and Social Sciences of Agdal, Mohamed V University, Rabat, Morocco
Author-Name: Hamza KATFI
Author-Email: hamza.katfi@um5r.ac.ma
Author-Workplace-Name: Faculty of Law, Economics and Social Sciences of Agdal, Mohamed V University, Rabat, Morocco
Author-Name: Aicha MRHARI
Author-Email: a.mrhari@um5r.ac.ma
Author-Workplace-Name: Faculty of Law, Economics and Social Sciences of Agdal, Mohamed V University, Rabat, Morocco
Title: Artificial Intelligence and Recruitment in Morocco: Innovative Frontiers for Optimizing the Collaborator Experience
Abstract: The integration of artificial intelligence into recruitment processes has brought substantial improvements to recruiters' routines, thereby enhancing the efficiency of this function. It is in this context that this article addresses this theme, delving deeply into the significance of AI usage and its impact on the tasks of recruitment managers. Furthermore, this article aims to highlight the various applications of AI throughout the different phases of the recruitment process. It also seeks to decipher the perceptions of recruitment managers regarding the use of this technology while identifying the benefits it provides as well as its limitations. To achieve these objectives, a qualitative approach was adopted, relying on semi-structured interviews conducted with around ten recruitment managers from Moroccan and multinational recruitment agencies. The results from the survey indicate that artificial intelligence is emerging as a promising tool in the field of recruitment in Morocco, capable of enhancing the overall efficiency of the recruitment process. Nevertheless, it is imperative to implement it thoughtfully to avoid potential limits.     Keywords: Artificial Intelligence, Machine learning, Recruitment, Sourcing, HR Analytics JEL Classification: O10, 015, 031, 032 Paper type: Empirical research,
Journal: International Journal of Accounting, Finance, Auditing, Management and Economics
Pages: 223-238
Volume: 4
Issue: 6-2
Year: 2023
File-URL: https://ijafame.org/index.php/ijafame/article/view/1269
File-Format: text/html
File-URL: https://ijafame.org/index.php/ijafame/article/view/1269/1268
File-Format: application/pdf
Handle: RePEc:aoa:journl:v:4:y:2023:i:6-2:p:223-238