Artificial Intelligence Applications in Human Resource Management
Artificial Intelligence Applications in Human Resource Management
Autori:
Izdanje: Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research
DOI: 10.15308/Sinteza-2022-414-420
Oblast: Student Session
Stranice: 414-420
Apstrakt:
The accelerated development of artificial intelligence (AI), especially the increasing application of machine learning (ML) algorithms in the field of human resource management (HRM), has led to significant changes in the HRM industry. Existing AI applications help HRM professionals in their daily activities and provide essential support for the overall business. The aim of this paper is to review some cutting-edge AI applications in HRM function with attention to the IBM talent management life cycle model.
Ključne reči: Human Resource Management, Artificial Intelligence, Machine Learning, Talent Management Life Cycle
Priložene datoteke:
- 414-420 ( veličina: 417,64 KB, broj pregleda: 255 )
Zahvaljujemo se što ste preuzeli publikaciju sa portala Singipedia.
Ukoliko želite da se prijavite za obaveštenja o sadržajima iz oblasti ove publikacije, možete nam ostaviti adresu svoje elektronske pošte.
Preuzimanje citata:
BibTeX format
RefWorks Tagged format
Unapred formatirani prikaz citata
BibTeX format
@article{article, author = {T. Ćormarković and L. Dražeta}, title = {Artificial Intelligence Applications in Human Resource Management}, journal = {Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research}, year = 2022, pages = {414-420}, doi = {10.15308/Sinteza-2022-414-420} }
RT Conference Proceedings A1 Teodora Ćormarković A1 Lazar Dražeta T1 Artificial Intelligence Applications in Human Resource Management AD Univerzitet Singidunum, Beograd, Beograd, Srbija YR 2022 NO doi: 10.15308/Sinteza-2022-414-420
T. Ćormarković and L. Dražeta, Artificial Intelligence Applications in Human Resource Management, Univerzitet Singidunum, Beograd, 2022, doi:10.15308/Sinteza-2022-414-420