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Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review Cover

Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review

Organizacija
Volume 55 (2022): Issue 3 (August 2022)
By: Saeed Nosratabadi,  Roya Khayer Zahed,  Vadim Vitalievich Ponkratov and  Evgeniy Vyacheslavovich Kostyrin  
Open Access
|Sep 2022

Authors

Saeed Nosratabadi

saeed.nosratabadi@gmail.com

Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary

Roya Khayer Zahed

R.khayer@yahoo.com

Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

Vadim Vitalievich Ponkratov

ponkratovvadim@yandex.ru

Department of Public Finance, Financial University under the Government of the Russian Federation, Moscow, Russian Federation

Evgeniy Vyacheslavovich Kostyrin

evgeniy.kostyrin@yandex.ru

Department of Finances, Bauman Moscow State Technical University, Moscow, Russian Federation
DOI: https://doi.org/10.2478/orga-2022-0012 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
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Language: English
Page range: 181 - 198
Submitted on: Sep 15, 2021
Accepted on: Jul 23, 2022
Published on: Sep 23, 2022
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Artificial intelligence,
Deep learning,
Machine learning,
Human resource management,
Employee lifecycle,
PRISMA,
Systematic literature review
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance

© 2022 Saeed Nosratabadi, Roya Khayer Zahed, Vadim Vitalievich Ponkratov, Evgeniy Vyacheslavovich Kostyrin, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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