The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruitment Process

Gabriel Koman (), Patrik Boršoš () and Milan Kubina
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Gabriel Koman: Department of Managerial Theories, Faculty of Management Science and Informatics, University of Žilina, 010 26 Žilina, Slovakia
Patrik Boršoš: Department of Managerial Theories, Faculty of Management Science and Informatics, University of Žilina, 010 26 Žilina, Slovakia
Milan Kubina: Department of Managerial Theories, Faculty of Management Science and Informatics, University of Žilina, 010 26 Žilina, Slovakia

Administrative Sciences, 2024, vol. 14, issue 7, 1-20

Abstract: The current business environment faces numerous new challenges closely linked to the rapid development of information and communication technologies, which influence the corporate landscape. This article focuses on exploring the possibilities of integrating artificial intelligence, as one of the key technologies of today, into the recruitment process. Its aim is to examine the potential applications of artificial intelligence across various stages of employee recruitment. To achieve this goal, the authors employed various methods and techniques, including the PICOS framework, scientific mapping, and case study analysis. The outcome of this study identifies opportunities for leveraging artificial intelligence in the employee recruitment process within corporate settings. The results reflect the current research gaps concerning the analysis of the personnel processes and conceptualizing the implementation possibilities of artificial intelligence in these processes. The contribution of this article to the academic community lies in its conceptualization, providing a foundation for further research focused on analyzing the impacts of integrating AI into recruitment processes.

Keywords: artificial intelligence; management; HR; recruitment (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2024
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