Goran Pavlovic – University Metropolitan, Faculty of Management, Tadeusa Košćuška 63, 11158 Belgrade, Serbia

Keywords:                     Algorithmic human resource
management;
Artificial intelligence;
Machine learning;
Algorithm;
HR Development

DOI: https://doi.org/10.31410/ERAZ.S.P.2023.147

Abstract: In the field of human resources, algorithmic management refers to the utilization of digital technology, artificial intelligence, and big data to de­velop rules and procedures that enable the automated management of hu­man resources. Algorithmic human resource management can potentially re­place human resource managers in all stages and activities of staffing, there­by significantly expediting the management process and enhancing cost-ef­fectiveness. Through the use of artificial intelligence, algorithms develop pat­terns and models from which they can autonomously learn and improve the quality of decision-making in employee management. However, relying ex­clusively on algorithmic human resource management can lead to the emer­gence of discriminatory management practices, particularly when the algo­rithms are based on unrepresentative or biased data. Considering these fac­tors, this paper aims to examine the fundamental characteristics, princi­ples, application possibilities, and challenges of algorithmic human resource management.

9th International Scientific ERAZ Conference – ERAZ 2023 – Selected Papers: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, hybrid – online, virtually and in person, Prague, Czech Republic, June 1, 2023

ERAZ Selected Papers published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ERAZ conference partners: Faculty of Logistics, University of Maribor, Maribor (Slovenia); University of National and World Economy – UNWE, Sofia (Bulgaria); Center for Political Research and Documentation (KEPET), Research Laboratory of the Department of Political Science of University of Crete (Greece); Institute of Public Finance – Zagreb (Croatia); Faculty of Tourism and Hospitality Ohrid, University of St. Kliment Ohridski from Bitola (North Macedonia)

ERAZ Conference 2023 Selected Papers: ISBN 978-86-80194-73-8, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.S.P.2023

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

Suggested citation

Pavlovic, G. (2023). Algorithmic Human Resource Management: Characteristics, Possibilities and Challenges. In V. Bevanda (Ed.), ERAZ Conference – Knowlegde Based Sustainable Development: Vol 9. Selected Papers (pp. 147-155). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ERAZ.S.P.2023.147

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