Maksimović, Marijana and Zvezdanović Lobanova, Jelena and Nikolić, Ivan (2024) International Human Resource Management In The New Geoeconomic Order And Artificial Intelligence. In: The Geo-Economic Landscape: A Market and Social Approach. Belgrade: Institute of Social Sciences Krems: University for Continuing Education Krems, Danube University Krems, Belgrade, pp. 26-53. ISBN 978-86-7093-283-8
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Abstract
Human resources management is an important business function in a company, and the human resources department has the task of providing assistance to other departments that make up the organizational unit. It has speci c tasks including the selection o candidates, their socialization, motivation, care or urther advancement through the company, but also training and acceptance o innovations such as digitization and arti cial intelligence (AI). The purpose o this paper is to contextualize the development and implementation o AI and identiy the scope and dilemmas when using it in companies. The goal is to demonstrate how arti cial intelligence is applied in the eld o human resources (HR), and see the possibilities, but also the contradictions that AI causes in companies. Based on the previous research, it can be concluded that there are many practical questions regarding AI in human resource management (HRM), while the literature o - fers few answers. The chosen methodological approach involves elucidating the problem, rather than nding a solution. The value of this research paper is that it integrates a literature review, the theoretical basis of international human resource management (IHRM), and contains empirical data rom the databases o the World Bank, Eurostat and the International Monetary Fund.
Item Type: | Book Section |
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Uncontrolled Keywords: | : international human resources management, geoeconomics, human resource management, arti ficial intelligence, digitization |
Institutional centre: | Centre for economic research |
Depositing User: | D. Arsenijević |
Date Deposited: | 10 Feb 2025 08:36 |
Last Modified: | 10 Feb 2025 08:36 |
URI: | http://iriss.idn.org.rs/id/eprint/2575 |
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