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Analysis of the Attitude of Hungarian HR Professionals to Artificial Intelligence

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  • Karacsony Peter

    (University Research and Innovation Center Óbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary)

Abstract

Human resource (HR) management is one of an organisation’s most important core activities. As new technologies and software applications spread, it is important to recognise that human resource management must also mature and, to this end, must apply new technological guidelines. Artificial intelligence (AI) is one such promising technology trend that is likely to change the existing methods of HR management. This paper examines the attitudes that AI evokes among practicing HR professionals and assesses the potential for the practical application of these technologies. A survey, in the form of a questionnaire, was conducted among Hungarian HR managers, which allowed the collection of first-hand data. The survey was conducted in winter 2021 using the snowball method sampling procedure. The questionnaire mainly contained Likert-scale questions. The results of the research show that survey participants have mixed emotions about AI. The respondents largely agreed that the tools provided by AI are effective and their use helps HR management. The main limitation of the research is that it is limited to just one country, since the COVID-19 pandemic made it difficult to find and involve respondents in the research.

Suggested Citation

  • Karacsony Peter, 2022. "Analysis of the Attitude of Hungarian HR Professionals to Artificial Intelligence," Naše gospodarstvo/Our economy, Sciendo, vol. 68(2), pages 55-64, June.
    • Handle: RePEc:vrs:ngooec:v:68:y:2022:i:2:p:55-64:n:3
    DOI: 10.2478/ngoe-2022-0011
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    References listed on IDEAS

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    1. Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
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    More about this item

    Keywords

    Attitude; Artificial intelligence; Human resource management; Machine learning; Hungarian enterprises;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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