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EVALUATION OF THE USE OF ARTIFICIAL INTELLIGENCE IN MEDIUM AND LARGE ENTERPRISES IN THE CZECH BUSINESS ENVIRONMENT: AN HR MANAGER PERSPECTIVE

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02819180%3A_____%2F25%3A%230000115" target="_blank" >RIV/02819180:_____/25:#0000115 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ems.uniza.sk/current/" target="_blank" >https://ems.uniza.sk/current/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.26552/ems.2025.1.28-38" target="_blank" >10.26552/ems.2025.1.28-38</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    EVALUATION OF THE USE OF ARTIFICIAL INTELLIGENCE IN MEDIUM AND LARGE ENTERPRISES IN THE CZECH BUSINESS ENVIRONMENT: AN HR MANAGER PERSPECTIVE

  • Popis výsledku v původním jazyce

    Research background: The use of artificial intelligence represents a modern approach to improving the strategic management of enterprises. Several studies have confirmed that gender plays a key role in the context of sustainable growth within the business environment. Purpose of the article: The aim of this article was to evaluate the extent to which artificial intelligence is utilized in medium and large companies operating in the business environment of the Czech Republic. Methods: A questionnaire was used to survey HR managers regarding the use of artificial intelligence in medium and large enterprises. A total of 451 HR managers from the business sector participated in the study. The research was conducted in 2024 in the Czech Republic. The assumption of normal distribution was tested using the Kolmogorov–Smirnov test, and homoscedasticity was evaluated using Levene’s test. Statistical hypotheses were verified using auxiliary statistics and the non-parametric Mann–Whitney U test. Findings &amp; Value added: The empirical results revealed several interesting findings. Statistically significant gender-based differences were observed in HR managers’ evaluations of artificial intelligence use. Male HR managers assessed AI applications more positively than their female counterparts, particularly in areas such as automation of administrative tasks, recruitment and selection, process efficiency, support for CSR report preparation, and management. However, no significant gender differences were found in the evaluation of AI's impact on improving the employee experience.

  • Název v anglickém jazyce

    EVALUATION OF THE USE OF ARTIFICIAL INTELLIGENCE IN MEDIUM AND LARGE ENTERPRISES IN THE CZECH BUSINESS ENVIRONMENT: AN HR MANAGER PERSPECTIVE

  • Popis výsledku anglicky

    Research background: The use of artificial intelligence represents a modern approach to improving the strategic management of enterprises. Several studies have confirmed that gender plays a key role in the context of sustainable growth within the business environment. Purpose of the article: The aim of this article was to evaluate the extent to which artificial intelligence is utilized in medium and large companies operating in the business environment of the Czech Republic. Methods: A questionnaire was used to survey HR managers regarding the use of artificial intelligence in medium and large enterprises. A total of 451 HR managers from the business sector participated in the study. The research was conducted in 2024 in the Czech Republic. The assumption of normal distribution was tested using the Kolmogorov–Smirnov test, and homoscedasticity was evaluated using Levene’s test. Statistical hypotheses were verified using auxiliary statistics and the non-parametric Mann–Whitney U test. Findings &amp; Value added: The empirical results revealed several interesting findings. Statistically significant gender-based differences were observed in HR managers’ evaluations of artificial intelligence use. Male HR managers assessed AI applications more positively than their female counterparts, particularly in areas such as automation of administrative tasks, recruitment and selection, process efficiency, support for CSR report preparation, and management. However, no significant gender differences were found in the evaluation of AI's impact on improving the employee experience.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Ekonomicko-manažérské spektrum

  • ISSN

    1337-0839

  • e-ISSN

    2585-7258

  • Svazek periodika

    19

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    SK - Slovenská republika

  • Počet stran výsledku

    11

  • Strana od-do

    28-38

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus