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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2025

Confidentiality

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

Name of the periodical

Ekonomicko-manažérské spektrum

ISSN

1337-0839

e-ISSN

2585-7258

Volume of the periodical

19

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

11

Pages from-to

28-38

UT code for WoS article

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EID of the result in the Scopus database

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