Artificial Intelligence in Small and Medium-Sized Companies – Comparative Analysis of V4 Region

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F25%3A43910651" target="_blank" >RIV/60076658:12510/25:43910651 - isvavai.cz</a>
Result on the web
<a href="https://inproforum.ef.jcu.cz/" target="_blank" >https://inproforum.ef.jcu.cz/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32725/978-80-7694-143-4.20" target="_blank" >10.32725/978-80-7694-143-4.20</a>

Result language
angličtina
Original language name
Artificial Intelligence in Small and Medium-Sized Companies – Comparative Analysis of V4 Region
Original language description
The main aim of this paper is to examine the application of artificial intelligence in small and medium-sized enterprises and to investigate whether the adoption of AI in enterprises across the V4 countries varies not only by country but also by enterprise size. The analysis is based on the latest available Eurostat data and combines descriptive statistics with chi-square tests: (i) a goodness-of-fit test to assess whether AI adoption rates differ across countries, and (ii) an independence test to verify the relationship between company size and AI adoption. The results show statistically significant differences across V4 countries and size categories: larger enterprises show higher adoption than SMEs, and there are significant disparities between countries, with some lagging behind. The findings confirm that structural factors (company size, national context) play a key role in AI deployment. The study provides practical recommendations for policymakers and SME managers: to develop competencies and infrastructure in a targeted manner, to focus support on overcoming identified barriers to adoption, and to monitor the effect of company size on the return on AI implementation.
Czech name
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Czech description
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Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
INPROFORUM 2025. Proceedings of the 19th International Scientific Conference INPROFORUM. Economy under Pressure.
ISBN
978-80-7694-143-4
ISSN
2336-6788
e-ISSN
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Number of pages
7
Pages from-to
166-172
Publisher name
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Nov 6, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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