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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

INPROFORUM 2025. Proceedings of the 19th International Scientific Conference INPROFORUM. Economy under Pressure.

ISBN

978-80-7694-143-4

ISSN

2336-6788

e-ISSN

—

Počet stran výsledku

7

Strana od-do

166-172

Název nakladatele

Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

6. 11. 2025

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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