A bibliometric review on artificial intelligence and entrepreneurship
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F25%3A63597140" target="_blank" >RIV/70883521:28120/25:63597140 - isvavai.cz</a>
Výsledek na webu
<a href="https://etalpykla.vilniustech.lt/handle/123456789/159273" target="_blank" >https://etalpykla.vilniustech.lt/handle/123456789/159273</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3846/bm.2025.1455" target="_blank" >10.3846/bm.2025.1455</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A bibliometric review on artificial intelligence and entrepreneurship
Popis výsledku v původním jazyce
Artificial intelligence and entrepreneurship considered as useful for industries, institutions and society. We selected peer-reviewed 149 articles by using Web of Science period from 2016 to 2024. We analyzed the data by utilizing VoSviewer software. Our bibliometric data demonstrated an interesting cluster such as Cluster 1: technology driven creative entrepreneurial activities, Cluster 2: integrating big data technology into managerial practices, Cluster 3: adoption of AI models into entrepreneurial education, Cluster 4: AI driven digitization of dynamic capabilities, Cluster 5: Impact of AI and ML on international entrepreneurial landscape, Cluster 6: User acceptance driven by digital entrepreneurship. This bibliometric review provides useful insights for entrepreneurs by adoption of AI technologies due to its disruption towards industries globally and locally. Our bibliometric review advance understanding on entrepreneurship literature by integration of AI technologies due to digital transformation for businesses and society as well.
Název v anglickém jazyce
A bibliometric review on artificial intelligence and entrepreneurship
Popis výsledku anglicky
Artificial intelligence and entrepreneurship considered as useful for industries, institutions and society. We selected peer-reviewed 149 articles by using Web of Science period from 2016 to 2024. We analyzed the data by utilizing VoSviewer software. Our bibliometric data demonstrated an interesting cluster such as Cluster 1: technology driven creative entrepreneurial activities, Cluster 2: integrating big data technology into managerial practices, Cluster 3: adoption of AI models into entrepreneurial education, Cluster 4: AI driven digitization of dynamic capabilities, Cluster 5: Impact of AI and ML on international entrepreneurial landscape, Cluster 6: User acceptance driven by digital entrepreneurship. This bibliometric review provides useful insights for entrepreneurs by adoption of AI technologies due to its disruption towards industries globally and locally. Our bibliometric review advance understanding on entrepreneurship literature by integration of AI technologies due to digital transformation for businesses and society as well.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych 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 statě ve sborníku
New Trends in Contemporary Economics, Business and Management
ISBN
978-609-476-423-3
ISSN
2029-4441
e-ISSN
2029-929X
Počet stran výsledku
8
Strana od-do
330-337
Název nakladatele
Lithuania Vilnius Gediminas Technical University
Místo vydání
Vilnius
Místo konání akce
Vilnius
Datum konání akce
15. 5. 2025
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—