Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63572799" target="_blank" >RIV/70883521:28120/23:63572799 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-031-50040-4_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-50040-4_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-50040-4_3" target="_blank" >10.1007/978-3-031-50040-4_3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises
Popis výsledku v původním jazyce
This study aims to propose a theoretical model that examines the significance of personal cultural orientations, specifically focusing on innovativeness, independence, and ambiguity intolerance, in the adoption of artificial intelligence (AI) within small and medium-sized enterprises (SMEs). Additionally, the study establishes a relationship between personal cultural orientations and the Unified Theory of Acceptance and Use of Technology (UTAUT), particularly considering performance expectancy and facilitating conditions. SMEs face unique challenges and barriers in their pursuit of competitiveness, which necessitate alternative approaches and methodologies to foster the acceptance of new innovations like AI, beyond traditional technology adoption models. Employing a qualitative methodology, emphasizing documentary research, and utilizing inferential and deductive reasoning, a theoretical model is proposed. This model aims to demonstrate how analysing personal cultural orientations can facilitate the design of effective strategies and policies to support SMEs’ AI adoption, promoting their growth and sustainability in a technology-driven and highly volatile environment.
Název v anglickém jazyce
Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises
Popis výsledku anglicky
This study aims to propose a theoretical model that examines the significance of personal cultural orientations, specifically focusing on innovativeness, independence, and ambiguity intolerance, in the adoption of artificial intelligence (AI) within small and medium-sized enterprises (SMEs). Additionally, the study establishes a relationship between personal cultural orientations and the Unified Theory of Acceptance and Use of Technology (UTAUT), particularly considering performance expectancy and facilitating conditions. SMEs face unique challenges and barriers in their pursuit of competitiveness, which necessitate alternative approaches and methodologies to foster the acceptance of new innovations like AI, beyond traditional technology adoption models. Employing a qualitative methodology, emphasizing documentary research, and utilizing inferential and deductive reasoning, a theoretical model is proposed. This model aims to demonstrate how analysing personal cultural orientations can facilitate the design of effective strategies and policies to support SMEs’ AI adoption, promoting their growth and sustainability in a technology-driven and highly volatile environment.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
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 Sustainable Horizons in Artificial Intelligence and Digital Solutions
ISBN
978-3-031-50039-8
ISSN
0302-9743
e-ISSN
1611-3349
Počet stran výsledku
14
Strana od-do
27-40
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Curitiba
Datum konání akce
9. 11. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—