Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
New Sustainable Horizons in Artificial Intelligence and Digital Solutions
ISBN
978-3-031-50039-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
27-40
Publisher name
Springer
Place of publication
Cham
Event location
Curitiba
Event date
Nov 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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