Exploring AI Adoption Dynamics and Entrepreneurial Orientation in Czech Chemical SMEs: A Pilot Study Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F24%3APU151744" target="_blank" >RIV/00216305:26510/24:PU151744 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/378955256_Exploring_AI_Adoption_Dynamics_and_Entrepreneurial_Orientation_in_Czech_Chemical_SMEs_A_Pilot_Study_Perspective" target="_blank" >https://www.researchgate.net/publication/378955256_Exploring_AI_Adoption_Dynamics_and_Entrepreneurial_Orientation_in_Czech_Chemical_SMEs_A_Pilot_Study_Perspective</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.46585/sp32011718" target="_blank" >10.46585/sp32011718</a>
Alternative languages
Result language
angličtina
Original language name
Exploring AI Adoption Dynamics and Entrepreneurial Orientation in Czech Chemical SMEs: A Pilot Study Perspective
Original language description
This article outlines a pilot study aimed at exploring the influence of Entrepreneurial Orientation (EO) on Artificial Intelligence (AI) adoption and firm performance within Czech chemical SMEs. With dual aims, the study first evaluates the feasibility of the main research design and secondly develops and validates an innovative instrument for measuring AI adoption. Through a quantitative survey, 107 Czech chemical SMEs were engaged, focusing on the practicality of research methodologies and the initial testing of measurement tools, especially for AI adoption. Despite a modest response rate, the study met its methodological objectives, offering insights into AI integration and EO's complexity within the sector. The initial findings hint at the need for broader engagement strategies in the subsequent study, reflecting the challenges of researching niche markets. Significantly, the creation of the AI adoption tool marks a considerable advancement, addressing a gap in existing research tools. This study not only underscores the importance of pilot testing in social sciences, especially within specialized sectors, but also its findings and methodologies serve as a blueprint for future research, emphasizing the adaptation of strategies to industry-specific and geographical peculiarities. By establishing a methodological foundation for in-depth future research, this pilot study promises enhanced understanding of EO's impact on AI adoption strategies and performance outcomes in the Czech chemical industry, directly addressing a critical research gap.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Papers of the University of Pardubice. Series B, The Jan Perner Transport Faculty. Univerzita Pardubice JR AH
ISSN
1211-6610
e-ISSN
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Volume of the periodical
32
Issue of the periodical within the volume
+
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
28
Pages from-to
1-28
UT code for WoS article
001207569100002
EID of the result in the Scopus database
2-s2.0-85190353762