AI adoption drivers and innovative work behaviours
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F25%3AN0000035" target="_blank" >RIV/04130081:_____/25:N0000035 - isvavai.cz</a>
Result on the web
<a href="https://www.emerald.com/ejim/article-abstract/doi/10.1108/EJIM-03-2025-0327/1338852/AI-adoption-drivers-and-innovative-work-behaviours?redirectedFrom=fulltext" target="_blank" >https://www.emerald.com/ejim/article-abstract/doi/10.1108/EJIM-03-2025-0327/1338852/AI-adoption-drivers-and-innovative-work-behaviours?redirectedFrom=fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1108/EJIM-03-2025-0327" target="_blank" >10.1108/EJIM-03-2025-0327</a>
Alternative languages
Result language
angličtina
Original language name
AI adoption drivers and innovative work behaviours
Original language description
PurposeDrawing on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study aims to analyze the impact of performance expectancy (PE) and training (TR) on AI adoption (AIA). Moreover, our new conceptual model tests the moderating role of personal innovativeness (PI) as well as the final effect of AIA on innovative work behaviour (IWB).Design/methodology/approachA new theoretical conceptual model has been proposed and empirically validated through a "partial least squares structural equation modelling" (PLS-SEM) technique and using the data gathered from 278 employees and managers of information technology (IT) companies.FindingsThe results showed a positive impact of performance expectancy and training on AI adoption in the organizations. Training also played a mediating role, while personal innovativeness showed a moderating effect in the relationship. Finally, AI adoption led to innovative work behaviour, overall, empirically validating the proposed conceptual model.Research limitations/implicationsThe present investigation extends the scope of UTAUT framework and examines the role of AI adoption in influencing employees' innovative work behaviours, while highlighting the differences in the adoption of technology by the employees. Additionally, this research is useful to managers who question themselves how to foster innovation by integrating AI efficiently with IT industry. However, the scope of this cross-sectional study is restricted by its geographical limitations.Originality/valueThe present study fills the existing research gap and found the role of an individuals in influencing AI adoption and IWB within the organization. The outcomes of the study would be beneficial for researchers and practitioners in identifying the key role of training and performance expectancy in increasing AI adoption and IWB at the organizational level.
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EUROPEAN JOURNAL OF INNOVATION MANAGEMENT
ISSN
1460-1060
e-ISSN
1758-7115
Volume of the periodical
neuveden
Issue of the periodical within the volume
February 03 2026
Country of publishing house
GB - UNITED KINGDOM
Number of pages
20
Pages from-to
1-20
UT code for WoS article
001675004500001
EID of the result in the Scopus database
2-s2.0-105029114710