AI adoption drivers and innovative work behaviours

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

AI adoption drivers and innovative work behaviours

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

AI adoption drivers and innovative work behaviours

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

EUROPEAN JOURNAL OF INNOVATION MANAGEMENT

ISSN

1460-1060

e-ISSN

1758-7115

Svazek periodika

neuveden

Číslo periodika v rámci svazku

February 03 2026

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

001675004500001

EID výsledku v databázi Scopus

2-s2.0-105029114710