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Integrating Artificial Intelligence across cultural orientations: A longitudinal examination of creative self-efficacy and employee autonomy

Veröffentlichungen: Beitrag in FachzeitschriftArtikelPeer Reviewed

Abstract

In a world where Artificial Intelligence (AI) is increasingly prevalent, a growing discussion persists on how AI integration could affect one's beliefs and degree of control in executing specific tasks. This is especially relevant at the workplace, where psychological and cultural implications of technology integration can significantly influence employee behavior and overall organizational dynamics. In response to this issue, our longitudinal experimental study aims to explore the impact of AI integration and cultural orientation on perceived employee autonomy and creative self-efficacy. We formulated and tested four hypotheses to analyze the relationship between AI integration and employee perceptions within different cultural contexts—specifically individualistic cultures, represented by the United Kingdom, and collectivistic cultures, represented by Mexico. A total of 427 participants from professional sectors participated in this study that alternated tasks with and without AI integration, resulting in an analysis of changes in employee perceptions over time. The empirical findings revealed a positive interactive impact of AI integration on creative self-efficacy, particularly pronounced among participants from collectivistic cultures. Furthermore, reports on employee autonomy revealed a significant negative impact of AI integration in the overall sample. An exploratory gender-specific analysis further revealed significant differences in the impact of AI integration on employee autonomy, with male participants experiencing a more pronounced decrease than female participants. Our findings provide quantitative evidence on how AI integration impacts diverse employee groups, making a significant contribution to the research on ethical and societal considerations in the deployment of AI.

OriginalspracheEnglisch
Aufsatznummer100623
FachzeitschriftComputers in Human Behavior Reports
Jahrgang18
DOIs
PublikationsstatusVeröffentlicht - Mai 2025

Fördermittel

We extend our gratitude to Professor Roni Reiter-Palmon of the University of Nebraska Omaha for her consultation and input, and to Leon Höfer and Sally Jäger of the University of Vienna for their invaluable support and assistance. Open access funding was provided by the University of Vienna.

ÖFOS 2012

  • 102001 Artificial Intelligence
  • 501002 Angewandte Psychologie

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