ArticleBehavioral sciences (Basel, Switzerland)2025
The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity.
Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- The Impact of Artificial Intelligence Usage on Affective Work Well-Being: A Self-Determination Theory Perspective.Behavioral sciences (Basel, Switzerland) · 2026Article
- A Moderated Mediation Model of AI-Driven Identity Threats and Employee Cyberloafing: The Role of AI-Inclusive Identity.European journal of investigation in health, psychology and education · 2026Article
- Driving sustainable innovation outcomes through employee AI collaboration with the mediating role of sustainable career capacities.Scientific reports · 2026Article
- Making Artificial Intelligence Work at Work: The Role of Human Resource Practices and Personal Attitudes in Fostering Meaningful Work with Artificial Intelligence.Behavioral sciences (Basel, Switzerland) · 2026Article
- The impact of artificial intelligence application on employees' job insecurity: the moderating roles of self-efficacy and transformational leadership.Frontiers in psychology · 2026Article
- The use of AI tools in academic writing and its associations with college students' critical thinking and academic integrity: a path analysis involving self-regulated learning and innovative behavior.Frontiers in psychology · 2026Article
- From threat to strength: how AI usage is paradoxically associated with resilience among accounting and finance employees with perceived work meaningfulness as a mediating mechanism.Frontiers in psychology · 2026Article
- How and when does artificial intelligence use enhance student creativity? The mediating role of knowledge-based dynamic capabilities.Frontiers in psychology · 2026Article
- AI literacy and innovative work behavior among Chinese university teachers: indirect associations through AI-TPACK and moderation by organizational inertia.Frontiers in psychology · 2026Article
- Unpacking the dual psychological paths of employee-AI collaboration on creativity: The role of proactive behavior.PloS one · 2026Article
- The Mediating and Moderating Roles of Innovation Climate in the Relationship Between Nurses' Attitudes Toward Artificial Intelligence, Creative Self-Efficacy, and Clinical Competence.Journal of nursing management · 2026Article
- A Paradox of Fit: How Job Complexity Shapes AI Self-Efficacy and AI Adoption Through a Curvilinear Mechanism.Behavioral sciences (Basel, Switzerland) · 2025Article
- Trust the Machine or Trust Yourself: How AI Usage Reshapes Employee Self-Efficacy and Willingness to Take Risks.Behavioral sciences (Basel, Switzerland) · 2025Article
- How the Human-Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective.Behavioral sciences (Basel, Switzerland) · 2025Article
- Effects of Employee-Artificial Intelligence (AI) Collaboration on Counterproductive Work Behaviors (CWBs): Leader Emotional Support as a Moderator.Behavioral sciences (Basel, Switzerland) · 2025Article
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Authors and funding
4 authors.
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Abstract
In the context of the digital transformation era, the extensive application of artificial intelligence (AI) is profoundly altering the workplace environment, thereby underscoring the critical need to elucidate its impact on employee innovation behavior. Such insights are essential for optimizing human resource management and enhancing organizational competitiveness. Grounded in cognitive evaluation theory, this study explores the underlying mechanisms through which AI usage influences employee innovation behavior and develops an integrated theoretical model that incorporates both employee personality traits and job characteristics. A two-wave questionnaire survey was conducted, and hierarchical regression analysis was employed to test the hypotheses using a sample of 339 employees from 13 manufacturing enterprises in China. The findings reveal that AI usage is positively associated with employee innovation behavior, with self-efficacy serving as a significant mediator. Furthermore, openness and job complexity positively moderate the relationship between AI usage and self-efficacy, thereby facilitating innovative behavior. Additionally, a moderated mediation mechanism was identified. The conclusions of this study not only enrich the theoretical understanding of how AI impacts employee innovation behavior but also offer practical guidance for organizations on leveraging AI to foster innovation during digital transformation.
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