TITLE:
The Impact of Artificial Intelligence on Employees’ Innovative Behavior in the Original Brand Manufacturing Industry
AUTHORS:
Wahidullah Sangar, Hualiang Ren, Yihao Su
KEYWORDS:
Artificial Intelligence Adoption, Employee Innovative Behavior, Job Security, Employee Well-Being, OBM
JOURNAL NAME:
Open Access Library Journal,
Vol.13 No.10,
October
10,
2026
ABSTRACT: The integration of Artificial Intelligence into Original Brand Manufacturing firms presents both opportunities and challenges for fostering employee innovation. This study investigates how AI adoption influences employees’ innovative behavior, with a particular focus on the mediating role of job security and the moderating role of employee well-being. Drawing on the Technology Acceptance Model and Conservation of Resources theory, we developed a conceptual framework that captures the dual-edged nature of AI in innovation-driven workplaces. This study used a two-wave online survey of 251 OBM professionals from innovation-intensive teams. We used Smart PLS 4 to analyze our data. The results showed that AI adoption has a significant negative impact on employee innovative behavior. Furthermore, job security partially mediates this relationship, indicating that perceived job instability serves as a key mechanism through which AI adoption reduces innovative behavior. Additionally, employee well-being does not moderate the relationship between AI adoption and employee innovative behavior, but it moderates the relationship between AI adoption and job security. This study contributes to the theoretical and practical field of AI in the workplace in OBM firms, and helps to understand the impact of AI on employee innovative behavior.