The Impact of Artificial Intelligence Applications on Employees' Deviant Innovation

The integration of artificial intelligence (AI) has become a pivotal factor in modern enterprises, driving efficiency, cost reduction, and innovation. However, the impact of AI on organizations and employees extends beyond operational improvements, posing significant challenges to traditional management practices and fostering both opportunities and risks. This study explores the effects of AI applications on deviant innovation—a form of employee-driven, informal innovation often undertaken without organizational approval. Drawing on the Job Demands-Resources (JD-R) model, this research theorizes that AI serves as both a challenging job demand and a critical job resource, influencing employees' work engagement and propensity for deviant innovation. The literature review identifies gaps in existing research, particularly regarding the mechanisms through which AI applications shape deviant innovation. This study highlights the dual impact of deviant innovation on individual and organizational outcomes, emphasizing its potential to enhance creativity and organizational performance. The findings suggest that effective AI integration requires adaptive organizational strategies, flexible management systems, and the cultivation of employees' innovative potential. This research contributes to the fields of organizational behavior and innovation management by providing new insights into the interplay between AI applications and deviant innovation, offering theoretical and practical implications for the future of work.