人工智能警觉对员工工作倦怠的影响研究OA北大核心CHSSCDCSSCICSTPCD

Artificial intelligence(AI)emerges as a transformative force,unlocking substantial potential and exerting profound effects on the labor market.The application of AI exhibits a dual-edged sword effect on employees.On the one hand,it enhances productivity,safety,and efficiency,creating new job opportunities and improving working conditions.On the other hand,it displaces some jobs and challenges the protection of labor rights.From a micro-level perspective,AI awareness is becoming a critical issue in the application of workers,reflecting their sensitivity to AI applications and potential impacts,particularly concerns about AI undermining their career prospects.This paper proposes that as companies extensively adopt AI and increase relevant investment,the relationship between AI and employees is likely to become confrontational,ultimately manifesting in heightened AI awareness.This phenomenon not only influences employees'emotional experiences and objective evaluations of AI but also exacerbates the risk of job burnout.Consequently,this paper employs technology companies as a sample to empirically investigate the mechanisms by which AI awareness impacts job burnout within the framework of affective events theory. Through a survey administered to employees working in technology companies in China,this paper employs structural equation modeling to analyze the data.The findings indicate that AI awareness has a significant impact on job burnout.Mechanism analysis reveals that AI awareness positively influences job burnout via the mediating variable of negative emotions.Furthermore,moderation analysis demonstrates that higher levels of organizational justice attenuate the effect of AI awareness on job burnout.The moderated mediation effect shows that as organizational justice increases,the positive impact of AI awareness on job burnout through negative emotions is mitigated.Therefore,enterprises need to take positive measures to alleviate employees'negative emotions toward AI applications and pay more attention to improving organizational fairness to reduce job burnout caused by AI awareness. This paper makes several significant contributions.Firstly,it explores the impact of AI awareness on job burnout within technology enterprises,providing empirical evidence across diverse industry contexts.Secondly,from the perspective of employees'negative emotions,it elucidates the mechanism by which AI awareness influences job burnout,thereby supplementing and enriching existing micro-level research.Thirdly,it proposes feasible operational solutions using organizational justice to mitigate the relationship between AI awareness and employees'negative emotions,offering new perspectives and theoretical foundations for managing job burnout in practice.Lastly,it aids in understanding the impact of new technologies,identifying the current state of human-machine compatibility,providing scientific support for building harmonious labor relations and achieving employment stability under the new development paradigm.