2095-1124

CN 51-1738/F

人工智能冲击意识对Z世代员工主动性创新行为的影响一个有调节的链式中介模型

The Impact of AI Shock Awareness on Proactive Innovation Behavior of Generation Z Employees: A Moderated Chain Mediation Model

  • 摘要: 随着人工智能技术应用的日益广泛,人工智能冲击意识对员工,尤其是Z世代员工的主动性创新行为的影响逐渐增强。文章基于资源保存理论和压力认知评价理论等,采用问卷调查的方式,引入工作不安全感、工作旺盛感、容错动态性分别作为心理资源、工作状态与组织文化变量构建有调节的链式中介模型,对人工智能冲击意识对Z世代员工主动性创新行为的作用机制进行了研究。结果表明:人工智能冲击意识正向影响Z世代员工的主动性创新行为;工作不安全感和工作旺盛感在人工智能冲击意识与主动性创新行为之间发挥链式中介作用;组织容错动态性正向调节工作旺盛感与主动性创新行为之间的关系;容错动态性正向调节工作不安全感、工作旺盛感在人工智能冲击意识与员工主动性创新行为关系中的链式中介作用。根据上述结论,文章提出了促进Z世代员工主动性创新行为产生的对策建议:引导Z世代员工正确对待人工智能技术,建立动态学习系统,营造高容错动态性的组织氛围。

     

    Abstract: As artificial intelligence (AI) technology becomes increasingly prevalent, the awareness of AI shock, particularly among Generation Z employees is exerting a growing influence on their proactive innovation behavior. Grounded in the Conservation of Resources Theory and the Stress Cognitive Appraisal Theory, this study investigates the mechanisms through which AI shock awareness impacts the proactive innovation behavior of Generation Z employees. Using questionnaire surveys, the research introduces job insecurity, work thriving and error tolerance dynamics as psychological resource, work state variables, and organizational culture variable to construct a moderated chain mediation model. The findings reveal that: (1) AI shock awareness positively influences Generation Z employees’ proactive innovative behaviors; (2) Job insecurity and work thriving sequentially mediate the relationship between AI shock awareness and proactive innovative behaviors; (3) Organizational error tolerance dynamics positively moderate the relationship between work thriving and proactive innovative behaviors; and (4) Error tolerance dynamics enhance the chain mediation effect of job insecurity and work thriving in the relationship between AI shock awareness and proactive innovative behaviors. Based on these results, the study proposes strategies to foster proactive innovation among Generation Z employees, including guiding their engagement with AI technology, establishing dynamic learning systems, and cultivating organizational cultures with high error tolerance dynamics.

     

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