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人工智能焦虑对员工工作热情的影响:一个温和的媒介效应模型
Xinqiang Chen1, Jingying Ke2, Xiu-E Zhang3
1School of Economics and Management, Xiamen University of Technology, Xiamen, China.
Acta psychologica
|September 4, 2025
概括
员工对人工智能 (AI) 取代工作和学习新技能的担忧减少了对工作的热情. 情绪疲会影响这种影响, 领导力和学习目标提供了潜在的缓冲.
科学领域:
- * 管理科学
- * 组织行为
- * 人与计算机的交互
背景情况:
- 人工智能 (AI) 整合提高了公司的效率,但也引起了员工对工作安全和技能适应的担忧.
- 员工对人工智能对就业和所需能力的影响越来越担忧.
- 关于人工智能焦虑对员工工作热情的具体影响的研究有限.
研究的目的:
- 实证地研究员工对人工智能的焦虑与他们的工作热情之间的关系.
- * 检查情绪疲在这种关系中的调解作用.
- * 探索以服务为导向的领导和学习目标导向的调节效应.
主要方法:
- * 涉及430名制造业员工的定量研究.
- 通过问卷收集的数据.
- 使用统计方法来测试拟议的关系的实证分析.
主要成果:
- * 担心换工作和学习会显著降低工作热情.
- * 情绪疲部分影响人工智能焦虑对工作的激情.
- 服务导向的领导和学习目标导向表现出不同的调节影响.
结论:
- *人工智能焦虑会对员工的工作激情产生负面影响,这种情绪疲会导致这种情绪.
- 组织策略应解决与人工智能相关的焦虑, 以保持员工的参与度.
- 领导风格和员工学习方向可以减轻负面影响,提高人工智能采用效率.
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