检查人工智能使用对工作参与度的双刃剑效应:核心任务特征替代的调节作用
1School of Economics and Management, Nanjing Tech University, Nanjing 211816, China.
Behavioral sciences (Basel, Switzerland)
|February 26, 2025
概括
人工智能 (AI) 的使用可以通过提高心理可用性和减少异化来提高工作参与度. 然而,核心任务的高度替代可以否定这些好处,可能会增加异化.
科学领域:
- 组织行为 组织行为
- 人力资源管理 人力资源管理
- 人工智能应用程序 人工智能应用程序
背景情况:
- 人工智能 (AI) 在工作场所日益集成,需要了解它对员工工作参与度的影响.
- 优化人力资源管理和组织生产力需要调查人工智能对员工体验的影响.
- 资源保护理论为研究人工智能对心理资源和工作参与度的影响提供了一个框架.
研究的目的:
- 调查人工智能使用对工作参与度的双重影响 (双刃剑效应).
- 检查核心任务特征替代在AI使用-工作参与关系中的调节作用.
- 为管理人员提供有关管理员工人工智能体验的见解.
主要方法:
- 在中国,对279名员工进行了两波研究.
- 哈耶斯的PROCESS宏被用来测试一个调节调解模型.
- 该研究分析了人工智能使用对心理可用性,工作疏离和整体工作参与度的影响.
主要成果:
- 人工智能使用被发现通过增加心理可用性和抑制工作异化来增强工作参与度.
- 核心任务特征的替代削弱了人工智能对心理可用性的积极影响和对工作疏离的负面影响.
- 虽然人工智能通常会抑制工作异化,但高替代性可能会导致异化增加,这表明潜在的负面后果.
结论:
- 人工智能使用对工作参与有着复杂,多方面的影响,既有好处,也有潜在的缺点.
- 核心任务特征替代的缓解效应对于确定人工智能对员工的净影响至关重要.
- 在实施人工智能时,管理人员应该考虑任务特征,以减轻负面影响并最大限度地提高员工参与度.
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