如何在人工智能时代增强员工参与度:基于fsqca的研究
Work (Reading, Mass.)
|February 20, 2025
概括
第四次工业革命中的智能机器通过复杂的互动影响员工参与. 了解这些因素是促进人工智能集成工作场所激励和生产力的关键.
科学领域:
- 管理科学 管理科学
- 组织行为 组织行为
- 人与计算机的交互
背景情况:
- 第四次工业革命整合了智能机器,改变了工作动态和员工的动力.
- 智能机器对员工参与 (积极参与与减少动机) 的影响仍然很复杂.
- 支持生态系统的观点对于理解技术整合对工作的影响至关重要.
研究的目的:
- 探索智能机器采用对员工工作参与度的影响.
- 在支持生态系统框架内确定影响参与的关键因素组合.
- 解决技术工作场所研究中的相互依赖性和非线性关系.
主要方法:
- 使用了模糊集定性比较分析 (fsQCA).
- 研究了七个因素:挑战压力因素,领导能力和各种依赖 (技术,关系,情感,利益),以及增长需要力量.
- fsQCA通过考虑相互依赖和非线性关系来解决先前研究的局限性.
主要成果:
- 不同的因素配置显著影响员工的工作参与度.
- fsQCA确定了多种途径,通过这些途径,因素相互作用以影响参与.
- 实现了对促进人工智能时代参与的条件的细微理解.
结论:
- 该研究为影响工作参与的多种配置提供了理论见解.
- 强调支持性生态系统对技术先进的工作场所的重要性.
- 为管理干预提供经验指导,以加强员工对人工智能的参与.
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