生成型人工智能使用对员工创新工作绩效的影响
Hui Zhang1, Lidong Zhu1, Ayuan Zhang1
1School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China.
PloS one
|January 22, 2026
概括
生成型人工智能 (GenAI) 工具通过认知和社会用途促进员工创新. 这些用途增强知识共享和资源获取,导致更高的工作满意度和更好的创新表现.
科学领域:
- 人工智能的人工智能
- 组织心理学 组织心理学
- 人与计算机的交互
背景情况:
- 生成型人工智能 (GenAI) 的采用在工作场所迅速增加.
- 基因人工智能模糊了职业和个人界限,可能会影响员工的创新.
- 了解GenAI使用与创新性能之间的关系至关重要.
研究的目的:
- 实证地研究创新工作绩效与GenAI工具使用之间的联系.
- 检查知识转移和资源获取的调解作用.
- 将使用和奖励理论应用于GenAI在专业环境中的采用.
主要方法:
- 调查数据从全国366名员工中收集.
- 统计分析以评估GenAI使用对创新绩效的影响.
- 检查GenAI工具的认知和社会用途.
主要成果:
- 基因人工智能工具的认知和社会用途都显著提高了创新性能.
- 基因AI的认知使用主要驱动知识转移行为.
- 对GenAI的社会使用主要是为了促进资源的获取.
结论:
- 增强的知识转移和资源获取积极影响工作满意度.
- 工作满意度是提高创新绩效的关键驱动力.
- 提出了一个新的框架,用于优化GenAI工具的使用,以管理员工绩效.
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