员工-人工智能合作使导师网络能够增强员工的创造力:一个知识管理视角
Miaomiao Li1, Yang Yu1, Jielin Yin1
1Business School, Beijing Information Science and Technology University, Beijing, China.
Frontiers in psychology
|March 12, 2026
概括
强大的导师网络通过改善知识获取来提高员工的创造力. 这种效应被员工-人工智能协作所放大,在经历智能转型的组织中增强创新.
科学领域:
- 组织行为 组织行为
- 知识管理知识管理
- 人与人工智能的互动
背景情况:
- 员工的创造力对于组织的创新和竞争力至关重要.
- 了解影响员工创造力的因素,如指导和知识获取,是必不可少的.
- 人工智能 (AI) 在工作场所日益集成,需要对其在创造力中的作用进行审查.
研究的目的:
- 调查导师网络力量对员工创造力的影响.
- 检查这种关系中默认的知识 (认知和技能) 获取的调解作用.
- 探索员工-人工智能合作对导师网络强度和默认知识获取之间的联系的调节效应.
主要方法:
- 对中国企业的523名员工进行了三波调查.
- 证实因素分析,等级回归,结构方程建模和引导被用于假设测试.
- 使用统计分析来验证拟议的理论模型.
主要成果:
- 导师网络的强度通过认知和基于技能的默认知识获取,积极影响员工的创造力.
- 基于技能的默契知识获取显示出比认知默契知识获取更显著的调解效应.
- 员工-人工智能协作积极调节关系,增强导师网络对知识获取和创造力的积极影响.
结论:
- 导师网络的强度是员工创造力的重要驱动力,通过默认的知识获取进行介绍.
- 员工-人工智能协作起到关键的调节作用,放大了辅导对创造力的好处.
- 组织可以利用强大的导师网络,促进员工-人工智能合作,以增强创新和导航智能转型.
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