人工智能相关任务复杂性如何塑造创新的工作行为:一个应对理论观点
Hongyi Cai1, Yuhui Ge1, Heng Zhao2
1Business School, University of Shanghai for Science and Technology, Shanghai 200093, China.
Behavioral sciences (Basel, Switzerland)
|November 27, 2025
概括
人工智能 (AI) 任务复杂性通过鼓励以问题为中心的应对来促进创新,但通过以情感为中心的应对来阻碍它. 人工智能机会感知会缓和这些影响,影响员工的创新.
科学领域:
- 管理科学 管理科学
- 人工智能研究 人工智能研究
- 组织行为 组织行为
背景情况:
- 技术进步,特别是人工智能 (AI),正在重塑行业,推动创新.
- 了解员工对人工智能集成的反应对于组织成功和最大限度地提高创新质量至关重要.
研究的目的:
- 调查人工智能相关任务复杂性影响创新的工作行为的双通道机制.
- 根据应对理论,检查AI在这些途径上的机会感知的调节作用.
主要方法:
- 对北京和上海高科技企业的353名员工进行了三波现场调查.
- 使用结构方程建模来测试提出的假设.
主要成果:
- 与人工智能相关的任务复杂性通过以问题为中心的应对积极影响创新的工作行为.
- 与人工智能相关的任务复杂性通过以情感为中心的应对,对创新的工作行为产生负面影响.
- 人工智能机会感知调节了这两种途径,增强了以问题为中心的应对的积极影响,并减少了以情感为中心的应对的负面影响.
结论:
- 员工对人工智能集成的行为反应是复杂的,涉及适应性和不适应性应对策略.
- 组织可以从战略上利用AI机会感知来优化人工智能集成工作环境中的员工创新.
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