基于人类基因AI的代理合作:员工的感知如何塑造知识共享,繁荣和福祉
Mai Nguyen1, Tuan Phong Nham2, Rsha Alghafes3
1Department of Marketing, Griffith University, 170 Kessels Road, Nathan, QLD, 4111, Australia; School of Languages and Tourism, Hanoi University of Industry, Hanoi, Viet Nam.
Acta psychologica
|January 23, 2026
概括
与生成人工智能 (GenAI) 合作的员工取决于感知价值和自我关注,而不是隐私恐惧. 这种合作增强了知识共享,就业繁荣和福祉,特别是在创新型组织内.
科学领域:
- 组织行为 组织行为
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 生成型人工智能 (GenAI) 正在迅速融入工作场所,改变了人与技术合作的动态.
- 了解员工对GenAI的看法对于成功采用和最大化收益至关重要.
研究的目的:
- 调查影响员工与GenAI代理合作的因素.
- 检查这种合作对知识共享,就业繁荣和福祉的影响.
- 将社会交换理论扩展到组织内的人类-人工智能交互.
主要方法:
- 基于调查的研究应用社会交换理论原则.
- 分析员工对GenAI价值,脆弱性,隐私和自我关注的看法.
- 统计建模以评估对人类-GenAI合作及其后续成果的影响.
主要成果:
- 感知价值和自我关注积极预测人类-GenAI合作;隐私问题不会显著影响它.
- 人类-GenAI合作强烈预测知识共享,就业繁荣和福祉.
- 组织探索性创新可以缓和协作对结果的积极影响.
结论:
- 社会交换理论适用于人类-人工智能协作,强调感知价值和自我关注作为关键驱动因素.
- 风险感知,特别是与隐私有关的风险感知,并不一定会阻碍GenAI的采用.
- 组织气候和创新对于实现人工智能合作的好处和实现积极的员工成果至关重要.
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