在扩展的人力资源生态系统中采用人工智能:促进者和障碍者. 一个绑架案例研究研究
Antarpreet Singh1,2, Jatin Pandey1
1Organizational Behaviour and Human Resource Management Area, Indian Institute of Management Indore, Indore, India.
Frontiers in psychology
|February 8, 2024
概括
在人力资源管理 (HRM) 中探索人工智能 (AI) 的采用,确定协作型员工和数字领导力等推动因素,以及情绪检测和AI道德等障碍. 这项研究为人工智能在人力资源生态系统中的整合提供了一个模型.
科学领域:
- 管理科学 管理科学
- 信息系统信息系统信息系统
- 组织行为 组织行为
背景情况:
- 人工智能 (AI) 正在改变工作场所,促使人力资源领导者探索将其整合到人力资源管理 (HRM) 中.
- 了解影响人工智能在人力资源管理中的采用因素对于有效的人机协作和未来准备好的工作场所至关重要.
研究的目的:
- 调查在扩展的人力资源生态系统中启用和抑制人工智能采用的HRM特定因素.
- 开发人工智能在人力资源管理中的采用模型,并为技术的接受和使用的统一理论提出补充.
主要方法:
- 定性案例研究设计,采用绑架方法.
- 对三个印度公司在人力资源职能中采用人工智能的不同阶段进行的研究.
主要成果:
- 关键的推动因素包括乐观的员工,强大的数字领导力,可靠的人力资源数据,专业的人力资源合作伙伴和强大的AI道德.
- 发现的障碍是难以评估员工的情绪,与数字专家/合作伙伴的无效合作,以及缺乏人工智能道德的采用.
结论:
- 该研究为人力资源生态系统中人工智能采用提供了一个模型,增强了技术接受和使用的统一理论.
- 结果有助于行业人力资源的最佳实践,数字政策的制定,并促进和的人类-AI合作,为未来的准备工作场所.
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