人力资源管理中的人工智能:招聘,培训,绩效,薪酬和保留的模型
Meysam Safshekan1, Ardalan Feili1, Ali Shojaeifard2
1Department of Management, Apadana Institute of Higher Education, Shiraz, Iran.
Frontiers in artificial intelligence
|February 23, 2026
概括
人工智能 (AI) 通过提高招聘,培训和保留效率来改变人力资源管理 (HRM) 系统. 人工智能使数据驱动的决策能够改善劳动力规划和组织绩效.
科学领域:
- 技术和管理技术和管理
- 人工智能应用程序 人工智能应用程序
- 人力资源管理系统 人力资源管理系统
背景情况:
- 快速的技术进步将人工智能 (AI) 定位为跨行业变革的关键驱动力.
- 人力资源管理 (HRM) 正在越来越多地整合人工智能以优化各种功能.
- 了解人工智能对人力资源管理的影响对于现代组织至关重要.
研究的目的:
- 检查AI在人力资源管理系统中的应用.
- 专注于人工智能在招聘,招聘,培训,绩效管理,薪酬和人力资本保留方面的作用.
- 为利用人工智能在人力资源管理中提供见解.
主要方法:
- 定性研究方法.
- 识别人工智能和人力资源管理方面的专家.
- 通过定性方法收集数据.
- 对收集的数据进行主题分析.
主要成果:
- 人工智能应用模型正在各种人力资源管理系统中引入.
- 人工智能提高了核心人力资源职能的效率和有效性.
- 人工智能促进了数据驱动的决策,并优化了劳动力规划.
结论:
- 人工智能对人力资源管理具有变革性的潜力.
- 战略性实施人工智能可以显著提高组织绩效.
- 人力资源专业人员可以利用人工智能来提高劳动力管理和战略优势.
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