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本文通过CiteSpace，对2016—2025年Web of Science与CNKI数据库中人工智能与人力资源管理领域的核心文献进行可视化分析。通过绘制关键词共现、聚类、演进及突现图谱，系统描绘并比较该领域近10年中外研究的全景、知识结构、热点变化与核心主题差异。研究发现：国外“AI+HRM”以人工智能、机器学习和生成式AI为核心，研究呈现“技术理论—场景应用—价值重构”的演进特征，聚焦技术创新和跨场景应用；国内则以人工智能、人力资源管理和数字化转型为核心，以“政策响应—技术落地—本土适配”为实践逻辑，研究集中于政策适配和企业转型；AI在人才招聘、培训、绩效薪酬板块的应用兼具共性特征与个性差异。
Abstract：Based on CiteSpace, this paper conducts a visual analysis of the core literatures in the field of artificial intelligence and human resource management from the Web of Science and CNKI databases during 2016-2025.By mapping keyword co-occurrence, clustering, evolution and burst detection diagrams, systematically depicts and compares the research panorama, knowledge structure, hot spot changes and differences in core themes of this field between Chinese and international scholars over the past decade.The findings show that international research on AI+HRM takes artificial intelligence, machine learning and generative AI as the core, presenting an evolutionary characteristic of "technological theory-scenario application-value reconstruction" and focusing on technological innovation and cross-scenario application; domestic research, by contrast, centers on artificial intelligence, human resource management and digital transformation, follows the practical logic of "policy response-technology implementation-local adaptation", and focuses on policy matching and enterprise transformation. In addition, the application of AI in recruitment, training, performance and compensation exhibits both common characteristics and individual differences across these modules.
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基本信息:
中图分类号:TP18;F272.92
引用信息:
[1]郑浩,张相林,肖若菡.人工智能对人力资源管理的影响研究——基于CiteSpace可视化分析[J].未来与发展,2026,50(08):8-17.
基金信息:
山东省社科规划重大委托课题“中国共产党选人用人领导力研究”（SDQDSKL43）; 国家社会科学基金重大项目“我国新时代的国际人才治理体系建设研究”（18ZDA084）
2026-08-15
2026-08-15