人才识别研究:从多学科和全球视角进行的文献计量研究
Fabio Andres Parra-Martinez1, Jonathan Wai1,2
1Wai Lab, Department of Education Reform, University of Arkansas, Fayetteville, AR, United States.
Frontiers in psychology
|June 12, 2023
概括
这项研究绘制了80年全球人才识别 (TI) 研究的地图,揭示了其集中在管理,体育和教育领域. 它强调跨学科的联系和新兴趋势,如信息技术中的股权和技术.
科学领域:
- 关于人才识别 (TI) 的多学科研究.
- 涵盖管理,商业,领导力,体育科学,教育,心理学和STEM领域.
- 分析了超过80年的全球研究趋势.
背景情况:
- 人才识别 (TI) 研究跨越多个学科.
- 了解TI研究的演变和影响至关重要.
- 之前的研究还没有全面地绘制TI的跨学科景观.
研究的目的:
- 描述过去80年全球人才识别 (TI) 研究的现状,趋势和演变.
- 探索IT研究中的生产力,协作和知识结构.
- 识别IT的研究缺口和未来的机会.
主要方法:
- 从Scopus和Web of Science数据库中对2,502份文档进行了图书统计分析.
- 探索生产力,协作和知识结构.
- 专题演变分析以追踪研究主题.
主要成果:
- 信息技术研究集中在管理/商业/领导 (37%),体育/体育科学 (20%) 和教育/心理学/STEM (23%) 的领域.
- 管理和体育科学的独立研究,而心理学和教育作为桥梁.
- 已建立的主题包括评估,认知能力,健身和青年特征;新兴的主题侧重于公平,多样性和技术.
结论:
- 信息技术研究在各个领域都有着显著的存在,心理学和教育促进了跨学科的联系.
- 该研究确定了关键贡献者和有影响力的来源,为未来的TI研究提供了基础.
- 未来的研究应该探讨在人才识别和管理方面的公平,多样性和技术创新.
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