技能智能管理的规划,实施和评估的方法 - - 技术组织设计科学项目的结果
Kadri-Liis Kusmin1, Peeter Normak1, Tobias Ley1
1School of Digital Technologies, Tallinn University, Tallinn, Estonia.
Frontiers in artificial intelligence
|August 22, 2024
概括
本研究介绍了一种软件工件,用于增强智能管理技能,利用大数据和人工智能. 该工件提高了数据收集和质量,帮助组织适应不断变化的劳动力市场需求.
科学领域:
- 劳动力市场动态 劳动力市场动态
- 数字化转型数字化转型
- 技能 情报 技能 情报
背景情况:
- 不断变化的劳动力市场需求需要适应性的技能智力.
- 大数据,机器学习和人工智能等技术为提高技能智能提供了潜力.
- 在技能智能管理的理论和实际应用之间存在差距.
研究的目的:
- 为技能智能管理设计一种新的软件工件.
- 提供系统的框架,评估工具和实施方法.
- 弥合技能智能的理论和实践之间的差距.
主要方法:
- 为技能智能管理开发一个软件人工物.
- 识别技能情报元素的系统框架.
- 评估工具和实施方法.
- 在11个组织进行示范,收集定性反 (N=19).
主要成果:
- 该软件工件在11个组织中进行了演示.
- 反表明该文物是技能情报管理的可行起点.
- 参与者证实,系统方法提高了数据收集和质量,尽管提出了改进建议.
结论:
- 这件文物有助于在技能情报管理中应用先进技术.
- 它为有效的技能情报管理提供了原则.
- 反强调了该文物的精细化和在各种组织环境中应用的潜力.
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