基于数据分析的人力资源绩效评估模型构建研究  

Research on construction of human resource performance evaluation model based on data analysis

作　　者：左晓平 ZUO Xiaoping(Hebei Heqing Media Co.,Ltd.(Hebei Youth Daily),Shijiazhuang 050000,China)

机构地区：[1]河北河青传媒有限责任公司(河北青年报社),石家庄050000

出　　处：《计算机应用文摘》2025年第9期159-161,164,共4页

摘　　要：文章提出了一种基于多维度数据分析的人力资源绩效评估模型,旨在通过量化员工多维表现数据以优化传统评估体系的主观性与滞后性等问题。文章整合企业人力资源数据,应用机器学习算法建立了动态评估框架,并结合某科技企业的实际应用案例验证了模型有效性。结果表明,该模型能提升评估效率与客观性,为企业人才管理提供数据驱动的决策支持。This paper proposes a human resource performance evaluation model based on multidimensional data analysis,aiming to optimize subjectivity and lag in traditional evaluation system by quantifying multidimensional performance data of employees.In this paper,a dynamic evaluation framework is established by integrating enterprise human resource data with machine learning algorithm,and the effectiveness of the model is verified by a practical application case of a technology enterprise.The results show that this model can improve the evaluation efficiency and objectivity,and provide data-driven decision support for enterprise talent management.

关 键 词：人力资源评估 数据分析 机器学习 绩效量化 人才管理 

分 类 号：F241[经济管理—劳动经济]