基于大数据的人力资源动态配置中面临的问题及对策
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李忠南
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锦州市数据中心，辽宁锦州，121000
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摘要：大数据技术发展速度快，企业人力资源管理已从传统静态配置转向动态化、智能化模式。当前人力资源动态配置环节里，数据孤岛问题比较大、数据质量有高有低、算法模型适应能力不足，隐私与伦理风险也很突出，这些问题让人才流动与岗位匹配效率不高，没法实现真正的精准配置与动态优化。本文利用大数据分析技术，搭建起一套覆盖数据采集整合、特征工程、岗位需求与员工能力匹配模型、动态反馈机制的人力资源动态配置框架。
关健词：大数据；动态配置；问题对策 |
Problems and Countermeasures in the dynamic allocation of human resources based on big data
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Zhongnan Li
Jinzhou data center，Jinzhou Liaoning 121000，China
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Absrtact：With the rapid development of big data technology, enterprise human resource management has shifted from the traditional static configuration to the dynamic and intelligent mode. At present, in the process of dynamic allocation of human resources, the problem of data island is relatively large, the quality of data is high or low, the adaptability of algorithm model is insufficient, and privacy and ethical risks are also prominent. These problems make the efficiency of talent flow and job matching not high, and it is impossible to achieve real precise allocation and dynamic optimization. This paper uses big data analysis technology to build a dynamic human resource allocation framework covering data collection and integration, feature engineering, job demand and employee ability matching model, and dynamic feedback mechanism.
Keywords : big data；dynamic configuration；Problem Countermeasures
参考文献
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[3] 王怡. 基于大数据技术的企业人力资源管理创新研究[J]. 企业改革与管理,2025(22):122-123. |
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