摘要
数据挖掘作为知识经济时代的发展新动力,其应用已涉及金融业、零售业、保险业、医疗等诸多领域并取得显著成效,但数据挖掘在人力资源管理领域的应用目前仍处于初始阶段,其推行力度、普及程度、技术成熟度等均存在很大局限性。本文在此背景下以离职管理为例,基于数据和风险层面角度,借助数据挖掘技术的灰色关联分析法对离职因素进行量化评估,通过实证分析结果指导管理者做出决策,并且进一步强调数据对企业和人力资源管理者的必要性。
data mining as a new drive the development of knowledge economy era, the application has been involved in many fields such as finance, retail, insurance, medical treatment and achieved remarkable results, but the application of data mining in the field of human resource management is still at the initial stage, its commitment, popularity, technical maturity, etc. There are big limita- tions. In this context, taking dimission management as an example, this paper USES the grey relational analysis method of data mining technology to conduct quantitative evaluation of dimission factors from the perspective of data and risk, guides managers to make de- cisions through empirical analysis results, and further emphasizes the necessity of data for enterprises and human resource managers.
作者
赖华强
王三银
仲崇高
Lai Huaqiang;Wang Sanyin;Zhong Chonggao(Zijin College of Nanjing University of Technology,Nanjing,Jiangsu 210094;School of Finance and Economics,Jiangsu University,Zhenjiang,Jiangsu 212013)
出处
《江苏商论》
2018年第8期42-47,共6页
Jiangsu Commercial Forum
关键词
人力资源管理
数据挖掘
离职管理
human resource management
Data mining
Leave management Classification no. ： document identification code： A
