基于贝叶斯网络模型的公司高级管理人员薪酬满意度分析  

Analysis of the compensation satisfaction of senior managers based on the model of Bayesian network

作　　者：王兆君[1] 王冬鑫 

机构地区：[1]青岛科技大学经济与管理学院,山东青岛266061

出　　处：《青岛科技大学学报（社会科学版）》2013年第4期60-64,共5页Journal of Qingdao University of Science and Technology(Social Sciences)

基　　金：青岛市软科学计划项目(13-1-3-139-12-<2>-zhc)

摘　　要：以Heneman提出的薪酬满意度的几个考察维度为参考变量,将贝叶斯网络引入薪酬满意度分析中,构建贝叶斯网络模型,通过因果推理和诊断推理对S公司的薪酬满意度进行预测和诊断,并对实证结果进行分析。研究结果表明,贝叶斯网络用图形的方法描述数据间的相互关系,语义清晰,可理解性强,有助于利用数据间的因果关系进行预测与诊断,贝叶斯网络的应用效果也是比较令人满意的。The Bayesian network model was constructed by introducing Bayesian network into the analysis of compensation satisfaction and referring to the variables put forward by Heneman. We forecast and diagnose the compensation satisfaction of s CPA by the way of causal reasoning and diagnostic reasoning. The result shows that Bayesian network works well in describing the relationship of data, which is helpful to forecast and diagnose cause-effect relations of data, and it is proved that the Bayesian network is effective in practice.

关 键 词：贝叶斯网络 薪酬满意度 预测 诊断 

分 类 号：F276.6[经济管理—企业管理]