基于贝叶斯网络的质量管理实践对绩效的影响评价

Using Bayesian network to evaluate the effect of quality management practices on performance

提出了将结构方程模型与贝叶斯网络相结合,对因果关系进行预测和诊断的方法.该方法既发挥了结构方程模型基于理论的实证证实能力,又突出了贝叶斯网络处理非线性关系及预测和诊断的能力,有利于管理决策的制定.进一步将该方法应用到质量管理实践与绩效关系的研究中,明确了质量管理实践、质量绩效和企业绩效间的影响关系,为企业有效的质量决策提供了依据.该方法同样可应用于顾客关系管理、风险评价等领域.

This study proposed linking structural equation modeling（SEM） to Bayesian network,which can predict and diagnose causal relationships.The approach integrates the capability of SEM in empirical validation with the capability of Bayesian network in nonlinear relationship,prediction,and diagnosis. The application of this approach can facilitate effective decision making.This study applied the proposed integrated approach to understanding the links between quality management practices and performance, and identified the relationships among quality management practices,quality performance,and firm per- formance.This research benefits firm＇s effective decision making for quality management.The approach can be used to evaluate customer relationship and risk.