An Application of Heterogeneous Bayesian Regression Models with Time Varying Coefficients to Explore the Relationship between Customer Satisfaction and Shareholder Value
作者: Duncan K. H. FongQian ChenZhe ChenRui Wang
作者单位: 1Department of Marketing, Pennsylvania State University, University Park, USA
2Department of Statistics, Pennsylvania State University, University Park, USA
3Department of Marketing, Peking University, Beijing, China
刊名: Open Journal of Statistics, 2017, Vol.07 (01), pp.36-53
来源数据库: Scientific Research Publishing Journal
DOI: 10.4236/ojs.2017.71004
原始语种摘要: The authors propose new Bayesian models to obtain individual-level and time-varying regression coefficients in longitudinal data involving a single observation per response unit at each time period. An application to explore the association between customer satisfaction and shareholder value is included in the paper. The Bayesian models allow the flexibility of incorporating industry and firm factors in the context of the application to help explain variations of the regression coefficients. Results from the analysis indicate that the effect of customer satisfaction on shareholder value is not homogeneous over time. The proposed methodology provides a powerful tool to explore the relationship between two important business concepts.
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关键词翻译
关键词翻译
  • between 在中间
  • flexibility 柔顺性
  • shareholder 股东
  • customer 用户
  • methodology 方法学
  • satisfaction 满意
  • proposed 建议的
  • regression 海退
  • industry 工业
  • Application 应用