Determinates of Employee Voluntary Turnover and Forecasting in R&D Departments: A Case Study
作者: Xiaojuan ZhuRapinder SawhneyGirish Upreti
刊名: Studies in Engineering and Technology, 2016, Vol.3 (1), pp.64-73
来源数据库: Redfame Institute
DOI: 10.11114/set.v3i1.1635
原始语种摘要: employee voluntary turnover factors using logistic regression and forecasts employee tenure using a decision tree for four research and development departments in a large U.S organization. Company job title, gender, ethnicity, age and years of service significantly affect employee voluntary turnover behavior determined by logistic regression. The findings assist managers and human resource departments in specific employee retention strategies to reduce R&D departments’ voluntary turnover rate. The decision tree method built a five-level depth tree model with 17 nodes. This model has the lowest AIC value and the best performance in the validation dataset. Age at hire, jobtitle, division, and race are statistically significant factors to predict employee tenure. The most important...
全文获取路径: Redfame Institute  (合作)
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关键词翻译
关键词翻译
  • voluntary 随便的
  • decision 决定
  • employee 雇员
  • turnover 代谢回转
  • making 制定
  • hiring 租用
  • variable 变量
  • tenure 保有地
  • regression 海退
  • division