Prediction of employee attrition using work-place related variables

Abstract

Employee attrition is one of the most important issues faced by organizations today. Different organizations employ different strategies to minimize employee attrition. There have been many studies which relate employee attrition to various variables including demographic and behavioral variables. Various models have been used to predict the employee attrition. Many of these models use classification techniques such as classification trees and artificial neural networks. The variables used in many of the models are either demographic or behavioral variables. This study used classification models using work-place related variables to predict employee attrition.