scholarly journals Machine learning based solution for predicting voluntary employee turnover in organization

2020 ◽  
Author(s):  
Janis Judrups ◽  
Ronalds Cinks ◽  
Ilze Birzniece ◽  
Ilze Andersone
Keyword(s):  
Machine Learning ◽  
Employee Turnover ◽  
Voluntary Employee Turnover

Surveying the forest: A meta-analysis, moderator investigation, and future-oriented discussion of the antecedents of voluntary employee turnover

2017 ◽  
Vol 71 (1) ◽  
pp. 23-65 ◽  
Author(s):  
Alex L. Rubenstein ◽  
Marion B. Eberly ◽  
Thomas W. Lee ◽  
Terence R. Mitchell
Keyword(s):  
Employee Turnover ◽  
Meta Analysis ◽  
Voluntary Employee Turnover

scholarly journals An introductory study to machine learning and its application to employee turnover prediction

2019 ◽  
Author(s):  
João Pedro Pazinato Cruz de Oliveira ◽  
Leonardo Tomazeli Duarte
Keyword(s):  
Machine Learning ◽  
Extreme Learning Machine ◽  
Test Data ◽  
Employee Turnover ◽  
Learning Machine ◽  
Elm Classifier

The objective of this paper is to study the problem of employee turnover prediction and to develop a classifier that uses employee's data to identify those who have a greater tendency to leave the company voluntarily. For such purpose, the data of 8724 employees from a real Brazilian beverage company was used to train an Extreme Learning Machine (ELM) classifier, assigning to each sample a weight inversely proportional to the size of the respective class. After the training, the classifier displayed an overall accuracy of 79% of the test data.

scholarly journals Power spectral and bispectral study of factors affecting employee turnover

2018 ◽  
Vol 10 (1) ◽  
pp. 1727-1734
Author(s):  
Vivian W.Y. Tam ◽  
Khoa N. Le
Keyword(s):  
Employee Turnover ◽  
Turnover Rate ◽  
Mainland China ◽  
Working Environment ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Power Spectral ◽  
Voluntary Employee Turnover ◽  
Major Factors ◽  
Colleague Relationships

Abstract Voluntary employee turnover can cause organ­izations to lose profits and competitiveness. Unexpected employee turnover may also result in project delay and reduction in project quality. It is important to control employee turnover rate and maintain good employees within an organization. This paper investigates the major causes of voluntary employee turnover in engineer­ing industries. Australia, Mainland China, and Taiwan were selected for the investigation. Questionnaires were administered, and structured interviews were conducted. Power spectrum was used for the analysis. It was found that “Good physical working environment”, “Receiving advanced training”, and “Short travel distance between home and work” are the major job-related ideal factors for the Australian, Mainland China, and Taiwan respondents, respectively. However, “Far distance between work and home” and “Dislike the colleague relationships” are found as the major factors for leaving jobs for the Australian/ Taiwan and Mainland China respondents, respectively. Recommendations to improve and to control employee turnover rate are also discussed.

An Unfolding Model of Voluntary Employee Turnover

1996 ◽  
Vol 39 (1) ◽  
pp. 5-36 ◽  
Author(s):  
Thomas W. Lee ◽  
Terence R. Mitchell ◽  
Lowell Wise ◽  
Steven Fireman
Keyword(s):  
Employee Turnover ◽  
Unfolding Model ◽  
Voluntary Employee Turnover
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