Employee Attrition Prediction in Industries using Machine Learning Algorithms
Employee attrition is a major issue among all employee-related issues in the current setting,
notwithstanding changes in the external environment. Attrition is defined as a gradual …
notwithstanding changes in the external environment. Attrition is defined as a gradual …
Employee turnover prediction system
M Jhaver, Y Gupta, AK Mishra - 2019 4th International …, 2019 - ieeexplore.ieee.org
Employee turnover has been recognized as a main problem for industries due to its contrary
influence on work place throughput and long term development tactics. To resolve this issue …
influence on work place throughput and long term development tactics. To resolve this issue …
Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data
F Mozaffari, M Rahimi, H Yazdani… - … : An International Journal, 2023 - emerald.com
Purpose This research intends to develop a model for predicting employees at a high-risk
attrition and identify the most important factors affecting them. Design/methodology …
attrition and identify the most important factors affecting them. Design/methodology …
Predictive modelling of employee turnover in Indian IT industry using machine learning techniques
SN Khera, Divya - Vision, 2018 - journals.sagepub.com
Information technology (IT) industry in India has been facing a systemic issue of high attrition
in the past few years, resulting in monetary and knowledge-based loses to the companies …
in the past few years, resulting in monetary and knowledge-based loses to the companies …
[PDF][PDF] The research progress and prospect of employee turnover intention
S Hongvichit - International business research, 2015 - pdfs.semanticscholar.org
Employee turnover management is an important aspect of human resource management,
how to effectively control and predict employee turnover becomes an important content of …
how to effectively control and predict employee turnover becomes an important content of …
Application of ordinary least squares regression and neural networks in predicting employee turnover in the industry
BY Marquez, A Realyvásquez-Vargas… - Archives of …, 2024 - ojs.bonviewpress.com
Employee turnover, also known as labor turnover or employee attrition, refers to the flow of
employees entering and leaving an organization within a specific time. It is an indicator used …
employees entering and leaving an organization within a specific time. It is an indicator used …
The prediction of workplace turnover using machine learning technique
Turnover in the workplace is a significant cause of lost productivity of the organization and
the root cause of the company's performance to many employers. Managing turnover is …
the root cause of the company's performance to many employers. Managing turnover is …
[HTML][HTML] A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
J Park, S Kwon, SP Jeong - Journal of Big Data, 2023 - Springer
This study aims to improve the accuracy of forecasting the turnover intention of new college
graduates by solving the imbalance data problem. For this purpose, data from the Korea …
graduates by solving the imbalance data problem. For this purpose, data from the Korea …
Building prediction models with grouped data: A case study on the prediction of turnover intention
The availability of big data spurred the application of modern prediction analytics (eg,
machine learning methods) in human resource management (HRM) research and practice …
machine learning methods) in human resource management (HRM) research and practice …
Application of planned behavior framework in understanding factors influencing intention to leave among alumnae of the faculty of economics University of Indonesia …
BM Mukhlish, I Salehudin - Proceedings of 3rd International …, 2008 - papers.ssrn.com
Employee's turnover or job-switching behavior has always been a major concern of every
human resources manager in relation to human capital investments. Many researches have …
human resources manager in relation to human capital investments. Many researches have …