Employee Attrition Prediction in Industries using Machine Learning Algorithms

S Gupta, G Bhardwaj, M Arora, R Rani… - … on Computing for …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

[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 …

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 …

The prediction of workplace turnover using machine learning technique

Y Choi, JW Choi - International Journal of Business Analytics (IJBAN), 2021 - igi-global.com
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 …

[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 …

Building prediction models with grouped data: A case study on the prediction of turnover intention

S Yuan, B Kroon, A Kramer - Human Resource Management …, 2024 - Wiley Online Library
The availability of big data spurred the application of modern prediction analytics (eg,
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 …