[HTML][HTML] Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques
J Park, Y Feng, SP Jeong - Scientific Reports, 2024 - nature.com
In recent years, the turnover phenomenon of new college graduates has been intensifying.
The turnover of new employees creates many difficulties for businesses as it is difficult to …
The turnover of new employees creates many difficulties for businesses as it is difficult to …
Employee turnover prediction using machine learning
L Alaskar, M Crane, M Alduailij - … in Data Science, Cyber Security and IT …, 2019 - Springer
High employee turnover is a common problem that can affect organizational performance
and growth. The ability to predict employee turnover would be an invaluable tool for any …
and growth. The ability to predict employee turnover would be an invaluable tool for any …
A Decade of Research on Data Mining Techniques for Predicting Employee Turnover: A Systematic Literature Review
This study presents a comprehensive and systematic review of the data mining (DM)
techniques used to predict employee turnover in the past decade. A total of 36 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 36 relevant peer …
[HTML][HTML] Predicting and explaining employee turnover intention
M Lazzari, JM Alvarez, S Ruggieri - … Journal of Data Science and Analytics, 2022 - Springer
Turnover intention is an employee's reported willingness to leave her organization within a
given period of time and is often used for studying actual employee turnover. Since …
given period of time and is often used for studying actual employee turnover. Since …
A Novel Approach To Unveiling Employee Attrition Patterns using Machine Learning Algorithms
R Gulmeher, U Aiman - Journal of Scientific Research and …, 2023 - jsrtjournal.com
The negative effects of employee turnover upon productivity at work as well as long-term
growth initiatives make it a top issue for businesses. To combat this issue, businesses are …
growth initiatives make it a top issue for businesses. To combat this issue, businesses are …
A machine learning-based analytical framework for employee turnover prediction
X Wang, J Zhi - Journal of Management Analytics, 2021 - Taylor & Francis
Employee turnover (ET) can cause severe consequences to a company, which are hard to
be replaced or rebuilt. It is thus crucial to develop an intelligent system that can accurately …
be replaced or rebuilt. It is thus crucial to develop an intelligent system that can accurately …
Employee turnover prediction using machine learning based methods
ZÖ Kısaoğlu - 2014 - open.metu.edu.tr
Employee turnover is a major problem for many companies because it brings with new
issues including hiring costs, overtime costs, low productivity. Hence, preventing or reducing …
issues including hiring costs, overtime costs, low productivity. Hence, preventing or reducing …
A machine learning approach to analyze and reduce features to a significant number for employee's turn over prediction model
Turnover of employee considers as one of the major issue that every company faces.
Especially, if the employee has advance skills at his/her working field, then the company …
Especially, if the employee has advance skills at his/her working field, then the company …
Early prediction of employee turnover using machine learning algorithms
Sažetak Employee turnover is a serious challenge for organizations and companies. Thus,
the prediction of employee turnover is a vital issue in all organizations and companies. The …
the prediction of employee turnover is a vital issue in all organizations and companies. The …
Data-Centric Predictive Modeling of Turnover Rate and New Hire in Workforce Management System
Employee turnover (ET) is a significant problem that businesses in all industries must deal
with. In order to avoid paying for hiring and training, businesses are constantly seeking ways …
with. In order to avoid paying for hiring and training, businesses are constantly seeking ways …