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 decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
This study presents a comprehensive and systematic review of the machine learning (ML)
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …
From big data to deep data to support people analytics for employee attrition prediction
NB Yahia, J Hlel, R Colomo-Palacios - Ieee Access, 2021 - ieeexplore.ieee.org
In the era of data science and big data analytics, people analytics help organizations and
their human resources (HR) managers to reduce attrition by changing the way of attracting …
their human resources (HR) managers to reduce attrition by changing the way of attracting …
Automated prediction of employee attrition using ensemble model based on machine learning algorithms
FK Alsheref, IE Fattoh, W M. Ead - Computational Intelligence …, 2022 - Wiley Online Library
Competent employees are a rare commodity for great companies. The problem of
maintaining good employees with experience threatens the owners of companies. The issue …
maintaining good employees with experience threatens the owners of companies. The issue …
[HTML][HTML] An ensemble learning model for predicting the intention to quit among employees using classification algorithms
AK Biswas, R Seethalakshmi, P Mariappan… - Decision Analytics …, 2023 - Elsevier
Employees are often more likely to use social media for job searching, which sometimes
causes withdrawal behaviour. This study proposes an ensemble learning model for …
causes withdrawal behaviour. This study proposes an ensemble learning model for …
Predictive model of employee attrition based on stacking ensemble learning
D Chung, J Yun, J Lee, Y Jeon - Expert Systems with Applications, 2023 - Elsevier
Since human resource is the most important resource of a company, employee attrition is an
important agenda from the company's point of view. However, employee attrition occurs due …
important agenda from the company's point of view. However, employee attrition occurs due …
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 …
A Machine Learning Approach to Employee Performance Prediction within Administrative Information Systems
This research project delves into the realm of employee performance prediction within
organizational contexts, employing the k-Nearest Neighbors algorithm as the core predictive …
organizational contexts, employing the k-Nearest Neighbors algorithm as the core predictive …
An improved machine learning-based employees attrition prediction framework with emphasis on feature selection
S Najafi-Zangeneh, N Shams-Gharneh… - Mathematics, 2021 - mdpi.com
Companies always seek ways to make their professional employees stay with them to
reduce extra recruiting and training costs. Predicting whether a particular employee may …
reduce extra recruiting and training costs. Predicting whether a particular employee may …
Employee attrition prediction using deep neural networks
Decision-making plays an essential role in the management and may represent the most
important component in the planning process. Employee attrition is considered a well-known …
important component in the planning process. Employee attrition is considered a well-known …