[HTML][HTML] A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation
This study presents an innovative methodology to predict employee turnover by integrating
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …
[HTML][HTML] Unrealistic Optimism Regarding Artificial Intelligence Opportunities in Human Resource Management
P Weber - International Journal of Knowledge Management (IJKM …, 2023 - igi-global.com
Artificial intelligence (AI) has many uses in domains like automotive and finance or business
divisions like human resource management (HRM). This study presents a survey that was …
divisions like human resource management (HRM). This study presents a survey that was …
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology
Employee attrition and absenteeism are major problems that affect many industries and
organizations, resulting in diminished productivity, elevated costs, and losses. These …
organizations, resulting in diminished productivity, elevated costs, and losses. These …
[HTML][HTML] Explainable prediction of node labels in multilayer networks: a case study of turnover prediction in organizations
In real-world classification problems, it is important to build accurate prediction models and
provide information that can improve decision-making. Decision-support tools are often …
provide information that can improve decision-making. Decision-support tools are often …
New methods for new data? An overview and illustration of quantitative inductive methods for HRM research
A Lacroux - arXiv preprint arXiv:2305.08889, 2023 - arxiv.org
" Data is the new oil", in short, data would be the essential source of the ongoing fourth
industrial revolution, which has led some commentators to assimilate too quickly the quantity …
industrial revolution, which has led some commentators to assimilate too quickly the quantity …
[HTML][HTML] Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms
Predicting nurse turnover is a growing challenge within the healthcare sector, profoundly
impacting healthcare quality and the nursing profession. This study employs the Synthetic …
impacting healthcare quality and the nursing profession. This study employs the Synthetic …
[HTML][HTML] Using machine learning-based binary classifiers for predicting organizational members' user satisfaction with collaboration software
Y Feng, J Park - PeerJ Computer Science, 2023 - peerj.com
Background In today's digital economy, enterprises are adopting collaboration software to
facilitate digital transformation. However, if employees are not satisfied with the collaboration …
facilitate digital transformation. However, if employees are not satisfied with the collaboration …
Comparing the Performance of Machine Learning Algorithms for Predicting Employees' Turnover
Y Aldossary, M Ebrahim, S Alhaddad… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Employee turnover directly impacts companies' performance due to losing qualified staff and
invested costs, so predicting the ability to turnover or staying will help companies reduce …
invested costs, so predicting the ability to turnover or staying will help companies reduce …
Utilizing machine learning to predict employee turnover in high-stress sectors
KB Adeusi, P Amajuoyi, LB Benjami - International Journal of …, 2024 - fepbl.com
This study investigates the application of machine learning techniques to predict employee
turnover in high-stress sectors. The primary objective is to enhance retention strategies by …
turnover in high-stress sectors. The primary objective is to enhance retention strategies by …
Enhancing Book Recommendations on GoodReads: A Data Mining Approach Based Random Forest Classification
With the rise of technology, new ways of finding books have emerged beyond traditional
bookstores. Websites like www. goodreads. com allow readers to share their book reviews …
bookstores. Websites like www. goodreads. com allow readers to share their book reviews …