Enhancing employees' quality of work life and engagement to foster corporate social responsibility: a data mining approach

S Sareminia, F Sajedi Haji - Industrial and Commercial Training, 2024 - emerald.com
Purpose This paper aims to present a dynamic model for strategic and personalized
decision-making in human resources (HR), using data mining techniques to enhance …

[PDF][PDF] Employee Attrition Prediction using Nested Ensemble Learning Techniques

MS Alshiddy, BN Aljaber - International Journal of …, 2023 - pdfs.semanticscholar.org
In many industries, including the IT industry, rising employee attrition is a major concern.
Hiring a candidate for an unsuitable job because of issues with the employment process can …

Variable Minimization-based Prediction Model with Enhanced Genetic Algorithm using Flip Multi-sliced Average Crossover (FMSAX) Operator

JCM Bustillo, AM Sison, MY Orong… - 2023 International …, 2023 - ieeexplore.ieee.org
The genetic Algorithm (GA) relies on the effective utilization of the crossover operator, which
plays a crucial role in mitigating premature convergence, may occur when genetic operators …

On-Demand Job-Based Recruitment For Organisations Using Artificial Intelligence

N Jayakumar, AK Maheshwaran… - … on Networking and …, 2023 - ieeexplore.ieee.org
Employee attrition, also referred to as the loss of personnel over time in a business, occurs
for a variety of inescapable reasons. The attrition percentage in 2022 will be 20.3 …

[HTML][HTML] Applying Machine Learning to Human Resources Data: Predicting Job Turnover among Community Mental Health Center Employees

S Fukui, W Wu, J Greenfield, MP Salyers… - The journal of mental …, 2023 - ncbi.nlm.nih.gov
Background: Human resources (HR) departments collect extensive employee data that can
be useful for predicting turnover. Yet, these data are not often used to address turnover due …

Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier

K Konar, S Das, S Das - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Attrition of employees is vital for any organization as it significantly influences productivity
and hampers the long-term growth strategies of the organization. Since employee attrition …

An Analytical Review on the Impact of Artificial Intelligence on the Business Industry: Applications, Trends, and Challenges

K Gurjar, A Jangra, H Baber, M Islam… - IEEE Engineering …, 2024 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) in business processes has revolutionized many
industries by automating tasks, improving decision-making processes, and enhancing …

Employee Attrition Prediction in the USA: A Machine Learning Approach for HR Analytics and Talent Retention Strategies

MS Gazi, M Nasiruddin, S Dutta… - Journal of Business …, 2024 - al-kindipublisher.com
In the dynamic business domain in the USA, human capital is one of the most instrumental
assets for companies. Maintaining high performance and reducing employee attrition has …

A supervised machine learning model to optimize human resources analytics for employee churn prediction

V Musanga, E Tarambiwa… - 2022 1st Zimbabwe …, 2022 - ieeexplore.ieee.org
Employee churn is one of the most daunting challenges that an organization is likely to face
in its lifecycle. An unexpected employee departure can adversely impact service delivery …

Predicting Employee Attrition Using Machine Learning Algorithms

S George, KA Lakshmi… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Employees are considered the foundation of any organization. Due to their importance, the
Human resources department implements various policies to sustain them. Yet the attrition …