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Quantification of Turnover Danger with xCounter
Counterattacks in soccer are an important strategical component for goal scoring. Previous work in the literature has described their impact and has...
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Supporting Employee Health and Turnover
The pandemic era has brought a profound set of challenges to organizations of all industries and sizes. While the tech industry has generally been...
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An employee retention model using organizational network analysis for voluntary turnover
Contemporary research of employee social network analysis has grown far beyond the conventional wisdom of network and turnover theory; however, what...
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Predicting and explaining employee turnover intention
Turnover intention is an employee’s reported willingness to leave her organization within a given period of time and is often used for studying...
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Discovering Key Aspects to Reduce Employee Turnover Using a Predictive Model
High employee turnover is a phenomenon that occurs in different types of companies and often leads to losses that could affect the organization’s...
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Psychological Motivation Model of Employee Turnover Risk Management Based on ERP System
In the analysis of employee turnover motivation, there is a lack of quantitative feedback on turnover risk characteristics, resulting in a high...
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Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover
Employee turnover is one of the most important issues in human resource management, which is a combination of soft and hard skills. This makes it...
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A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
This study aims to improve the accuracy of forecasting the turnover intention of new college graduates by solving the imbalance data problem. For...
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Churn Prediction in Enterprises with High Customer Turnover
Most research about Machine Learning (ML) models for churn prediction has focused on sectors like telecommunications, while this problem can be...
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A multi-view time series model for share turnover prediction
Share turnover is a key indicator for investing in the stock market, which represents how easy or difficult it is to trade a stock. Several...
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Approximation Algorithms for Replenishment Problems with Fixed Turnover Times
We introduce and study a class of optimization problems we call replenishment problems with fixed turnover times: a very natural model that has...
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Enzyme Turnover Number Prediction Based on Protein 3D Structures
Protein function prediction has long been a widely discussed task in the field of synthetic biology, and it is of paramount importance for gaining a...
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Employee Turnover Prediction From Email Communication Analysis
One of the biggest problems faced by companies is the sudden departure of employees from the company. Such events may even result in a serious...
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Building a Resilient Cybersecurity Workforce: A Multidisciplinary Solution to the Problem of High Turnover of Cybersecurity Analysts
The high turnover of Security Operations Centre analysts, (SOC analysts), is a current issue being discussed globally, especially after the COVID-19...
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Comparing Machine Learning Correlations to Domain Experts’ Causal Knowledge: Employee Turnover Use Case
This paper addresses two major phenomena, machine learning and causal knowledge discovery in the context of human resources management. First, we...
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RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis
In human resource management, employee turnover problem is heavily concerned by managers since the leave of key employees can bring great loss to the...
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From the table to the sofa: The remote work revolution in a context of crises and its consequences on work attitudes and behaviors
In recent years educational professionals experienced a sudden shift to online work requiring them to adapt rapidly to the new digital landscape....
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Examining the Software Developers’ Perception in Open-Source Software of Blockchain Project Using Association Rules Mining
Developers are vital in enhancing blockchain projects like Bitcoin through feature additions, bug fixes, and performance optimization. However,...
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Impact of Stress on Faculties’ Attitudes: A Study of Higher Education Institutes
The current research investigated how the different sources of stress like role expectation conflict, inter-role distance, and stress due to...
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A Revamped Sparse Index Tracker Leveraging K–Sparsity and Reduced Portfolio Reshuffling
In financial engineering, sparse index tracking (SIT) serves as a specialized and cost-effective passive strategy that seeks to replicate a financial...