An Objective-Based Entropy Approach for Interpretable Decision Tree Models in Support of Human Resource Management: The Case of Absenteeism at Work

An Objective-Based Entropy Approach for Interpretable Decision Tree Models in Support of Human Resource Management: The Case of Absenteeism at Work

The negative impact of absenteeism on organizations’ productivity and profitability is well established. To decrease absenteeism, it is imperative to understand its underlying causes and to identify susceptible employee subgroups. Most research studies apply hypotheses testing and regression models...

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Bibliographic Details
Main Authors: Gonen Singer, Izack Cohen
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Entropy
Subjects:
human resource management
absenteeism
ordinal classification
information gain
decision tree
interpretable machine learning models
Online Access:https://www.mdpi.com/1099-4300/22/8/821

Internet

https://www.mdpi.com/1099-4300/22/8/821

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