Published November 17, 2023 | Version v1
Journal article Open

Analyzing Employee Attrition Using Explainable AI for Strategic HR Decision-Making

  • 1. ROR icon Universidad Complutense de Madrid
  • 2. ROR icon Universitat Politècnica de València

Description

This record corresponds to the accepted manuscript (post-print) of the following journal article:

"Analyzing employee attrition using explainable AI for strategic HR decision-making"

This article addresses employee attrition as a critical challenge in organizational management and explores the use of Explainable Artificial Intelligence (XAI) to support strategic human resources decision-making. Machine learning models are applied to predict employee turnover, while XAI techniques provide transparency and interpretability of the factors influencing these predictions. The proposed approach enables decision-makers to identify early warning signals of attrition and design targeted retention strategies based on data-driven insights.

The final published version is available at the publisher’s website:
https://doi.org/10.3390/math11224677

This deposit is made for open access and dissemination purposes, in accordance with the publisher’s self-archiving policy.

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Additional details

Dates

Issued
2023-11-17
Online publication date

Software

Programming language
Python