Smart Retention: Leveraging Machine Learning to Enhance Employee Engagement in Remote Work

With the rise of remote work, organizations face challenges in employee engagement. AI and machine learning can enhance human resource management by optimizing workforce planning and predicting needs. This study evaluates how machine learning improves employee engagement in virtual environments, offering strategies for smart retention and highlighting the need for further research.

Publication Details

Journal
Electronic Archive of Ural Federal University (ELAR UrFU)
Published
2025-01-01
Primary Topic
Nitric Oxide and Endothelin Effects
Type
article
Field-Weighted Citation Impact
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article

Smart Retention: Leveraging Machine Learning to Enhance Employee Engagement in Remote Work

Electronic Archive of Ural Federal University (ELAR UrFU)
Nitric Oxide and Endothelin Effects
article

Smart Retention: Leveraging Machine Learning to Enhance Employee Engagement in Remote Work

article en

Abstract

With the rise of remote work, organizations face challenges in employee engagement. AI and machine learning can enhance human resource management by optimizing workforce planning and predicting needs. This study evaluates how machine learning improves employee engagement in virtual environments, offering strategies for smart retention and highlighting the need for further research.

Electronic Archive of Ural Federal University (ELAR UrFU)
Decent work and economic growth
Openalex Percentile: Top 42%
Nitric Oxide and Endothelin Effects
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Smart Retention: Leveraging Machine Learning to Enhance Employee Engagement in Remote Work · Electronic Archive of Ural Federal University (ELAR UrFU) (2025) | TGRS Research Map | TGRS