Big Data Analytics in HRM and Its Impact on Internal Learning and Competitive Advantage

This study examines the under-research phenomenon surrounding big data analytics (BDA) in human resource management (HRM), internal learning, and competitive advantage, offering valuable theoretical and managerial insights. Drawing on the knowledge-based view (KBV), this study proposes and empirically tests a model that highlights how BDA enhances internal learning and, in turn, contributes to sustained competitive advantage. The findings reveal that BDA in HRM positively influences internal learning, contributing to sustained competitive advantage. This research demonstrates that organizations leveraging BDA in HRM to support internal learning are more prepared to adapt to market changes and sustain a competitive advantage.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icaibd64986.2025.11082066
Primary Topic
AI and HR Technologies
Type
article
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article

Big Data Analytics in HRM and Its Impact on Internal Learning and Competitive Advantage

Guangming Cao
AI and HR Technologies
article

Big Data Analytics in HRM and Its Impact on Internal Learning and Competitive Advantage

Guangming Cao
article en

Abstract

This study examines the under-research phenomenon surrounding big data analytics (BDA) in human resource management (HRM), internal learning, and competitive advantage, offering valuable theoretical and managerial insights. Drawing on the knowledge-based view (KBV), this study proposes and empirically tests a model that highlights how BDA enhances internal learning and, in turn, contributes to sustained competitive advantage. The findings reveal that BDA in HRM positively influences internal learning, contributing to sustained competitive advantage. This research demonstrates that organizations leveraging BDA in HRM to support internal learning are more prepared to adapt to market changes and sustain a competitive advantage.

Ajman University (AE)
Openalex Percentile: Top 79%
AI and HR Technologies
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