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2025 | OriginalPaper | Chapter

Mapping the Adoption of Big Data and Predictive Analytics in Strategic Human Resource Management

Authors : Adel Ismail Al-Alawi, Fatema Ahmed Al Bin Ali, Mariam Abdulla AlRashidi, Muneera Salem Albuainain

Published in: Opportunities and Risks in AI for Business Development

Publisher: Springer Nature Switzerland

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Abstract

This chapter delves into the rapidly evolving field of applying big data and predictive analytics in Strategic Human Resource Management (SHRM). It begins by setting the context of the digital age, where enterprises generate vast amounts of data, facilitating advancements in big data and predictive analytics. The chapter then focuses on the unique challenges faced when implementing these techniques in SHRM, including technical, organizational, and cultural barriers. It also explores the potential benefits, such as enhancing workforce planning and talent management. A systematic literature review is conducted to map the landscape of research in this area, identifying common themes, challenges, and opportunities. The review highlights the need for HR professionals to develop new skills and addresses the ethical concerns surrounding data privacy and bias. Additionally, it provides insights into the varying impacts across different industries and geographies. By synthesizing existing knowledge and identifying gaps, this chapter offers valuable insights for both practitioners and academics, aiming to guide future research and practical applications in this dynamic field.

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Literature
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Metadata
Title
Mapping the Adoption of Big Data and Predictive Analytics in Strategic Human Resource Management
Authors
Adel Ismail Al-Alawi
Fatema Ahmed Al Bin Ali
Mariam Abdulla AlRashidi
Muneera Salem Albuainain
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-65207-3_46

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