Strategic Human Resource Analytics and Intelligent Data-Driven Systems

Springer, 2026

This book delves into the under-researched intersection of strategic human resource analytics and intelligent data-driven systems. As organizations increasingly turn to artificial intelligence and machine learning to enhance HR functions, chapters within this book critically investigate how these technologies are reshaping strategic decision-making, skill development, and organizational agility. Drawing on empirical evidence and real-world case studies, the book equips scholars, practitioners, and policymakers with cutting-edge insights and strategic tools to navigate the evolving landscape of human resource management. It explores the transformative potential of intelligent systems in recruitment, training, performance evaluation, compensation, retention, and employee well-being while also considering the accompanying ethical dilemmas, privacy concerns, and cybersecurity risks. By addressing the ongoing debates and controversies surrounding people analytics, this book offers a timely contribution to the discourse on human-algorithmic collaboration in the workplace. It is an essential resource for those seeking way in which to best use the power of data-driven HR strategies in this era of rapid technological change.

• Curatore: Mufaro Dzingirai, Sulaiman Olusegun Atiku
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9789819226238