eBook, PDF

Human Capital Analytics (eBook, PDF)

Exploring the HR Spectrum in Industry 5.0

Redaktion: Gupta, Deepa; Balusamy, Balamurugan; Dhanaraj, Rajesh Kumar; Westerman, Jim; Budhwar, Pawan; Gupta, Mukul

Beschreibung

The book equips readers with essential insights and strategies for leveraging cutting-edge technology and human capital analytics, ensuring organizations thrive in the era of human-robot collaboration and sustainable workforce development.

Human Capital Analytics: Exploring the HR Spectrum in Industry 5.0 provides a comprehensive investigation into the ever-changing junction of human capital and cutting-edge technology in the context of the Fifth Industrial Revolution. This volume emphasizes the revolutionary role that human capital analytics plays in changing workforce management, talent development, and HR strategies. This position is particularly relevant as organizations transition into Industry 5.0, where human-robot collaboration is the norm. The purpose of this book is to provide a forward-looking perspective on how data-driven human resource strategies will become vital for boosting worker potential and driving organizational success. This is accomplished by integrating developing technologies such as artificial intelligence, machine learning, and robots.

Readers will find that this book:

• Explores the transformative role of human-robot collaboration, emerging technologies, and strategic HR planning in the context of the Fifth Industrial Revolution;
• Provides a comprehensive overview of how predictive analytics and human capital analytics can enhance workforce management, employee engagement, and performance measurement;
• Focuses on how HR 5.0 contributes to advancing the United Nations Sustainable Development Goals, driving both social and business impact;
• Includes empirical studies, case studies, and real-world examples of implementing Industry 5.0 in organizations;
• Provides actionable strategies for HR professionals to navigate the digital transformation of human resource management, incorporating AI, robotics, and data-driven approaches.

Audience

Human resource developers, analysts, professionals, business executives, data scientists, consultants, professors, academics, and students exploring ways to leverage technology for Industry 5.0.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 6.46MB

Barrierefreiheit

• Text-to-Speech

Autor

Deepa Gupta, PhD is a distinguished academician with over 24 years of experience in management studies, currently serving as Dean at GL Bajaj Institute of Management. Her expertise extends to organizational development, corporate relations, and international collaboration. Mukul Gupta, PhD is a professor at GL Bajaj Institute of Management with over 25 years of experience in teaching and the corporate sector. His research and expertise in consumer behavior are invaluable for understanding the human-centric aspects of Human Capital Analytics, offering insights into user behavior, adoption, and interaction with AI-driven systems and services. Pawan Budhwar, PhD is a professor of International Human Resource Management and the Associate Deputy Vice Chancellor International at Aston Business School. His research interests include personnel and human resource management, organizational performance, and artificial intelligence. Jim Westerman, PhD is a professor in the Department of Management at Appalachian State University, Boone, North Carolina, USA. His areas of expertise include human resource management, organizational behavior, leadership, sustainable business, and business ethics. Rajesh Kumar Dhanaraj, PhD is a professor at Symbiosis International University. His research in areas such as machine learning, cyber-physical systems, and wireless sensor networks is directly relevant to the core technologies underpinning computational intelligence in HR. Balamurugan Balusamy, PhD is an Associate Dean of Students at Shiv Nadar University with 12 years of teaching experience. He has published over 200 papers and over 80 books in collaboration with professors worldwide. His research interests include engineering education, blockchain, and data sciences.

Produktdetails

• Verlag: Wiley-Scrivener
• Seitenzahl: 408
• Erscheinungstermin: 10. Juni 2025
• Englisch
• ISBN-13: 9781394238347
• Artikelnr.: 74400745