Prospects, Pathways and Imperatives
Buch, Englisch, 249 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-981-9226-22-1
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: Strategic Human Resource Analytics and Intelligent Data-Driven Systems: An Introduction.- 2. The Role of Strategic Human Resources Analytics in Promoting Organizational Performance: A Case Study of State Universities in Zimbabwe.- 3. The Influence of AI Threats on Employee Behavior and Turnover Intentions.- 4. Enhancing Employee Data Management in Uganda’s Private Sector: Challenges, Benefits, and Pathways to Responsible Practices.- 5. Leveraging Personalized Employee Development Plans to Support Change Management Models in Academic Libraries in Zimbabwe.- 6. Exploration of Artificial Intelligence as a Catalyst for Human Resource Management Effectiveness.- 7. Ethics in Human Resource Analytics: Perspectives from Public and Private Organizations in Ghana.- 8. Adaptive Talent Acquisition Models for Navigating Change in a Dynamic Environment.- 9. Cyber Security Vulnerability and Organizational Performance: A Systematic Literature Review.- 10. Ethical Dilemmas of Generative AI and Large Language Models in Human Resource Management.- 11. Human Resource Analytics: Challenges and Prospects for Human Resource Effectiveness.-Strategic Human Resource Analytics and Intelligent Data-Driven Systems: A Conclusion.




