Strategic Human Resource Analytics and Intelligent Data-Driven Systems
Edited by Mufaro Dzingirai () and
Sulaiman Olusegun Atiku ()
in Springer Books from Springer
Date: 2026
ISBN: 978-981-92-2623-8
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Chapters in this book:
- Strategic Human Resource Analytics and Intelligent Data-Driven Systems: An Introduction
- Mufaro Dzingirai and Sulaiman Olusegun Atiku
- The Role of Strategic Human Resources Analytics in Promoting Organizational Performance: A Case Study of State Universities in Zimbabwe
- Kebiat Mukuze
- The Influence of AI Threats on Employee Behavior and Turnover Intentions
- Shikha Saloni and Neema Gupta
- Enhancing Employee Data Management in Uganda’s Private Sector: Challenges, Benefits, and Pathways to Responsible Practices
- Mahadih Kyambade and Afulah Namatovu
- Leveraging Personalized Employee Development Plans to Support Change Management Models in Academic Libraries in Zimbabwe
- Janeth Matingwena and Admore Mashokoh
- Exploration of Artificial Intelligence As a Catalyst for Human Resource Management Effectiveness
- Abimbola Foluso Ojapinwa, Rasheed Olawale Azeez and Foluso Ilesanmi Jayeoba
- Ethics in Human Resource Analytics: Perspectives from Public and Private Organizations in Ghana
- Richard Afedzie and Eugene Okyere Kwakye
- Adaptive Talent Acquisition Models for Navigating Change in a Dynamic Environment
- K. A. Dhanya, Shikha Malhotra and H. Sandhya
- Cybersecurity Vulnerability and Organizational Performance: A Systematic Literature Review
- Ibrahim Olanrewaju Lawal, Evwiekpamare Fidelis Olori and Ismaila Yusuf
- Ethical Dilemmas of Generative AI and Large Language Models in Human Resource Management
- Brian Mabuyana, David Mhlanga, Mufaro Dzingirai and Emmanuel Ndhlovu
- Human Resource Analytics: Challenges and Prospects for Human Resource Effectiveness
- Ibrahim Olanrewaju Lawal
- Strategic Human Resource Analytics and Intelligent Data-Driven Systems: A Conclusion
- Mufaro Dzingirai and Sulaiman Olusegun Atiku
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-92-2623-8
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DOI: 10.1007/978-981-92-2623-8
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