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Publication Detailed Description
Human Resource Analytics and Data-Driven Decision-Making - Case of the Commercial Airline Sector in Portugal
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Abstract
This book illustrates how human resource leaders can harness data and AI to solve workforce challenges from turnover and skill shortages to low engagement and strategic misalignment. Using the commercial airline sector in Portugal as a case study, the book introduces a new job satisfaction scale and a predictive churn model providing a practical roadmap for improving talent retention, strengthening leadership, and building a thriving, future-ready workforce.
Bridging academic insight with real-world applications, this book is useful for researchers, scholars and academics as well as practitioners, leaders, and executives in HRM, organizational psychology, aviation management, and data-driven decision-making.
Acknowledgements
Human resource analytics
Keywords
Human resource analytics,people analytics,employee churn,job satisfaction,airline industry resource analytics,Strategic Human Resource Management,Strategic Alignment,Employee Retention Analytics,Turnover Intentions,Job Satisfaction Metrics,Predicting Employee Turnover,HR Analytics in Aviation,Data-Driven HR Strategy,Digital Transformation in HR,Evidence-Based HRM,Artificial Intelligence
Fields of Science and Technology Classification
- Economics and Business - Social Sciences
Contributions to the Sustainable Development Goals of the United Nations
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