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.
Table of Contents:
Chapter 1: Introduction Why HR Analytics Matters.- Chapter 2: Theoretical and Conceptual Foundations.- Chapter 3: The Bright Side From Insight to Strategy.- Chapter 4: The Dark Side of HR Analytics.- Chapter 5: Employee Churn and Job Satisfaction in Aviation.- Chapter 6: Methodology of the study.- Chapter 7: Insights from the Field Qualitative Findings.- Chapter 8: Measuring What Matters Quantitative Findings.- Chapter 9: Reframing HR Analytics through workforce retention.- Chapter 10: Future Agenda for HRA and limitations.
About the Author :
Antonio Pimenta de Brito is Assistant Professor of Management in Escola Superior de Ciências da Administração (ESCAD-IP) Luso at Universidade Lusofona, Portugal; and a Researcher at the Business Research Unit (BRU) at ISCTE - University Institute of Lisbon, Portugal. His research focuses on human resource analytics, strategic alignment, and digital transformation in human resource management (HRM). Dr. Pimenta de Brito has authored academic work on sustainable supply chains, aviation training systems, and the governance of religious organisations. Prior to academia, he worked in aviation and supply chain consultancy, bringing practical insight into his teaching and research.
Ana Maria da Palma Moreira is Professor of Organizational Psychology, Research Methodology, and Data Analysis at European University, Lisbon, Portugal.
