Optimizing Talent Acquisition Strategies An Analytical Approach to KPI-Driven Decision Making in the Airline Industry

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Authors: SeyyedAbdolHojjat MoghadasNian, Alemesadat Moghadasnian
Cited by: 0
References: 8

Abstract

The airline industry is highly competitive and dynamic, necessitating robust talent acquisition strategies to attract and retain top talent. This study explores the strategic implementation of Key Performance Indicators (KPIs) in optimizing talent acquisition within the airline sector. By adopting a mixed-methods approach, combining both quantitative and qualitative data, the research identifies critical KPIs that significantly enhance recruitment efficiency, candidate experience, and overall organizational performance. Key KPIs examined include time to fill, offer acceptance rate, quality of hire, candidate experience, recruitment cost per hire, and diversity hiring rate. The findings highlight the importance of a systematic, data-driven approach to recruitment, enabling airlines to make informed decisions that align with strategic business goals. The study also emphasizes the need for continuous KPI monitoring and adaptation to stay responsive to evolving industry trends and workforce dynamics. Future research directions include integrating emerging technologies such as AI and blockchain into KPI-driven recruitment strategies and conducting longitudinal studies to assess the long-term impact of these practices.

Fields of Study & Subjects

Employer Branding and e-HRM Human Resource and Talent Management AI and HR Technologies

Publication details

Publication date
23 February 2026
Language
EN
Document type
Preprint