Strategic Human Capital Optimization in Airlines: Implementing KPI-Driven Management for Workforce Excellence

SeyyedAbdolHojjat  MoghadasNian

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Эта статья является препринтом и не была отрецензирована.
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Strategic Human Capital Optimization in Airlines: Implementing KPI-Driven Management for Workforce Excellence

S. MoghadasNian

2026-05-18

https://doi.org/10.24108/preprints-3115267

This paper explores the strategic implementation of Key Performance Indicators (KPIs) in the airline industry's human capital management. The study adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews with HR professionals and executives in the airline sector. The research focuses on identifying critical KPIs in various HR functions, evaluating their effectiveness, and discussing challenges in implementation. Findings reveal that KPI-driven strategies significantly enhance recruitment efficiency, employee engagement, performance management, and learning and development. The study also highlights a positive correlation between KPI implementation and improved organizational outcomes such as operational efficiency and employee satisfaction. However, challenges like selecting relevant KPIs, data integration, and ensuring employee buy-in were identified. Based on the findings, strategic recommendations for HR practitioners in the airline industry are provided. The paper concludes with suggestions for future research directions, emphasizing the need for longitudinal studies, cross-industry comparisons, and exploration of the impact of emerging technologies on KPI-driven human capital management. This research contributes to the strategic human resource management literature by offering insights into the effective use of KPIs in enhancing organizational performance and competitiveness in the airline industry.

Ссылка для цитирования:

MoghadasNian S. 2026. Strategic Human Capital Optimization in Airlines: Implementing KPI-Driven Management for Workforce Excellence. PREPRINTS.RU. https://doi.org/10.24108/preprints-3115267

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