Adapting HR Strategies to Enhance CRM in Aviation: A Qualitative Study on Emerging Technologies Grounded in Socio-Technical Systems Theory

Özet

Purpose – This study aims to explore how Human Resource Management (HRM) strategies can enhance Crew Resource Management (CRM) effectiveness in the context of emerging technologies such as artificial intelligence (AI) and augmented reality (AR) in aviation. While these technologies improve operational efficiency, they also highlight the critical need for maintaining human oversight and decision-making processes.
Design/methodology/approach – The research employs a qualitative methodology grounded in Socio-Technical Systems (STS) theory. Data were collected through interviews with 15 aviation experts, including pilots, HR professionals, and operations managers, and analyzed using thematic analysis with NVivo software.
Results – The findings indicate that while automation significantly enhances operational efficiency, maintaining manual skills and human decision-making remains essential for sustainable operations. The study also identifies the need for HR strategies to adapt to technological change through enhanced training programs, continuous learning initiatives, and revised recruitment practices.
Discussion – This study contributes to STS theory by emphasizing the importance of balancing technological and social systems to ensure effective CRM in aviation. Practical recommendations for HR strategies are provided, including improving training programs, fostering a culture of continuous learning, and modernizing recruitment processes to support the successful integration of emerging technologies in aviation.