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Author Background

Arthur C. Dela Peña is an Associate Professor at the Philippine State College of Aeronautics, Basa Air Base Campus, with over two decades of experience in aviation education. He holds a Bachelor of Science in Aircraft Maintenance Engineering and a Master of Education in Aeronautics Management, and has completed 39 academic units toward a Doctorate in Aeronautical Management. His professional focus spans aircraft maintenance, aviation safety, and quality management systems, with a strong commitment to research, student mentorship, and curriculum innovation. Currently, his research explores advanced maintenance technologies, sustainable aviation, and educational strategies, contributing actively to national and international conferences and journals in the field.

Abstract

A complex interaction of human factors, mental health, organizational dynamics, and emerging technologies influences aviation maintenance safety in the Philippines. This study aims to develop an integrated framework to address these aspects and reduce maintenance-related errors. Using a mixed-methods approach based on Creswell’s pragmatic paradigm, the research surveyed 200 participants, including aviation maintenance technicians (AMTs), supervisors, and managers, and conducted in-depth interviews and focus groups. Quantitative analysis revealed that fatigue was a significant contributor to maintenance errors, accounting for 45% of recorded incidents and exhibiting a strong correlation with error rates (r = 0.71, p = 0.005). Incorporating human factors and emerging technologies revealed an even stronger link with performance outcomes (r = 0.81, β = 0.65, p = 0.001). Mental health indicators, such as burnout (r = 0.69), anxiety (r = 0.66), and work–life imbalance (r = 0.58), were significantly related to higher error rates. Qualitative findings highlighted issues in leadership, inconsistent safety enforcement, and limited access to mental health support, especially in smaller, resource-limited organizations. While technologies like artificial intelligence (AI)-driven predictive maintenance and digital twins offer clear advantages, their adoption is limited by cost and training barriers. This study proposes an expanded Human Factors Analysis and Classification System (HFACS) framework that includes mental health and technology, offering a comprehensive approach to risk management. Policy suggestions include the Civil Aviation Authority of the Philippines (CAAP)-mandated fatigue management programs, mental health initiatives, and incentives for adopting new technologies. This integrated model provides a scalable foundation to improve the safety, performance, and resilience of aviation maintenance operations.

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