AI Adoption in the Aviation Sector of Pakistan: A TAM based analysis of Air Traffic Control and Meteorology Domains
DOI:
https://doi.org/10.54938/ijemdss.2026.05.4.788Keywords:
Technology Adoption Model, Artificial Intelligence, Aviation Management, Air Traffic Control, Mediation Analysis, Pakistan Civil Aviation AuthorityAbstract
Artificial Intelligence and its related technologies in recent decade emerged as one of the most dominating transformative forces, restructuring economies, reshaping industries, and broadly influencing every other domain of life. This analysis, by deploying Technology Acceptance Model (TAM), attempted to analyze the adoption pattern of Artificial Intelligence (AI) based technologies for the Air Traffic Control (ATC) and Meteorology (MET) segments in the aviation sector of Pakistan. The study comprehensively analyzed the main constructs of technology acceptance model and their interaction towards adoption of artificial intelligence in the two critical domains of Pakistan’s aviation sector. 180 professionals with varying roles associated with ATC and MET departments under the broader umbrella of Pakistan Civil Aviation Authority (PCAA) were surveyed using a standard questionnaire concerning usefulness, usability, behavioral attributes, and actual adoption of AI technologies. The survey responses obtained were then used to construct indices related to Perceived Usefulness(PU), Perceived Ease of Use(PEOU), Behavioral Intentions(BI), and AI Adoption, the key inputs for the further mediation analysis conducted in the light of Preacher and Hayes's bootstrapping method. Study findings reveal that mediated by BI, both PU and PEOU significantly affect AI adoption in the MET department. Whereas in the ATC segment the relationship is found to be less significant, depicting a likely prevalence of institutional resistance or contextual constraints. The outcomes obtained in this study emphasize the greater policy role of user centric strategies to facilitate acceptance and influence positive behavioral intention towards AI technologies, contributing both practically as well as theoretically towards policy and technology adoption discourse.
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Copyright (c) 2026 Nayar Rafique, Shayan Mansoor , Mubashra Zahid, Anam Irshad
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