A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality

The novel coronavirus (COVID-19) outbreak has impacted the aviation industry worldwide. Several restrictions and regulations have been implemented to prevent virus’s spread maintain airport operations. To recover trustworthiness of air travelers in new normality, improving service quality (ASQ) is necessary, ultimately increasing passenger satisfaction airports. This research focuses on relationship between ASQ dimensions airports Thailand. A three-stage analysis model was conducted by integrating structural equation modeling, Bayesian networks, artificial neural networks identify critical that highly impact overall satisfaction. findings reveal facilities, wayfinding, security are three dominant influencing insight could help managers operators satisfaction, increase trustworthiness, efficiency not only this severe crisis but also normality.