Abstract
ABSTRACT Using a mixed-method technique, the present study investigates the causal relationship between consumer judgments about airline service quality and their online recommendations. It also examines the essential attributes that determine key airline service quality dimensions. The current research was conducted on passenger reviews, ratings, and recommendations data (1270 business class and 2464 economy class passengers) from Skytraxratings.com of three major airlines using logistic regression and sentiment analysis. The empirical investigation of service ratings depicts that the fitted logit model adequately explains airline service quality–airline recommendation relationship for business and economy class travelers. Furthermore, this study identifies the crucial service attributes and their sentiment strengths toward key service dimensions. The study results enable a comprehensive understanding of airline service quality based on real-time consumer insights, which can help strategize and develop customized interventions for airline service designs and realignments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Quality Assurance in Hospitality & Tourism
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
