Abstract
This study reconfigures the user generated content in online hotel reviews to provide comparative and benchmarking insights about customer satisfaction. Hangzhou, an emerging tourism city in China, was selected for the study. Over a thousand user-generated reviews about four and five star hotels that were posted on Agoda.com were coded and analysed. Seventeen attributes influencing customer satisfaction were identified. The attributes were classified on the type of influence exerted: satisfiers (work in a solely positive direction), dissatisfiers (work in an exclusively negative direction), bidirectional forces (influence either positive or negative outcomes), and neutrals (no marked influence). The approach enabled the comparison of customer satisfaction between 4 and 5 star hotels, properties with different ownership, and the views of guests from different origins. The study suggests that a focused reclassification of the online review data can deliver powerful customer feedback messages for both researchers and hotel managers.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
