What do hotel customers complain about? Text analysis using structural topic model

Publication Type

Journal Article

Publication Date

6-2019

Abstract

The ability to understand the causes of customers' complaints is critical for hotels to improve their service quality, customer satisfaction, and revenue. This study adopts a novel structural topic model text analysis method to analyze 27,864 hotel reviews in New York City, and show that it leads to improved inference on consumer dissatisfaction. Our results reveal 10 topics, whose appearances in the negative reviews are substantially higher than those in the positive reviews. In addition, we investigate how customer complaints vary across different hotel grades. Results indicate that customer complaints for high-end hotels are mainly related to service issues, whereas customers of low-end hotels are frequently annoyed by facility-related problems. This research contributes to the hospitality literature by enhancing our understanding of the aspects of hotel customers' dissatisfaction through rigorous statistical analysis, their correlations, and importance for different hotel grades.

Keywords

Online hotel reviews;Customer dissatisfaction;Structural topic model;Text mining;Tripadvisor

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing | Tourism and Travel

Research Areas

Information Systems and Management

Publication

Tourism Management

Volume

72

First Page

417

Last Page

426

ISSN

0261-5177

Identifier

10.1016/j.tourman.2019.01.002

Publisher

Elsevier

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1016/j.tourman.2019.01.002

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