Abstract
As an online reputation management tool, hotel managers increasingly rely on management responses to online reviews to improve the electronic word of mouth (eWOM). Due to the substantial heterogeneity of textual reviews with different topics, it is particularly challenging to personalize the response for customer relationship management. Based on a panel data of 500 hotels in the state of Texas collected from TripAdvisor, this study examines the influence of personalized management responses on rating increase from a topic matching perspective. The empirical results show that (1) a high level of topic matching of management response leads to an increase of hotel online rating; (2) a high valence and a large variation of existing rating weaken the positive influence of such personalized management response; (3) the influence is stronger for economy hotels compared to luxury ones. Lastly, practical implications are provided.
| Original language | English |
|---|---|
| Article number | 103953 |
| Journal | Tourism Management |
| Volume | 76 |
| DOIs | |
| State | Published - Feb 2020 |
| Externally published | Yes |
Keywords
- Hotel online review
- Management response
- Online rating
- Supported vector machines classification
- Topic matching
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