期刊
TOURISM MANAGEMENT
卷 76, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.tourman.2019.103953
关键词
Management response; Topic matching; Hotel online review; Online rating; Supported vector machines classification
资金
- NSFC [71671049, 71772053]
- Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China [151082]
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.
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