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Publication Detailed Description
Journal Title
Journal of Hospitality and Tourism Management
Year (definitive publication)
2020
Language
English
Country
Netherlands
More Information
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Abstract
Opinions shared by peer travelers help tourists decrease the risks of making a poor decision. However, the increasing number of reviews per experience makes it difficult to read all reviews for an informed decision. Therefore, reviewers who make a personal and explicit recommendation of the services by using expressions such as “I highly recommend” or “don't recommend” may help consumers in their decision-making process. Such reviews suggest that the reviewer was satisfied to a point that (s)he would advise others to try or was unsatisfied and will for sure avoid coming back. The current research note explores what may drive reviewers to make direct endorsements in text. A text mining method was applied to online reviews to identify drivers of explicit recommendations. Lack of competences from the provider and negative attitudes are triggers of negative direct recommendations, whereas positive feelings predict a positive recommendation in the body of the review.
Acknowledgements
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Keywords
eWOM,Online recommendations,Text mining,CART
Fields of Science and Technology Classification
- Economics and Business - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/GES/00315/2013 | Fundação para a Ciência e a Tecnologia |
| UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
