Predictors of review sites usage in hotels
The tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benef...
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| Format: | Article |
| Language: | English |
| Published: |
University of Algarve, ESGHT/CINTURS
2017-04-01
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| Series: | Tourism & Management Studies |
| Subjects: | |
| Online Access: | https://tmstudies.net/index.php/ectms/article/view/994/pdf_53 |
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| _version_ | 1832572506171506688 |
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| author | Javier Perez-Aranda Rafael Anaya-Sanchez Jose Ruizalba |
| author_facet | Javier Perez-Aranda Rafael Anaya-Sanchez Jose Ruizalba |
| author_sort | Javier Perez-Aranda |
| collection | DOAJ |
| description | The tourism industry has been strongly impacted by the consumer
use of review sites. Since review travel sites such as TripAdvisor
allowed accommodations to create own profiles with information,
hotels began incorporating these actions into their engaging
customers programming. Despite the benefits that review sites can
offer to customers, hotels and accommodations, its implementation
is not developed and exploited in all its possibilities, and little is
known about hotels use of this review sites. This study explores the
topic trough quantitative methodology, conducting multiple
correlation analysis of data obtained from a sample of 301 hotel
managers. Managers consider they are committed to this type of
platforms and are capable of use it accurately. Also it was found
evidence of correlation between use of TripAdvisor and hotel
characteristics (size, ownership structure, and category).
Furthermore, multiple regression analysis shows competence and
commitment as the most important predictors of use intensity. |
| format | Article |
| id | doaj-art-c19efa9be17f476d91911ee74fb4fa5a |
| institution | Kabale University |
| issn | 2182-8466 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | University of Algarve, ESGHT/CINTURS |
| record_format | Article |
| series | Tourism & Management Studies |
| spelling | doaj-art-c19efa9be17f476d91911ee74fb4fa5a2025-02-02T09:30:54ZengUniversity of Algarve, ESGHT/CINTURSTourism & Management Studies2182-84662017-04-01132525910.18089/tms.2017.13205Predictors of review sites usage in hotelsJavier Perez-Aranda0Rafael Anaya-Sanchez1Jose Ruizalba2University of Malaga, Faculty of Economics and Business, Department of Business Management, Campus de Teatinos, 29071 Málaga, SpainUniversity of Malaga, Faculty of Economics and Business, Department of Business Management, Campus El Ejido, 29013 Málaga, SpainUniversity of Westminster, Westminster Business School, Room M127, 35 Marylebone Road, London The tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benefits that review sites can offer to customers, hotels and accommodations, its implementation is not developed and exploited in all its possibilities, and little is known about hotels use of this review sites. This study explores the topic trough quantitative methodology, conducting multiple correlation analysis of data obtained from a sample of 301 hotel managers. Managers consider they are committed to this type of platforms and are capable of use it accurately. Also it was found evidence of correlation between use of TripAdvisor and hotel characteristics (size, ownership structure, and category). Furthermore, multiple regression analysis shows competence and commitment as the most important predictors of use intensity.https://tmstudies.net/index.php/ectms/article/view/994/pdf_53review sitesewomtourismhotel sectorpredictors |
| spellingShingle | Javier Perez-Aranda Rafael Anaya-Sanchez Jose Ruizalba Predictors of review sites usage in hotels Tourism & Management Studies review sites ewom tourism hotel sector predictors |
| title | Predictors of review sites usage in hotels |
| title_full | Predictors of review sites usage in hotels |
| title_fullStr | Predictors of review sites usage in hotels |
| title_full_unstemmed | Predictors of review sites usage in hotels |
| title_short | Predictors of review sites usage in hotels |
| title_sort | predictors of review sites usage in hotels |
| topic | review sites ewom tourism hotel sector predictors |
| url | https://tmstudies.net/index.php/ectms/article/view/994/pdf_53 |
| work_keys_str_mv | AT javierperezaranda predictorsofreviewsitesusageinhotels AT rafaelanayasanchez predictorsofreviewsitesusageinhotels AT joseruizalba predictorsofreviewsitesusageinhotels |