Banerjee, Snehasish orcid.org/0000-0001-6355-0470 and Bonfield, Stefanie (2019) How Online Reviews in a Year Predict Online Sales in the Next on Expedia.com + Agoda.com + Hotels.com?: A Panel Study of Hotels. In: 2019 5th International Conference on Information Management (ICIM). . IEEE.
Abstract
This paper investigates how ratings, titles as well as descriptions of online reviews predict online sales. Using data from Expedia.com, Agoda.com and Hotels.com; a log-linear regression model was developed for a panel of 75 Asian hotels. The model explained 69.40% variance in the dependent variable for luxury hotels, 40.30% for budget hotels, and 38.80% for mid-scale hotels. In particular, title length was negatively related to sales for luxury and mid-scale hotels. The use of positive words in titles was positively related to sales for luxury hotels but had a negative association for budget hotels. Moreover, the use of positive (negative) words in descriptions was positively (negatively) related to sales for budget hotels.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | ©2019 IEEE. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
| Keywords: | E-tourism,e-wom,online booking,online sales |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
| Date Deposited: | 17 May 2019 15:20 |
| Last Modified: | 19 May 2026 23:15 |
| Published Version: | https://doi.org/10.1109/INFOMAN.2019.8714708 |
| Status: | Published |
| Publisher: | IEEE |
| Identification Number: | 10.1109/INFOMAN.2019.8714708 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146281 |
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Filename: ICIM_IM19_453_final_submission_reviews_to_sales.pdf
Description: ICIM IM19-453

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