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 |
Depositing User: | Pure (York) |
Date Deposited: | 17 May 2019 15:20 |
Last Modified: | 19 Mar 2024 00:06 |
Published Version: | https://doi.org/10.1109/INFOMAN.2019.8714708 |
Status: | Published |
Publisher: | IEEE |
Refereed: | No |
Identification Number: | https://doi.org/10.1109/INFOMAN.2019.8714708 |
Related URLs: |
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Filename: ICIM_IM19_453_final_submission_reviews_to_sales.pdf
Description: ICIM IM19-453