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: | 11 Dec 2024 00:27 |
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