How Online Reviews in a Year Predict Online Sales in the Next on + + A Panel Study of Hotels

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Publication details

Title of host publication2019 5th International Conference on Information Management (ICIM)
DateAccepted/In press - 23 Jan 2019
DatePublished (current) - 17 May 2019
Number of pages5
Original languageEnglish
ISBN (Electronic)978-1-7281-3430-7


This paper investigates how ratings, titles as well as descriptions of online reviews predict online sales. Using data from, and; 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.

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©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.

    Research areas

  • E-tourism, e-wom, online booking, online sales


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