How Online Reviews in a Year Predict Online Sales in the Next on Expedia.com + Agoda.com + Hotels.com? A Panel Study of Hotels

Snehasish Banerjee, Stefanie Bonfield
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引用次数: 6

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.
今年的在线评论如何预测Expedia.com + Agoda.com + Hotels.com的在线销售?酒店的小组研究
本文研究了评级、标题以及在线评论的描述如何预测在线销售。利用Expedia.com、Agoda.com和Hotels.com的数据;采用对数线性回归模型对75家亚洲酒店进行了分析。该模型解释了因变量中豪华酒店69.40%的方差,经济型酒店40.30%,中档酒店38.80%。特别是,标题长度与豪华酒店和中档酒店的销售额呈负相关。标题中积极词汇的使用与豪华酒店的销售额呈正相关,而与经济型酒店的销售额呈负相关。此外,在描述中使用积极(消极)词汇与经济型酒店的销售额呈正(负)相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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