Article ID Journal Published Year Pages File Type
4942527 Electronic Commerce Research and Applications 2017 10 Pages PDF
Abstract

•The data was gathered from Booking.com.•We performed: -OLS to examine whether there is a statistically significant difference in ratings between groups.-paired t-test to overcome the self-selection bias that might occur in the regression analysis.-text mining to identify what type of different experiences exists between groups.

In this paper, we empirically investigate the effects of different traveling groups' experiences on travelers' satisfaction rating for hotels in which they stay. We analyze the rating data of 322 hotels located in New York City from Booking.com, a popular travel website, by using our web crawler. As a result, we find that satisfaction of traveler groups declines in order of couples, friends, family, solo, and business. Couple groups express the highest satisfaction with the hotel they choose while business groups show the lowest satisfaction. By conducting text analysis of 125,076 reviews, we find that such differences in satisfaction stem from travelers' preferences regarding features.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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