Abstract
The popularity of online hotel review websites has changed the way of customers’ booking hotel rooms. Based on the review data of 1537 hotels in Guangzhou listed on the eLong network, we first adopt the stepwise linear regression, develop 4 categories of linear models for various classes of hotels, and analyze the fluctuately fuzzy information impacts of 4 sectors, including hotel features, customer reviews, platform booking recommendations and hotel services Index, to the online-booking effects of these hotels. Additionally, we have showed that the platform booking recommendations and customers’ reviews impact highly on the online-booking of these hotels. Furthermore, hotel service information influences hotels’ reservations except for four-star/upscale hotels, so do hotel features except for five-star/luxury ones. The study may provide online hotel booking platforms with guidance to providing better services for their customers.
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Acknowledgments
Thank reviewers for valuable comments.
Recommender: Kai-zhong Guo, Professor, School of Management, GuangDong University of Technology, GuangZhou, 510075, China.
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Xiang, L., Nan, W. (2018). The Impact of Online Information to the Internet Reservations of Hotels in Guangzhou. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_40
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DOI: https://doi.org/10.1007/978-3-319-66514-6_40
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