An analysis of customer room choice model and revenue management practices in the hotel industry [Summary]

dc.contributor.author	Mei, Hu	en
dc.contributor.author	Zhan, Zehui	en
dc.date.accessioned	2018-10-26T17:14:56Z	en
dc.date.available	2018-10-26T17:14:56Z	en
dc.date.issued	2013-06	en
dc.description.abstract	Considering the limitations of existing studies on the customer choice behaviour, this paper tries to use the variable precision rough set (VPRS) approach to establish a customer room choice model (CRCM) based on the logit model, which satisfies the required precision. This model could analyze the data set of customer room choice and directly identify real attributes, which affect customer room choice and the weights of these attributes without prior information; and then the probability of the customer room choice can be conducted by the CRCM. In terms of the results, hotels can predict customer demand of each rate class and improve their precision, in order to increase hotel revenue.	en
dc.format.mimetype	application/pdf	en
dc.identifier.uri	http://hdl.handle.net/10919/85543	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.rights	Creative Commons Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	Logit	en
dc.subject	Variable precision rough set	en
dc.subject	Revenue management	en
dc.subject	Room choice	en
dc.title	An analysis of customer room choice model and revenue management practices in the hotel industry [Summary]	en
dc.title.serial	International Journal of Hospitality Management	en
dc.type	Summary	en
dc.type.dcmitype	Text	en

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