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dc.contributor.authorMei Fung Tang, Candy
dc.contributor.authorKing, Brian
dc.contributor.authorKulendran, Nada
dc.date.accessioned2018-12-11T13:12:01Z
dc.date.available2018-12-11T13:12:01Z
dc.date.issued2015-09-25
dc.identifier.urihttp://hdl.handle.net/10919/86340
dc.description.abstractThis study proposes a hotel demand estimation mechanism that assesses the likelihood of forthcoming occupancy peaks and troughs applicable to different hotel classifications. In anticipating rate fluctuations, the approach is less dependent than many prevailing hotel forecasts on short-term seasonal-related factors. In operating revenue management systems, hotel managers should predict forthcoming occupancy upturns and downturns to prepare accurate mid to long-run estimates. The proposed approach reduces the financial risks associated with volatile occupancy rates and facilitates efficient resource management. The average contraction period for Hong Kong hotel occupancies from one peak point to the next trough was found to exceed the duration of the corresponding expansion period.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherVirginia Techen_US
dc.rightsCreative Commons Attribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectoccupancy rateen_US
dc.subjecthotel industryen_US
dc.subjectrevenue managementen_US
dc.subjectpeak periodsen_US
dc.subjecttrough periodsen_US
dc.titleEstimating Future Room Occupancy Fluctuations to Optimize Hotel Revenues [Summary]en_US
dc.typeSummaryen_US
dc.title.serialJournal of Travel and Tourism Marketingen_US
dc.type.dcmitypeText


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International