Competitive revenue management for fixing quota and price of hotel commodities under uncertainty [Summary]
dc.contributor.author | Padhi, Sidhartha | en |
dc.contributor.author | Aggarwal, Vijay | en |
dc.date.accessioned | 2018-10-26T17:51:17Z | en |
dc.date.available | 2018-10-26T17:51:17Z | en |
dc.date.issued | 2011-09 | en |
dc.description.abstract | This article develops an artificial neural network (ANN) based forecasting model using the past profit records of hotel commodities. Based on forecasting, hotel commodities are categorised into two kinds: ones that push up the revenue, and others, which pull it down. Thereafter, long and short term goals are formulated for fixing quota and proper revenue management under uncertainty. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | http://hdl.handle.net/10919/85547 | 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 | Revenue management | en |
dc.subject | ANP | en |
dc.subject | DEMATEL | en |
dc.subject | ANN | en |
dc.subject | Fuzzy goal programming | en |
dc.subject | Forecasting | en |
dc.title | Competitive revenue management for fixing quota and price of hotel commodities under uncertainty [Summary] | en |
dc.title.serial | International Journal of Hospitality Management | en |
dc.type | Summary | en |
dc.type.dcmitype | Text | en |
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