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Forecasting for Hotel Revenue Management: Testing Aggregation Against Disaggregation

dc.contributor.authorWeatherford, Lawrence R.
dc.contributor.authorKimes, Sheryl E.
dc.contributor.authorScott, Darren A.
dc.date.accessioned2020-09-12T21:06:28Z
dc.date.available2020-09-12T21:06:28Z
dc.date.issued2001-08-01
dc.description.abstract[Excerpt] A successful yield-management strategy is predicated on effective control of customer demand. Businesses have two interrelated strategic levers with which to accomplish this, namely, pricing and duration of customer use. Prices can be fixed (one price for the same service for all customers for all times) or variable (different prices for different times or for different customer segments) and duration can be predictable or unpredictable. Variable pricing to control demand is conceptually a straightforward process. It can take the form of discount prices at off-peak hours for all customers (such as low weekday rates for movies) or it can be in the form of price discounts for certain classes of customers (such as senior discounts at restaurants).
dc.description.legacydownloadsKimes40_Forecasting_for_Hotel_Revenue_Management.pdf: 3005 downloads, before Aug. 1, 2020.
dc.identifier.other6147403
dc.identifier.urihttps://hdl.handle.net/1813/71947
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © Cornell University. Reprinted with permission. All rights reserved.
dc.subjecthotel industry
dc.subjectrevenue management
dc.subjectyield management
dc.subjectaggregation
dc.subjectdisaggregation
dc.titleForecasting for Hotel Revenue Management: Testing Aggregation Against Disaggregation
dc.typearticle
local.authorAffiliationWeatherford, Lawrence R.: University of Wyoming
local.authorAffiliationKimes, Sheryl E.: sek6@cornell.edu Cornell University
local.authorAffiliationScott, Darren A.: das50@cornell.edu Cornell University

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