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dc.contributor.authorKimes, Sheryl E.
dc.contributor.authorFitzsimmons, James A.
dc.date.accessioned2020-09-12T21:09:37Z
dc.date.available2020-09-12T21:09:37Z
dc.date.issued1990-01-01
dc.identifier.other9491708
dc.identifier.urihttps://hdl.handle.net/1813/72194
dc.description.abstractSelecting a good site plays a crucial role in the success of a hotel, and as competition intensifies in the lodging industry, it has become increasingly important. The success of a site is based on competitive, demographic, physical, market awareness, and demand generator variables. We built a regression model for La Quinta Motor Inns, a mid-sized hotel chain headquartered in San Antonio, Texas, that predicted profitability for sites under consideration. We validated the regression model on new data and incorporated it into a spreadsheet decision model that management uses for selecting sites. The model minimizes the risk of picking an unprofitable site.
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © INFORMS. Final version published as: Kimes, S. E., & Fitzsimmons, J. A. (1990). Selecting profitable hotel sites at La Quinta Motor Inns. Interfaces 20(2), 12-20. doi: 10.1287/inte.20.2.12 Reprinted with permission. All rights reserved.
dc.subjectsite selection
dc.subjecthotel location
dc.subjectLa Quinta Motor Inn
dc.subjectlodging industry
dc.titleSelecting Profitable Hotel Sites at La Quinta Motor Inns
dc.typearticle
dc.relation.doihttps://doi.org/10.1287/inte.20.2.12
dc.description.legacydownloadsKimes57_Selecting_Profitable_Hotel_Sites.pdf: 1024 downloads, before Aug. 1, 2020.
local.authorAffiliationKimes, Sheryl E.: sek6@cornell.edu Cornell University School of Hotel Administration
local.authorAffiliationFitzsimmons, James A.: University of Texas, Austin


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