Selecting profitable hotel sites at La Quinta Motor Inns

Selecting profitable hotel sites at La Quinta Motor Inns

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Article ID: iaor1990203
Country: United States
Volume: 20
Issue: 2
Start Page Number: 12
End Page Number: 20
Publication Date: Mar 1990
Journal: Interfaces
Authors: ,
Keywords: service, decision, statistics: regression
Abstract:

Selecting 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. The authors 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. They 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.

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