| 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: | Himes Sheryl E., Fitzsimmons James A. |
| Keywords: | service, decision, statistics: regression |
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.