This study examined the relationship between corporate room rates and the variables of the number of hotel rooms; the number of delegates at conventions, conferences, and trade shows; the economic impact of these delegates; and passenger enplanements in 30 cities in the United States. These variables proved to have an influence on the corporate room rate, with passenger enplanements being the most statistically significant variable. These relationships were then used to develop a predictive model to forecast future corporate room rates.
Library of Congress Subject Headings
Hotels--Rates--Forecasting; Hotel management; Business travel--Costs--Forecasting
Department, Program, or Center
School of Food, Hotel and Tourism Management (CAST)
Wawrzyniak, Elizabeth A., "A Model to forecast corporate hotel rates" (1993). Thesis. Rochester Institute of Technology. Accessed from
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