Pizam and Milman (1993) utilized Oliver’s (1980) expectancy-disconfirmation model to improve the predictive power of travelers’ satisfaction. They introduced the basic dynamic nature of the disconfirmation model into hospitality research, while testing part of the original model in a modified form. In order to assess the causal relationship between two different disconfirmation methods, they employed a regression model with a single “expectation – met” measure as the dependent variable, and 21 difference–score measures as the independent variables. Some studies on customer satisfaction are also notable in tourism behavior research. For example, Pizam, Neumann and Reichel (1978) investigated the factor structure of tourists’ satisfaction with their destination areas. The authors showed eight distinguishable dimensions of tourist satisfaction. Barsky and Labagh (1992) introduced the expectancy – disconfirmation paradigm into lodging research. Basically, the proposed model in these studies was that customer satisfaction was the function of disconfirmation, measured by nine “expectations met” factors that were weighted by attribute – specific importance. The model was tested with data collected from 100 randomly subjects via guest comment cards. As a result, customer satisfaction was found to be correlated with a customer’s willingness to return.