The purpose of this study is to measure the effects of behavioral intention. A total of 273 questionnaires were completed. The equation model was used to measure the causal effect. The results demonstrated that the confirmatory factor analysis model provided an excellent model fit. The comprehensive model yielded a significantly better fit to the data and accounted for a greater share of the variance in behavioral intentions than the five competing models. The effects of satisfaction, perceived value and service quality on behavioral intention were statistically significant. As expected, service quality and value had significant effects on satisfaction. Service quality and perceived sacrifice had significant effects on value. Moreover, service quality and value perceptions had an indirect influence on behavioral intentions. The overall findings offer strong empirical support for the intuitive notion that improving service quality can increase favorable behavioral intentions and decrease unfavorable intentions.