In order to understand the consumers' behavior of using food and beverage APP consumption, this study applied descriptive statistical analysis, variance analysis, T-test, correlation analysis and regression analysis to detect technology acceptance model for consumer characteristics, perceived usefulness and perceived ease of use, behavioral intention of use and actual use. The findings are (1) There was no significant effect of Gender, age, occupation and mobile internet hour usage per day on perceived usefulness and perceived ease of use for using order APP. (2) Perceived usefulness and perceived ease of use for using order APP, perceived usefulness of behavioral intention, perceived ease of use for behavioral intentions, behavioral intentions and actual use had significantly difference.