The main objective of this paper is to investigate why university students use their smart phones in class and to develop a predictive model of smart phone use behavior that consisted of perceived benefit, perceived cost, attitude, social effect, intention, and habit. The proposed model is tested using survey data collected from 120 university student smart phone users. PLS analysis show as following: At first, intention and habit are significant predictors of smart phone use behavior in class. Secondly, perceived benefit and perceived cost as well as attitude and social effect are the factors affecting smart phone usage in class.

The purpose of this study is to investigate the smartwork use resistance and Non-Class-Related Behavior of attendees in university smartwork class with the perspective of Motivation-Threat-Ability. To do this, this study built a research model and examined how smartwork switching cost, threat and self-efficacy affect Non-Class-Related Behavior through smartwork use resistance. We also examined the relationship between self-efficacy and Non-Class-Related Behavior. The survey method was used for this paper, and data from a total of 80 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, switching cost and threat have direct effects on the use resistance of smartwork services. Second, smartwork use resistance has a negative effect on Non-Class-Related Behavior but self-efficacy has a positive effect on it. Further, it will provide meaning suggestion point of the importance of use resistance motivations in establishing the use policy of smartwork services.