Attitudes toward search engines as a learning assisted tool: approach of Liaw and Huang's research model

The purpose of this research is to develop new approach to investigate individual attitudes toward search engines as a learning assisted tool. This research is based on Liaw and Huang's research model that included motivation perspective, social cognitive theory, and technology acceptance model. After factor analysis and regression analysis, the results show that the factor of perceived satisfaction of system's quality and the factor of experience using the Internet and search engines will influence the factor of perceived enjoyment and the factor of self-efficacy. In addition, perceived enjoyment and self-efficacy can predict of the factor of individual intention to use search engines as a learning assisted tool. Furthermore, based on [Liaw and Huang's model (2003). An investigation of user attitudes toward search engines as an information retrieval tool. Computers in Human Behavior, 19(6) 751-765] and the results of present study, we propose a new approach - three-Tier Use Model (3-TUM), the tier of individual experience and system quality can influence the affective and cognitive tier, and the affective and cognitive tier has positive effects on the behavioral intention tier.