Task-Technology Fit Model: The Factors Affecting Students' Academic Performance in Higher Education

Abstract

This paper mitigates the variation in literature on the usage in Behavioural Purpose to use and actual social media use through social media use and also it influences performance and satisfaction of students at higher education. Thus, this research aimed to develop a model to investigate along with behavioral intention to use and actual social media that influence students' satisfaction and performance impact use task technology fit (TTF) model. A questionnaire survey on Task-technology fit theory was circulated among a total of 206 university students as the key method for collecting data. This research hypothesizes that social characteristics and technology characteristics can affect the task technology fit, which also hypothesizes TTF for behavioral intention to use and actual social media that turn to improve students' satisfaction, and performance impact. However, all research findings were attained through a quantitative method using the Structural Equation Modeling (SEM-AMOS). Findings out in this research indicate positive effect students on their academic through behavioral intention to utilize of social media for teaching and learning in higher education. Moreover, the results that social media is used for learning purpose and enables sharing of knowledge, discussions, and information to enhance students' learning activities, therefore, we recommend students to use social media for educational purposes through lecturers at higher education institutions.