Factors determining the users' intention to adopt mobile bus app

Abstract

This study examines factors that influence campus riders' intention to use the mobile bus app which can estimate bus arrival time and track bus location in real-time. Individual difference variables namely gender, age and experience were examined. The unified theory of acceptance and use of technology (UTAUT) model served as the framework while PLS-SEM was used for data analysis. Results derived from a total of 426 questionnaires revealed that performance expectancy, facilitating conditions, and social influence had positive and significant effects on campus bus riders' intention to use the mobile bus app. The findings also showed that effort expectancy has a large, positive, and significant influence on performance expectancy (with large effect size). This study also revealed that adequate resource support provided to campus bus riders has great impact on the users' ease of using the mobile app. Nevertheless, gender, age and experience were insignificant in moderating all the relationships.