Understanding Recommendation Intention and Continuance Intention of Smart Attendance Management Applications

With the spread of smartphones and the outbreak of COVID-19, the importance of smart attendance management applications (SAMA) has increased. The advantage of using a SAMA is that attendance check time is reduced and attendance status can be easily managed. This study aims to identify the key factors affecting recommendation intention and continuance intention of SAMA users. The research model enlists information system success factors and technology acceptance components to examine the formation mechanism of recommendation intention. This study used partial least squares (PLS) to analyze the empirical data collected through a survey of students who are using SAMA. The results show that continuance significantly influences recommendation intention. The research findings indicate that perceived ease of use and perceived usefulness play a key role in the formation of both continuance intention and user satisfaction. User satisfaction is significantly related to both recommendation intention and continuance intention. The results reveal that system quality has a positive impact on perceived ease of use, user satisfaction, and perceived usefulness. Information quality influences both perceived ease of use and perceived usefulness while it does not influence user satisfaction. The findings of this study unveil that innovativeness is a crucial predictor of user satisfaction. Theoretical and practical implications are discussed.