Modeling Switching Intention of Mobile Payment Service in the Moderation of Usage Inertia and IT Self-Efficacy: Implications for User Education

Utilizing the push–pull–mooring framework to explore university teachers' intention to switch from traditional classrooms to smart classrooms in China

“…Furthermore, technical self-efficacy has a significant positive influence on switching intention, which is consistent with previous studies (Chang et al. , 2017; Lin and Hsieh, 2022). Customers with high technical self-efficacy often view using a new IS as a positive thing that outweighs concerns with switching costs (Lin and Hsieh, 2022; Shi et al.…”

“…The sample subjects studied in this study have not formed strong habits in the use of smart classrooms, which may lead to a weak influence of habits on transfer intention. Furthermore, technical self-efficacy has a significant positive influence on switching intention, which is consistent with previous studies (Chang et al, 2017;Lin and Hsieh, 2022). Customers with high technical self-efficacy often view using a new IS as a positive thing that outweighs concerns with switching costs (Lin and Hsieh, 2022;Shi et al, 2018).…”

“…, 2017; Lin and Hsieh, 2022). Customers with high technical self-efficacy often view using a new IS as a positive thing that outweighs concerns with switching costs (Lin and Hsieh, 2022; Shi et al. , 2018).…”

“…Therefore, when university teachers of natural science courses perceive the inefficiency of traditional classrooms, they are more willing to transfer to smart classrooms that are better able to meet their teaching needs. On the other hand, the IT self-efficacy of most social science teachers is significantly lower than that of natural science teachers, which is determined by gender and educational experience and also explains why Chinese university teachers of social science courses have a greater impact on technological self-efficacy than those who teach natural science courses when making the decision to switch to smart classrooms (Lin and Hsieh, 2022; Umukoro and Tiamiyu, 2022).…”

Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption

“…Factors such as convenience, speed, security, privacy, and compatibility are among the additional variables included in various studies (e.g., Lin et al 2022;Wang 2022;Yi et al 2024). Compatibility, personal mobility, and subjective norms have been identified as the key influencers of the intention to use mobile payment (Alkhalifah 2022;Ku 2021), while factors like behavioral beliefs, social influences, and personal characteristics also play significant roles in acceptance and use (Ghosh 2024;Hameed et al 2024;Lin and Hsieh 2023). Perceived risk, cost, compatibility, and comparative advantage are other critical factors affecting the intention to use mobile payment (Kim et al 2023;Lisana 2024;Mobarak et al 2024).…”