Purpose This empirical study aims to determine factors that influence an individual’s intention to use mobile payment (MP) systems. The study investigates direct, indirect and total effects as well as factors that mediate or moderate effects on intention. Design/methodology/approach A theoretical model is derived from previous studies and combines factors from technology acceptance model and unified theory of acceptance and use of technology (perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention) with factors relevant to MP (perceived security, uncertainty avoidance, trust, network externalities and self-efficacy). Gender, age, MP experience and income are included as moderators of direct effects on behavioral intention. The sample includes 736 participants from the four large cities in Indonesia. Structural equation modeling is used to analyze and develop the theoretical model. Findings Self-efficacy has the greatest total effect on behavioral intention, followed in decreasing order of importance by perceived usefulness, perceived ease of use, social influence, trust, network externalities and uncertainty Avoidance. only gender and MP experience have significant moderating effects whereby the direct effects of self-efficacy and network externalities on behavioral intention are influenced by gender and MP experience, respectively. Trust, perceived usefulness and perceived ease of use have important mediation effects. Originality/value This study fills the gap in the limited theoretical understanding of MP adoption in Indonesia. New theoretical findings related to mediating and moderating effects, direct, indirect, and total effects are used to discuss important practical implications of the findings.

This study investigates the adoption of the mobile learning, 3D simulation Android app, as an innovative tool for learning in physics for high school students. The factors affecting the acceptance of mobile learning are also determined in this study. The proposed research model employs two constructs, Perceived Usefulness and Perceived Ease of Use, from Technology Acceptance Model (TAM) as a baseline and adds another relevant factor based on prior mobile learning adoption research, Perceived Enjoyment. Data are collected through questionnaires distributed to 50 high school students using Google Forms. Structural equation modeling (SEM) is used to analyze and develop the research model. The study finds that Perceived Enjoyment becomes the most influencing factor considered by high school students to use mobile learning, 3D simulation Android app, followed by Perceived Usefulness. However, the Perceived Ease of Use factor does not significantly influence the acceptance of the 3D simulation Android app.

Adopting technology by its intended users is one of the most important contributors to that technology’s success. Therefore, the success of mobile learning (ML) depends on the students’ acceptance of the method. Regarding this point, this quantitative research aims to identify factors that affect switching intention to adopt ML among university students in Indonesia based on migration theory, Push-Pull-Mooring (PPM) framework. A theoretical model was developed to examine the determinants that affect students’ decision to use ML platforms. This study used an online survey questionnaire to obtain 616 valid responses. A comprehensive analysis of the influence factors of users switching behavior, including the moderating factors, was conducted using Structural Equation Modeling (SEM) and Amos software. The results confirmed that the push factor (learning convenience), pull factors (learning autonomy and enjoyment), and mooring factor (student innovativeness) are perceived as significant factors for accepting ML. Concerning the moderating factor, this study also revealed the significance of moderating factor experience in two causal effects of enjoyment and student innovativeness on the students’ intention to switch using ML. Furthermore, based on the findings, several recommendations were suggested for the university policy-makers to develop effective strategic plans to get a competitive advantage.

PurposeThis research aims to investigate the significant influence of social factors based on the social impact theory against service quality factors based on uncertainty avoidance dimension in determining user perception of trust toward mobile payment (MP) usage.Design/methodology/approachThe theoretical model used was analyzed by adopting the structural equation modeling technique. Questionnaires were delivered to Indonesian customers as the target respondents using Google Forms, and finally, 659 valid responses were received.FindingsBased on the direct effect analysis, service quality had more influence on the user trust perception than the social aspect. More specifically, Perceived Security was the most influential in increasing the level of user trust followed by Perceived Usefulness and Network Externalities.Originality/valueThis research presents a comprehensive investigation that applied a different perspective of the way social and service quality aspects develop user trust toward MP usage.