Purpose – This research aims to identify any variables that can influence e-money user behavior mediated by behavioral intentions using the UTAUT model Design/methodology – . This research uses a quantitative-descriptive approach. Sampling used a purposive sampling method to achieve a sample size based on the Slovin formula. Data was collected by distributing a questionnaire in the form of a Google Form. The data analysis technique uses the Partial Least Squares-Structural Equation Model (PLSSEM) with the SmartPLS3 application. Findings - The results of hypothesis testing show that performance expectations do not influence behavioral intentions. Effort expectancy, social influence, and facilitating conditions influence the intention to use e-money. Facilitating conditions influence user behavior. Behavioral intentions are able to mediate the influence of performance expectations, business expectations, and social influences, as well as facilitate conditions on e-money user behavior.
No takes yet. Share an insight, caveat, or question.
Christiana et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: