Predicting Customer Trust and Behavioral Intention to Invest Cryptocurrency

Cryptocurrency continues to be accepted globally, but many individuals (investors) still hesitate to use it (invest). Therefore, this study examines the predictive model of investors’ behavioral intentions to invest in Cryptocurrency by considering the following factors: experience, trust, social influence, and attitudes. Questionnaires were distributed online to the Cryptocurrency community in DKI Jakarta. Questionnaire data were analyzed using multivariate statistics: structural equation modeling based on variance (PLS-SEM). The study’s results prove that attitude, perceived trust, and social influence positively and significantly affect behavioral intention. Furthermore, social influence and perceived experience positively and significantly affect perceived trust. Finally, perceived trust has a positive and significant effect on attitude. This finding contributes to investment behavior by examining the determinants of adopting blockchain technology in the form of Cryptocurrency.