Modelling Cryptocurrency Usage Intention: The Effects of TAM, Risk, and Online Interaction

الملخص

Abstract: This study seeks to identify aspects linked to the adoption of a blockchain-based cryptocurrency from the viewpoint of individuals' behaviors in emerging markets like Jordan. A study framework has been created to explore how perceived ease of use, perceived benefits, perceived risks, and intention to use cryptocurrency are interconnected. This investigation will consider factors like online social and commercial interactions. The research sample comprises individuals aged 18 and above from Jordan with internet skills (4686 participants). The study aims to achieve its objective through an analytical method. It involves procedures in two stages; measurement model analysis and an explanatory model of cryptocurrency usage intention (structural model analysis). The study evaluates the fit of the model and examines the path coefficient to address the research hypotheses put forward in this study. The study discovered that all aspects of the suggested model play a role in influencing the decision to use cryptocurrency technology online trading. Additionally, the study has made contributions by shedding light on the intention to use cryptocurrency trading platforms in developing economics like Jordan.