Over the last years, crypto-assets have gained significant interest from private investors, academia, and industry. While the user population and their motivations, perceptions, and behaviors have been studied, non-adopters and factors influencing their decision have been left unexplored.
In a collaboration with researchers from the University of Innsbruck, Artemij Voskobojnikov, PhD candidate in my research group, has led a study that sheds light on the effects of trust, perceived self-efficacy, and risk on the adoption intention of non-users. We proposed and empirically test a theoretical model that explains the adoption intention of crypto-assets among those, who decided against using them.
The validity of the model is assessed in a structural equation model analysis of 204 non-users. Results revealed that trust is a critical factor affecting adoption intention, with perceived self-efficacy having a mediating effect. Building on the results, practical recommendations are offered that could lower the entry barriers and facilitate the adoption of crypto-assets. See a short presentation of the paper at the conference.
You can find more information in the paper:
Voskobojnikov, A., Abramova, S., Beznosov, K., and Böhme, R. “Non-Adoption of Crypto-Assets: Exploring the Role of Trust, Self-Efficacy, and Risk” In Proceedings of the Twenty-Ninth European Conference on Information Systems (ECIS). (virtual), 2021.
