What the study found
The study found that system quality was the most influential factor for both system use and user satisfaction on cryptocurrency trading platforms. Information quality also showed a significant effect, while service quality had only a limited direct influence on user outcomes.
Why the authors say this matters
The authors conclude that the DeLone and McLean Information Systems Success Model can be applied to cryptocurrency trading platforms. The findings indicate that, in these high-risk blockchain-based financial settings, system robustness, efficiency, and usability may be more important than service-related attributes.
What the researchers tested
The researchers used a quantitative survey of 389 active Binance users in Indonesia, selected through purposive sampling. They tested a research model based on the DeLone and McLean Information Systems Success Model using Partial Least Squares Structural Equation Modeling and Multi Group Analysis.
What worked and what didn't
Four of the nine hypothesized relationships were statistically supported. System quality had the clearest positive role, and information quality also showed a significant effect. Service quality showed limited direct influence, and overall system use and performance-related factors were more important for perceived net benefits than service-related attributes.
What to keep in mind
The abstract does not describe detailed limitations beyond the specific sample and platform studied. The findings are based on active Binance users in Indonesia, so the available summary does not show whether they generalize to other exchanges or settings.
Key points
- System quality was the strongest determinant of system use and user satisfaction.
- Information quality had a significant effect on user outcomes.
- Service quality had limited direct influence on user outcomes.
- Four of nine hypothesized relationships were statistically supported.
- The study surveyed 389 active Binance users in Indonesia.
Disclosure
- Research title:
- System quality was the strongest predictor in cryptocurrency exchange use
- Authors:
- Berto Usman, Ibnu Rohmadi, Mesut Doğan, Jintanee Ru-Zhue, Somnuk Aujirapongpan
- Institutions:
- Bilecik Şeyh Edebali Üniversitesi, Silpakorn University, University of Bengkulu, University of Bengkulu, Walailak University
- Publication date:
- 2026-03-31
- DOI:
- 10.3390/jrfm19040248
- OpenAlex record:
- View
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