AI Summary of Peer-Reviewed Research

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System quality was the strongest predictor in Binance user study

A person holding a tablet displaying a cryptocurrency or financial trading platform interface with blue and white dashboard screens showing charts, graphs, and data metrics.
Research area:Business, Management and AccountingInformation Systems and ManagementFinTech, Crowdfunding, Digital Finance

What the study found

System quality was the most influential factor for both system use and user satisfaction in this study of cryptocurrency trading platforms. The findings also showed that information quality had 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 study extends the DeLone and McLean Information Systems Success Model, a framework for evaluating information systems, to cryptocurrency trading platforms. They also say the findings provide theoretical insight into the relative importance of these model factors in financial technology settings and practical guidance for prioritizing system robustness, efficiency, and usability.

What the researchers tested

The researchers used a quantitative survey design with 389 active Binance users in Indonesia, selected through purposive sampling. They analyzed an Information Systems Success Model-based research model with Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi Group Analysis (MGA) to test links among system quality, information quality, service quality, system use, user satisfaction, and perceived net benefits.

What worked and what didn't

Four of the nine hypothesized relationships were statistically supported. System quality had the clearest positive role, information quality also showed a significant effect, and service quality showed a limited direct effect on user outcomes; overall, system use and performance-related factors were more critical for perceived net benefits than service-related attributes.

What to keep in mind

The study is limited to survey data from active Binance users in Indonesia, so the results reflect that specific sample and platform context. The abstract does not describe additional limitations beyond the scope of the data and model tested.

Key points

  • System quality was the strongest factor linked to system use and user satisfaction.
  • Information quality had a significant effect on user outcomes.
  • Service quality had only a limited direct influence on user outcomes.
  • Four of nine hypothesized relationships were statistically supported.
  • The study used survey data from 389 active Binance users in Indonesia.

Disclosure

Research title:
System quality was the strongest predictor in Binance user study
Authors:
Berto Usman, Ibnu Rohmadi, Mesut Doğan, Jintanee Ru-Zhue, Somnuk Aujirapongpan
Institutions:
University of Bengkulu, Bilecik Şeyh Edebali Üniversitesi, Walailak University, Silpakorn University
Publication date:
2026-03-31
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.