ORIGINAL RESEARCH article
Front. Blockchain
Sec. Financial Blockchain
Analysis of the Psychological Path of Merchants' Use of Central Bank Digital Currency: Evidence from Digital RMB
Provisionally accepted- Central University of Finance and Economics, Beijing, China
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Central Bank Digital Currency (CBDC) is emerging 1XXXXXXXX, Email Addresses:XXXXXXXX 2 (XXXXXXX1; XXXXXXXX2*) CXXXXXXXXXX,Email Addresses:XXXXXX to disrupt existing payment monopolies and enhance digital-real economies integration, yet adoption barriers persist. This study investigates merchants' willingness to adopt digital RMB(e-CNY) using the Technology-Organization-Environment (TOE) framework integrated with network effects. This study constructs a comprehensive model of e-CNY adoption, examining three key dimensions: technological adaptation, organizational support and environmental push, Structural Equation Modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) are applied to explore the complex interactions between these factors and merchants' usage behavior. The findings reveal that high-frequency usage of e-CNY by merchants requires the synergistic interaction of technological, organizational and environmental factors, None of the individual factors—such as perceived comparative advantage, perceived ease of use, compatibility, managerial support, organizational resource and capability, policy support, or network effects—are necessary condition on their own. Three distinct paths to high-frequency e-CNY usage are identified: technology-enviroment driven, all-factor synergy and technology-driven, while a single path, the environmentally-deficient type, explains low-frequency usage. Based on these findings, the study proposes targeted policy recommendations to promot e-CNY adoption: enhance system compatibility, improve policy Incentives, develop network effects, and establish a feedback loop between policy–technology–behavior.
Keywords: configurational analysis, Digital RMB(e-CNY), TOE framework, Usage behavior, usage intention
Received: 13 Oct 2025; Accepted: 28 Nov 2025.
Copyright: © 2025 Zhu and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianming Zhu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
