IEEE Access (Jan 2024)
Continuous Use of NFT Trading Platforms: A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model
Abstract
With the development and popularization of blockchain technology, non-fungible token (NFT) platforms, serving as innovative tools for digital asset trading and ownership verification, are gradually receiving widespread attention and research from artists, collectors, and investors. To facilitate the sustained development of non-fungible token (NFT) platforms and enhance user stickiness, it is imperative to study the factors that affect users’ continuous usage intentions. Despite research on information system success and user continuance intention, there remains a lack of study in the NFT domain, especially when considering factors such as economic benefits, perceived trust, and technological stress. This research aims to explore the key factors affecting the continued use intention of users on NFT trading platforms, specifically focusing on the roles of economic benefits, perceived trust, and technological stress. The study’s results aim to provide targeted suggestions for the optimization of NFT trading platforms. Therefore, this research is grounded in the Expectation Confirmation Model and the Information Systems Success Model, and extends these approaches by introducing four elements—economic benefits, perceived trustworthiness, Individual and Organizational Impact and technological pressure—thereby constructing the research model. Structural equation modeling was employed to analyze data from 304 respondents with experience in using NFT trading platforms. The findings indicate that: 1) technological pressure is positively correlated with perceived ease of use; 2) both service quality and information quality are positively correlated with perceived ease of use and usefulness; 3) perceived ease of use, usefulness, economic benefits, and their impact on individuals and organizations are all positively correlated with continuous usage intention; and 4) system quality is not significantly related to perceived ease of use or usefulness, nor is perceived trustworthiness significantly related to continuous usage intention. Based on these findings, we provide practical recommendations for optimizing NFT platforms and offer guidance for platform developers and operators.
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