Continuous Use of NFT Trading Platforms: A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model

Abstract

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. This research is grounded in the Expectation Confirmation Model and the Information Systems Success Model, and extends these approaches by introducing three elements-economic benefits, perceived trustworthiness, 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.