An Integrated TAM–UTAUT–ECM Model for Understanding User Willingness and Satisfaction with Digital Teaching Platforms in Chinese Applied Universities
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This study developed and validated an integrated framework combining the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Expectation–Confirmation Model (ECM) to examine user willingness and satisfaction with digital teaching platforms in Chinese applied universities. Survey data from 405 faculty and students were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess direct, indirect, and mediating relationships. Findings showed that perceived usefulness, effort expectancy, and satisfaction were the most significant predictors of user willingness and continuance intention, while behavioral intention had limited explanatory power. Satisfaction emerged as a key mediator, highlighting the role of emotional evaluation in sustaining engagement. The model showed strong predictive capacity, with R² values exceeding 0.60. Practical implications include improving platform usability through targeted training, incorporating emotionally intuitive design features, and establishing feedback-driven interface enhancements to support long-term adoption in applied university settings.
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