Research on the Influencing Factors of Users’ Continuous Usage Intention of Knowledge-based Network Video Platforms —Take Chinese University MOOC as an Example
Knowledge-based network video platforms are increasingly becoming an important channel
for knowledge acquisition. Clarifying the factors that affecting their users’ continuous usage intention
helps maintain user relationships, create a good learning atmosphere, and promote the construction
of a learning society. Based on the ECM-ISC and D&M models, build a model of influencing factors of
users’ continuous usage intention of knowledge-based network video platform. The model is verified
and explained by conducting a questionnaire survey and interviewing with college students. The
research found that users’ continuous usage intention is affected by multiple factors. Among them,
habits, satisfaction, and subjective norms positively affect the continuous usage intention; expectation
confirmation, perceived usefulness, information quality, and service quality have a positive impact
on it through satisfaction; In addition to the positive influence of system quality on the continuous
usage intention, it also positively influences it through satisfaction; the influence of structural capital,
cognitive capital, and relationship capital is not significant. The research puts forward targeted
suggestions such as cultivating users’ long-term active learning habits, building a platform management system integrating system, information, and service, and building an online learning community based on user interaction.