| Summary: | A notable portion of students are believed to have discontinued using e- learning platforms after spending time learning using them. The success of the e- learning platform depends on the student's continued intention to use it. However, prior studies have focused little on the continuous intention to use e-learning platforms. Moreover, it is vital to note that users' perceptions can be influenced by multiple factors over an extended period. Thus, this study aims to develop a conceptual model to investigate the main factors that affect users' continuous intention to use e-learning platforms. A conceptual model was proposed based on the expectation confirmation theory incorporating four additional constructs: perceived enjoyment, interactivity, social influences, and computer self-efficacy to investigate this subject area. Data are collected from 362 students utilising e-learning platforms in their educational journey to reflect their actual experiences with e-learning platforms. Structural Equation Modeling (SEM) is used in the data analysis phase when Smart-PLS software is employed as an analytical tool to assess the proposed model's measurement and structural model. The findings show that all the suggested factors positively influence continuous intention. In addition, empirical evidence shows that satisfaction is the most influential factor influencing students' continuous intention. Furthermore, the proposed model was introduced and demonstrates that the model's predictive power is 70%. A prototype platform has been developed to accurately represent the findings derived from the analysis results within a prototype platform. The research findings can contribute to the Information System (IS) by providing a comprehensive conceptual model for the academic researchers and developers to enhance users' continuous intention for using e-learning platforms. Also, the outcomes of this study may be helpful to decision-makers and platform developers by providing potential guidance for developing and designing e-learning platforms that offer a more effective e-learning platform to ensure their sustainability.
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