This study integrates the Information Systems Success Model (ISSM) and the Technology Acceptance Model (TAM) to explore factors influencing user satisfaction and continuance intention in e-learning systems. The research aims to understand how quality factors, such as course and platform information quality, system quality, perceived usefulness, and ease of use, affect user satisfaction and their intention to continue using e-learning systems. A partial least squares structural equation modeling (PLS-SEM) approach was used to analyze survey data from 372 students at Arab Open University in Saudi Arabia. The results confirmed that information quality positively influences perceived usefulness, system quality, and ease of use. Perceived usefulness and ease of use significantly contribute to user satisfaction, which in turn enhances continuance intention. The study highlights the importance of improving information quality, system usability, and user support to enhance user satisfaction and encourage continued engagement with e-learning systems. The findings provide insights for e-learning system developers and educational institutions to optimize platform design, content, and usability, ultimately leading to higher user satisfaction and increased retention of learning outcomes. The study also identifies the need for further research to address limitations, such as the focus on a specific context and the use of self-reported data. Future research could explore the impact of individual characteristics, social factors, and new technologies on user satisfaction and continuance intention in e-learning systems.This study integrates the Information Systems Success Model (ISSM) and the Technology Acceptance Model (TAM) to explore factors influencing user satisfaction and continuance intention in e-learning systems. The research aims to understand how quality factors, such as course and platform information quality, system quality, perceived usefulness, and ease of use, affect user satisfaction and their intention to continue using e-learning systems. A partial least squares structural equation modeling (PLS-SEM) approach was used to analyze survey data from 372 students at Arab Open University in Saudi Arabia. The results confirmed that information quality positively influences perceived usefulness, system quality, and ease of use. Perceived usefulness and ease of use significantly contribute to user satisfaction, which in turn enhances continuance intention. The study highlights the importance of improving information quality, system usability, and user support to enhance user satisfaction and encourage continued engagement with e-learning systems. The findings provide insights for e-learning system developers and educational institutions to optimize platform design, content, and usability, ultimately leading to higher user satisfaction and increased retention of learning outcomes. The study also identifies the need for further research to address limitations, such as the focus on a specific context and the use of self-reported data. Future research could explore the impact of individual characteristics, social factors, and new technologies on user satisfaction and continuance intention in e-learning systems.