Investigating Factors Influencing Undergraduate Students’ E-learning Satisfaction, and Continuance Intention in Chengdu, China
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Purpose: The purpose of this study is to explore factors influencing undergraduate students’ e-learning satisfaction and continuance intention in Chengdu, China. Research design, data, and methodology: Sample data was collected using quantitative method and questionnaire. Item-objective congruence and pilot tests were adopted to test the content validity and reliability of the questionnaire before distribution. Data was analyzed by utilizing Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate the model’s goodness of fit and confirm the causal relationship among variables for hypothesis testing. Results: The results reveal that this conceptual model could predict which factors influence undergraduate students’ e-learning satisfaction and continuance intention in Chengdu, China. The students’ e-learning satisfaction was the strongest predictor of continuance intention to use both directly and indirectly, which students’ e-learning satisfaction was driven significantly by system quality, confirmation, and perceived usefulness. However, the relationship between service quality, information quality and satisfaction are not supported. Conclusions: This study suggested that developers of the cloud-based e-learning systems of higher education institutions should focus on improving the quality factors of the cloud-based e-learning systems for students to perceive the system as useful and would further enhance continuance intention toward using the cloud-based e-learning systems.
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