Research on the Influence of E-Learning Quality on the Intention to Continue E-Learning: Evidence from SEM and fsQCA

Hao Zheng, Yu Qian, Zongran Wang and Yonghe Wu ()
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Hao Zheng: Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai 200062, China
Yu Qian: Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai 200062, China
Zongran Wang: Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai 200062, China
Yonghe Wu: Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai 200062, China

Sustainability, 2023, vol. 15, issue 6, 1-14

Abstract: This study explores how Chinese college students perceive the quality of e-learning and its impact on their adoption of online learning. The study develops an impact model of e-learning quality on continuous learning intention based on the stimulus-organism-response framework, technology acceptance model, and information system success model. The model is validated using a structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) with data collected from 253 college students at a university in Eastern China. The SEM analysis shows that perceived ease of use and perceived usefulness positively influence e-learning continuance intention, while system quality and personalization have a positive impact on perceived ease of use, and learning community positively impacts perceived usefulness. The fsQCA analysis shows that college students’ willingness to continue e-learning is not solely dependent on a single factor of e-learning service quality but is also influenced by the interaction between various factors. Therefore, e-learning providers should take into account both external stimuli and internal perception factors when designing e-learning services. The findings of this study have practical implications for improving e-learning quality and enhancing the online learning experience. E-learning providers should consider the importance of system quality, personalization, and learning community in improving perceived ease of use and usefulness, which in turn can increase students’ intention to continue e-learning. The study also highlights the importance of considering the interaction between various factors that influence e-learning adoption rather than relying solely on individual factors.

Keywords: e-learning; intention to continue learning; stimulus-organism-response framework; technology acceptance model; information system success model; structural equation model; qualitative comparative analysis of fuzzy sets (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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