Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy

• Published in: Education and information technologies Vol. 24; no. 2; pp. 1173 - 1184
• Main Author: Efiloğlu Kurt, Özlem
• Format: Journal Article
• Language: English
• Published: New York Springer US 16.03.2019; Springer; Springer Nature B.V
• Subjects: Access to Information; Analysis; College Students; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Distance Education; Education; Educational Environment; Educational Technology; Electronic Learning; Evidence; Foreign Countries; Higher Education; Influence of Technology; Information management; Information Systems; Information Systems Applications (incl.Internet); Information Technology; Learning Activities; Learning Experience; Least Squares Statistics; Literature Reviews; Online education; Online instruction; Outcomes of Education; Student Attitudes; Student Surveys; Success; Teaching Methods; User Interfaces and Human Computer Interaction; User satisfaction; User Satisfaction (Information); Italy (Rome); Italy; E-learning; Partial least squares (PLS); Higher education; IS success model; ICT and education
• ISSN: 1360-2357; 1573-7608
• DOI: 10.1007/s10639-018-9821-4

This study aims to examine an e-learning system based on student perceptions through employing the Information Systems Success Model (IS Success Model). The study is built on the assumption that system quality and information quality affect the system use and user satisfaction and in turn system success. The survey data was collected from 144 students who use an e-learning system at a public university in Rome, Italy. The data was subject to PLS path-modeling analysis via Smart PLS 3.0. The empirical results, which are drawn from the students’ self-reported perceptional evaluations about the e-learning system confirm that whereas system quality has significant impact on both system usage and user satisfaction, information quality has significant impact only on user satisfaction. Moreover, the author also found that both user satisfaction and system usage have positive and significant impacts on system success.