(IEEE 2021) Extending ECM with Quality Factors to Investigate Continuance Intention to Use E-learning

Harnadi, Bernardinus (IEEE 2021) Extending ECM with Quality Factors to Investigate Continuance Intention to Use E-learning. 2021 Sixth International Conference on Informatics and Computing (ICIC). ISSN 978-1-6654-2155-3

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Abstract

Covid-19 pandemic forcing teaching and learning to be done in a limited way. Because of that situation this study has purpose to investigate the impact of quality factors on continuance intention to use e-learning. The study employs expectation–confirmation model (ECM) to express the effect of Information Quality, System Quality, Service Quality on Confirmation and Satisfaction and adds Perceived Usefulness and Self efficacy to reveal their effect on Satisfaction. The proposed model was tested using 325 respondents. They are young people that live in digital native culture. The analysis of data was carried out in two stages, the first stage is checking for validity and reliability to perform correlation analysis of variables when the result is pass minimal value. The second stage, the causal effects of variables are examined using Structural Equation Modelling (SEM) using Partial Least Square (PLS). The findings of the study reveal quality factors as the determining factors for the confirmation of the satisfying and using e-learning continually. The confirmation also was determined by the perceived usefulness of the system and the self-efficacy in using the system. The findings disclose the quality of e-learning system is prominent factor on continuance intention to use the system.

Item Type:	Article
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions:	Faculty of Computer Science > Department of Information Systems
Depositing User:	Mr Bernardinus Harnadi
Date Deposited:	29 May 2024 02:56
Last Modified:	31 May 2024 00:43
URI:	http://repository.unika.ac.id/id/eprint/35597

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