Extending ECM with Quality Factors to Investigate Continuance Intention to Use E-learning

Fx. Hendra Prasetya, Bernardinus Harnadi, Albertus Dwiyoga Widiantoro, Agus Cahyo Nugroho
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引用次数: 7

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.
基于质量因素的ECM扩展研究学生持续使用电子学习的意向
Covid-19大流行迫使教学和学习以有限的方式进行。鉴于此,本研究旨在探讨素质因素对网络学习持续意向的影响。本研究采用期望-确认模型(ECM)来表达信息质量、系统质量、服务质量对确认和满意度的影响,并加入感知有用性和自我效能感来揭示它们对满意度的影响。采用325名受访者对提出的模型进行了测试。他们是生活在数字本土文化中的年轻人。对数据的分析分两个阶段进行,第一阶段是检验效度和信度,当结果通过最小值时对变量进行相关性分析。第二阶段,使用结构方程模型(SEM)使用偏最小二乘法(PLS)检查变量的因果效应。研究结果表明,质量因素是确定满意度和持续使用电子学习的决定性因素。确认也由系统的感知有用性和使用系统的自我效能决定。研究结果表明,网络学习系统的质量是影响学生继续使用网络学习系统意愿的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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