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

Abstract

This paper has purpose to investigate the impact of quality factors on satisfaction and continuing intention in using e-learning system. The study employs expectationconfirmation 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 validity and reliability checking to perform correlation analysis of variables when pass the checking. 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.

Examining User Acceptance of MOOCs: The Role of Openness, Task Technology Fit, and Self-Efficacy

“…Task technology fit also has positive effect on Satisfaction [9] and perceived usefulness [8]. Therefore, we proposed: H2: Task technology fit has positive effect on perceived usefulness H3: Task technology fit has positive effect on confirmation H4: Task technology fit has positive effect on satisfaction Self-Efficacy -> Satisfaction Self-efficacy is the satisfied of student in accessing academic content of MOOCs by using computers [3]. Several research conducted studies on e-learning and stated that self-efficacy has direct effect on satisfaction [3], [10], [11], [7].…”

“…Adapted from [12], Satisfaction was defined as "the end user's affective attitude towards a MOOCs application. Several studies showed the significantly effect of Confirmation on Satisfaction [2], [3], [4], [5], [6], [7]). Khaled [2] and Day [4] conducted research on user acceptance of MOOCs, Prasetya [3], Prasetya [5], and Widiantoro [7] examine the adoption of eLearning systems on young people, and Prasetya [6] studied on consumer acceptance on e-marketplace.…”

“…Furthermore, other studies on MOOCs and e-learning adoption stated that confirmation has direct effect on PU ([2], [6], [7]) and Continue Intention [3].…”

“…ECM is a suitable model that predicts key factors of Information System (IS) success. In particular, ECM proposes two main drivers of "confirmation" performance and perceived usefulness, which together are related to customer satisfaction and, in turn, the sustained intention to use IS [2], [3], [4], [5], [6], [7]. There are few MOOC adoption studies employing task technology fit [8], [9] and openness [2].…”

“…Openness is interesting variable in e-learning studies but still limited in MOOC adoption study. Selfefficacy is also an important variable on e-learning adoption [3], [10], [11], [7] and this study employs the variable to integrate with ECM model. Based on these reviews, this study adds openness along with task technology fit and selfefficacy on ECM model to examine their significantly direct effect on the variables on the model including perceived usefulness, confirmation, and satisfaction.…”