Determinants of Satisfaction and Deep Structure Usage of Post-acceptance Learning Management Systems by Malaysian Higher Education Lecturers

Abstract

This study investigates factors influencing satisfaction and deep structure usage of Learning Management Systems (LMS) using a revised expectation-confirmation model of information system continuance. It addresses the gaps in the existing literature that primarily focused on behavioral intention in the acceptance stage instead of deep structure usage in the post-acceptance stage. Deep structure usage refers to using LMS features to support an underlying teaching task. The study population consists of 54 lecturers in Malaysian private universities in the post-acceptance stage of LMS implementation. Data was gathered using a web-based survey questionnaire. Various variables were analyzed through statistical correlation and regression using a statistical package for social science software. This study concludes that confirmation of expectation and perceived usefulness positively impacted satisfaction; confirmation of expectation was the strongest predictor of satisfaction. Additionally, the combined effects of satisfaction, confirmation of expectation, and perceived usefulness positively correlated with deep structure usage of LMS. This study investigates whether lecturers would use the system to its full capacity if they found the LMS features useful to a specific teaching task and if the system provides satisfaction and fulfills the lecturers’ expectations. Future research recommends extending the model to investigate determinants of satisfaction and confirmation of expectations of specific LMS features in terms of technical, design, capability, and experiential aspects. This extension would enable a more detailed understanding of aspects that determine satisfaction and confirmation of expectation, directly influencing deep structure usage.