Abstract

Information technology (IT) developments and the COVID-19 pandemic have impacted learning processes, and all educational and organizational systems have adopted e-learning methods. A learning management system (LMS) is one of the most popular systems to support the e-learning process. This ubiquity, recent mass adoption, along with labor population trends in selfdevelopment, motivates us to investigate the factors involved in the continuance intention of LMS. Quantitative research was performed on a sample of 239 workers with LMS experience through an online questionnaire developed based on literature. We have found that the continuance intention was influenced by satisfaction and Task-Technology Fit (TTF). Furthermore, satisfaction was also influenced by performance expectancy, effort expectancy, and hedonic motivation. TTF was found to be influenced by task characteristics and technology characteristics. Finally, we have also found that performance expectancy is influenced by confirmation.

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