Author(s): Reza Mohammadkazemi, Aref Golivari, Nader Goudarzi
This research investigates the factors influencing the adoption of electronic learning (e-learning) systems during the COVID-19 pandemic among university students majoring entrepreneurship in Iran. Understanding these factors helps students, instructors, and educational institutions optimize the use of e-learning systems in challenging situations. The Technology Acceptance Model (TAM) and Task-Technology Fit (TTF) theory were used as the theoretical foundation for building a conceptual framework, with the addition of Perceived Trust to provide a comprehensive model. A questionnaire was distributed to 380 entrepreneurship students, from which 321 valid responses were collected. The data was analyzed using Structural Equation Modeling (SEM) through AMOS software to examine the relationships between key constructs: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, Task-Technology Fit (TTF), Behavioral Intention (BI), and Actual Use. The findings revealed that while PU and PEOU positively influence students' attitudes toward e-learning, Trust plays a pivotal role in driving Behavioral Intention. However, the fit between technology and educational tasks (TTF) had a weaker impact on actual engagement. These insights highlight the importance of trust and system-task alignment for successful e-learning adoption.