A Proposed Model for the Adoption of E-Learning Systems in Jordanian Universities

This study proposes a unified model for explaining academics? continuance intention to use e-learning systems in Jordanian universities. By integrating the Unified Theory of Acceptance and Use of Technology (UTAUT), the Task?Technology Fit (TTF) model, management support, computer self-efficacy, perceived trust, and perceived autonomy, the authors develop and test a comprehensive structural model. Data were collected through an online self-administered questionnaire from 187 academics in public and private universities, and analysed using structural equation modelling. The findings show that technology characteristics strongly influence perceived task?technology fit, which in turn affects continuance intention to use e-learning systems. Performance expectancy and facilitating conditions are the most influential UTAUT constructs, while computer self-efficacy emerges as the strongest exogenous predictor. The proposed model demonstrates high predictive power and offers practical implications for universities and system developers seeking to enhance sustainable e-learning usage.