Intentions of Students to Continue Using Virtual Desktop Infrastructure: Expectation Confirmation Model Perspective

This predictive correlational study investigated the extent to which expectation confirmation model can predict intention of students continue using virtual desktop infrastructure (VDI). It also examined relationships satisfaction, perceived usefulness, and level with using. The data were collected through an e-questionnaire in 367 male female from Institute Public Administration (IPA) participated. They had previously used computer applications software VDI for a number their courses. Structural equation modeling (SEM) was test hypotheses. results indicated that satisfaction usefulness statistically significant predicting intended use. indirectly predicted students’ its effect on usefulness. findings suggest it is important improve learning experiences raise due impact VDI. recommends more research be conducted field explore other factors explain contribute continued