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

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

Automated summary

This study investigated the extent to which the expectation confirmation model can predict the intention of students to continue using Virtual Desktop Infrastructure (VDI). The results showed that satisfaction and perceived usefulness are significant factors in predicting students' intention to continue using VDI. The study also recommends further research in the field of VDI to explore other factors that contribute to continued use.