Factor Effecting to Metaverse Information System through Student’s Satisfaction: A Cross-Sectional Study on University Students

Abstract

The research aimed to test the impact of perceived ease of use, perceived usefulness, personal innovativeness, usability, perceived trialability, system quality, and service quality on metaverse information systems through Saudi Arabian university students' satisfaction. For this purpose, data were collected from 320 students of Saudi Arabian universities by employing a self-administered survey instrument. Using a cross-sectional research design, and Structural Equation Modeling (SEM) technique through AMOS software. Regression results show that perceived ease of use, perceived usefulness, system quality, service quality, personal innovativeness, usability, and perceived trialability have a positive and significant impact on student satisfaction. On the other hand, student satisfaction also has a positive and significant impact on the intention of metaverse information systems of students in Saudi Arabia. The study results with these findings contributed that improving factors such as perceived ease of use, usefulness, and quality dimensions could lead to higher student satisfaction, directly influencing Saudi Arabian students’ intention to use metaverse systems. Therefore, it is suggested that educational institutions should focus on optimizing these aspects to create more engaging and efficient learning environments. By doing so, they can facilitate the broader adoption of metaverse technologies to drive innovations in all institutions.