Quantitative analysis reveals key factors like performance expectancy and social influence in students' e-government adoption.
Digitalization in the education sector, particularly through e-government, is key to enhancing service effectiveness and efficiency in academic information systems. However, the application of this technology often faces challenges in terms of student acceptance, as it is the primary user. Using the Unified Theory of adoption and Use of Technology (UTAUT) and the E-Government Adoption approach, this study endeavors to explore the determinants affecting the adoption and utilization of the Academic Information System at Tidar University. The variables studied include performance expectations, convenience expectations, social influence, supporting conditions, security and privacy risks, and trust in government. This study used quantitative methods and involved 247 active students of the State Administration Study Program as respondents. Questionnaires were utilized for data collection in this research, and the responses were examined using Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) method. The analysis showed that the utilization of the system was substantially influenced by variables including performance expectancy, social influence, trust in governmental institutions, facilitating conditions, and behavioral intention. Meanwhile, effort expectancy, perceived risk, and security risk have no significant effect. These results verify that the optimal utilization of academic information systems on campus is significantly influenced by performance expectation, social influence, and trust in government
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Fadlurrahman et al. (2025) studied this question.
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