Drivers of Undergraduate Student Satisfaction with Smart Campus Technology: Insights from Chengdu
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Purpose: This study explores the primary factors affecting student satisfaction and continuance intention towards the Smart Campus at Xihua University in Chengdu, Sichuan. The conceptual framework interlinks system quality, information quality, service quality, perceived ease of use, perceived usefulness, user satisfaction, and continuance intention. Research design, data, and methodology: A quantitative approach was employed, involving a survey with 500 samples distributed among undergraduate students from four majors with strong IT literacy. The study utilized a multistage sampling technique, including Purposive and Convenience Sampling, to gather data. The analysis used Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Furthermore, the analysis included assessments of model fit, correlation validity, and reliability for each component. Results: The findings indicated that perceived usefulness and user satisfaction had the most significant direct effects on continuance intention (CI), with perceived ease of use showing the strongest indirect effect. The impact of system quality. service quality, perceived ease of use, perceived usefulness, and information quality on satisfaction diminished in a sequential manner. Conclusions: In order to make students realize the effectiveness and convenience of smart campuses, stakeholders such as Smart Campus enterprises, software developers, higher education institutions, school administrators, teachers, and IT workers should pay attention to the potential variables that have a significant impact on smart campus satisfaction and continued use intention.
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