Student Satisfaction and Continued Usage of Cloud-Based Smart Platforms: An Analysis from Chengdu, China
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Purpose: This article aimed to investigate the critical factors of the Cloud-Based Smart Platform that significantly impacted student satisfaction and continuance intention in Chengdu, China. The conceptual framework demonstrated the cause-and-effect relationships among perceived usefulness, confirmation, perceived ease of use, real-time interaction, perceived value, satisfaction, and continuance intention. Research design, data, and methodology: The researcher employed a quantitative approach (n=502) to distribute the questionnaire to students in Chengdu, the capital city of Sichuan Province, China. The non-probability sampling methods included judgmental sampling to select three representative information communication majors from the vocational college, quota sampling to determine the sample size, and convenience sampling to gather data and administer the questionnaires online. The researcher used structural equation modeling (SEM) and confirmatory factor analysis (CFA) to assess model fit, reliability, and construct validity for data analysis. Results: The results indicated that confirmation and real-time interaction significantly impacted satisfaction, an intermediary variable influencing students' continual intention. Perceived usefulness and perceived ease of use also notably affected teacher performance. Among these, perceived usefulness had a more substantial impact on students' continuance intention than perceived ease of use, with perceived value following closely. Conclusions: This study recommends the Cloud-Based Smart Platform (CBSP) as a viable solution for digital campus development. More campuses should consider increasing their investment in key factors to optimize student satisfaction and continuance intention.
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