Key Factors Shaping Vocational College Students' Perceived Usefulness and Behavioral Intentions to Adopt Internet of Things (IoT) Technology in Sichuan, China
Keywords:
Perceived Enjoyment Perceived Security, Perceived Convenience, Behavioral Intention, Internet of ThingsAbstract
Purpose: This paper aims to study which factors significantly impact students' behavioral intention and perceived usefulness in higher vocational colleges in Sichuan, China when using the Internet of Things (IoT). The conceptual framework illustrates the causal relationships among perceived enjoyment, perceived security, perceived convenience, perceived usefulness, perceived ease of use, trust, and behavioral intention. Research design, data, and methodology: The author surveyed students at Sichuan Traffic Vocational and Technical College using quantitative techniques (n=500). The non-probability sampling included judgment sampling of students from four information technology-related majors at the institution, quota sampling to determine the sample size, and convenience sampling for data collection and questionnaire distribution both online and offline. The researchers employed structural equation modeling (SEM) and confirmatory factor analysis (CFA) for data analysis, which included model fit, reliability, and structural validity. Results: There are significant causal relationships between perceived enjoyment, perceived security, and trust with behavioral intention as proposed in the conceptual framework. Perceived convenience and perceived ease of use have a significant impact on perceived usefulness, which serves as a key mediating variable that significantly influences behavioral intention. Conclusion: To improve the credibility of future studies, it is recommended to gather insights from a wider variety of industry groups, increase the diversity of participants, and collect data at multiple time points.
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