The rapid development of smart home technology has accelerated the widespread adoption of smart home cameras, while simultaneously raising users’ concerns regarding privacy risks and security issues. This study aims to investigate the structural rel...
The rapid development of smart home technology has accelerated the widespread adoption of smart home cameras, while simultaneously raising users’ concerns regarding privacy risks and security issues. This study aims to investigate the structural relationships among personalization, security, personal innovativeness, brand trust, perceived usefulness, perceived ease of use, perceived value, and continuous usage intention in the context of smart home cameras. In particular, perceived risk was established as a moderating variable to examine its influence on the relationship between perceived value and continuous usage intention.
To verify the proposed research model, Structural Equation Modeling (SEM) based on SmartPLS was conducted using survey data collected from smart home camera users. The empirical results partially supported the proposed hypotheses and revealed several significant relationships among the variables. Specifically, security and brand trust were found to have significant positive effects on perceived usefulness, whereas personalization and personal innovativeness did not show statistically significant effects.In addition, none of the independent variables significantly influenced perceived ease of use. Perceived usefulness had a significant positive effect on perceived value, while perceived ease of use did not significantly affect perceived value. Furthermore, perceived value demonstrated a strong positive influence on continuous usage intention.
The moderating effect analysis further indicated that perceived risk significantly weakened the positive relationship between perceived value and continuous usage intention. In other words, even when users perceived high value in smart home cameras, higher levels of perceived risk reduced their intention to continue using the service. These findings suggest that users’ evaluation of smart home cameras is influenced not only by functional and technological benefits but also by concerns regarding privacy and security risks.
This study provides important theoretical implications by extending the Technology Acceptance Model (TAM) and privacy-related perspectives into the smart home camera context. Practically, the findings suggest that smart home device providers should strengthen security systems, reduce users’ perceived risks, and enhance perceived value in order to improve users’ continuous usage intention and long-term platform sustainability.