英文摘要 |
Smart home technology is an application of IoT, which can provide comfortable and convenient environment for families. The technology has existed for many years, but it has not been widely accepted before COVID-19. However, with the global pandemic of COVID-19, business and education institutions have implemented flexible work and study from home, and thus the demand for smart home technology has increased sharply. The purpose on this study is to develop a comprehensive model to better explain the sources of variance in the intention to repurchase smart home technology during the epidemic. To do so, we integrated the constructs from technology acceptance model, innovation diffusion theory, and consumer perceived innovativeness to propose a conceptual model and validate it through the structural equation statistical model on the survey data of 384 respondents. The results show that perceived usefulness, compatibility, and observability are important determinants that affect repurchase intention of smart home technology during the epidemic. In addition, this integrated conceptual model can explain about 60% of the variance in the intention to repurchase smart home technology. Therefore, this paper can make contributions to the literature of smart home technology acceptance for Taiwanese and suggestion to industry management practices. |