智慧家庭是物聯網科技的一種應用，可提供家庭更舒適與便利的居住環境。此科技已存在多年，但尚未廣泛普及，且社會福祉潛力在某程度上被低估。然而COVID-19全球大流行，台灣商業與教育部門實施居家彈性工作與學習，民眾對於智慧家庭科技需求急遽上升。本研究目的在發展一個綜合理論模型，更好解釋疫情期間民眾對於智慧家庭科技續購意願差異的來源。為此，我們整合科技接受模型、創新擴散理論和消費者認知創新構念，提出一個整合式研究模型，並透過結構方程統計模型對384位民眾的調查數據進行統計驗證。資料分析結果顯示，認知有用、可相容性和可觀察性是疫情期間影響民眾採用智慧家庭科技的重要決定因素。此外，此整合式理論模型可解釋智慧家庭科技民眾續購意願約60%的變異。因此，本研究可對台灣智慧家庭科技接受文獻與產業管理實務做出貢獻與建議。 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.