Effect of IoT Integration in Construction Industry: Structural Equation Modeling Approach

Abstract

This study aims to identify and analyze the key factors influencing the successful integration of Internet of Things (IoT) technology in the construction industry to enhance building efficiency and user experience. The integration of IoT technology in buildings has the potential to significantly improve operational efficiency, sustainability, and user satisfaction. However, achieving effective implementation requires a comprehensive understanding of various influencing factors. To develop a structural model elucidating the components critical for IoT integration in the construction sector. Amixed-methods approach was employed, combining qualitative interviews with 12 IoT experts and quantitative surveys involving 112 participants in a preliminary survey and 184 in a main survey. Data were analyzed using exploratory factor analysis (EFA) and structural equation modeling (SEM). The findings highlight the significant impact of data-driven decision-making (β = 0.163, p < 0.001), energy management (β = 0.242, p < 0.001), integration with interconnected systems (β = 0.104, p < 0.001), personalized user experiences (β = 0.247, p < 0.001), and predictive maintenance (β = 0.241, p < 0.001) on optimizing IoT utilization in buildings. The model demonstrates a good fit with a predictive relevance measure (Q² = 0.197). The study provides valuable insights for industry professionals and scholars, offering a framework to guide future IoT technology applications in construction to achieve enhanced efficiency and user satisfaction.