Factors Influencing Intelligent Construction Adoption Intention in the Construction Industry A SEM Approach

Abstract

In recent years, the global construction industry has been experiencing a new wave of technological innovation, with developed countries increasingly leveraging artificial intelligence (AI) as a key enabler to enhance their competitiveness in the sector. Against this backdrop, intelligent construction, as a product of the deep integration of new-generation information technologies and modern building industrialization, has emerged as the core engine and an inevitable path for driving the industry's transformation and upgrading. As a core driver of this transformation, the intention to adopt intelligent construction is pivotal to the success of the construction industry's transition. This study focuses on analyzing the adoption intention of the building construction industry towards intelligent construction. Utilizing the AMOS-based Structural Equation Model (SEM), with a focus on the usage intention and acceptance level within the building construction industry, this research investigates the key influencing factors for the implementation of intelligent construction in this field. Furthermore, SPSS software was employed to conduct reliability and validity analyses to examine the differential impacts of each factor. This study aims to provide a valuable reference for the large-scale application of intelligent construction in the building construction industry.