Pathways to diffusion of prefabricated construction technology in China: A structural equation modeling study

Read full text
Authors: Feifei Liao, Jenny Ong, Li Xu, Wu Zhang, Chengyuan Wang, Jianying Zhang
Cited by: 0
References: 39

Abstract

Prefabricated construction technology (PCT) is gaining global attention for its potential to improve productivity, reduce waste, and enhance project delivery performance. However, diffusion remains uneven because regulatory steering, organizational readiness, and stakeholder firms’ intentions interact in complex ways. Previous studies have been limited by focusing on a single theoretical perspective or by incomplete integration, hindering understanding of pathways linking innovation perceptions, contextual enablers, diffusion intention, and diffusion-related behavior across different levels. To address this gap, this study developed and validated an integrated model that encompasses behavioral, technological, organizational, and environmental mechanisms underlying PCT diffusion. The model was tested using survey responses from 352 construction professionals in China and was analyzed through structural equation modeling. The results showed that diffusion intention functions as a central conduit through which multi-level antecedents shape diffusion behavior, while organizational factors also exert complementary direct effects on diffusion behavior. Overall, the study advances a multi-level explanation of PCT diffusion in policy-steered markets by demonstrating how technological perceptions and contextual enablers translate into diffusion behavior through both direct pathways and intention-mediated mechanisms. It provides a basis for aligning regulatory instruments with firm-level capability development.

Fields of Study & Subjects

BIM and Construction Integration Construction Project Management and Performance Sustainable Building Design and Assessment

Publication details

Journal / source
Journal of Building Engineering
Volume
123
Pages
115817–115817
Publication date
10 March 2026
Language
EN