Diffusion prediction of prefabricated construction technology under multi-factor coupling

Li, T; Li, Z and Dou, Y (2023) Diffusion prediction of prefabricated construction technology under multi-factor coupling. Building Research & Information, 51(3), pp. 333-353. ISSN 0961-3218

Abstract

Prefabricated construction (PC) is regarded as an effective way to reduce carbon emissions in the construction sector and attracts increasing attention from academia and industry. However, the development trend of PC technology diffusion remains unclear, which is not conducive to improving the PC’s promotion. To address this issue, this study predicts the diffusion trend of PC technology considering multi-factor interaction and reveals its underlying mechanism. The significance of influencing factors of PC technology diffusion is explored through the empirical research method based on partial least squares-structural equation modelling. The diffusion trend of PC technology is then predicted using the system dynamics considering the interaction of those key factors. The results indicate that both perceived superiority and knowledge sharing have positive influences on PC technology diffusion, and they mediate the path from organizational climate to PC technology diffusion. Network embeddedness influences PC technology diffusion through knowledge sharing. Under the above-factors interaction, PC technology diffuses continuously until stability in the next 48 months, with a diffusion speed trend of first increasing and then decreasing. The diffusion prediction of PC technology under multi-factor coupling in this study fills up the gap in existing research. The conclusions are suggestive for promoting PC technology effectively.

Item Type: Article
Uncontrolled Keywords: diffusion prediction; multi-factor coupling; partial least squares-structural equation modelling; prefabricated construction technology; system dynamics
Index terms: embeddedness, academia, construction technology, interaction, carbon emission, promotion, influencing factor, coupling, system dynamics, construction sector, partial least square, knowledge sharing, stability, structural equation modelling
Subjects: structural engineering, management, sociology, educational institutions, systems engineering, statistical analysis, behavioral psychology, industry analysis, digital engineering, risk assessment, computing systems, climate science, knowledge management
Topics: Digital Applications, Human Resources, Education, Information Management, Engineering Principles, Research Practice, Risk Management, Sustainability
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here