Developing a risk framework for assembly construction based on stakeholder theory and structural equation modelling

7Citations
Citations of this article
68Readers
Mendeley users who have this article in their library.

Abstract

Occupational injuries in the construction industry have plagued many countries, and many cases have shown that accidents often occur because of a combination of project participants. Assembled construction (AC) projects have received extensive attention from Chinese scholars as a future trend, but few studies have explored the interrelationships and potential risks of various stakeholders in depth. This study fills this research gap by proposing a multi-stakeholder AC risk framework. The study surveyed 396 stakeholders, then analyzed the collected data and created a risk framework based on Structural Equation Modelling (SEM) and the CRITIC weighting method. The results revealed that factors like "regular supervision is a formality," "blindly approving the wrong safety measures," and "failure to organize effective safety education and training." are vital risks in AC of China. Finally, the study validates the risk factors and the framework with 180 real-life cases, which shows that the proposed framework is theoretically grounded and realistic. The study also suggests multi-level strategies such as introducing AI-based automated risk monitoring, improving the adaptability of normative provisions to technological advances, and advancing the culture of project communities of interest to ensure AC’s safe practices.

Cite

CITATION STYLE

APA

Junjia, Y., Xiaoxiang, Q., Alias, A. H., Haron, N. A., & Bakar, N. A. (2024). Developing a risk framework for assembly construction based on stakeholder theory and structural equation modelling. PLoS ONE, 19(5 May). https://doi.org/10.1371/journal.pone.0301370

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free