Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis.
In: Engineering Construction & Architectural Management (09699988), Jg. 31 (2024-06-01), Heft 5, S. 1994-2010
academicJournal
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Purpose: This paper constructs the uncertainty analysis model of prefabricated building supply chain risk. The model is designed to study the formation path of prefabricated building supply chain risk and is expected to be used by industry stakeholders for supply chain risk management. Design/methodology/approach: Based on the uncertainty circle model, construct a configuration analysis framework for supply chain risks in prefabricated buildings. The fuzzy set qualitative comparative analysis (fsQCA) is used to study the configuration influence of five uncertain factors, including environment, plan-control, demand-supply, manufacturing and assembly-transportation, on the risk of the prefabricated building supply chain. Findings: There are three paths to promote the high-risk generation of the prefabricated building supply chain: assembly-transportation-oriented, plan-control-oriented and manufacturing-oriented. There is a specific equivalent substitution relationship among the five causal conditions. Under specific conditions, different combinations of conditions have the same effect on promoting supply chain high-risk generation through equivalent substitution. Originality/value: The multiple concurrent causal relationships of risk conditions in the assembly construction supply chain are studied under the grouping perspective, which helps to expand the research perspective of assembly construction supply chain risk and provides theoretical guidance for supply chain risk management of construction enterprises. [ABSTRACT FROM AUTHOR]
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Titel: |
Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis.
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Autor/in / Beteiligte Person: | Wang, Dan ; Luo, Jingyi ; Wang, Yongkun |
Zeitschrift: | Engineering Construction & Architectural Management (09699988), Jg. 31 (2024-06-01), Heft 5, S. 1994-2010 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0969-9988 (print) |
DOI: | 10.1108/ECAM-09-2022-0878 |
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