Project Cost Management Under Contingency: An Effective Path Analysis of Fuzzy Set Qualitative Comparative Analysis

Rujin Liao (), Jing Zhang (), Ruwen Tan (), Yilin Wu () and Minjiu Yu ()
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Rujin Liao: Sichuan University, College of Architecture and Environment
Jing Zhang: Sichuan University, College of Architecture and Environment
Ruwen Tan: Sichuan University, College of Architecture and Environment
Yilin Wu: Sichuan University, College of Architecture and Environment
Minjiu Yu: Sichuan University, College of Architecture and Environment

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1692-1704 from Springer

Abstract: Abstract Construction projects under contingency are characterized by high uncertainty and difficulty in cost control. This study aims to analyze the impact of uncertainty on project cost management under contingency. By reviewing related literature, the influencing factors of construction cost management are identified. Cost data were collected for 6 projects under construction affected by COVID-19 from 2020 to 2022. On this basis, an analytical evaluation of the effective path for construction projects was performed using the fuzzy set qualitative comparative analysis (fsQCA) method to evaluate the influence of antecedent variables on explanatory variables in the combined state, which helps construction contractors to find solutions to cost management problems in unexpected situations. The result is valid non-Boolean configuration paths.

Keywords: Risk Project Cost Management; fsQCA; Configuration Analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_172

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