Influencing factors and governance strategies of megaproject complexity based on fuzzy-set qualitative comparative analysis

Abstract

Purpose

This study aims to obtain governance strategies for managing the complexity of megaprojects by analyzing the impact of individual factors and their configurations using the fuzzy-set qualitative comparative analysis (fsQCA) method and to provide references for project managers.

Design/methodology/approach

With the continuous development of the economy, society and construction industry, the number and scale of megaprojects are increasing, and the complexity is becoming serious. Based on the relevant literature, the factors affecting the complexity of megaprojects are determined through case analysis, and the paths of factors affecting the complexity are constructed for megaprojects. Then, the fsQCA method is used to analyze the factors affecting the complexity of megaprojects through 245 valid questionnaires from project engineers in this study.

Findings

The results support the correlation between the complexity factors of megaprojects, with six histological paths leading to high complexity and seven histological paths leading to low complexity.

Originality/value

It breaks the limitations of the traditional project complexity field through a “configuration perspective” and concludes that megaproject complexity is a synergistic effect of multiple factors. The study is important for enriching the theory of megaproject complexity and providing complexity governance strategies for managers in megaproject decision-making.

Citation

Wu, Q., Bo, Q., Luo, L., Yang, C. and Wang, J. (2024), "Influencing factors and governance strategies of megaproject complexity based on fuzzy-set qualitative comparative analysis", Engineering, Construction and Architectural Management, Vol. 31 No. 9, pp. 3533-3556. https://doi.org/10.1108/ECAM-12-2022-1203