文献类型：期刊文献

英文题名：Using Fuzzy Cognitive Maps to Explore the Dynamic Impact of Megaproject Governance on Performance

作者：Luo, Lan[1];Zhong, Zhiwen[2];Zheng, Junwei[3];Bo, Qiushi[1];Yang, Delei[4]

第一作者：Luo, Lan

通讯作者：Bo, QS[1]

机构：[1]Nanchang Univ, Sch Publ Policy & Adm, Nanchang 330031, Peoples R China;[2]Nanchang Univ, Sch Infrastruct Engn, Nanchang 330031, Peoples R China;[3]Kunming Univ Sci & Technol, Fac Civil Engn & Mech, Kunming 650093, Peoples R China;[4]Henan Univ Econ & Law, Sch Construct Management & Real Estate, Zhengzhou 450046, Peoples R China

第一机构：Nanchang Univ, Sch Publ Policy & Adm, Nanchang 330031, Peoples R China

通讯机构：[1]corresponding author), Nanchang Univ, Sch Publ Policy & Adm, Nanchang 330031, Peoples R China.

年份：2023

卷号：29

期号：2

外文期刊名：JOURNAL OF INFRASTRUCTURE SYSTEMS

收录：;EI(收录号：20231013675381);Scopus(收录号：2-s2.0-85149344854);WOS:【SCI-EXPANDED(收录号:WOS:000971189100015)】；

基金：AcknowledgmentsThis study is supported by the National Natural Science Foundation of China (71901113, 72061025, 71962019, 71801083, and 72161021), Jiangxi Provincial Natural Science Foundation (20212ACB214014), and Jiangxi Provincial Social Science Foundation (21GL05). The authors would like to thank the experts for their support of this work.

语种：英文

外文关键词：Megaproject governance; Project performance; Fuzzy cognitive map (FCM)

摘要：Megaprojects are facing great challenges and traditional project governance theories are gradually showing inadaptability. The purpose of this study is to investigate the dynamic impact of megaproject governance and project performance using a dynamic approach based on a fuzzy cognitive map (FCM). From the existing governance review, six governance factors for megaprojects were identified: government coordination, government supervision, risk sharing, revenue distribution, relationship maintenance, and cultural development. Then the causal relationships and weights between megaproject governance and performance were established through a questionnaire survey of experts, thus the FCM model was constructed. Finally, the dynamic interactions between megaproject governance factors and performance were investigated through predictive analysis, diagnostic analysis, and sensitivity analysis. The findings indicate that (1) each of the six governance factors are positively correlated with project performance; (2) revenue distribution has the greatest positive impact on the project performance of megaprojects, which is also the fundamental factor for changes in project performance; and (3) the impact of governmental governance on project performance cannot be ignored during the implementation of megaproject management. This study contributes to (1) analyzing the key factors influencing project performance by exploring dynamic interactions between governance factors and performance, and ultimately promoting project success; and (2) providing new perspectives to improve performance and guide governance practices for megaprojects.