Fuzzy synthesis analysis of social network risk factors in supply chains of African megaprojects
Built Environment Project and Asset Management
ISSN: 2044-124X
Article publication date: 4 September 2024
Abstract
Purpose
Megaproject supply chains involve multiple layers of stakeholders, leading to complex relationships and risks. The role of social interactions within these networks is unexplored. Therefore, an analysis of construction supply chain risk management from the perspective of social networks is essential to identify related stakeholders, their relationships and the social network risk factors.
Design/methodology/approach
About 65 risk factors, identified from literature and interviews, informed the development of a questionnaire for the study. Online questionnaires administered in Ghana and South Africa produced 120 valid responses. Feedback from the responses was ranked and assessed to determine the overall social network risk levels using the Normalised Mean and Fuzzy synthesis analysis methods.
Findings
About 24 risk factors were identified and classified into six groups: Client/Consultant-related, Community-related, Government-related, Industry Perception-related, Supplier-related and Stakeholder Opportunism. The top five social network risks identified include bribery, supplier monopoly, incomplete design teams, poor communication and lack of collaboration.
Practical implications
The study provides detailed evaluations of social network risks in Africa, and the findings will help in developing strategies to mitigate supply chain disruptions caused by these challenges.
Originality/value
This study contributes to the literature on supply chain risk management by offering context-specific insights into the social network perspective of megaprojects in Africa, which differs from those in developed countries.
Keywords
Acknowledgements
This research is part of a Ph.D. programme at Stellenbosch University, leading to the award of a Ph.D. in Civil Engineering (Construction Management). The authors wish to express gratitude to Stellenbosch University and Koforidua Technical University for the partial scholarship offered to the student for this Ph.D. programme.
Citation
Kadan, R. and Wium, J. (2024), "Fuzzy synthesis analysis of social network risk factors in supply chains of African megaprojects", Built Environment Project and Asset Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BEPAM-03-2024-0066
Publisher
:Emerald Publishing Limited
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