Abstract

In today’s construction projects, which are getting more complex as a consequence of especially technical, organizational, and external aspects, complexities are considered a major source of risks. Moreover, risks may turn to complexity-creating elements and propagate additional risks through a bidirectional interaction. Complex construction projects, typically large-scale dynamic endeavors, require the realization of a high number of interdependent tasks through the consumption of various resources such as time, money, labor, and materials. In such projects, while complexities are usually assumed to be given or embedded, due to the subjective and dynamic characteristics of complexities, a tailored approach is required in order to manage them holistically without ignoring their interactions with risks. In this context, the aim of this study is to propose a practical approach that could be utilized to incorporate project complexities in the risk assessment of complex construction projects. The proposed approach entails the integrated usage of risk registers, risk breakdown structures, and complexity-incorporated risk-influence diagrams along with the utilization of a previously developed complexity assessment framework. The underlying basic assumption was that the complexities could directly or indirectly trigger risks, while the risks in turn affect the project objectives. The implementation of the approach in the case of an airport expansion construction project showed that linking the risks to project objectives starting from complexities based on this assumption is possible. In this way, it was shown that multidimensional cause-effect relationships between the complexities and risks, among the risks themselves, and the impact of this interaction on project objectives could be detected and diagrammatically evaluated. Furthermore, it was observed that incorporating complexities in the earlier stages of a project would lead to improvement in the assessment of risks. Considering the results of the case study, the proposed approach has the potential to contribute to improved risk management.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon request.

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Journal of Management in Engineering
Volume 38Issue 6November 2022

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Received: Apr 20, 2022
Accepted: Jul 14, 2022
Published online: Sep 10, 2022
Published in print: Nov 1, 2022
Discussion open until: Feb 10, 2023

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Lise Andringa [email protected]
Infrastructure Consultant, Drees & Sommer, Hoefbladstraat 20–22, Nieuw-Vennep, Amsterdam 2153 EX, Netherlands. Email: [email protected]
Researcher, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, Delft 2628 CN, Netherlands (corresponding author). ORCID: https://orcid.org/0000-0003-3102-0277. Email: [email protected]
Martijn Leijten, Ph.D. [email protected]
Assistant Professor, Faculty of Technology, Policy, and Management, Delft Univ. of Technology, Delft 2628 BX, Netherlands. Email: [email protected]
Associate Professor, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, Delft 2628 CN, Netherlands. ORCID: https://orcid.org/0000-0001-9309-6352. Email: [email protected]
Professor, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, Delft 2628 CN, Netherlands. ORCID: https://orcid.org/0000-0002-2421-4711. Email: [email protected]

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  • Collaborative Management Framework for Interorganizational Risk in Megaprojects Based on Metanetwork, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-6073, 40, 5, (2024).
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