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Abbasi, S, Taghizade, K and Noorzai, E (2020) BIM-Based Combination of Takt Time and Discrete Event Simulation for Implementing Just in Time in Construction Scheduling under Constraints. Journal of Construction Engineering and Management, 146(12).

Assaad, R, El-adaway, I H, El Hakea, A H, Parker, M J, Henderson, T I, Salvo, C R and Ahmed, M O (2020) Contractual Perspective for BIM Utilization in US Construction Projects. Journal of Construction Engineering and Management, 146(12).

Assaad, R, El-adaway, I H, Hastak, M and Needy, K L (2020) Commercial and Legal Considerations of Offsite Construction Projects and their Hybrid Transactions. Journal of Construction Engineering and Management, 146(12).

Bangaru, S S, Wang, C, Zhou, X, Jeon, H W and Li, Y (2020) Gesture Recognition–Based Smart Training Assistant System for Construction Worker Earplug-Wearing Training. Journal of Construction Engineering and Management, 146(12).

Chang, S, Castro-Lacouture, D and Yamagata, Y (2020) Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling. Journal of Construction Engineering and Management, 146(12).

Erol, H, Dikmen, I, Atasoy, G and Birgonul, M T (2020) Exploring the Relationship between Complexity and Risk in Megaconstruction Projects. Journal of Construction Engineering and Management, 146(12).

  • Type: Journal Article
  • Keywords: Complexity; Risk; Uncertainty; Megaprojects; Mixed methods; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001946
  • Abstract:
    Although complexity and risk are inherent characteristics of megaconstruction projects, existing project management approaches fail to incorporate complexity-based thinking into risk management. Complexity is usually considered as the source of risk events, along with uncertainty. However, prevailing risk management practices are oriented toward only handling the uncertainty. The lack of integration between the complexity and other risk-related concepts leads to unrealistic project risk assessments and the formulation of imperfect management strategies. The aim of this research is to explore the relationship between complexity and risk in detail and propose an integrated risk assessment approach. For this purpose, a mixed-methods research approach was adopted to collect data via semistructured interviews and survey questions. Data obtained from 11 megaconstruction projects carried out by Turkish contractors were analyzed in two ways. Quantitative findings served to verify the relationship between complexity and risk in numerical terms, whereas qualitative findings were utilized to develop a framework that explains the nature of this relationship. The conceptual framework represents the links between complexity and risk in megaconstruction projects, together with uncertainty and management strategies. The existence of causal relations between these concepts may constitute a significant challenge during the risk assessment. Therefore, an integrated risk assessment process (IRAP) was proposed so that megaproject practitioners could develop better risk management plans. The findings of this research were based on megaconstruction projects, but they may also apply to other types of projects.

Jallan, Y and Ashuri, B (2020) Text Mining of the Securities and Exchange Commission Financial Filings of Publicly Traded Construction Firms Using Deep Learning to Identify and Assess Risk. Journal of Construction Engineering and Management, 146(12).

Kong, F and Dou, D (2020) RCPSP with Combined Precedence Relations and Resource Calendars. Journal of Construction Engineering and Management, 146(12).

Li, H, Luo, X and Skitmore, M (2020) Intelligent Hoisting with Car-Like Mobile Robots. Journal of Construction Engineering and Management, 146(12).

Loosemore, M, Sunindijo, R Y and Zhang, S (2020) Comparative Analysis of Safety Climate in the Chinese, Australian, and Indonesian Construction Industries. Journal of Construction Engineering and Management, 146(12).

Mahdavian, A and Shojaei, A (2020) Hybrid Genetic Algorithm and Constraint-Based Simulation Framework for Building Construction Project Planning and Control. Journal of Construction Engineering and Management, 146(12).

Nguyen, P H D, Tran, D Q and Lines, B C (2020) Empirical Inference System for Highway Project Delivery Selection Using Fuzzy Pattern Recognition. Journal of Construction Engineering and Management, 146(12).

Roupé, M, Johansson, M, Maftei, L, Lundstedt, R and Viklund-Tallgren, M (2020) Virtual Collaborative Design Environment: Supporting Seamless Integration of Multitouch Table and Immersive VR. Journal of Construction Engineering and Management, 146(12).

Sarihi, M, Shahhosseini, V and Banki, M T (2020) Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency. Journal of Construction Engineering and Management, 146(12).

Shi, J, Liu, B, Tan, J, Dai, J, Chen, J and Ji, R (2020) Experimental Studies and Microstructure Analysis for Rapid-Hardening Cement Emulsified Asphalt Mortar. Journal of Construction Engineering and Management, 146(12).

Signor, R, Love, P E D, Marchiori, F F and Felisberto, A D (2020) Underpricing in Social Infrastructure Projects: Combating the Institutionalization of the Winner’s Curse. Journal of Construction Engineering and Management, 146(12).

Wang, D, Wang, Y and Lu, Y (2020) Impact of Regulatory Focus on Uncertainty in Megaprojects: Mediating Role of Trust and Control. Journal of Construction Engineering and Management, 146(12).

Wu, W, Sandoval, A, Gunji, V, Ayer, S K, London, J, Perry, L, Patil, K and Smith, K (2020) Comparing Traditional and Mixed Reality-Facilitated Apprenticeship Learning in a Wood-Frame Construction Lab. Journal of Construction Engineering and Management, 146(12).

Xu, X, Chen, K and Cai, H (2020) Automating Utility Permitting within Highway Right-of-Way via a Generic UML/OCL Model and Natural Language Processing. Journal of Construction Engineering and Management, 146(12).

Yin, X, Bouferguene, A and Al-Hussein, M (2020) Data-Driven Sewer Pipe Data Random Generation and Validation. Journal of Construction Engineering and Management, 146(12).