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Complexity and Dynamics in Construction Project Organizations

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  • JeongWook Son

    (Department of Architectural and Urban Systems Engineering, Ewha Womans University, 52 Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea)

Abstract

Despite the significant influence of organizational elements on the performance of construction projects, these elements are regarded as fixed, or reflected in an implicit manner, in current project management techniques. This study investigated how the organizational dynamics formed within a project organization based on complexity theory are described, and how organizational factors affect project performance during a construction project. It also presented agent-based simulation (ABS) as a means to understand organizational dynamics in construction project organizations. The author found that manager optimism bias toward organizational factors leads to unrealistic project planning and execution, ultimately having negative effects on project performance, and that developing ABS could enhance the understanding of the organizational aspect in the construction management process. This study is significant, as it enhances the understanding of the organizational aspect of a construction project, and presents a new direction for reflecting the organizational aspect in the project management process.

Suggested Citation

  • JeongWook Son, 2022. "Complexity and Dynamics in Construction Project Organizations," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13599-:d:948553
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    References listed on IDEAS

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    1. Colin Gray & Richard John Davies, 2007. "Perspectives on experiences of innovation: the development of an assessment methodology appropriate to construction project organizations," Construction Management and Economics, Taylor & Francis Journals, vol. 25(12), pages 1251-1268.
    2. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    3. John A. Sokolowski & Catherine M. Banks & Thomas J. Dover, 2016. "An agent-based approach to modeling insider threat," Computational and Mathematical Organization Theory, Springer, vol. 22(3), pages 273-287, September.
    4. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    5. Jackson, Matthew O. & Watts, Alison, 2002. "On the formation of interaction networks in social coordination games," Games and Economic Behavior, Elsevier, vol. 41(2), pages 265-291, November.
    6. WoonSeong Jeong & JeongWook Son, 2016. "An Algorithm to Translate Building Topology in Building Information Modeling into Object-Oriented Physical Modeling-Based Building Energy Modeling," Energies, MDPI, vol. 9(1), pages 1-23, January.
    7. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    8. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461, October.
    9. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
    10. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    11. Hazhir Rahmandad & John Sterman, 2008. "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models," Management Science, INFORMS, vol. 54(5), pages 998-1014, May.
    12. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    13. Paul Chan & Rachel Cooper & Patricia Tzortzopoulos, 2005. "Organizational learning: conceptual challenges from a project perspective," Construction Management and Economics, Taylor & Francis Journals, vol. 23(7), pages 747-756.
    14. Lingna Lin & He Wang, 2019. "Dynamic incentive model of knowledge sharing in construction project team based on differential game," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(12), pages 2084-2096, December.
    15. Jacqueline Tsz Yin Lo & Calvin Kam, 2021. "Innovation Performance Indicators for Architecture, Engineering and Construction Organization," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    16. Meng Lv & Shaohong Feng, 2021. "Temporary teams: current research focus and future directions," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 1-18, February.
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