IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13599-d948553.html
   My bibliography  Save this article

Complexity and Dynamics in Construction Project Organizations

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13599/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13599/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    6. 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.
    7. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    13. 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.
    14. 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.
    15. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    2. James Caton, 2017. "Entrepreneurship, search costs, and ecological rationality in an agent-based economy," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 107-130, March.
    3. Namjun Cha & Junseok Hwang & Eungdo Kim, 2020. "The optimal knowledge creation strategy of organizations in groupthink situations," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 207-235, June.
    4. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    5. Zhao, Jianyu & Wu, Guangdong & Xi, Xi & Na, Qi & Liu, Weiwei, 2018. "How collaborative innovation system in a knowledge-intensive competitive alliance evolves? An empirical study on China, Korea and Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 128-146.
    6. P. J. Lamberson, 2018. "Approximating individual interactions in compartmental system dynamics models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 284-326, January.
    7. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    8. Bier, Vicki & Gutfraind, Alexander, 2019. "Risk analysis beyond vulnerability and resilience – characterizing the defensibility of critical systems," European Journal of Operational Research, Elsevier, vol. 276(2), pages 626-636.
    9. Citera, Emanuele & Sau, Lino, 2019. "Complexity, Conventions and Instability: the role of monetary policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201924, University of Turin.
    10. Rodrigo J. Harrison & Roberto Munoz, 2003. "Stability and Equilibrium Selection in a Link Formation Game," Game Theory and Information 0306004, University Library of Munich, Germany.
    11. Sanjeev Goyal & Fernando Vega-Redondo, 2000. "Learning, Network Formation and Coordination," Econometric Society World Congress 2000 Contributed Papers 0113, Econometric Society.
    12. Theodosio, Bruno Miller & Weber, Jan, 2023. "Back to the classics: R-evolution towards statistical equilibria," ifso working paper series 28, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    13. Jeffery S. McMullen & Dimo Dimov, 2013. "Time and the Entrepreneurial Journey: The Problems and Promise of Studying Entrepreneurship as a Process," Journal of Management Studies, Wiley Blackwell, vol. 50(8), pages 1481-1512, December.
    14. Bich, Philippe & Teteryatnikova, Mariya, 2023. "On perfect pairwise stable networks," Journal of Economic Theory, Elsevier, vol. 207(C).
    15. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    16. Levent Yilmaz, 2011. "Toward Multi-Level, Multi-Theoretical Model Portfolios for Scientific Enterprise Workforce Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-2.
    17. Sommarat Chantarat & Christopher Barrett, 2012. "Social network capital, economic mobility and poverty traps," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 299-342, September.
    18. Péter Bayer & Ani Guerdjikova, 2020. "Optimism leads to optimality: Ambiguity in network formation," Working Papers hal-03005107, HAL.
    19. Berninghaus, Siegfried K. & Ehrhart, Karl-Martin & Ott, Marion, 2008. "Myopically Forward-Looking Agents in a Network Formation Game: Theory and Experimental Evidence," Sonderforschungsbereich 504 Publications 08-02, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    20. Mark Lubell & Adam Douglas Henry & Mike McCoy, 2010. "Collaborative Institutions in an Ecology of Games," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 287-300, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13599-:d:948553. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.