IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v37y2019i1p44-60.html
   My bibliography  Save this article

Impacts of human communication network topology on group optimism bias in Capital Project Planning: a human-subject experiment

Author

Listed:
  • Jing Du
  • Dong Zhao
  • Ou Zhang

Abstract

Capital projects are critical to the world’s economy. Despite the advancement of prediction techniques, capital projects still suffer from overly optimistic plans, i.e. tight budgets and schedules. This article focuses on understanding this issue from the perspective of optimism bias, i.e. a psychological bias toward the inclination to be overly optimistic about the chance of success. We hypothesize that human communication network topologies are strong predictors of harmful optimism bias at the group level in project planning. A human-subject experiment was performed to test group optimism bias levels under different communication network topologies. We recruited 103 subjects to estimate the cost of an artificial power plant project. The communication networks were manipulated to reflect different topologies. The subjects’ estimates were compared to a Monte Carlo simulation result based on real historical data to quantify the level of optimism bias at the group level. Preliminary results find that certain human communication network topology leads to more realistic estimates, possibly due to a process of updating individual judgement based on peers’ judgements. The findings of this study are expected to urge further theoretical investigations into the development of simple yet effective decision support systems to reduce decision-making bias in capital project planning.

Suggested Citation

  • Jing Du & Dong Zhao & Ou Zhang, 2019. "Impacts of human communication network topology on group optimism bias in Capital Project Planning: a human-subject experiment," Construction Management and Economics, Taylor & Francis Journals, vol. 37(1), pages 44-60, January.
  • Handle: RePEc:taf:conmgt:v:37:y:2019:i:1:p:44-60
    DOI: 10.1080/01446193.2018.1508848
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2018.1508848
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446193.2018.1508848?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orsolya Nagy & Ilona Papp & Roland Zsolt Szabó, 2021. "Construction 4.0 Organisational Level Challenges and Solutions," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    2. Zhongfu Li & Shikun Liu, 2021. "Media audio-visual program supervision system based on network topology," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 705-717, August.

    More about this item

    Statistics

    Access and download statistics

    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:taf:conmgt:v:37:y:2019:i:1:p:44-60. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.