IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v206y2021ics0951832020308000.html
   My bibliography  Save this article

Identifying key factors affecting the performance of team decision-making based on the analysis of investigation reports issued from diverse industries

Author

Listed:
  • Ham, Dong-Han
  • Jung, Won-Jun
  • Park, Jinkyun

Abstract

Operational experience of sociotechnical systems has revealed that the degradation of their safety is attributable to human error. Accordingly, various kinds of human reliability analysis (HRA) techniques have been proposed over the past several decades for safety enhancement. The Fukushima accident, however, stressed that existing HRA techniques have a limitation in estimating the human error probability (HEP) of safety critical tasks that should be conducted under challenging circumstances (e.g., insufficient or misleading information) originating from the characteristics of a severe accident condition. This means that the very first step to properly estimate HEPs in severe accident conditions is to identify a catalog of key factors related to the performance of team decision-making tasks. This study therefore suggests a conceptual model based on significant factors pertaining to the performance of team decision-making tasks. Event investigation reports issued from diverse sociotechnical systems were analyzed along the proposed model, and as a result, 14 key factors were identified that could be a good starting point to scrutinize the performance of team decision-making tasks.

Suggested Citation

  • Ham, Dong-Han & Jung, Won-Jun & Park, Jinkyun, 2021. "Identifying key factors affecting the performance of team decision-making based on the analysis of investigation reports issued from diverse industries," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    • Handle: RePEc:eee:reensy:v:206:y:2021:i:c:s0951832020308000
    DOI: 10.1016/j.ress.2020.107304
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832020308000
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2020.107304?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.

    References listed on IDEAS

    as
    1. Ham, Dong-Han & Park, Jinkyun & Jung, Wondea, 2012. "Model-based identification and use of task complexity factors of human integrated systems," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 33-47.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Lai, Hsueh-Yi, 2023. "Breakdowns in team resilience during aircraft landing due to mental model disconnects as identified through machine learning," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    2. Rose, Rodrigo L. & Mugi, Sohan R. & Saleh, Joseph Homer, 2023. "Accident investigation and lessons not learned: AcciMap analysis of successive tailings dam collapses in Brazil," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Asadayoobi, N. & Taghipour, S. & Jaber, M.Y., 2022. "Predicting human reliability based on probabilistic mission completion time using Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

    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. Ge, Xiangyu & Zhou, Qianxiang & Liu, Zhongqi, 2020. "Assessment of space station on-orbit maintenance task complexity," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Qiao, Yidan & Zhang, Xian & Wang, Hanyu & Chen, Dengkai, 2024. "Dynamic assessment method for human factor risk of manned deep submergence operation system based on SPAR-H and SD," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    3. Liu, Peng & Li, Zhizhong, 2014. "Comparison of task complexity measures for emergency operating procedures: Convergent validity and predictive validity," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 289-293.
    4. Sobhani, A. & Wahab, M.I.M. & Neumann, W.P., 2017. "Incorporating human factors-related performance variation in optimizing a serial system," European Journal of Operational Research, Elsevier, vol. 257(1), pages 69-83.
    5. Hendrik Stouten & Andreas Größler, 2017. "Task Complexity in Individual Stock Control Tasks for Laboratory Experiments on Human Understanding of Dynamic Systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(1), pages 62-77, January.
    6. Maria Francesca Milazzo & Giuseppa Ancione & Giancarlo Consolo, 2021. "Human Factors Modelling Approach: Application to a Safety Device Supporting Crane Operations in Major Hazard Industries," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    7. Liu, Jianqiao & Zou, Yanhua & Wang, Wei & Zhang, Li & Liu, Xueyang & Ding, Qianqiao & Qin, Zhuomin & ÄŒepin, Marko, 2021. "Analysis of dependencies among performance shaping factors in human reliability analysis based on a system dynamics approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

    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:eee:reensy:v:206:y:2021:i:c:s0951832020308000. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.