IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v96y2011i5p515-533.html
   My bibliography  Save this article

Agent-based organizational modelling for analysis of safety culture at an air navigation service provider

Author

Listed:
  • Stroeve, Sybert H.
  • Sharpanskykh, Alexei
  • Kirwan, Barry

Abstract

Assessment of safety culture is done predominantly by questionnaire-based studies, which tend to reveal attitudes on immaterial characteristics (values, beliefs, norms). There is a need for a better understanding of the implications of the material aspects of an organization (structures, processes, etc.) for safety culture and their interactions with the immaterial characteristics. This paper presents a new agent-based organizational modelling approach for integrated and systematic evaluation of material and immaterial characteristics of socio-technical organizations in safety culture analysis. It uniquely considers both the formal organization and the value- and belief-driven behaviour of individuals in the organization. Results are presented of a model for safety occurrence reporting at an air navigation service provider. Model predictions consistent with questionnaire-based results are achieved. A sensitivity analysis provides insight in organizational factors that strongly influence safety culture indicators. The modelling approach can be used in combination with attitude-focused safety culture research, towards an integrated evaluation of material and immaterial characteristics of socio-technical organizations. By using this approach an organization is able to gain a deeper understanding of causes of diverse problems and inefficiencies both in the formal organization and in the behaviour of organizational agents, and to systematically identify and evaluate improvement options.

Suggested Citation

  • Stroeve, Sybert H. & Sharpanskykh, Alexei & Kirwan, Barry, 2011. "Agent-based organizational modelling for analysis of safety culture at an air navigation service provider," Reliability Engineering and System Safety, Elsevier, vol. 96(5), pages 515-533.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:5:p:515-533
    DOI: 10.1016/j.ress.2010.12.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832010002735
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2010.12.017?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. Mohaghegh, Zahra & Kazemi, Reza & Mosleh, Ali, 2009. "Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 1000-1018.
    2. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
    3. Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
    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. Alexei Sharpanskykh & Sybert H. Stroeve, 2011. "An agent-based approach for structured modeling, analysis and improvement of safety culture," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 77-117, March.
    2. Huang, Wencheng & Zhang, Yue & Yin, Dezhi & Zuo, Borui & Liu, Zhanru, 2021. "Urban bus accident analysis: based on a Tropos Goal Risk-Accident Framework considering Learning From Incidents process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Justin Pence & Zahra Mohaghegh, 2020. "A Discourse on the Incorporation of Organizational Factors into Probabilistic Risk Assessment: Key Questions and Categorical Review," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1183-1211, June.
    4. Yoon, Man Geun & Kim, Jin Ki, 2022. "Evaluation methodology for safety maturity in air navigation safety," Journal of Air Transport Management, Elsevier, vol. 98(C).
    5. Simsekler, Mecit Can Emre & Qazi, Abroon & Alalami, Mohammad Amjad & Ellahham, Samer & Ozonoff, Al, 2020. "Evaluation of patient safety culture using a random forest algorithm," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    6. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.

    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. Imron, Muhammad Ali & Gergs, Andre & Berger, Uta, 2012. "Structure and sensitivity analysis of individual-based predator–prey models," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 71-81.
    2. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    3. J Vatn, 2012. "Can we understand complex systems in terms of risk analysis?," Journal of Risk and Reliability, , vol. 226(3), pages 346-358, June.
    4. Barr, Jason & Saraceno, Francesco, 2009. "Organization, learning and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 39-53, May.
    5. Sven Ove Hansson & Terje Aven, 2014. "Is Risk Analysis Scientific?," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1173-1183, July.
    6. Drignei, Dorin, 2011. "A general statistical model for computer experiments with time series output," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 460-467.
    7. Rui Zhang & Taotao Chen & Daocai Chi, 2020. "Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    8. Chiming Guo & Shiyu Gong & Lin Tan & Bo Guo, 2012. "Extended GTST‐MLD for Aerospace System Safety Analysis," Risk Analysis, John Wiley & Sons, vol. 32(6), pages 1060-1071, June.
    9. Eichhorn Colombo, Konrad W., 2023. "Financial resilience analysis of floating production, storage and offloading plant operated in Norwegian Arctic region: Case study using inter-/transdisciplinary system dynamics modeling and simulatio," Energy, Elsevier, vol. 268(C).
    10. Zhiang (John) Lin & Xia Zhao & Kiran M. Ismail & Kathleen M. Carley, 2006. "Organizational Design and Restructuring in Response to Crises: Lessons from Computational Modeling and Real-World Cases," Organization Science, INFORMS, vol. 17(5), pages 598-618, October.
    11. Reder, Klara & Alcamo, Joseph & Flörke, Martina, 2017. "A sensitivity and uncertainty analysis of a continental-scale water quality model of pathogen pollution in African rivers," Ecological Modelling, Elsevier, vol. 351(C), pages 129-139.
    12. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    13. Inger Lise Johansen & Marvin Rausand, 2014. "Defining complexity for risk assessment of sociotechnical systems: A conceptual framework," Journal of Risk and Reliability, , vol. 228(3), pages 272-290, June.
    14. Bui, Ha & Sakurahara, Tatsuya & Pence, Justin & Reihani, Seyed & Kee, Ernie & Mohaghegh, Zahra, 2019. "An algorithm for enhancing spatiotemporal resolution of probabilistic risk assessment to address emergent safety concerns in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 405-428.
    15. Deman, G. & Kerrou, J. & Benabderrahmane, H. & Perrochet, P., 2015. "Sensitivity analysis of groundwater lifetime expectancy to hydro-dispersive parameters: The case of ANDRA Meuse/Haute-Marne site," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 276-286.
    16. Soha Saad & Florence Ossart & Jean Bigeon & Etienne Sourdille & Harold Gance, 2021. "Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study," Energies, MDPI, vol. 14(19), pages 1-29, October.
    17. repec:hal:wpspec:info:hdl:2441/6782 is not listed on IDEAS
    18. Narkuniene, Asta & Poskas, Povilas & Kilda, Raimondas & Bartkus, Gytis, 2015. "Uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of deep geological repository: Case of RBMK-1500 SNF," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 8-16.
    19. Ahmadi, Mehdi & Ascough, James C. & DeJonge, Kendall C. & Arabi, Mazdak, 2014. "Multisite-multivariable sensitivity analysis of distributed watershed models: Enhancing the perceptions from computationally frugal methods," Ecological Modelling, Elsevier, vol. 279(C), pages 54-67.
    20. Kenneth Pettersen Gould, 2021. "Organizational Risk: “Muddling Through” 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 456-465, March.
    21. Chao Shi & Kenneth C. Land, 2021. "The Data Envelopment Analysis and Equal Weights/Minimax Methods of Composite Social Indicator Construction: a Methodological Study of Data Sensitivity and Robustness," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1689-1716, August.

    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:96:y:2011:i:5:p:515-533. 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.