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

Author

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  • 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
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    References listed on IDEAS

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    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)

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    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.

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