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Analysis and Implications of the Management of Near-Miss Events: A Game Theoretic Approach

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  • Westreich, Sara
  • Perlman, Yael
  • Winkler, Michael

Abstract

Near-miss safety events—unplanned incidents that reveal the potential for future adverse events—have an important yet complex role in workplace safety: If reported and handled correctly, they can contribute to the improvement of safety procedures, yet if they are mishandled, the likelihood of subsequent adverse events might increase. This research formulates and analyses game theoretic models that can serve as an applicable tool for guiding managerial strategies with regard to the handling of near-miss events. In these models, the manager decides how much to invest in incentivizing employees to report near-miss events, with the aim of achieving various objectives (e.g., minimizing costs or maintaining/reducing the likelihood of future adverse events). These models incorporate realistic features of employee behaviour (e.g., inherent motivation to report or aversion to reporting) and address a large spectrum of situations encountered in practice. We develop a single-event model as well as a multi-event model; the latter is a repeated game that captures the common scenario in which adverse events are preceded by multiple precursors. Different strategies are considered using simulations of random events. We derive practical guidelines that can enable managers to decrease the likelihood of adverse events over time—though periodic fluctuations are inevitable.

Suggested Citation

  • Westreich, Sara & Perlman, Yael & Winkler, Michael, 2021. "Analysis and Implications of the Management of Near-Miss Events: A Game Theoretic Approach," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
  • Handle: RePEc:eee:reensy:v:212:y:2021:i:c:s0951832021001861
    DOI: 10.1016/j.ress.2021.107645
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    References listed on IDEAS

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    1. Saleh, Joseph H. & Saltmarsh, Elizabeth A. & Favarò, Francesca M. & Brevault, Loïc, 2013. "Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 148-154.
    2. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    3. Junko Shimazoe & Richard M. Burton, 2013. "Justification shift and uncertainty: why are low-probability near misses underrated against organizational routines?," Computational and Mathematical Organization Theory, Springer, vol. 19(1), pages 78-100, March.
    4. das Chagas Moura, Márcio & Azevedo, Rafael Valença & Droguett, Enrique López & Chaves, Leandro Rego & Lins, Isis Didier & Vilela, Romulo Fernando & Filho, Romero Sales, 2016. "Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 136-146.
    5. Andriulo, S. & Gnoni, M.G., 2014. "Measuring the effectiveness of a near-miss management system: An application in an automotive firm supplier," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 154-162.
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    1. Gorji, Mohammad-Ali & Shetab-Boushehri, Seyyed-Nader & Akbarzadeh, Meisam, 2022. "Developing public transportation resilience against the epidemic through government tax policies: A game-theoretic approach," Transport Policy, Elsevier, vol. 128(C), pages 229-239.
    2. Karolien van Nunen & Genserik Reniers & Koen Ponnet, 2022. "Measuring Safety Culture Using an Integrative Approach: The Development of a Comprehensive Conceptual Framework and an Applied Safety Culture Assessment Instrument," IJERPH, MDPI, vol. 19(20), pages 1-39, October.

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