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Learning before the storm: Modeling multiple stakeholder activities in support of crisis management, a practical case

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  • Hernantes, Josune
  • Rich, Eliot
  • Laugé, Ana
  • Labaka, Leire
  • Sarriegi, Jose M.

Abstract

The severe consequences of a Critical Infrastructure (CI) crisis demand continued research directed toward proactive and reactive management strategies. Despite the best efforts of governments and communities, the diversity of stakeholders, conflicting demands for resources, and a lack of trust among organizations create complexities that limit the effectiveness of the response. This paper identifies four specific problems that appear to reoccur when CIs are challenged: heterogeneity, multiple and inconsistent boundaries, resilience building and knowledge transfer and sharing. A combination of collaborative modeling and software simulation methodologies is proposed in order to identify the interrelationships among diverse stakeholders when managing the preparation for and reaction to a CI crisis. This approach allows experts to work together and share experiences through the modeling process which can lead them to a better understanding of how other organizations work and integrate different perspectives. In addition, simulation models enable domain experts to understand the consequences of certain policies in the short and long terms, thus improving the crisis managers' knowledge for future crisis situations. This paper presents a practical case of a hypothetical crisis in the CI sector and the approach used in order to deal with the four problems identified above.

Suggested Citation

  • Hernantes, Josune & Rich, Eliot & Laugé, Ana & Labaka, Leire & Sarriegi, Jose M., 2013. "Learning before the storm: Modeling multiple stakeholder activities in support of crisis management, a practical case," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1742-1755.
  • Handle: RePEc:eee:tefoso:v:80:y:2013:i:9:p:1742-1755
    DOI: 10.1016/j.techfore.2013.01.002
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    Citations

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    Cited by:

    1. Margherita, Alessandro & Elia, Gianluca & Klein, Mark, 2021. "Managing the COVID-19 emergency: A coordination framework to enhance response practices and actions," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Beers, Pieter J. & Turner, James A. & Rijswijk, Kelly & Williams, Tracy & Barnard, Tim & Beechener, Sam, 2019. "Learning or evaluating? Towards a negotiation-of-meaning approach to learning in transition governance," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 229-239.
    3. Ehab Shahat & Chang T. Hyun & Chunho Yeom, 2020. "Conceptualizing Smart Disaster Governance: An Integrative Conceptual Framework," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    4. Ricciardi, Francesca & De Bernardi, Paola & Cantino, Valter, 2020. "System dynamics modeling as a circular process: The smart commons approach to impact management," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Carlisle, Sheena & Johansen, Aleksander & Kunc, Martin, 2016. "Strategic foresight for (coastal) urban tourism market complexity: The case of Bournemouth," Tourism Management, Elsevier, vol. 54(C), pages 81-95.
    6. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2016. "A holistic framework for building critical infrastructure resilience," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 21-33.

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