IDEAS home Printed from https://ideas.repec.org/a/bpj/johsem/v18y2021i2p125-150n1003.html
   My bibliography  Save this article

The Use of Crisis Communication Strategies in Emergency Management

Author

Listed:
  • Haupt Brittany

    (Homeland Security & Emergency Preparedness, Virginia Commonwealth University, Richmond, USA)

Abstract

As emergency management evolved to encompass a focus on supporting safe growth and development for communities, the role and responsibilities of government became increasingly complex with aspects of emergency management becoming quintessential. Issues with communication uncovered the need to understand how managers collect, disseminate, and adapt critical information through understanding crisis type and local community needs. This paper examines the use of crisis communication strategies in emergency management practice and how these strategies have been impacted by Situational Crisis Communication Theory. This theory’s prescriptive approach connects leaders’ response to strategies emphasizing adaptation to local community needs and crisis type. Utilizing structural equation modeling and qualitative analysis, results from a nationwide survey of county, and county-equivalent, emergency managers in the United States is included. The survey focused on the relationship between crisis communication strategies, local community needs, crisis type, and perceived resilience. The paper concludes with a discussion of the significant indicators impacting use of crisis communication strategies by emergency managers along with critical importance of adaptation to local community needs and crisis type. In addition, the paper unveils practical recommendations for practitioners, policymakers, and researchers in the field of emergency management and its counterparts.

Suggested Citation

  • Haupt Brittany, 2021. "The Use of Crisis Communication Strategies in Emergency Management," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 18(2), pages 125-150.
    • Handle: RePEc:bpj:johsem:v:18:y:2021:i:2:p:125-150:n:1003
    DOI: 10.1515/jhsem-2020-0039
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jhsem-2020-0039
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/jhsem-2020-0039?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. Nitesh Bharosa & JinKyu Lee & Marijn Janssen, 2010. "Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises," Information Systems Frontiers, Springer, vol. 12(1), pages 49-65, March.
    2. Gary Klein, 1999. "Sources of Power: How People Make Decisions," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262611465, December.
    Full references (including those not matched with items on IDEAS)

    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. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    2. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
    3. Nan Zhang & Heng Xu, 2024. "Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning," Information Systems Research, INFORMS, vol. 35(2), pages 469-488, June.
    4. Preece, Gary & Shaw, Duncan & Hayashi, Haruo, 2013. "Using the Viable System Model (VSM) to structure information processing complexity in disaster response," European Journal of Operational Research, Elsevier, vol. 224(1), pages 209-218.
    5. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2018. "Environnement big data et décision : l'étape de contre la montre du tour de France 2017," Post-Print halshs-02188793, HAL.
    6. David Williams, 2014. "Models, Metaphors and Symbols for Information and Knowledge Systems," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 10(1), pages 79-107.
    7. André Schultz & Alexander Libman, 2015. "Is there a local knowledge advantage in federations? Evidence from a natural experiment," Public Choice, Springer, vol. 162(1), pages 25-42, January.
    8. Kim, Jong Hyun & Seong, Poong Hyun, 2007. "The effect of information types on diagnostic strategies in the information aid," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 171-186.
    9. Sandeep Kumar Sood & Keshav Singh Rawat, 2021. "A scientometric analysis of ICT-assisted disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2863-2881, April.
    10. Mike Metcalfe, 2013. "A Pragmatic System of Decision Criteria," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(1), pages 56-64, January.
    11. Matthieu Lauras & Frédérick Benaben & Sébastien Truptil & Aurélie Charles, 2015. "Event-cloud platform to support decision-making in emergency management," Information Systems Frontiers, Springer, vol. 17(4), pages 857-869, August.
    12. Christian Wankmüller & Gerald Reiner, 2021. "Identifying Challenges and Improvement Approaches for More Efficient Procurement Coordination in Relief Supply Chains," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    13. Betsch, Tilmann & Haberstroh, Susanne & Molter, Beate & Glockner, Andreas, 2004. "Oops, I did it again--relapse errors in routinized decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 93(1), pages 62-74, January.
    14. Lorko, Matej & Servátka, Maroš & Zhang, Le, 2019. "How to Improve the Accuracy of Project Schedules? The Effect of Project Specification and Historical Information on Duration Estimates," MPRA Paper 95585, University Library of Munich, Germany.
    15. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2017. "Les enjeux des environnements big data pour la Police Nationale," Post-Print halshs-02188803, HAL.
    16. Katarzyna Sienkiewicz-Małyjurek & Tomasz Owczarek, 2020. "Complementarity of Communication and Coordination in Ensuring Effectiveness of Emergency Management Networks," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    17. Martijn Warnier & Vincent Alkema & Tina Comes & Bartel Walle, 2020. "Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 815-834, September.
    18. Barry A. Cumbie & Chetan S. Sankar, 2012. "Choice of governance mechanisms to promote information sharing via boundary objects in the disaster recovery process," Information Systems Frontiers, Springer, vol. 14(5), pages 1079-1094, December.
    19. Minsun Song, 2018. "Does having a strong commitment matter in building sustainable networks?," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 551-564, March.
    20. Jan Hayes & Sarah Maslen, 2015. "Knowing stories that matter: learning for effective safety decision-making," Journal of Risk Research, Taylor & Francis Journals, vol. 18(6), pages 714-726, June.

    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:bpj:johsem:v:18:y:2021:i:2:p:125-150:n:1003. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.