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Promoting Disaster Resilience: Operation Mechanisms and Self-Organizing Processes of Crowdsourcing

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  • Zhijun Song

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China)

  • Hui Zhang

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China
    Institute for Risk & Disaster Reduction, University College London, London WC1E 6BT, UK)

  • Chris Dolan

    (Institute of Advanced Studies, University College London, London WC1E 6BT, UK)

Abstract

It is often difficult to realize effective governance and management within the inherent complexity and uncertainty of disasters. The application of crowdsourcing, through encouraging voluntary support from the general public, advances efficient disaster governance. Twelve international case studies of crowdsourcing and natural disaster governance were collected for in-depth analysis. Influenced by Complex Adaptive System theory, we explored the self-organizing operation mechanisms and self-organization processes of crowdsourcing within disaster governance. The self-organizing operation mechanisms of crowdsourcing are influenced by the multi-directional interaction between the crowdsourcing platform, the initiator (who commences the crowdsourcing process) and the contractor (who undertakes disaster reduction tasks). The benefits of crowdsourcing for governance structure and self-organization processes in natural disaster governance are reflected in three perspectives: strengthening communication and coordination, optimizing emergency decision-making, and improving the ability to learn and adapt. This paper discusses how crowdsourcing can promote disaster resilience from the perspective of the complex adaptive system to enrich the theoretical research on crowdsourcing and disaster resilience.

Suggested Citation

  • Zhijun Song & Hui Zhang & Chris Dolan, 2020. "Promoting Disaster Resilience: Operation Mechanisms and Self-Organizing Processes of Crowdsourcing," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1862-:d:326980
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    References listed on IDEAS

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    3. Regina Lenart-Gansiniec & Łukasz Sułkowski, 2018. "Crowdsourcing—A New Paradigm of Organizational Learning of Public Organizations," Sustainability, MDPI, vol. 10(10), pages 1-14, September.
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    Cited by:

    1. Mikhail Chester & Mounir El Asmar & Samantha Hayes & Cheryl Desha, 2021. "Post-Disaster Infrastructure Delivery for Resilience," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    2. Meysam Amirsadat & Kooresh Omidipoor & Amir Bastaminia & Mohammad Mehdi Meshkinghalam, 2024. "Identifying and evaluating the dimensions and components affecting the resilience of flood-stricken communities: Konarak city," 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. 120(12), pages 10607-10634, September.
    3. 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.
    4. 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.
    5. Jakob Pohlisch, 2020. "Internal Open Innovation—Lessons Learned from Internal Crowdsourcing at SAP," Sustainability, MDPI, vol. 12(10), pages 1-22, May.

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