IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p3949-d1390716.html
   My bibliography  Save this article

Tight or Loose: Analysis of the Organization Cognition Process of Epidemic Risk and Policy Selection

Author

Listed:
  • Chao Fan

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Yue Zhuang

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Yangyang Qian

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

Abstract

In the context of Disease X risks, how governments and public health authorities make policy choices in response to potential epidemics has become a topic of increasing concern. The tightness of epidemic prevention policies is related to the effectiveness of the implementation of measures, while the organizational cognition of epidemic risks is related to the rationality of policy choices. During the three years of COVID-19, the Chinese government constantly adjusted the tightness of its prevention policies as awareness of the epidemic risk improved. Therefore, based on the epidemic risk organizational cognition model, the key nodes that affect the tightness of epidemic prevention policies can be explored to find the organizational behavior rules behind the selection of prevention policies. Firstly, through observing the adjustments made to the Chinese government’s prevention strategies during the epidemic, a time-series cross-case comparative analysis reveals how policy tightness shifted from stringent to lenient. This shift coincided with the organizational cognition of epidemic risk evolving from vague to clear. Secondly, by building the “knowledge-cognition” coordinate system to draw the organizational cognition spiral of epidemic risk, it is clear that the changes in the tightness of the prevention policies mainly came from the internalization and externalization of knowledge such as epidemic risk characteristics to promote the level of organizational cognition, which is manifested as expansion and deepening. Thirdly, the node changes in the interaction between organizational cognition development and policy choice proved that different stages of the epidemic had diverse environmental parameters. Moreover, as the epidemic nears its end, the focus of policy tightness is shifting from policy objectives to policy implementation around governance tools. The results indicate that organizational cognition of epidemic risk exhibits significant stages and periodicity. Additionally, epidemic risk characteristics, environmental coupling, and governance tools are crucial factors in determining the tightness of epidemic prevention policies.

Suggested Citation

  • Chao Fan & Yue Zhuang & Yangyang Qian, 2024. "Tight or Loose: Analysis of the Organization Cognition Process of Epidemic Risk and Policy Selection," Sustainability, MDPI, vol. 16(10), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3949-:d:1390716
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/3949/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/3949/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baumann, Christiane & White, Stuart, 2012. "Making better choices: a systematic comparison of adversarial and collaborative approaches to the transport policy process," Transport Policy, Elsevier, vol. 24(C), pages 83-90.
    2. Shuo Yang & Lanxia Zhang & Lele Wang, 2023. "Key Factors of Sustainable Development of Organization: Bibliometric Analysis of Organizational Citizenship Behavior," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    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. Novak, David C. & Koliba, Chris & Zia, Asim & Tucker, Matt, 2015. "Evaluating the outcomes associated with an innovative change in a state-level transportation project prioritization process: A case study of Vermont," Transport Policy, Elsevier, vol. 42(C), pages 130-143.
    2. de Luca, Stefano, 2014. "Public engagement in strategic transportation planning: An analytic hierarchy process based approach," Transport Policy, Elsevier, vol. 33(C), pages 110-124.
    3. Bezerra, Barbara Stolte & dos Santos, Ana Laura Lordelo & Delmonico, Diego V.G., 2020. "Unfolding barriers for urban mobility plan in small and medium municipalities – A case study in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 808-822.
    4. Kehlbacher, Ariane & Stark, Kerstin & Gebhardt, Laura & Jarass, Julia & Schuppan, Julia, 2023. "Comparing municipal progress in implementing temporary cycle lanes during the Covid-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).

    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:gam:jsusta:v:16:y:2024:i:10:p:3949-:d:1390716. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.