IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v13y2020i2p22-d315703.html
   My bibliography  Save this article

Risk Management Analysis for Novel Coronavirus in Wuhan, China

Author

Listed:
  • Xiao-Guang Yue

    (Department of Computer Science and Engineering, School of Sciences, European University Cyprus, Nicosia 1516, Cyprus
    Center for Research and Innovation in Business Sciences and Information Systems, Polytechnic Institute of Porto, 4610-156 Felgueiras, Portugal
    Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Nakhon Pathom 73170, Thailand)

  • Xue-Feng Shao

    (Discipline of International Business, University of Sydney, Sydney, NSW 2006, Australia)

  • Rita Yi Man Li

    (HKSYU Real Estate and Economics Research Lab, Hong Kong Shue Yan University, Hong Kong 999077, China)

  • M. James C. Crabbe

    (Wolfson College, Oxford University, Oxford OX2 6UD, UK
    Institute of Biomedical and Environmental Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK
    School of Life Science, Shanxi University, Taiyuan 030006, China)

  • Lili Mi

    (Department of Business Strategy and Innovation, Griffith Business School, Griffith University, Brisbane, QLD 4111, Australia)

  • Siyan Hu

    (International Engineering and Technology Institute, Hong Kong 999077, China)

  • Julien S. Baker

    (Centre for Health and Exercise Science Research, Department of Sport, and Physical Education, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China)

  • Gang Liang

    (Faculty of Education, University of British Columbia, Vancouver, BC V6T1Z4, Canada)

Abstract

Recently, a novel coronavirus pneumonia (2019–nCoV) outbreak occurred in Wuhan, China, rapidly spreading first to the whole country, and then globally, causing widespread concern. From the perspectives of early warning and identification of risk, risk monitoring, and analysis, as well as risk management and handling, we propose corresponding solutions and recommendations, which include institutional cooperation, and to inform national and international policy-makers.

Suggested Citation

  • Xiao-Guang Yue & Xue-Feng Shao & Rita Yi Man Li & M. James C. Crabbe & Lili Mi & Siyan Hu & Julien S. Baker & Gang Liang, 2020. "Risk Management Analysis for Novel Coronavirus in Wuhan, China," JRFM, MDPI, vol. 13(2), pages 1-6, February.
  • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:2:p:22-:d:315703
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/13/2/22/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/13/2/22/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ubaldo Comite & Kechen Dong & Rita Yi Man Li & M. James C. Crabbe & Xue-Feng Shao & Xiao-Guang Yue, 2020. "An Economic–Business Approach to Clinical Risk Management," JRFM, MDPI, vol. 13(6), pages 1-12, June.
    2. Wei Zhang & Dongxiao Gu & Yuguang Xie & Aida Khakimova & Oleg Zolotarev, 2023. "How Do COVID-19 Risk, Life-Safety Risk, Job Insecurity, and Work–Family Conflict Affect Miner Performance? Health-Anxiety and Job-Anxiety Perspectives," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    3. Fatemeh Mohammad Ebrahimzadeh Sepasgozar & Usef Ramzani & Sabbar Ebrahimzadeh & Sharifeh Sargolzae & Samad Sepasgozar, 2020. "Technology Acceptance in e-Governance: A Case of a Finance Organization," JRFM, MDPI, vol. 13(7), pages 1-17, June.
    4. Ping Qiao & Xiaoman Zhu & Yangzhi Guo & Ying Sun & Chuan Qin, 2021. "The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology," JRFM, MDPI, vol. 14(4), pages 1-17, April.
    5. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    6. Jingxuan Liu & Ping Qiao & Jian Ding & Luke Hankinson & Elodie H. Harriman & Edward M. Schiller & Ieva Ramanauskaite & Haowei Zhang, 2020. "Will the Aviation Industry Have a Bright Future after the COVID-19 Outbreak? Evidence from Chinese Airport Shipping Sector," JRFM, MDPI, vol. 13(11), pages 1-14, November.
    7. Xue-Feng Shao & Kostas Gouliamos & Ben Nan-Feng Luo & Shigeyuki Hamori & Stephen Satchell & Xiao-Guang Yue & Jane Qiu, 2020. "Diversification and Desynchronicity: An Organizational Portfolio Perspective on Corporate Risk Reduction," Risks, MDPI, vol. 8(2), pages 1-16, May.
    8. Xiao-Guang Yue & Xue-Feng Shao & Rita Yi Man Li & M. James C. Crabbe & Lili Mi & Siyan Hu & Julien S Baker & Liting Liu & Kechen Dong, 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy," JRFM, MDPI, vol. 13(4), pages 1-26, April.
    9. Shilu Sun & Tiantian Li & Hong Ma & Rita Yi Man Li & Kostas Gouliamos & Jianming Zheng & Yan Han & Otilia Manta & Ubaldo Comite & Teresa Barros & Nelson Duarte & Xiao-Guang Yue, 2020. "Does Employee Quality Affect Corporate Social Responsibility? Evidence from China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    10. Saida Affouneh & Zuheir N. Khlaif & Daniel Burgos & Soheil Salha, 2021. "Virtualization of Higher Education during COVID-19: A Successful Case Study in Palestine," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    11. Wunong Zhang & Yuxin Wang & Lili Yang & Chuanyi Wang, 2020. "Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak," JRFM, MDPI, vol. 13(3), pages 1-6, March.
    12. Judita Peterlin & Maja Meško & Vlado Dimovski & Vasja Roblek, 2021. "Automated content analysis: The review of the big data systemic discourse in tourism and hospitality," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 377-385, May.
    13. Sergej Gričar & Štefan Bojnec, 2022. "Did Human Microbes Affect Tourist Arrivals before the COVID-19 Shock? Pre-Effect Forecasting Model for Slovenia," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    14. Yifan Zhong & Yameng Li & Jian Ding & Yiyi Liao, 2021. "Risk Management: Exploring Emerging Human Resource Issues during the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-23, May.
    15. Wei Liu & Xiao-Guang Yue & Paul B. Tchounwou, 2020. "Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries," IJERPH, MDPI, vol. 17(7), pages 1-6, March.
    16. Chuanyi Wang & Zhe Cheng & Xiao-Guang Yue & Michael McAleer, 2020. "Risk Management of COVID-19 by Universities in China," JRFM, MDPI, vol. 13(2), pages 1-6, February.

    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:jjrfmx:v:13:y:2020:i:2:p:22-:d:315703. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.