IDEAS home Printed from https://ideas.repec.org/a/taf/tkmrxx/v19y2021i4p468-474.html
   My bibliography  Save this article

Knowledge management based on information technology in response to COVID-19 crisis

Author

Listed:
  • Wei-Tsong Wang
  • Su-Ying Wu

Abstract

COVID-19’s rapid spread has caused a global pandemic. Consequently, it is imperative that healthcare organisations conduct crisis management (CM) to cope with this calamity. This study presents a set of operational guidelines for healthcare organisations to launch effective countermeasures against such crises by means of effective knowledge management (KM) practices. Additionally, information-technology (IT) applications can significantly improve organisations’ CM and KM capabilities by enhancing organisational responsiveness and flexibility. This study thus aims to articulate how the use of innovative IT-enabled mechanisms (e.g., non-contact monitoring devices, intelligent robots, and telemedicine) can reduce the risk of exposure and leverage an artificial intelligence-based epidemic intelligence dashboard to support appropriate decision-making by taking the operation of healthcare organisations in Taiwan during COVID-19 crisis as an example. The research results demonstrate the effectiveness of the employment of IT-enabled KM practices in CM settings in terms of preventing or minimising undesirable crisis consequences.

Suggested Citation

  • Wei-Tsong Wang & Su-Ying Wu, 2021. "Knowledge management based on information technology in response to COVID-19 crisis," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 19(4), pages 468-474, October.
  • Handle: RePEc:taf:tkmrxx:v:19:y:2021:i:4:p:468-474
    DOI: 10.1080/14778238.2020.1860665
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14778238.2020.1860665
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14778238.2020.1860665?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tkmrxx:v:19:y:2021:i:4:p:468-474. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tkmr .

    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.