IDEAS home Printed from https://ideas.repec.org/a/taf/tkmrxx/v20y2022i1p1-13.html
   My bibliography  Save this article

Enterprise systems, emerging technologies, and the data-driven knowledge organisation

Author

Listed:
  • William Yu Chung Wang
  • David Pauleen
  • Nazim Taskin

Abstract

Enterprise Systems have become a critical feature of organisations not only for their integrative functions but also because they have become collectors and repositories of organisational data. In the past, this data was subject to relatively simplistic analysis, which could provide important but still basic information for management decision-making. With the emergence of new technologies, both data collection and analysis have become increasingly sophisticated and varied. This has led to significant improvements in the quality and timeliness of the information that can be used by management in decision-making and strategic planning. Even how managers use this information is being shaped by technologies that can augment human knowledge to further improve decision-making. With reviewing the literature, this editorial paper explains the scope of emerging technology, enterprise systems and the impacts on knowledge management and briefly introduces the articles included in this issue.

Suggested Citation

  • William Yu Chung Wang & David Pauleen & Nazim Taskin, 2022. "Enterprise systems, emerging technologies, and the data-driven knowledge organisation," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 20(1), pages 1-13, January.
  • Handle: RePEc:taf:tkmrxx:v:20:y:2022:i:1:p:1-13
    DOI: 10.1080/14778238.2022.2039571
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14778238.2022.2039571
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14778238.2022.2039571?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:20:y:2022:i:1:p:1-13. 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.