IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/ns943.html
   My bibliography  Save this paper

Progress, Trends And Updates Of Knowledge Management Research In The Context Of Digital Transformations: A Bibliometric Analysis

Author

Listed:
  • Hua, Tan Kian
  • Nabeel, Rao

Abstract

The intensified global Knowledge Economy is frequently reshaped under the dynamics of continuous disruptive technological advancements. Robotic process automation, artificial intelligence, machine learning, the internet of things, and big data analytics are only some of the hot topics on the agendas of organizational decision-makers in strategic development. The quest for knowledge management can no longer be separated from continuous tech transformations and innovations: knowledge mining, application, dissemination, and protection activities have grown connected to digital technologies. The present study offers a detailed insight into the knowledge management literature focused on digital transformations. As such, the relevant timeframe for the analysis starts from 2006 to 2022, as indicated by our findings. Working within a sample of 159 documents, the authors enable VOSviewer software 1.6.17 and R coding language features to identify the main research trends and updates for the selected topic. The endeavors cover countries' contribution analysis, review of academic interest evolution across short to medium timeframes (overlay analysis), as well as identification of potential future research directions which would enrich academic knowledge of the selected segment of research. The main contribution of the present bibliometric analysis research is the visual mapping of knowledge management literature in the context of the digital transformation.

Suggested Citation

  • Hua, Tan Kian & Nabeel, Rao, 2022. "Progress, Trends And Updates Of Knowledge Management Research In The Context Of Digital Transformations: A Bibliometric Analysis," OSF Preprints ns943, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:ns943
    DOI: 10.31219/osf.io/ns943
    as

    Download full text from publisher

    File URL: https://osf.io/download/639961e258abfd0a3272f829/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/ns943?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
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:osfxxx:ns943. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.