IDEAS home Printed from https://ideas.repec.org/a/taf/tkmrxx/v7y2009i4p317-328.html
   My bibliography  Save this article

A social network scorecard to monitor knowledge flows across communication media

Author

Listed:
  • Francesca Grippa

Abstract

This paper describes the application of a scorecard, based on social network analysis, to monitor the evolution of knowledge flows. This scorecard helps organizations to identify new ways to optimize knowledge flows by combining communication media that match their working environments. Three case studies were conducted: one within an Italian Research Centre, and two within U.S.-based Research and Education Centres. The interactions of members of these business communities were observed by monitoring multiple communication media over time. This is a departure from the common practice of using only e-mail communications to describe social networks. The goal of this paper is to answer the following question: does e-mail alone represent an accurate approximation of the social network? The results suggest that a better approximation can be found by monitoring multiple media: e-mail, chat, telephone, social networking websites, and face-to-face interactions.

Suggested Citation

  • Francesca Grippa, 2009. "A social network scorecard to monitor knowledge flows across communication media," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 7(4), pages 317-328, December.
    • Handle: RePEc:taf:tkmrxx:v:7:y:2009:i:4:p:317-328
    DOI: 10.1057/kmrp.2009.24
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/kmrp.2009.24
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/kmrp.2009.24?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:7:y:2009:i:4:p:317-328. 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.