IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v7y2006i1p19-35.html
   My bibliography  Save this article

The synergy of social network analysis and knowledge mapping: a case study

Author

Listed:
  • Kelvin Chan
  • Jay Liebowitz

Abstract

Formal structures underpinning organisational charts may not really reflect the actual knowledge flows. It is the informal networks that have played a critical role in getting important work done in organisations. In order to better understand the knowledge flow through these informal networks, knowledge maps can be developed to illustrate the actual knowledge flows. Social network analysis is a technique that can be applied in building knowledge maps and can help analyse the strengths and weaknesses of the networks effectively. This paper provides a case study to illustrate the application of social network analysis to develop knowledge maps for a leading organisation. Borrowing and adapting techniques from other disciplines, such as social network analysis, needs to be done to push the new frontiers of knowledge management.

Suggested Citation

  • Kelvin Chan & Jay Liebowitz, 2006. "The synergy of social network analysis and knowledge mapping: a case study," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 7(1), pages 19-35.
  • Handle: RePEc:ids:ijmdma:v:7:y:2006:i:1:p:19-35
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=8169
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Ishani Mukherjee, 2022. "Fueling green connections: Networked policy instrument choices for sustainability regulation," Review of Policy Research, Policy Studies Organization, vol. 39(5), pages 602-631, September.
    2. Charlie C. CHEN & Ruey-Shiang SHAW & Michael B. KNIGHT, 2010. "The Efficacy Of Knowledge Map In Object-Oriented Software Training: Ado.Net Components," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 2(2), pages 132-153, June.
    3. Silke Retzer & Pak Yoong & Val Hooper, 2012. "Inter-organisational knowledge transfer in social networks: A definition of intermediate ties," Information Systems Frontiers, Springer, vol. 14(2), pages 343-361, April.
    4. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2017. "False Beliefs in Unreliable Knowledge Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 275-295.
    5. Richard K. Ladyshewsky & Werner Soontiens, 2013. "Managing the Online Learning Revolution in an MBA course: Quality Assurance through Strategic Development," Working Papers 2013/26, Maastricht School of Management.
    6. Haraldsdottir, Ragna Kemp & Gunnlaugsdottir, Johanna & Hvannberg, Ebba Thora & Holdt Christensen, Peter, 2018. "Registration, access and use of personal knowledge in organizations," International Journal of Information Management, Elsevier, vol. 40(C), pages 8-16.
    7. Díez-Vial, Isabel & Montoro-Sánchez, Ángeles, 2016. "How knowledge links with universities may foster innovation: The case of a science park," Technovation, Elsevier, vol. 50, pages 41-52.
    8. Oren Perez & Reuven Cohen & Nir Schreiber, 2019. "Governance through global networks and corporate signaling," Regulation & Governance, John Wiley & Sons, vol. 13(4), pages 447-469, December.
    9. Balaid, Ali & Abd Rozan, Mohd Zaidi & Hikmi, Syed Norris & Memon, Jamshed, 2016. "Knowledge maps: A systematic literature review and directions for future research," International Journal of Information Management, Elsevier, vol. 36(3), pages 451-475.
    10. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2018. "Experts in Knowledge Networks: Central Positioning and Intelligent Selections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 890-905.
    11. Janine Hacker & Kai Riemer, 2021. "Identification of User Roles in Enterprise Social Networks: Method Development and Application," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 367-387, August.
    12. Somajita Paul & Ferenc Jordán & Harini Nagendra, 2017. "Communication Networks and Performance of Four New Delhi City Parks," Sustainability, MDPI, vol. 9(9), pages 1-16, August.

    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:ids:ijmdma:v:7:y:2006:i:1:p:19-35. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=19 .

    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.