IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v05y2006i01ns021964920600127x.html
   My bibliography  Save this article

Knowledge-Based Customisation and Management of E-Survey

Author

Listed:
  • C. F. Cheung

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • K. F. Chu

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

Abstract

Many organisations have their own methods for survey activities. It is difficult to design questionnaires, which is considered to be a time-consuming processes for conducting a survey. Due to ineffective sharing and the retention of knowledge, organisations spend much time and effort to study past cases and previous know-how for conducting the survey. As a result, this paper presents a knowledge-based system approach for the customisation and the management of E-survey activities. A prototype knowledge-based survey system is built and the capability of the system is demonstrated through a successful trial implementation in a manufacturing enterprise.

Suggested Citation

  • C. F. Cheung & K. F. Chu, 2006. "Knowledge-Based Customisation and Management of E-Survey," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 81-96.
    • Handle: RePEc:wsi:jikmxx:v:05:y:2006:i:01:n:s021964920600127x
    DOI: 10.1142/S021964920600127X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S021964920600127X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S021964920600127X?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.

    References listed on IDEAS

    as
    1. Hild, Matthias, 2003. "Rethinking the Foundations of Statistics, JOSEPH B. KADANE, MARK J. SCHERVISH and TEDDY SEIDENFELD. Cambridge University Press, 1999, x + 388 pages," Economics and Philosophy, Cambridge University Press, vol. 19(1), pages 149-155, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:wsi:jikmxx:v:05:y:2006:i:01:n:s021964920600127x. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

      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.