IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-38442-4_101.html
   My bibliography  Save this book chapter

Research on Indicator System of Risk Early-Warning in ITO

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhuo Shi

    (TianJin Foreign Studies University)

  • Yu-jie Huang

    (TianJin Foreign Studies University)

  • Xiao-lan Cui

    (TianJin Foreign Studies University)

Abstract

Information technology outsourcing has been appearing an increasing trend in recent years, and it has become the focus in the field of information systems. However, the existence of various uncertainties makes ITO involve potential risks. In this paper, the authors analyze ITO risks and establish indicators system for risk early warning from 18 aspects. Then by applying method of Fussy Comprehensive Evaluation to a case of ITO enterprise, the authors demonstrate the feasibility of this indicator system in warning risk of ITO. The result shows that the early warning indicator system constructed in this paper can effectively forecast the ITO risks.

Suggested Citation

  • Zhuo Shi & Yu-jie Huang & Xiao-lan Cui, 2013. "Research on Indicator System of Risk Early-Warning in ITO," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 959-967, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38442-4_101
    DOI: 10.1007/978-3-642-38442-4_101
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-642-38442-4_101. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.