• DocumentCode
    533072
  • Title

    Notice of Retraction
    An evaluation of knowledge transfer risk factors in IT outsourcing service based on rough set

  • Author

    Lu Xinyuan ; Wang Yanmei ; Wang Weijun ; Zhang Jinlong

  • Author_Institution
    Dept. of Inf. Manage., Huazhong Normal Univ., Wuhan, China
  • Volume
    13
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Knowledge transfer become the main the risk in IT outsourcing service, and many tools and methods are available to support the various phases of the risk management. The evaluation method of risk factors is an important process in risk management. This present the concept of the combinatorial weight of risk factors, and also to propose an algorithm to tackle evaluation of risk factors by rough sets theory. Moreover, an example is given to demonstrate the method, and find out the correlation coefficients among the risk factors, therefore, it can explain how much the effect of each factor on the success or fail of IT outsourcing and knowledge transfer.
  • Keywords
    information management; outsourcing; risk management; rough set theory; technology transfer; IT outsourcing service; combinatorial weight; correlation coefficient; knowledge transfer risk factor; risk management; rough set theory; Artificial neural networks; Outsourcing; Combinatorial weight; Evaluation of risk; IT outsourcing; Knowledge Transfer; Rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622767
  • Filename
    5622767