• DocumentCode
    3314461
  • Title

    The analysis on credit hypes in C-C e-commerce market in China

  • Author

    Peng, Hui ; Feng, Xiao-Bin

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    314
  • Lastpage
    318
  • Abstract
    The rapid growth of C-C e-commerce in China attracts more and more people entering the market. In order to achieve a desired credit level and create enough transactions in a short time, many sellers choose to manipulate their reputation. This paper analyses the three methods of credit hypes exist in China: low value transaction, colluding transaction, manipulating in agreement with professional manipulator. Through establishing the model of seller´s expected earning with hype probability under the current credit rating mechanism, it concluded that the sellers with low credit levels are more likely to manipulate its credit level through entering an agreement with professional manipulator and goods with low-value are the best choice of the manipulator and the seller to forge C-C transaction. So this paper proposes that newcomers and sellers with low credit level shall be the focus of supervision on credit hypes, and repeated transaction with low-valued goods is the key indicator for judging the credit hypes.
  • Keywords
    credit transactions; electronic commerce; probability; C-C transaction; Chinese C-C e-commerce; credit hype analysis; credit manipulation; credit rating mechanism; hype probability; seller expected earning model; Costs; Educational institutions; Electronic commerce; Feedback; Filters; IEEE online publications; Marketing and sales; Motion pictures; C-C e-commerce; cerdit hypes; credit manipulating; credit rating; credit supervision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234691
  • Filename
    5234691