IDEAS home Printed from https://ideas.repec.org/a/igg/jeco00/v15y2017i4p1-10.html
   My bibliography  Save this article

A Study of e-Commerce Transaction Risk Assessment Model in Mobile Internet

Author

Listed:
  • Zhihong Huang

    (Shanxi Institute of Technology, Shanxi, China)

Abstract

With the continuous development of information technology, mobile e-commerce as a new economic and industrial mode has brought great benefits to the society. Mobile e-commerce does not need to bear the constraints of time and place, which has brought great benefits to the enterprise, from the point of trading, mobile e-commerce relies on convenient mobile terminal devices to provide convenience and unlimited trading environment for the user. However, there is a certain risk, mobile e-commerce is different from traditional e-commerce. It may bring many new problems and risks, and may lead to serious economic loss. So how to make reasonable assessment of mobile e-commerce transaction risk and then select strategy to minimize the risk is very important for the development of mobile e-commerce. In this paper, the risk of mobile e-commerce transactions is analyzed firstly, and then it uses a reasonable evaluation system to build a mobile e-commerce transactions risk assessment model. Finally, with the fact, it shows that the model has good feasibility and practical application value.

Suggested Citation

  • Zhihong Huang, 2017. "A Study of e-Commerce Transaction Risk Assessment Model in Mobile Internet," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 15(4), pages 1-10, October.
    • Handle: RePEc:igg:jeco00:v:15:y:2017:i:4:p:1-10
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JECO.2017100101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Zhuang Weiqing & Nakamoto Ichiro & Jiang Ming & Wang Morgan C., 2021. "Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 16-44, February.

    More about this item

    Statistics

    Access and download statistics

    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:igg:jeco00:v:15:y:2017:i:4:p:1-10. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.