IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-036-7_104.html

Environmental Analysis of E-Commerce Platforms Based on PEST Model

In: Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

Author

Listed:
  • Weiheng Guan

    (University of California, Department of Economics)

Abstract

With rapid technological advances and economic development, more and more consumers in China participate in online shopping, which has become a habit in people’s lives. Among all the marketing strategies that various online shopping platforms have adopted, the ultimate Double 11 shopping festival on November 11 has attracted significant attention from the public and bled people dry, even with the variety of influences of COVID-19. This article aims to analyze the phenomenon of the Double 11 Shopping Festival, which is the epitome of the general online shopping environment in China, using PEST analysis. From its political, economic, socio-cultural, and technological, this article discusses the rationales behind the continued success of the e-commerce industry in China. Based on the PEST analysis paradigm, this article tries to interpret both the internal and the external factors that contributed to a boost in online shopping. With the support of the government, along with the changes in demand, e-commerce platforms managed to attract more and more consumers with their developed and adapted new technological improvements to adopt the new consumer lifestyles and preferences.

Suggested Citation

  • Weiheng Guan, 2022. "Environmental Analysis of E-Commerce Platforms Based on PEST Model," Advances in Economics, Business and Management Research, in: Yushi Jiang & Yuriy Shvets & Hrushikesh Mallick (ed.), Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), pages 707-715, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-036-7_104
    DOI: 10.2991/978-94-6463-036-7_104
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-036-7_104. 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.