IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/9772416.html
   My bibliography  Save this article

The Impact of Artificial Intelligence and Digital Economy Consumer Online Shopping Behavior on Market Changes

Author

Listed:
  • Ying Xiong
  • Lele Qin

Abstract

The rapid development of online technology has facilitated the gradual growth and development of e-commerce and online marketing, creating a new business model and new opportunities. This has had a major impact on the future development of the market economy and the international competitiveness of companies and countries. At the same time, its appearance has also subverted the traditional retail market, and the convenience, reliability, and security of payment have been quickly recognized by people. Technological innovations represented by artificial intelligence have driven the development of the digital economy for decades. In order to better strengthen the statistics of the online shopping market and promote the development of the real economy, this study discusses the analysis of consumer behavior in online shopping based on the market changes of artificial intelligence and digital economy. Through the questionnaire, it can be found that all age groups have been exposed to online shopping, most of them are young people, and the number of shopping per month is still concentrated between 4 and 11 times. The study also examined the size of China’s online retail market and found that there were 820 million Internet shoppers in China by December 2021, which is forecast to be 910 million by 2022. The report also found that the B2C market share will reach nearly 61% in 2021 due to the B2C model featuring higher quality goods and more guaranteed services.

Suggested Citation

  • Ying Xiong & Lele Qin, 2022. "The Impact of Artificial Intelligence and Digital Economy Consumer Online Shopping Behavior on Market Changes," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, May.
  • Handle: RePEc:hin:jnddns:9772416
    DOI: 10.1155/2022/9772416
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/9772416.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2022/9772416.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/9772416?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Qiong Wang & Yihan Wei, 2023. "Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Mohammadhanif Dasoomi & Ali Naderan & Tofigh Allahviranloo, 2023. "Predicting the Choice of Online or Offline Shopping Trips Using a Deep Neural Network Model and Time Series Data: A Case Study of Tehran, Iran," Sustainability, MDPI, vol. 15(20), pages 1-15, October.

    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:hin:jnddns:9772416. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.