IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_44.html

Anchor Characteristics and Consumer Purchasing Behavior: Based on Perceived Value Theory

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Yuanyuan Wen

    (Taizhou Institute of Science and Technology, NJUST)

  • Zhi Li

    (Taizhou Power Generation Co., Ltd. of China Energy Group)

  • Hongyuan Wen

    (Taizhou Institute of Science and Technology, NJUST)

Abstract

With the rapid development of e-commerce live streaming platforms, network anchors have more and more obvious advantages in E-marketing. Based on the live streaming and perceived value theory, this paper explores the influence mechanism of network anchor characteristics on consumer purchasing behavior. The mediation effect of perceived value is verified through empirical analysis, which provides theoretical basis for subsequent research and feasible marketing suggestions for live streaming e-commerce platforms.

Suggested Citation

  • Yuanyuan Wen & Zhi Li & Hongyuan Wen, 2024. "Anchor Characteristics and Consumer Purchasing Behavior: Based on Perceived Value Theory," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 430-437, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-256-9_44
    DOI: 10.2991/978-94-6463-256-9_44
    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:978-94-6463-256-9_44. 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.