IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-098-5_58.html

A study of factors influencing the purchase intention of coffee products on UGC social platforms based on the SOR model:

In: Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Author

Listed:
  • Zhu Chen

    (Communication University of China, Department of Art)

Abstract

China's coffee market has developed at a significant rate and coffee marketing has become an issue frequently spoken about in society, but few scholars have studied the marketing of youth communities with an interest in coffee on UGC platforms. Based on the SOR model, the author studied various factors influencing young Xiaohongshu users purchasing willingness related to coffee products. This study was carried out by collecting 420 valid questionnaires and utilising SPSS and AMOS to conduct a reliability analysis and test relevant hypotheses. The results show that usability, interactivity, sociability, professionalism, and opinion leaders, all positively influence the purchase intention.

Suggested Citation

  • Zhu Chen, 2023. "A study of factors influencing the purchase intention of coffee products on UGC social platforms based on the SOR model:," Advances in Economics, Business and Management Research, in: Hrushikesh Mallick & Gaikar Vilas B. & Ong Tze San (ed.), Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), pages 522-526, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-098-5_58
    DOI: 10.2991/978-94-6463-098-5_58
    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:978-94-6463-098-5_58. 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.