IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i11p1862-d1504493.html
   My bibliography  Save this article

Mukbang Live Streaming Commerce and Green Agri-Food Products Consumption: Exploring the New Dynamics of Consumer Purchasing Decisions

Author

Listed:
  • Xinqiang Chen

    (School of Economics and Management, Xiamen University of Technology, Xiamen 361024, China)

  • Jiangjie Chen

    (College of Fine Arts, Huaqiao University, Quanzhou 362021, China)

  • Zhiwen Cai

    (School of Economics and Management, Xiamen University of Technology, Xiamen 361024, China
    School of Management, Xiamen University, Xiamen 361005, China)

Abstract

China’s live streaming boom has led to mukbang live streaming as a unique food marketing tool. Hosts interact with viewers by tasting and showcasing diverse cuisines in real time. This form of mukbang live streaming has recently been utilized to promote and sell green agri-food products. However, in-depth research into how mukbang live streaming affects the purchase intention for green agri-food products and the underlying mechanisms remains scant. We developed a theoretical model based on stimuli–organism–response theory to explore the impact mechanism. Data was collected via a survey of 455 users from agriculture-related live streaming platforms and analyzed using structural equation modeling with partial least squares. The study found that professional recommendation, audiovisual experience, and social interaction enhance consumers’ perceived utilitarian value; green advocacy, audiovisual experience, and social interaction positively affect consumers’ perceived social value. Both perceived utilitarian value and perceived social value positively affect the intention to purchase green agri-food products. Additionally, we used importance-performance map analysis to compare the model’s effects with latent variable averages, revealing each factor’s importance and performance. The findings offer new insights and recommendations for agri-food marketing strategies, particularly in enhancing consumer behaviors towards green agri-food products, aiding suppliers and mukbang live streaming platforms in more effectively promoting these products.

Suggested Citation

  • Xinqiang Chen & Jiangjie Chen & Zhiwen Cai, 2024. "Mukbang Live Streaming Commerce and Green Agri-Food Products Consumption: Exploring the New Dynamics of Consumer Purchasing Decisions," Agriculture, MDPI, vol. 14(11), pages 1-19, October.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:11:p:1862-:d:1504493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/11/1862/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/11/1862/
    Download Restriction: no
    ---><---

    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:gam:jagris:v:14:y:2024:i:11:p:1862-:d:1504493. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.