IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v77y2024ics0969698923004241.html
   My bibliography  Save this article

Influencer selection and strategic analysis for live streaming selling

Author

Listed:
  • Ye, Fei
  • Ji, Li
  • Ning, Yu
  • Li, Yina

Abstract

The increasing popularity of live streaming selling on e-commerce platforms, along with the expanding number of influencers. There are currently two primary categories of influencers: the first refers to top influencers who have a large fan base, resulting in increased popularity and bargaining power. The second category comprises regular influencers who have a smaller fan base, resulting in diminished popularity and bargaining power. Furthermore, sellers are required to consider two pricing strategies, namely the differential pricing strategy and the uniform pricing strategy. We develop a game model to analyze the preferences of the seller regarding influencer types and pricing strategies. We discover that the seller's preference for the influencer depends on the influencer profession's average bargaining power and the fixed payment of the top influencers. When both are less than a certain threshold, the seller prefers to cooperate with the top influencer, and the threshold of both increases under the differential pricing strategy. At the same time, the seller's tolerance for the top influencer's fixed payment increases as the top influencer's popularity increases. It is also observed that the implementation of a differential pricing strategy consistently leads to higher profits compared to a uniform pricing strategy. However, considering the social welfare, the seller tends to favor the uniform pricing strategy when the cost coefficient of the influencer exceeds a specific threshold. Our research presents some guidelines for the seller to make strategic decisions on live streaming selling.

Suggested Citation

  • Ye, Fei & Ji, Li & Ning, Yu & Li, Yina, 2024. "Influencer selection and strategic analysis for live streaming selling," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:joreco:v:77:y:2024:i:c:s0969698923004241
    DOI: 10.1016/j.jretconser.2023.103673
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698923004241
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2023.103673?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:joreco:v:77:y:2024:i:c:s0969698923004241. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.