IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v78y2024ics0969698924000419.html
   My bibliography  Save this article

The Streamer's sales strategy choice considering sales effort

Author

Listed:
  • Zhen, Xueping
  • Wang, Ping
  • Li, Xinran

Abstract

Streamers play a key role in publicizing products and promoting sales, and live streaming has gradually become an important channel for firms seeking to sell products. Some highly influential streamers may choose whether and how to cooperate with firms. This study considers two sales strategies that streamers might choose: a non-selective sales (NS) strategy and a selective sales (S) strategy. Under the NS strategy, streamers always choose to sell firms' products, while under the S strategy, streamers only cooperate with firms whose products closely fit consumers' preference. Considering the streamer's sales effort during a live stream and two key characteristics—influence and product-matching reliability—this study employs a Stackelberg game model to investigate the streamer's sales strategy preference and the impact of the streamer's characteristics. The study also explores conflict between the firm and the streamer in selecting the sales strategy. Our mathematical analysis demonstrates that the streamer makes more sales effort to increase demand during the live stream under the NS strategy than under the S strategy. The streamer with high influence or high product-matching reliability should adopt the S strategy, whereas the streamer with less influence and product-matching reliability will likely prefer the NS strategy. We also identify two Pareto zones, showing that the streamer and firm prefer the same sales strategy (either NS or S) in some cases. These findings contribute to the literature on live-stream selling and provide practical implications for firm managers and streamers.

Suggested Citation

  • Zhen, Xueping & Wang, Ping & Li, Xinran, 2024. "The Streamer's sales strategy choice considering sales effort," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:joreco:v:78:y:2024:i:c:s0969698924000419
    DOI: 10.1016/j.jretconser.2024.103745
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698924000419
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2024.103745?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:78:y:2024:i:c:s0969698924000419. 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.