IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v199y2025ics0148296325003200.html
   My bibliography  Save this article

The impact of influence tactics on brand message sharing

Author

Listed:
  • Huang, Guowei
  • Evanschitzky, Heiner
  • Tran, Hai-Anh

Abstract

Brand message sharing is a crucial outcome of social media marketing. This research draws on the conceptual framework of influence tactics to provide insights into how specific tactics—internalization (e.g., offering objective information), compliance (e.g., exerting demands), and ingratiation (e.g., expressing emotions)— embedded in brand communications impact brand message sharing. By developing a machine learning model, this study analyzes a dataset of 893,054 brand-related tweets from 122 S&P 500 brands and demonstrates that these three influence tactics significantly enhance brand message sharing. In particular, ingratiation exerts a stronger influence on brand message sharing compared to internalization and compliance. Moreover, a high level of consistency or a high level of variation in the influence tactics used in sequences of posted messages boosts brand message sharing. Additionally, tailoring ingratiation and compliance tactics to feminine and masculine brand names, respectively, can further enhance the effectiveness of brand message sharing.

Suggested Citation

  • Huang, Guowei & Evanschitzky, Heiner & Tran, Hai-Anh, 2025. "The impact of influence tactics on brand message sharing," Journal of Business Research, Elsevier, vol. 199(C).
  • Handle: RePEc:eee:jbrese:v:199:y:2025:i:c:s0148296325003200
    DOI: 10.1016/j.jbusres.2025.115497
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325003200
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115497?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:jbrese:v:199:y:2025:i:c:s0148296325003200. 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: http://www.elsevier.com/locate/jbusres .

    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.