IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-008-4_102.html

Content Value Versus Influencer Credibility: What Matters More for Followers’ Trust and Behavioral Intention Towards Collaborative Brands?

In: Proceedings of the 19th International Symposium on Management (INSYMA 2022)

Author

Listed:
  • Mega Indira Pambudi

    (Petra Christian University)

  • Serli Wijaya

    (Petra Christian University)

  • Ferry Jaolis

    (Petra Christian University)

Abstract

Instagram is one of the top three most popular social media platforms in Indonesia. Nowadays, many local brand owners collaborate with influencers to promote products or services sold through Instagram. This study examines the extent to which influencer credibility and advertising content value are shared to create brand trust and consumer behavioral intention. The online survey was distributed to 206 followers of three female Indonesian fashion influencers with at least four hundred thousand followers on Instagram. The results show that influencer credibility and advertising content significantly and directly influence brand trust towards Indonesian fashion products promoted by influencers. Brand trust also significantly and directly influences the followers’ behavioral intentions. However, the influencer’s credibility and his advertising content value indirectly influence the followers’ behavioral intentions through brand trust. These findings indicate that brands under influencer endorsements must first earn trust from the followers prior to encouraging their behavioral intention.

Suggested Citation

  • Mega Indira Pambudi & Serli Wijaya & Ferry Jaolis, 2023. "Content Value Versus Influencer Credibility: What Matters More for Followers’ Trust and Behavioral Intention Towards Collaborative Brands?," Advances in Economics, Business and Management Research, in: Werner Ria Murhadi & Dudi Anandya & Noviaty Kresna Darmasetiawan & Juliani Dyah Trisnawati & Putu An (ed.), Proceedings of the 19th International Symposium on Management (INSYMA 2022), pages 814-824, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-008-4_102
    DOI: 10.2991/978-94-6463-008-4_102
    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:978-94-6463-008-4_102. 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.