IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-990-2_17.html

The Influence of Online Review and Perceived Risk on Online Purchase Intention for Beauty Products Within Social Commerce Applications

In: Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025)

Author

Listed:
  • Vera Kristina Sitorus

    (Batam Polytechnics, Applied Business Administration Study Program)

  • Hajan Hidayat

    (Batam Polytechnics, Applied Business Administration Study Program)

Abstract

The growth of social commerce has influenced online purchasing behavior, particularly among millennial women who actively use social media, with beauty products being strongly affected. This study aims to analyze the influence of review timeliness, review quantity, review valence, and perceived risk on the online purchase intention of beauty products through social commerce applications in Batam City. Using a quantitative approach (snowball sampling technique), data were collected from 100 millennial female respondents and analyzed using the PLS-SEM method through SmartPLS 4.0. The findings reveal that review timeliness and perceived risk have a positive and significant impact on purchase intention, while review quantity and review valence show no significant influence. These results highlight the importance of timely review and effective risk management in shaping consumer purchase intentions and offer insights for developing more targeted digital marketing strategies within the social commerce landscape, especially for beauty products and millennial consumers.

Suggested Citation

  • Vera Kristina Sitorus & Hajan Hidayat, 2026. "The Influence of Online Review and Perceived Risk on Online Purchase Intention for Beauty Products Within Social Commerce Applications," Advances in Economics, Business and Management Research, in: Jessica Olifia & Dewi Junita & Aprizal Putra & Susi Lestari & Sarah Ulfah Al Amany & Syafri Naldi (ed.), Proceedings of the 7th International Conference on Applied Economics and Social Science (ICAESS 2025), pages 240-258, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-990-2_17
    DOI: 10.2991/978-94-6463-990-2_17
    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:978-94-6463-990-2_17. 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.