IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-488-4_23.html

Boosting Sales and Trust: An Empirical Study on Facebook Shop

In: Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)

Author

Listed:
  • Razafimanantsoa Harisoa

    (Hefei University of Technology, School of Management Department)

Abstract

Social media metrics have emerged as vital tools for small businesses operating within the Facebook Shop market, aiding in the enhancement of sales performance and consumer trust. This study endeavors to investigate the impact of Facebook metrics on SME sales performance and consumer trust. Employing a robust quantitative methodology, data were collected from 92 SME proprietors or managers through surveys, and advanced statistical techniques such as regression analysis, confirmatory factor analysis (CFA), Average Variance Extracted (AVE) and a structural equation model using SPSS software were applied for analysis. The findings, derived from regression analyses conducted for each SME and subsequently compared, indicate that the number of likes on sellers’ Facebook pages does not independently influence sales volume or consumer trust. However, the number of followers emerges as a significant factor, exerting a notable impact on both sales volume and the establishment of consumer trust. Consequently, this study emphasizes the imperative of utilizing Facebook metrics to optimize sales performance and cultivate consumer trust within the Facebook online marketplace for small businesses. Moreover, the study can inform strategic decision-making and offers actionable recommendations for SME owners and managers.

Suggested Citation

  • Razafimanantsoa Harisoa, 2024. "Boosting Sales and Trust: An Empirical Study on Facebook Shop," Advances in Economics, Business and Management Research, in: Junfeng Liao & Hongbo Li & Edward H. K. Ng (ed.), Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024), pages 207-221, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-488-4_23
    DOI: 10.2991/978-94-6463-488-4_23
    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:978-94-6463-488-4_23. 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.