IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v61y2025i14p4366-4383.html
   My bibliography  Save this article

Does the Adoption of Blockchain Technology Necessarily Improve Firm Performance? Application of Meta-Analysis

Author

Listed:
  • Malaya Ranjan Mohapatra
  • Bijoy Rakshit

Abstract

Although the adoption of blockchain technology (BT) has witnessed substantial growth over the years, the current literature on the impact of blockchain adoption on firm performance yields inconclusive insights. Therefore, this study uses a meta-analysis technique to investigate the effects of adopting blockchain technology on firm performance. The study advances a conceptual framework incorporating the antecedents of BT adoption and extends a comprehensive meta-analysis of BT and firm performance. The findings reveal that blockchain adoption positively impacts firm performance, and market and technological dynamism are the antecedents that affect blockchain adoption. However, the meta-analytics structural equation modeling (MASEM) shows that firms’ innovation and market and technological dynamism significantly impact blockchain adoption, resulting in better firm performance.

Suggested Citation

  • Malaya Ranjan Mohapatra & Bijoy Rakshit, 2025. "Does the Adoption of Blockchain Technology Necessarily Improve Firm Performance? Application of Meta-Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 61(14), pages 4366-4383, November.
    • Handle: RePEc:mes:emfitr:v:61:y:2025:i:14:p:4366-4383
    DOI: 10.1080/1540496X.2025.2509772
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2025.2509772
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1540496X.2025.2509772?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

    for a different version of it.

    More about this item

    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:mes:emfitr:v:61:y:2025:i:14:p:4366-4383. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.