IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v192y2025ics0148296325001110.html
   My bibliography  Save this article

Growth hacking capability: Antecedents and performance implications in the context of SMEs

Author

Listed:
  • Giordino, Daniele
  • Troise, Ciro
  • Bresciani, Stefano
  • Camilleri, Mark Anthony

Abstract

Growth hacking capability (GHC), detailed as a methodological approach that has as its goal the promotion of the use of experimentation across the entire business value chain, is essential for small- and medium-sized enterprises (SMEs) seeking to boost their growth. Most of the scholarly discourse surrounding GHC remains theoretical in nature. Thus, scholarly literature lacks empirical evidence on the capabilities that enable SMEs’ GHC. This research explores the antecedents of GHC and, at the same time, whether GHC impacts the financial and organisational performance of SMEs. We tested three main antecedents of GHC: big data analytics capability, innovation capability and digital transformation. Our findings suggest that big data analytics capability and innovation capability positively contribute to SMEs’ GHC. On the other hand, digital transformation has a non-significant relationship with GHC. The findings suggest a positive and significant relationship between GHC and the organisational and financial performance of SMEs.

Suggested Citation

  • Giordino, Daniele & Troise, Ciro & Bresciani, Stefano & Camilleri, Mark Anthony, 2025. "Growth hacking capability: Antecedents and performance implications in the context of SMEs," Journal of Business Research, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:jbrese:v:192:y:2025:i:c:s0148296325001110
    DOI: 10.1016/j.jbusres.2025.115288
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325001110
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115288?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:192:y:2025:i:c:s0148296325001110. 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.