IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v87y2026ics0275531926001352.html

Corporate digital transformation and M&A completion: Evidence from China

Author

Listed:
  • Yu, Lin
  • Yin, Qi
  • Zhan, Yifan

Abstract

The utilization of digital technologies in enterprises has been increasingly highlighted in recent years, particular notable in countries like China, which depends on digital technologies as one key developing strategy. We argue that acquirers actively pursuing digital initiatives send a positive signal of their development and strategy, improving the probability of completing mergers and acquisitions (M&A). Specifically, we suggest three potential channels between acquirers’ digital transformation and M&A completion, which are enhanced transparency, innovation and environmental commitment. After the M&A deal is accomplished, firms in digital transformation persistently perform better. We also show that the positive effect of digital transformation is more pronounced in firms with weaker informational environments, having CEOs with research and development (R&D) and academic backgrounds, and under greater environmental regulatory pressure.

Suggested Citation

  • Yu, Lin & Yin, Qi & Zhan, Yifan, 2026. "Corporate digital transformation and M&A completion: Evidence from China," Research in International Business and Finance, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:riibaf:v:87:y:2026:i:c:s0275531926001352
    DOI: 10.1016/j.ribaf.2026.103408
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531926001352
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2026.103408?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

    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:eee:riibaf:v:87:y:2026:i:c:s0275531926001352. 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/ribaf .

    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.