IDEAS home Printed from https://ideas.repec.org/a/taf/tkmrxx/v21y2023i1p41-50.html
   My bibliography  Save this article

Managing competence-based synergy in acquisition processes: empirical evidence from the ICT and global cosmetic industries

Author

Listed:
  • Andrejs Čirjevskis

Abstract

This paper aims to test the ARCTIC framework to assess the prerequisites of competence-based synergy in the acquisition process. To reach this aim, the following research question has been considered: How should core competences be evaluated as sources of synergy in an acquisition? In answering the question, the author researched the latest theoretical findings on the antecedents of synergy in the merger and acquisition process. Based on an in-depth literature review, an ARCTIC framework was developed and tested. The author selected three case studies to test the methodology empirically, namely, the recent Microsoft acquisition of LinkedIn completed at the end of 2016, L’Oréal’s Body Shop acquisition in 2006 and divestiture in 2017, and the recent acquisition of The Body Shop by Natura Cosméticos. The research identified three steps for exploring whether core competence transfer in an acquisition process is an important source of synergy.

Suggested Citation

  • Andrejs Čirjevskis, 2023. "Managing competence-based synergy in acquisition processes: empirical evidence from the ICT and global cosmetic industries," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 21(1), pages 41-50, January.
  • Handle: RePEc:taf:tkmrxx:v:21:y:2023:i:1:p:41-50
    DOI: 10.1080/14778238.2020.1801362
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14778238.2020.1801362
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14778238.2020.1801362?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.

    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:taf:tkmrxx:v:21:y:2023:i:1:p:41-50. 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/tkmr .

    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.