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

Andrejs Čirjevskis

Knowledge Management Research & Practice, 2023, vol. 21, issue 1, 41-50

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.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2020.1801362 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:21:y:2023:i:1:p:41-50

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1080/14778238.2020.1801362

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().