Artikel

Valuing reciprocal synergies in merger and acquisition deals using the real option analysis

This research explores how global cosmetic players sense emerging market demand for new technologies and products, seize opportunities through the acquisition of core competencies that they needed, and transform their global value chain. The aim of this paper to assess the prerequisites of reciprocal synergies in merger and acquisition (M&A) deals pursuing global growth. To achieve this aim, the author asked a research question: what is the best way to measure the competence-based synergies as added market value inM&Adeals? To answer this question, the author researched the latest theoretical findings on the antecedents of synergy in the merger and acquisition processes. The valuation of reciprocal synergies with real options was discussed with a focus on input variables' values. Based on in-depth content analysis, the ARCTIC (A-Advantage, R-Relatedness, C-Complexity of Competence, T-Time of Integration, I-Implementation Plan, C-Cultural Fit) framework was developed and tested. The author selected three case studies to test the methodology empirically, namely, L'Oréal's Body Shop acquisition in 2006 and divestiture in 2017, the acquisition of The Body Shop by Brazilian's Natura Group in 2017, and the acquisition of Avon Products by Natura that was announced in 2019. The model for the valuation of reciprocal synergies used and discussed real options with a special focus on input variables' values.

Language
Englisch

Bibliographic citation
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 10 ; Year: 2020 ; Issue: 2 ; Pages: 1-25 ; Basel: MDPI

Classification
Öffentliche Verwaltung
Subject
acquisitions
core competence
knowledge transfer
real options
synergy

Event
Geistige Schöpfung
(who)
Čirjevskis, Andrejs
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2020

DOI
doi:10.3390/admsci10020027
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Čirjevskis, Andrejs
  • MDPI

Time of origin

  • 2020

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