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Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance

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  • Andrejs Čirjevskis

    (Business Department, RISEBA University of Applied Sciences in Business, Arts, and Technology, Meza Street 3, LV 1048 Riga, Latvia)

Abstract

This paper aims to unbundle the antecedents of competence-based synergy in the strategic alliance formation process by employing the ARCTIC framework. The current research provides a new empirical application of the ARCTIC framework to reveal the success factors of reciprocal synergies of the Renault–Nissan–Mitsubishi strategic alliance in the automotive industry. By taking a resource-based view on the sources of competitive advantage, the current paper contributes to theoretical and practical issues of global strategic alliances as part of the existing literature on strategic management, international business, and corporate finance. By bridging qualitative and quantitative research methods, the paper provides validity to the ARCTIC framework with an application of the real option valuation. A conceptual model of research helps practitioners and scholars to explore critical success factors of alliance formation and to predict a competence-based synergy of strategic alliances. Future research may explore the institutional context of strategic alliances, specifically, exploring the impact of the French and Japanese governments on the Renault–Nissan–Mitsubishi alliance’s synergies.

Suggested Citation

  • Andrejs Čirjevskis, 2021. "Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance," JRFM, MDPI, vol. 14(8), pages 1-22, August.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:8:p:385-:d:617207
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    1. Igor Kryvovyazyuk & Igor Britchenko & Serhii Smerichevskyi & Liubov Kovalska & Viktoriia Dorosh & Pavlo Kravchuk, 2023. "Digital Transformation and Innovation in Business: the Impact of Strategic Alliances and Their Success Factors," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 3-17.

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