IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-8437-3_3.html
   My bibliography  Save this book chapter

An Analysis of Samsung Electronics’ Success Myths from the Perspective of Dynamic Capabilities

In: Strategic Management and Innovation Strategies

Author

Listed:
  • Hyun-Jong Choo

    (Nihon University)

Abstract

This study explores the sources of Samsung Electronics’ sustained competitive advantage in the telecommunications equipment sector by examining two landmark cases: the Anycall Myth in the feature phone era and the Galaxy Myth in the smartphone era. Employing the Dynamic Capabilities (DC) framework, the analysis highlights how Samsung effectively sensed market shifts, seized emerging opportunities, and transformed its organizational resources and capabilities to adapt to disruptive changes in the global market. The findings emphasize the pivotal role of Samsung’s control tower in facilitating rapid decision-making, inter-affiliate collaboration, and vertically integrated production systems. However, following the dismantling of the control tower in 2017, Samsung’s decentralized management approach has led to delays in strategic coordination and weakened adaptability, particularly in the semiconductor sector. The discussion underscores the urgent need to rebuild a governance structure that balances strategic agility with transparency and accountability. This paper concludes that restoring a reformed control tower is critical for Samsung Electronics to sustain its competitive edge in the AI-driven era. By offering a comprehensive case analysis grounded in DC theory, this study contributes to a deeper understanding of corporate strategy, of dynamic capabilities, and of governance in rapidly evolving industries.

Suggested Citation

  • Hyun-Jong Choo, 2025. "An Analysis of Samsung Electronics’ Success Myths from the Perspective of Dynamic Capabilities," Springer Books, in: Takabumi Hayashi & Yoshikazu Sakamoto (ed.), Strategic Management and Innovation Strategies, chapter 0, pages 51-78, Springer.
  • Handle: RePEc:spr:sprchp:978-981-96-8437-3_3
    DOI: 10.1007/978-981-96-8437-3_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-981-96-8437-3_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.