IDEAS home Printed from https://ideas.repec.org/a/cup/maorev/v19y2023i1p138-140_6.html
   My bibliography  Save this article

Dynamic and Ordinary Capabilities in Industry Transformation: The Case of the Electric Vehicle Industry

Author

Listed:
  • Huang, Can

Abstract

In 2018, in the Dialogue, Debate, and Discussion section of MOR 14.3, an interesting series of articles was published in the ‘Forum on Tesla and the Global Automotive Industry’, where researchers discussed the future dynamics of the global automotive sector. In their work, Perkins and Murmann (2018) contended that, based on Tesla's success, a well-funded company could develop a new electric vehicle (EV) from scratch and move it into production within three to five years if it would invest one to two billion USD in design, development, and manufacturing. Expressing a contrasting view, MacDuffie (2018) questioned this possibility, arguing that EV product architecture is unlikely to become substantially more modular and any new entrant would therefore have to develop the ordinary capabilities that current automotive original equipment manufacturers possess, and there is no guarantee that a firm can develop such capabilities. Teece (2018) joined the debate by proposing a capability-based framework within which to analyze four paradigm shifts that have marked progress in the global automotive industry: EVs, autonomous vehicles, connected cars, and personal mobility services. He argues that these paradigm shifts have created opportunities for new entrants while posing challenges to incumbent firms. To navigate through the uncertainty associated with these paradigm shifts, incumbent firms need to enhance and refine their dynamic capabilities and leverage their integration skills. Jiang and Lu (2018) based their contribution to this debate on the development of the Chinese EV market. In MOR 15.1, published in 2019, Teece (2019) further elaborated his framework to facilitate analysis of the prospects for Chinese firms seeking a stronger foothold in the global automobile market. All these articles have been well received by MOR readers and were ranked among the top 20 articles in full-text view times between June 2021 and June 2022.

Suggested Citation

  • Huang, Can, 2023. "Dynamic and Ordinary Capabilities in Industry Transformation: The Case of the Electric Vehicle Industry," Management and Organization Review, Cambridge University Press, vol. 19(1), pages 138-140, February.
  • Handle: RePEc:cup:maorev:v:19:y:2023:i:1:p:138-140_6
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1740877622000596/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    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:cup:maorev:v:19:y:2023:i:1:p:138-140_6. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mor .

    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.