IDEAS home Printed from https://ideas.repec.org/a/taf/rripxx/v29y2022i4p1211-1236.html
   My bibliography  Save this article

Toward a discursive approach to growth models: social blocs in the politics of digital transformation

Author

Listed:
  • Sidney A. Rothstein

Abstract

The growth models perspective analyzes the role of social blocs in crafting countries’ economic policies, but its treatment of business power as purely structural prevents it from addressing an important question in the politics of digital transformation: How have new sectors with miniscule economic footprints been able to influence economic policy? This article explores how tech and venture capital successfully lobbied for financial liberalization at the beginning of digital transformation in the United States. The article argues that explaining the role of social blocs in digital transformation requires incorporating discourse analysis and develops a conceptual framework around three causal mechanisms in the dynamics of social blocs: formation, influence, and endurance. This framework contributes to theory development in the growth models perspective and improves our understanding of the character of business power in digital transformation.

Suggested Citation

  • Sidney A. Rothstein, 2022. "Toward a discursive approach to growth models: social blocs in the politics of digital transformation," Review of International Political Economy, Taylor & Francis Journals, vol. 29(4), pages 1211-1236, July.
    • Handle: RePEc:taf:rripxx:v:29:y:2022:i:4:p:1211-1236
    DOI: 10.1080/09692290.2021.1895278
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09692290.2021.1895278
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09692290.2021.1895278?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:rripxx:v:29:y:2022:i:4:p:1211-1236. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rrip20 .

    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.