IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/124539.html
   My bibliography  Save this paper

The political economy of digital government: how Silicon Valley firms drove conversion to data science and artificial intelligence in public management

Author

Listed:
  • Margetts, Helen
  • Dunleavy, Patrick

Abstract

Until 2010, Anglosphere digital governments struggled to modernize, dependent on large-scale contract relationships with global systems integrators (SIs) and elderly, custom-built legacy systems. Policy-makers have (belatedly) converted to the value of the latest Artificial Intelligence (AI) technologies for improving government. Using elite interviews with government officials in three Anglosphere governments, this article traces the origins of this conversion back to Silicon Valley (SV) and platform corporations. These massive firms drove cultural, organizational and technological developments that reduced the influence of SIs. Going forward, SV firms’ practices will now drive public management use of data science and AI, shaping financial systems and practices. Drawing together elements from business studies, organizational change, public management reform, digital government and AI scholarship and practice, the authors show how government’s relationships with SV firms re-shape political economy relationships and bring digital change in government closer to SV ways of working.

Suggested Citation

  • Margetts, Helen & Dunleavy, Patrick, 2024. "The political economy of digital government: how Silicon Valley firms drove conversion to data science and artificial intelligence in public management," LSE Research Online Documents on Economics 124539, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:124539
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/124539/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    AI (artificial intelligence) ingovernment; cloudcomputing and government; digital era governance; digital government; public management reform; public sector contracting; public sector IT;
    All these keywords.

    JEL classification:

    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ehl:lserod:124539. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    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.