Journal article
The political economy of digital government: how Silicon Valley firms drove conversion to data science and artificial intelligence in public management
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
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- Files:
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(Preview, Version of record, pdf, 781.4KB, Terms of use)
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- Publisher copy:
- 10.1080/09540962.2024.2389915
Authors
- Publisher:
- Taylor and Francis
- Journal:
- Public Money and Management More from this journal
- Publication date:
- 2024-08-21
- Acceptance date:
- 2024-05-27
- DOI:
- EISSN:
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1467-9302
- ISSN:
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0954-0962
- Language:
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English
- Keywords:
- Pubs id:
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2013297
- Local pid:
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pubs:2013297
- Deposit date:
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2024-07-09
Terms of use
- Copyright holder:
- Margetts and Dunleavy
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in anyway. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
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