The political economy of digital government: how Silicon Valley firms drove conversion to data science and artificial intelligence in public management
Helen Margetts and
Patrick Dunleavy
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
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.
Keywords: AI (artificial intelligence) ingovernment; cloudcomputing and government; digital era governance; digital government; public management reform; public sector contracting; public sector IT (search for similar items in EconPapers)
JEL-codes: D73 H83 L86 (search for similar items in EconPapers)
Pages: 11 pages
Date: 2024-08-21
New Economics Papers: this item is included in nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Public Money and Management, 21, August, 2024. ISSN: 0954-0962
Downloads: (external link)
http://eprints.lse.ac.uk/124539/ Open access version. (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:124539
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().