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Digitization and urban governance

The city as a reflection of its data infrastructure

Bibliographic Data

ID9962185
AuthorsAli Bayat (0000-0003-0381-7756, University of Aberdeen, corresponding author), Peter Kawalek (0000-0002-6248-7745, Loughborough University)
Year2023
Volume89
Issue1
Pages21-38
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Review of Administrative Sciences (JOURNAL)
Journal identifiersISSN: 0020-8523 • E-ISSN: 1461-7226
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00208523211033205
OpenAlexW3175110982
LanguageEN
Citations received8
References cited43

This article introduces the ‘House Model’, an integrated framework consisting of four data governance modes, based on the urban and smart city vision, context, and big data technologies. The model stems from engaged scholarship, synthesizing and extending the academic debates and evidence from existing smart city initiatives. It provides a means for comparing cities in terms of their digitization efforts, helps the planning of more effective urban data infrastructures and guides future empirical research in this area. The article contributes to the literature examining the issue of big data and its governance in local government and smart cities

Big data · Business · Computer security · Context (archaeology · Corporate governance · Data governance · Data mining · Data quality · Data science · Digitization · Geography · Government (linguistics · Political science · Public relations · Regional science · Scholarship · Smart city · Sociology · Telecommunications · Typology · Computer Science · E-Government and Public Services · Human Mobility and Location-Based Analysis · Marketing · Public Administration · Smart Cities and Technologies

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Unique citing works8
Citations per year1.6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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