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Barriers to big data use in municipalities

Bibliographic Data

ID6149092
AuthorsRebecca Moody (0000-0001-9114-2108, Erasmus University Rotterdam, corresponding author), Victor Plat (Municipality of The Hague, 2500 DJ The Hague, The Netherlands), Victor Bekkers (Erasmus University Rotterdam)
Year2019
Volume24
Issue3
Pages271-288
Publication date2019-08-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInformation Polity (JOURNAL)
Journal identifiersISSN: 1875-8754 • E-ISSN: 1570-1255
PublisherIOS Press (PUBLISHER • NL)
DOI10.3233/ip-180090
OpenAlexW2969724566
LanguageEN
Citations received4
References cited26

In this article we confront existing literature on barriers in big data implementation for policy making in municipal governments. We have conducted four cases in a Dutch municipality in which big data is implemented for policy solutions. This has led us to develop a new, comprehensive model which explains which barriers exist while making implementing big data. Dimensions such as the technological, the legal, the informational, the organizational, the ethical and the government-citizen relation dimension will be included in the study. It will be argued that ‘hard’ barriers, such as technological and legal prove to be of far lesser influence than literature suggests. On the other hand, the ‘soft’ barriers such as alignment issues and ethical considerations going further than legal aspects prove to be far more determining barriers for the policy making process in implementing big data solutions in municipal governments

Big data · Business · Data mining · Database · Dimension (graph theory · Government (linguistics · Policy making · Political science · Process (computing · Public relations · Relation (database · Big Data and Business Intelligence · Computer Science · Data Quality and Management · E-Government and Public Services · Public Administration

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Unique citing works4
Citations per year0,57
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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