Understanding Datafication Effects of Open Government Information Systems – A Contemporary Systems Thinking Approach

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dc.contributor.authorMarjanovic, Olivera
dc.contributor.authorCecez-Kecmanovic, Dubravka
dc.date.accessioned2016-12-29T01:04:15Z
dc.date.available2016-12-29T01:04:15Z
dc.date.issued2017-01-04
dc.description.abstractThis paper contributes to an improved understanding of datafication effects of open government Information Systems (IS). We focus on a particular category of these IS that is designed to provide open performance data of a public sector (education, health, social services) in the name of accountability and transparency. While acknowledging possible positive datafication effects, in this paper we investigate the negative ones caused by propagation and reuse of open performance data. Using contemporary systems thinking as a theoretical lens, we identify three main types of datafication mechanisms, explain their underlying systemic manifestations and illustrate their societal effects. Drawing insights from a longitudinal research case study of a large-scale open government IS in Australia, we ‘unpack’ mutually-shaping relationships between technology and human behavior, reinforced by various feedback loops within a wider societal system.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.329
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41485
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDatafication effects
dc.subjectOpen Data
dc.subjectOpen government IS
dc.subjectPerformance data
dc.subjectCase Study
dc.titleUnderstanding Datafication Effects of Open Government Information Systems – A Contemporary Systems Thinking Approach
dc.typeConference Paper
dc.type.dcmiText

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