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dc.contributor.authorRubin, Tzameret H.
dc.contributor.authorAas, Tor Helge
dc.contributor.authorWilliams, Jackie
dc.date.accessioned2022-10-11T11:30:27Z
dc.date.available2022-10-11T11:30:27Z
dc.date.created2022-04-21T13:47:53Z
dc.date.issued2022
dc.identifier.citationRubin, T. H., Aas, T. H. & Williams, J. (2022). Big Data and Data Ownership Rights: The Case of Car Insurance. Journal of Information Technology Teaching Cases, 12(1),1-6.en_US
dc.identifier.issn2043-8869
dc.identifier.urihttps://hdl.handle.net/11250/3025348
dc.description.abstractCustomers’ data points sources are growing, through the Internet of Things (IoT), telematics and interfacing with third parties’ platforms. Third parties provide either by-product data about their clients, or data that are generated for the specific task of a more accurate measurement of behaviour. One of the core building blocks in insurance is understanding risk – therefore, innovation around data points (sources and analytics) to proxy risk is the engine behind its digital transformation. While the value of data points is clear for the providers of insurance products and services, the customers have not only less control over their data, but also hardly benefit from the creation of those data points. In this paper we provide a case study from the British car insurance industry, about a data-driven product that pivoted into a re-designed personal data right architecture, which included transparency, traceability and usability of customers’ digital traces, and enabled customers’ ownership rights over their data.en_US
dc.language.isoengen_US
dc.publisherSage Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBig Data and Data Ownership Rights: The Case of Car Insuranceen_US
dc.title.alternativeBig Data and Data Ownership Rights: The Case of Car Insuranceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© Association for Information Technology Trust 2022en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.source.pagenumber1-6en_US
dc.source.volume12en_US
dc.source.journalJournal of Information Technology Teaching Casesen_US
dc.source.issue1en_US
dc.identifier.doihttps://doi.org/10.1177/20438869221096859
dc.identifier.cristin2018182
dc.relation.projectInnovate UK: ES/S010416/1en_US
dc.description.localcodePaid open Access
cristin.qualitycode1


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