Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78057

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dc.contributor.authordos Santos Cardoso, Fabiopor
dc.contributor.authorVarajão, Joãopor
dc.contributor.authorCarvalho, Anapor
dc.date.accessioned2022-05-30T20:51:18Z-
dc.date.available2022-05-30T20:51:18Z-
dc.date.issued2021-01-
dc.identifier.isbn9781733632584por
dc.identifier.urihttps://hdl.handle.net/1822/78057-
dc.description.abstractNational Statistics Offices (NSOs) integrate the global statistical network system. As it happens with other organizations, NSOs need to innovate in their technological structure to keep offering timely and high-quality official data. Big Data technologies are among the most relevant to improve the performance of NSOs. However, on the one hand, there is considerable variation among NSOs regarding the adoption of these technologies, which is a matter of concern. On the other hand, the phenomenon is not being addressed in the research literature. This study outlines research that aims to contribute to the understanding of how NSO organizations adopt and disseminate Big Data technologies in their main processes, including collecting, analyzing, and providing public statistics.por
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scopes: UIDB/00319/2020.por
dc.language.isoengpor
dc.publisherAssociation for Information Systems (AIS)por
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.rightsopenAccesspor
dc.subjectAdoptionpor
dc.subjectBig data technologiespor
dc.subjectNational statistics officespor
dc.subjectNetworkpor
dc.subjectNSOpor
dc.titleThe adoption of big data technologies - A challenge for national statistics officespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.date.updated2022-05-30T10:29:34Z-
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
sdum.export.identifier11157-
sdum.conferencePublication27th Annual Americas Conference on Information Systems, AMCIS 2021por
Aparece nas coleções:DSI - Engenharia e Gestão de Sistemas de Informação

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