dc.creatorRebello, Celina
dc.creatorTavares, Elaine
dc.date2019-09-05T16:32:07Z
dc.date2023-09-27T03:00:37Z
dc.date2018-12
dc.date.accessioned2023-09-27T13:30:18Z
dc.date.available2023-09-27T13:30:18Z
dc.identifier2013-1631
dc.identifierhttp://hdl.handle.net/11422/9366
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8908403
dc.descriptionThis article’s objective is the identification of research opportunities in the current big data privacy domain, evaluating literature effects on secure informational assets. Until now, no study has analyzed such relation. Its results can foster science, technologies and businesses. To achieve these objectives, a big data privacy Systematic Literature Review (SLR) is performed on the main scientific peer reviewed journals in Scopus database. Bibliometrics and text mining analysis complement the SLR. This study provides support to big data privacy researchers on: most and least researched themes, research novelty, most cited works and authors, themes evolution through time and many others. In addition, TOPSIS and VIKOR ranks were developed to evaluate literature effects versus informational assets indicators. Secure Internet Servers (SIS) was chosen as decision criteria. Results show that big data privacy literature is strongly focused on computational aspects. However, individuals, societies, organizations and governments face a technological change that has just started to be investigated, with growing concerns on law and regulation aspects. TOPSIS and VIKOR Ranks differed in several positions and the only consistent country between literature and SIS adoption is the United States. Countries in the lowest ranking positions represent future research opportunities.
dc.descriptionIndisponível.
dc.languagepor
dc.publisherBrasil
dc.publisherInstituto COPPEAD de Administração
dc.relationTransactions on Data Privacy
dc.rightsAcesso Aberto
dc.subjectBig data
dc.subjectMulti-Criteria Decision Making (MCDM)
dc.subjectTechnique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
dc.subjectVlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR)
dc.subjectBibliometrics
dc.subjectCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
dc.titleBig data privacy context: literature effects on secure informational assets
dc.typeArtigo


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