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dc.contributor.authorViloria Silva, Amelec Jesusspa
dc.contributor.authorHernández-Fernández, Lissettespa
dc.contributor.authorTorres Cuadrado, Esperanza Margaritaspa
dc.contributor.authorMercado Caruso, Nohora Nubiaspa
dc.contributor.authorRengifo Espinosa, Carlosspa
dc.contributor.authorAcosta Ortega, Felipespa
dc.contributor.authorHernández P, Hugospa
dc.contributor.authorJimenez Delgado, Genett Isabelspa
dc.date.accessioned2019-08-31T03:10:25Z
dc.date.available2019-08-31T03:10:25Z
dc.date.issued2019-07-26
dc.identifier.issn1865-0929spa
dc.identifier.urihttp://hdl.handle.net/11323/5228spa
dc.description.abstractThe change brought by Big Data about the way to analyze the data is revolutionary. The technology related to Big Data supposes a before and after in the form of obtaining valuable information for the companies since it allows to manage a large volume of data, practically in real time and obtain a great volume of information that gives companies great competitive advantages. The objective of this work is evaluating the factors that affect the acceptance of this new technology by small and medium enterprises. To that end, the technology acceptance model called Unified Theory of Technology Adoption and Use of Technology (UTAUT) was adapted to the Big Data context to which an inhibitor was added: resistance to the use of new technologies. The structural model was assessed using Partial Least Squares (PLS) with an adequate global adjustment. Among the results, it stands out that a good infrastructure is more relevant for the use of Big Data than the difficulty of its use, accepting that it is necessary to make an effort in its implementation.spa
dc.description.sponsorshipUniversidad Peruana de Ciencias Aplicadas, Universidad de la Costa, Fundación Universitaria Popayán, Corporación Universitaria Latinoamericana, Corporación Universitaria Reformada.spa
dc.language.isoeng
dc.publisherCommunications in Computer and Information Sciencespa
dc.relation.ispartofhttps://doi.org/10.1007/978-981-32-9563-6_4spa
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.subjectBig dataspa
dc.subjectIntention to usespa
dc.subjectUTAUTspa
dc.subjectAcceptance of technologiesspa
dc.subjectResistance to usespa
dc.subjectPartial least squaresspa
dc.titleFactors affecting the big data adoption as a marketing tool in SMEsspa
dc.typePre-Publicaciónspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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