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dc.contributor.authorOrenga Roglá, Sergio
dc.contributor.authorChalmeta Rosaleñ, Ricardo
dc.date.accessioned2018-01-10T08:38:55Z
dc.date.available2018-01-10T08:38:55Z
dc.date.issued2017
dc.identifier.citationORENGA-ROGLÁ, Sergio; CHALMETA, Ricardo. Methodology for the Implementation of Knowledge Management Systems 2.0. Business & Information Systems Engineering, p. 1-19.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/171639
dc.description.abstractWeb 2.0 and Big Data tools can be used to develop knowledge management systems based on facilitating the participation and collaboration of people in order to enhance knowledge. The paper presents a methodology that can help organizations with the use of Web 2.0 and Big Data tools to discover, gather, manage and apply their knowledge by making the process of implementing a knowledge management system faster and simpler. First, an initial version of the methodology was developed and it was then applied to an oil and gas company in order to analyze and refine it. The results obtained show the effectiveness of the methodology, since it helped this company to carry out the implementation quickly and effectively, thereby allowing the company to gain the maximum benefits from existing knowledge.ca_CA
dc.format.extent20 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isospaca_CA
dc.publisherSpringerca_CA
dc.rights© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2017ca_CA
dc.subjectknowledgeca_CA
dc.subjectknowledge managementca_CA
dc.subjectWeb 2.0ca_CA
dc.subjectWeb 2.0 toolsca_CA
dc.subjectbig dataca_CA
dc.subjectbig data toolsca_CA
dc.subjectKMS 2.0ca_CA
dc.titleMethodology for the Implementation of Knowledge Management Systems 2.0ca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1007/s12599-017-0513-1
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://link.springer.com/article/10.1007/s12599-017-0513-1ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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  • LSI_Articles [268]
    Articles de publicacions periòdiques escrits per professors del Departament de Llenguatges i Sistemes Informàtics

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