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dc.contributor.authorOrenga Roglá, Sergio
dc.contributor.authorChalmeta, Ricardo
dc.date.accessioned2016-10-18T11:28:35Z
dc.date.available2016-10-18T11:28:35Z
dc.date.issued2016-08
dc.identifier.issn2193-1801
dc.identifier.urihttp://hdl.handle.net/10234/163642
dc.description.abstractThe emergence of Web 2.0 and Big Data technologies has allowed a new customer relationship strategy based on interactivity and collaboration called Social Customer Relationship Management (Social CRM) to be created. This enhances customer engagement and satisfaction. The implementation of Social CRM is a complex task that involves different organisational, human and technological aspects. However, there is a lack of methodologies to assist companies in these processes. This paper shows a novel methodology that helps companies to implement Social CRM, taking into account different aspects such as social customer strategy, the Social CRM performance measurement system, the Social CRM business processes, or the Social CRM computer system. The methodology was applied to one company in order to validate and refine it.ca_CA
dc.format.extent17 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherSpringerOpenca_CA
dc.relation.isPartOfSpringerPlus, 2016, 5:1462ca_CA
dc.rights© 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.ca_CA
dc.rightsAtribución 4.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectSocial customer relationship managementca_CA
dc.subjectCustomer engagementca_CA
dc.subjectWeb 2.0 technologiesca_CA
dc.subjectBig Data technologiesca_CA
dc.titleSocial customer relationship management: taking advantage of Web 2.0 and Big Data technologiesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1186/s40064-016-3128-y
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://springerplus.springeropen.com/articles/10.1186/s40064-016-3128-yca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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© 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.