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Reputational intelligence: innovating brand management through social media data

2019-11Artigo científico Acesso restrito
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dc.contributor.authorCasado-Molina, Ana-María
dc.contributor.authorRamos, Celia
dc.contributor.authorRojas-de-Gracia, Maria-Mercedes
dc.contributor.authorPelaez Sanchez, Jose Ignacio
dc.date.accessioned2020-07-24T10:50:57Z
dc.date.available2020-07-24T10:50:57Z
dc.date.issued2019-11
dc.description.abstractPurpose Companies are currently facing the challenge of understanding how their business is affected by the large volume of opinions continually generated by their stakeholders in social media regarding their intangible assets (experiences, emotions and attitudes). With this in mind, the purpose of this paper is to present an innovative management model, named E2AB, to measure and analyse reputational intangibles from digital ecosystems and their impacts on tangible assets. Design/methodology/approach The methodology applied was big data and business intelligence techniques. These methods were used in the computing process to obtain daily data from every asset guarantees that the model is validated with robust data. This model has been corroborated using data from the banking sector, specifically 402,383 net data inputs from the digital ecosystems. Findings This study illustrates the existence of a holistic influence of intangible assets over tangible assets. The findings demonstrate complex relationships between tangible and intangible assets, determined not only by the type of variable but also by its valence and intensity. Originality/value It is a pioneering work in establishing a model, which demonstrates transversal and holistic relationships between relational intangible and tangible assets of firms from digital ecosystems, using business intelligence techniques.
dc.description.sponsorshipUniversity of Malaga [PPIT.UMA.B1.2017/05]
dc.description.sponsorshipFCT - Foundation for Science and Technology through the CIEO project [UID/SOC/04020/2019]
dc.description.sponsorshipFCT - Foundation for Science and Technology through the project CEFAGE [UID/ECO/04007/2019]
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1108/IMDS-03-2019-0145
dc.identifier.issn0263-5577
dc.identifier.urihttp://hdl.handle.net/10400.1/14177
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEmerald
dc.subjectCorporate reputation
dc.subjectEmotions
dc.subjectModel
dc.subjectBusiness intelligence
dc.subjectSocial media data
dc.subjectReputational intelligence
dc.subjectReputational model
dc.subjectIntangible management
dc.subjectCustomer perceptions
dc.titleReputational intelligence: innovating brand management through social media data
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage56
oaire.citation.issue1
oaire.citation.startPage40
oaire.citation.titleIndustrial Management and Data Systems
oaire.citation.volume120
person.familyNameCasado Molina
person.familyNameRamos
person.givenNameAna María
person.givenNameCelia
person.identifier.ciencia-idB917-D015-C2EF
person.identifier.orcid0000-0002-1780-9557
person.identifier.orcid0000-0002-3413-4897
person.identifier.ridS-1226-2016
person.identifier.ridC-5119-2012
person.identifier.scopus-author-id55557154800
person.identifier.scopus-author-id35073165500
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication60b65eb0-9d17-4bbb-882a-f68055c44dd7
relation.isAuthorOfPublication08c1d098-29b0-4eaa-96f8-e03d66fcadb4
relation.isAuthorOfPublication.latestForDiscovery08c1d098-29b0-4eaa-96f8-e03d66fcadb4

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