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A data fusion approach for business partners selection

2018-01-01Artigo científico Acesso aberto
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dc.contributor.authorVarela, Maria Leonilde R.
dc.contributor.authorArrais-Castro, António
dc.contributor.authorRibeiro, Rita A.
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblInderscience
dc.date.accessioned2019-07-03T22:42:35Z
dc.date.available2019-07-03T22:42:35Z
dc.date.issued2018-01-01
dc.descriptionThis work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the project scope: UID/CEC/00319/2013.
dc.description.abstractStrategies of market diversification push companies to provide novel products and services to customers, belonging to new geographic and demographic segments. Additionally, market development strategies targeting non-buying customers in selected segments or new buyers in new segments may be paired with increased product diversification and improved business agility. To fulfil the requirements associated with manufacturing, a wider range of products and increased customised demands imply having a wider set of competences available. Most companies find it increasingly difficult to have all required competences in their internal structures; therefore, they need to rely on strategic business partnerships and suppliers to be successful. In this paper, we discuss a data fusion decision approach for supplier and business partner evaluation, which includes past, current and forecast information about business partners. This approach may prove vital for companies to establish strong collaborative business networks.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent34
dc.format.extent344157
dc.identifier.doi10.1504/IJIDS.2018.095495
dc.identifier.issn1756-7017
dc.identifier.otherPURE: 13654499
dc.identifier.otherPURE UUID: 1f21e7b9-c6e3-4289-b98a-fae9d2a1522c
dc.identifier.otherScopus: 85054996419
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85054996419&partnerID=8YFLogxK
dc.identifier.urihttp://hdl.handle.net/10362/74423
dc.identifier.urlhttps://www.scopus.com/pages/publications/85054996419
dc.language.isoeng
dc.peerreviewedyes
dc.subjectBusiness strategies
dc.subjectCollaborative networks
dc.subjectData fusion
dc.subjectDecision support methods
dc.subjectDynamic multi-criteria model
dc.subjectFuzzy decision-making
dc.subjectSelection
dc.subjectSupplier evaluation
dc.subjectTools
dc.subjectUncertainty treatment
dc.subjectComputer Science Applications
dc.subjectStrategy and Management
dc.subjectInformation Systems and Management
dc.subjectManagement of Technology and Innovation
dc.titleA data fusion approach for business partners selectionen
dc.typejournal article
degois.publication.firstPage311
degois.publication.issue4
degois.publication.lastPage344
degois.publication.titleInternational Journal of Information and Decision Sciences
degois.publication.volume10
dspace.entity.typePublication
rcaap.rightsopenAccess

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