Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/62940

TítuloA data fusion approach for business partners selection
Autor(es)Varela, M.L.R.
Arrais-Castro, António
Ribeiro, Rita A.
Palavras-chaveBusiness strategies
Collaborative networks
Data fusion
Decision support methods
Dynamic multi-criteria model
Fuzzy decision-making
Selection
Supplier evaluation
Tools
Uncertainty treatment
Data2018
EditoraInderscience
RevistaInternational Journal of Information and Decision Sciences
CitaçãoVarela, M.L.R., Arrais-Castro, A. and Ribeiro, R.A. (2018) ‘A data fusion approach for business partners selection’, Int. J. Information and Decision Sciences, Vol. 10, No. 4, pp.311–344.
Resumo(s)Strategies 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.
TipoArtigo
URIhttps://hdl.handle.net/1822/62940
DOI10.1504/IJIDS.2018.095495
ISSN1756-7017
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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