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dc.contributor.authorMoretto, Eduardo Carvalho-
dc.contributor.authorSilveira Júnior, Aldery-
dc.date.accessioned2024-10-25T14:53:39Z-
dc.date.available2024-10-25T14:53:39Z-
dc.date.issued2024-05-01-
dc.identifier.citationMORETTO, Eduardo Carvalho; SILVEIRA JÚNIOR, Aldery. Multicriteria model to support the hiring of road freight transport services in Brazil. Sustainability, v. 16, 3804, 2024. DOI: https://doi.org/10.3390/su16093804. Disponível em: https://www.mdpi.com/2071-1050/16/9/3804. Acesso em: 24 out. 2024.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/50734-
dc.language.isoengpt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleMulticriteria model to support the hiring of road freight transport services in Brazilpt_BR
dc.typeArtigopt_BR
dc.identifier.doihttps://doi.org/10.3390/su16093804pt_BR
dc.description.abstract1The transportation of goods plays a fundamental role in the global economy. In Brazil, specifically, a significant portion of what is transported goes through highways, and the provision of this service is carried out through the hiring of specialized companies or independent drivers, who end up serving companies from various sectors. This study successfully constructed a decision model to support the hiring of road freight transport services in Brazil. To achieve this, the multicri teria decision analysis (MCDA) approach was used, employing the Measuring Attractiveness By a Categorical-Based Evaluation Technique (MACBETH) method. The development of this model was informed by a comprehensive literature review, interviews with three transportation professionals, and a simulation involving eight anonymous Brazilian companies. This initiative aims to create a practical framework for effectively selecting logistics operators in the road transport sector to meet the needs of companies dependent on these services.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7852-9460pt_BR
dc.contributor.affiliationUniversity of Brasilia, Faculty of Economics, Administration, Accounting and Public Policy Management, Department of Business Managementpt_BR
dc.contributor.affiliationUniversity of Brasilia, Faculty of Economics, Administration, Accounting and Public Policy Management, Department of Business Managementpt_BR
dc.description.unidadeFaculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)pt_BR
dc.description.unidadeDepartamento de Administração (FACE ADM)pt_BR
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