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A reputational-risk-based match selection framework for collaborative networks in the logistics sector

2022-04-06Journal article Open access
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dc.contributor.authorAnes, Vitor
dc.contributor.authorAbreu, António
dc.contributor.authorDias, Ana
dc.contributor.authorCalado, João Manuel Ferreira
dc.date.accessioned2023-05-18T10:15:39Z
dc.date.available2023-05-18T10:15:39Z
dc.date.issued2022-04-06
dc.description.abstractCollaborative networks in the logistics sector have proven to be a solution that both meets environmental footprint reduction goals and addresses the impact of rising fuel prices on logistics companies, especially for small- and medium-sized enterprises. Despite these benefits, these collaborative networks have not received the desired amount of participation due to reputational risk. This paper develops a framework for assessing and managing reputational risk to encourage logistics companies' participation in collaborative networks. To this end, customer satisfaction factors were correlated with logistics operations, and this correlation was then modeled using the Bowtie method, fault trees, event trees, reliability theory, and the Monte Carlo model. The results show that it is possible to implement a structured model that can be easily put into practice. Using an illustrative case study, it is also possible to prioritize three companies according to their reputational risk as assessed by the proposed model. The developed model can promote the sustainability of collaborative networks in the logistics industry by assessing and consistently reducing reputational risk, thus supporting the strengthening of the relationship between suppliers, logistics service providers, and end customers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationANES, Vítor; ABREU, António; DIAS, Ana; CALADO, João – A reputational-risk-based match selection framework for collaborative networks in the logistics sector. Sustainability. eISSN 2071-1050. Vol. 14, N.º 7 (2022), pp. 1-24.pt_PT
dc.identifier.doi10.3390/su14074329pt_PT
dc.identifier.eissn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.21/16070
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationIPL/2021/ReEdIA_ISEL - Instituto Politécnico de Lisboapt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/14/7/4329pt_PT
dc.subjectSustainabilitypt_PT
dc.subjectCollaborative networkspt_PT
dc.subjectLogisticspt_PT
dc.subjectTransportation sectorpt_PT
dc.subjectRisk assessment and managementpt_PT
dc.subjectMonte Carlo methodpt_PT
dc.titleA reputational-risk-based match selection framework for collaborative networks in the logistics sectorpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage24pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume14pt_PT
person.familyNameAnes
person.familyNameAbreu
person.familyNameDias
person.familyNameCalado
person.givenNameVitor
person.givenNameAntónio
person.givenNameAna S M E
person.givenNameJoão
person.identifier1829666
person.identifier370725
person.identifier.ciencia-id841E-DD98-58C2
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-id0017-63BF-F44A
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0002-8526-398X
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0002-6166-7170
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridD-6173-2014
person.identifier.ridD-3964-2014
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id52463218100
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id57197491109
person.identifier.scopus-author-id7006897277
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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