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dc.contributor.authorUrciuoli, Luca
dc.contributor.authorHintsa, Juha
dc.date.accessioned2021-10-18T18:40:30Z
dc.date.available2021-10-18T18:40:30Z
dc.date.issued2020-09-24
dc.identifier.urihttps://hdl.handle.net/1721.1/133036
dc.description.abstractAbstract Decision-making supported by digital ecosystems has been increasingly studied during recent years, especially due to improved technical capabilities to collect, store, and analyze large amounts of data. The literature recognizes that these systems can reduce response time of managers and enhance a cost-efficient recovery of supply chains. However, there is a lack of methodological frameworks to evaluate the benefits of these platforms. In addition, there is still little understanding of the risks in ocean container transport and their implications for supply chains. This paper proposes and applies a mathematical model for evaluating the impacts of digital platforms, with a focus on solutions to mitigate risks in sea transport operations. The model is based on scenarios and decision tree models to evaluate the impacts of a supply chain digital ecosystem on full containers shipped from Asia to Europe implemented by four companies. Results show monetary savings per scenario in the range from €3448 to €79,242. The most significant savings are expected on unplanned transshipments, cargo damage, export inspections, container detention, and container release.en_US
dc.publisherPalgrave Macmillan UKen_US
dc.relation.isversionofhttps://doi.org/10.1057/s41278-020-00163-6en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringeren_US
dc.titleCan digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholdersen_US
dc.typeArticleen_US
dc.identifier.citationUrciuoli, Luca and Hintsa, Juha. 2020. "Can digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholders."
dc.contributor.departmentMassachusetts Institute of Technology. Center for Transportation & Logisticsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-05-30T03:19:49Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.date.submission2021-05-30T03:19:49Z
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


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