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Fuzzy logic model to support risk assessment in innovation ecosystems

2018-06Conference object Open access
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dc.contributor.authorAbreu, António
dc.contributor.authorMoleiro Martins, José
dc.contributor.authorCalado, João Manuel Ferreira
dc.date.accessioned2018-12-18T10:10:47Z
dc.date.available2018-12-18T10:10:47Z
dc.date.issued2018-06
dc.description.abstractNowadays, enterprises in global markets must achieve high levels of performance and competitiveness to stay “alive". According to several authors and as frequently mentioned by reports of practical case studies, one of the most relevant sources of competitive advantage is the innovation capacity. The identification and quantification of the existing or potential innovation risks in a collaborative environment, is an important element for the wide adoption of the innovation ecosystem paradigm. However, models to understand the innovation risks in a collaborative environment are lacking. To address this issue, this paper introduces an approach based on a qualitative assessment, including a quantitative basis, whose development was supported by fuzzy logic for analyzing the level of risk in co-innovation projects. Finally, based on experimental results from a Portuguese collaborative network, a discussion about the benefits and challenges found are discussed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationABREU, António; MARTINS, José Duarte Moleiro; CALADO, João Manuel Ferreira – Fuzzy logic model to support risk assessment in innovation ecosystems. In CONTROLO 2018: 13th APCA International Conference on Automatic Control and Soft Computing. Ponta Delgada, Azores, Portugal: IEEE, 2018. ISBN 978-1-5386-5346-6. Pp. 104-109pt_PT
dc.identifier.isbn978-1-5386-7223-5
dc.identifier.urihttp://hdl.handle.net/10400.21/9179
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationIPL/2017/ARPIPME/ISCAL - IPLpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8514281pt_PT
dc.subjectRisk analysispt_PT
dc.subjectFuzzy logicpt_PT
dc.subjectInnovationpt_PT
dc.subjectEstilopt_PT
dc.subjectRaciocínio difusopt_PT
dc.subjectEcossistemas colaborativospt_PT
dc.titleFuzzy logic model to support risk assessment in innovation ecosystemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F50022%2F2013/PT
oaire.citation.conferencePlaceJune 4-6, 2018 - Ponta Delgada, Azores, Portugalpt_PT
oaire.citation.endPage109pt_PT
oaire.citation.startPage104pt_PT
oaire.citation.titleCONTROLO 2018: 13th APCA International Conference on Automatic Control and Soft Computingpt_PT
oaire.fundingStream5876
person.familyNameAbreu
person.familyNameMoleiro Martins
person.familyNameCalado
person.givenNameAntónio
person.givenNameJosé
person.givenNameJoão
person.identifier1829666
person.identifier1485846
person.identifier370725
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-id5F1F-3C6C-A7BD
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0001-6853-2917
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridD-3964-2014
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id36008956400
person.identifier.scopus-author-id7006897277
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication2ee2e92e-ca22-467a-8f6d-824b362aebd5
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relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c
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