A fuzzy reasoning approach to assess innovation risk in ecosystems

Detalhes bibliográficos
Autor(a) principal: Abreu, António
Data de Publicação: 2018
Outros Autores: Martins, José Moleiro, Calado, João M. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1515/eng-2018-0067
Resumo: This work was partially supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (RDI&AC), within the framework of the project ARPIPME -Evaluation of the risk of innovation processes in small and medium enterprises, IPL/2017/ARPIPME/ISCAL. And, itwas also partially supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2013.
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spelling A fuzzy reasoning approach to assess innovation risk in ecosystemsco-innovationcollaborative ecossytemsfuzzy logicfuzzy reasoningRisk analysisEnvironmental EngineeringCivil and Structural EngineeringMaterials Science(all)Aerospace EngineeringMechanical EngineeringElectrical and Electronic EngineeringThis work was partially supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (RDI&AC), within the framework of the project ARPIPME -Evaluation of the risk of innovation processes in small and medium enterprises, IPL/2017/ARPIPME/ISCAL. And, itwas also partially supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2013.Currently, companies to be competitive must achieve high rates of innovation and respond quickly to market needs. According to a number of managers and researches innovation is crucial for companies to stay "alive.» Taking into account several reports, the development of co-innovation networks based on a collaborative environment is the best strategy to support innovation projects. However, the absence of mechanisms to detect and even anticipate potential risks of innovation based on a collaborative approach is an obstacle to the proliferation of this way of working. To address this issue, this paper discusses an approach based on fuzzy reasoning for analyzing the level of risk in co-innovation projects. It is discussed how this approach can be applied to co-innovation projects within the context of a collaborative ecosystem. At last, it is discussed the benefits, and challenges found on experimental results from a Portuguese co-innovation network.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNAbreu, AntónioMartins, José MoleiroCalado, João M. F.2019-06-25T22:42:30Z2018-02-242018-02-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttps://doi.org/10.1515/eng-2018-0067engPURE: 13708979http://www.scopus.com/inward/record.url?scp=85059687443&partnerID=8YFLogxKhttps://doi.org/10.1515/eng-2018-0067info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:34:08Zoai:run.unl.pt:10362/73690Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:22.492731Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A fuzzy reasoning approach to assess innovation risk in ecosystems
title A fuzzy reasoning approach to assess innovation risk in ecosystems
spellingShingle A fuzzy reasoning approach to assess innovation risk in ecosystems
Abreu, António
co-innovation
collaborative ecossytems
fuzzy logic
fuzzy reasoning
Risk analysis
Environmental Engineering
Civil and Structural Engineering
Materials Science(all)
Aerospace Engineering
Mechanical Engineering
Electrical and Electronic Engineering
title_short A fuzzy reasoning approach to assess innovation risk in ecosystems
title_full A fuzzy reasoning approach to assess innovation risk in ecosystems
title_fullStr A fuzzy reasoning approach to assess innovation risk in ecosystems
title_full_unstemmed A fuzzy reasoning approach to assess innovation risk in ecosystems
title_sort A fuzzy reasoning approach to assess innovation risk in ecosystems
author Abreu, António
author_facet Abreu, António
Martins, José Moleiro
Calado, João M. F.
author_role author
author2 Martins, José Moleiro
Calado, João M. F.
author2_role author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Abreu, António
Martins, José Moleiro
Calado, João M. F.
dc.subject.por.fl_str_mv co-innovation
collaborative ecossytems
fuzzy logic
fuzzy reasoning
Risk analysis
Environmental Engineering
Civil and Structural Engineering
Materials Science(all)
Aerospace Engineering
Mechanical Engineering
Electrical and Electronic Engineering
topic co-innovation
collaborative ecossytems
fuzzy logic
fuzzy reasoning
Risk analysis
Environmental Engineering
Civil and Structural Engineering
Materials Science(all)
Aerospace Engineering
Mechanical Engineering
Electrical and Electronic Engineering
description This work was partially supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (RDI&AC), within the framework of the project ARPIPME -Evaluation of the risk of innovation processes in small and medium enterprises, IPL/2017/ARPIPME/ISCAL. And, itwas also partially supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2013.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-24
2018-02-24T00:00:00Z
2019-06-25T22:42:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1515/eng-2018-0067
url https://doi.org/10.1515/eng-2018-0067
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 13708979
http://www.scopus.com/inward/record.url?scp=85059687443&partnerID=8YFLogxK
https://doi.org/10.1515/eng-2018-0067
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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