Export Ready — 

A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems

Bibliographic Details
Main Author: Santos, Ricardo
Publication Date: 2020
Other Authors: Abreu, António, Dias, Ana, Calado, João Manuel Ferreira, Anes, Vitor, Soares, José
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.21/12201
Summary: Nowadays—and due to an increasingly competitive world—organizations need to collaborate in an open innovation context to be e_cient and e_ective by achieving high levels of innovation with their products and services. However, the existing resources—as well as the innovation achieved from the diversity of partners involved—brings challenges to the management; in particularly with risk management. To fulfill such needs, risk management frameworks have been created to support managers, on preventing threats with systems development, although without properly account the influence of each system component, on the entire system, as well as the subjectivity within human perception. To account for these issues, a framework supported by fuzzy logic is presented in this work, to evaluate the risk level on system development in open innovation environment. The approach robustness is assessed by using a case study, where the challenges and benefits found are discussed.
id RCAP_ca2d66a99cb5ace1043601743b106b1d
oai_identifier_str oai:repositorio.ipl.pt:10400.21/12201
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystemsCollaborative networksVirtual enterpriseOpen innovationRisk managementFuzzy logicSystems engineeringNowadays—and due to an increasingly competitive world—organizations need to collaborate in an open innovation context to be e_cient and e_ective by achieving high levels of innovation with their products and services. However, the existing resources—as well as the innovation achieved from the diversity of partners involved—brings challenges to the management; in particularly with risk management. To fulfill such needs, risk management frameworks have been created to support managers, on preventing threats with systems development, although without properly account the influence of each system component, on the entire system, as well as the subjectivity within human perception. To account for these issues, a framework supported by fuzzy logic is presented in this work, to evaluate the risk level on system development in open innovation environment. The approach robustness is assessed by using a case study, where the challenges and benefits found are discussed.MDPIRCIPLSantos, RicardoAbreu, AntónioDias, AnaCalado, João Manuel FerreiraAnes, VitorSoares, José2020-09-01T13:23:35Z2020-08-022020-08-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/12201eng2071-105010.3390/su12156218info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T10:39:47Zoai:repositorio.ipl.pt:10400.21/12201Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:07:39.082005Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
title A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
spellingShingle A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
Santos, Ricardo
Collaborative networks
Virtual enterprise
Open innovation
Risk management
Fuzzy logic
Systems engineering
title_short A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
title_full A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
title_fullStr A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
title_full_unstemmed A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
title_sort A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
author Santos, Ricardo
author_facet Santos, Ricardo
Abreu, António
Dias, Ana
Calado, João Manuel Ferreira
Anes, Vitor
Soares, José
author_role author
author2 Abreu, António
Dias, Ana
Calado, João Manuel Ferreira
Anes, Vitor
Soares, José
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Santos, Ricardo
Abreu, António
Dias, Ana
Calado, João Manuel Ferreira
Anes, Vitor
Soares, José
dc.subject.por.fl_str_mv Collaborative networks
Virtual enterprise
Open innovation
Risk management
Fuzzy logic
Systems engineering
topic Collaborative networks
Virtual enterprise
Open innovation
Risk management
Fuzzy logic
Systems engineering
description Nowadays—and due to an increasingly competitive world—organizations need to collaborate in an open innovation context to be e_cient and e_ective by achieving high levels of innovation with their products and services. However, the existing resources—as well as the innovation achieved from the diversity of partners involved—brings challenges to the management; in particularly with risk management. To fulfill such needs, risk management frameworks have been created to support managers, on preventing threats with systems development, although without properly account the influence of each system component, on the entire system, as well as the subjectivity within human perception. To account for these issues, a framework supported by fuzzy logic is presented in this work, to evaluate the risk level on system development in open innovation environment. The approach robustness is assessed by using a case study, where the challenges and benefits found are discussed.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-01T13:23:35Z
2020-08-02
2020-08-02T00:00:00Z
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 http://hdl.handle.net/10400.21/12201
url http://hdl.handle.net/10400.21/12201
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su12156218
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833598502640287744