A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , , , |
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. |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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MDPI |
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MDPI |
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