TY - GEN
T1 - A Framework Based on Fuzzy Logic to Manage Risk in an Open Innovation Context
AU - Santos, Ricardo
AU - Abreu, António
AU - Calado, João M. F.
AU - Soares, José Miguel
AU - Martins, José Duarte Moleiro
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
This work, was in part supported by IPL (Polytechnic Institute of Lisbon) through the IDI&CA (Projects for Research, Development, Innovation and Artistic Creation) context, on behalf of the research and development project ANEEC -Assessment of the level of business efficiency to increase competitiveness, IPL/2020/ANEEC_ISCAL.
PY - 2020
Y1 - 2020
N2 - Virtual enterprises (VE), is well-known to make use of open innovation to achieve competitiveness, through innovation on product development. However, its limited resources, combined with the innovation resulted from the diversity of partners involved, rises some challenges to its management, specifically regarded with risk management. To fulfill these requirements, risk management’s models, have been conceived to assist managers, on preventing threats with such risks, although without adequately incorporate the influence of each process domain on product development, as well as the subjectivity regarding human perception. In order to consider these issues, this work presents an approach, supported by fuzzy logic, to assess the risk’s level on product development in an open innovation context. The model robustness, will be assessed through a case study, where it will be also discussed the benefits and challenges found.
AB - Virtual enterprises (VE), is well-known to make use of open innovation to achieve competitiveness, through innovation on product development. However, its limited resources, combined with the innovation resulted from the diversity of partners involved, rises some challenges to its management, specifically regarded with risk management. To fulfill these requirements, risk management’s models, have been conceived to assist managers, on preventing threats with such risks, although without adequately incorporate the influence of each process domain on product development, as well as the subjectivity regarding human perception. In order to consider these issues, this work presents an approach, supported by fuzzy logic, to assess the risk’s level on product development in an open innovation context. The model robustness, will be assessed through a case study, where it will be also discussed the benefits and challenges found.
KW - Collaborative networks
KW - Fuzzy logic
KW - New product development
KW - Open innovation
KW - Risk management
UR - http://www.scopus.com/inward/record.url?scp=85097429394&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62412-5_28
DO - 10.1007/978-3-030-62412-5_28
M3 - Conference contribution
AN - SCOPUS:85097429394
SN - 978-3-030-62411-8
T3 - IFIP Advances in Information and Communication Technology
SP - 336
EP - 349
BT - Boosting Collaborative Networks 4.0 - 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Afsarmanesh, Hamideh
A2 - Ortiz, Angel
PB - Springer
T2 - 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020
Y2 - 23 November 2020 through 25 November 2020
ER -