TY - GEN
T1 - A fuzzy based model to assess the influence of project risk on corporate behavior
AU - Santos, Ricardo
AU - Abreu, Antonio
AU - Calado, João M.F.
AU - Soares, José Miguel
AU - Martins, José Duarte Moleiro
AU - Anes, Vitor
N1 - Funding Information:
Acknowledgement. This work was partially supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (IDI&CA), within the framework of the project IEOMAB—internationalization of companies operating in the Angolan and Brazilian markets, IPL/2019/IEOMAB_ISCAL.
Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - Nowadays, the competitiveness on industry, requires a good preparation from the organizations, considering all events that may occur, which brings new challenges for the corporation’s management. To address such challenges, risk management’s models have been used to give a sense of threat prevention, by assessing each project’s risk and the risk from the corporation itself as well. However, such models are normally based on human perception, which brings some subjectivity around the risks involved, making their definition less accurate. Additionally, there is a lack of models that allows to better define the corporation’s risk, by exploring the influence from the risk’s project. To address these issues, this paper presents an approach, supported by fuzzy logic, to analyze the risk’s level in an organization, by considering the influence of their projects. A case study will be used to assess the model robustness and to discuss the benefits and challenges found.
AB - Nowadays, the competitiveness on industry, requires a good preparation from the organizations, considering all events that may occur, which brings new challenges for the corporation’s management. To address such challenges, risk management’s models have been used to give a sense of threat prevention, by assessing each project’s risk and the risk from the corporation itself as well. However, such models are normally based on human perception, which brings some subjectivity around the risks involved, making their definition less accurate. Additionally, there is a lack of models that allows to better define the corporation’s risk, by exploring the influence from the risk’s project. To address these issues, this paper presents an approach, supported by fuzzy logic, to analyze the risk’s level in an organization, by considering the influence of their projects. A case study will be used to assess the model robustness and to discuss the benefits and challenges found.
KW - Corporate risk
KW - Fuzzy logic
KW - Project management
KW - Project risk
KW - Risk management
UR - http://www.scopus.com/inward/record.url?scp=85091280912&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-58653-9_37
DO - 10.1007/978-3-030-58653-9_37
M3 - Conference contribution
AN - SCOPUS:85091280912
SN - 9783030586522
T3 - Lecture Notes in Electrical Engineering
SP - 383
EP - 393
BT - CONTROLO 2020 - Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing
A2 - Gonçalves, José Alexandre
A2 - Braz-César, Manuel
A2 - Coelho, João Paulo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020
Y2 - 1 July 2020 through 3 July 2020
ER -