Fuzzy logic model to support risk assessment in innovation ecosystems

António Abreu, José Duarte Moleiro Martins, J. M. F. Calado

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Nowadays, enterprises in global markets must achieve high levels of performance and competitiveness to stay 'alive'. According to several authors and as frequently mentioned by reports of practical case studies, one of the most relevant sources of competitive advantage is the innovation capacity. The identification and quantification of the existing or potential innovation risks in a collaborative environment, is an important element for the wide adoption of the innovation ecosystem paradigm. However, models to understand the innovation risks in a collaborative environment are lacking. To address this issue, this paper introduces an approach based on a qualitative assessment, including a quantitative basis, whose development was supported by fuzzy logic for analyzing the level of risk in co-innovation projects. Finally, based on experimental results from a Portuguese collaborative network, a discussion about the benefits and challenges found are discussed.

Original languageEnglish
Title of host publication13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings
EditorsCesar Teixeira, Jorge Henriques, Paulo Gil, Alberto Cardoso
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-109
Number of pages6
ISBN (Electronic)9781538653463
DOIs
Publication statusPublished - 29 Oct 2018
Event13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Ponta Delgada, Sao Miguel Island, Azores, Portugal
Duration: 4 Jun 20186 Jun 2018

Conference

Conference13th APCA International Conference on Control and Soft Computing, CONTROLO 2018
CountryPortugal
CityPonta Delgada, Sao Miguel Island, Azores
Period4/06/186/06/18

Keywords

  • Collaborative ecosystems
  • Fuzzy logic
  • Fuzzy reasoning
  • Innovation
  • Risk analysis
  • Style

Fingerprint Dive into the research topics of 'Fuzzy logic model to support risk assessment in innovation ecosystems'. Together they form a unique fingerprint.

  • Cite this

    Abreu, A., Martins, J. D. M., & Calado, J. M. F. (2018). Fuzzy logic model to support risk assessment in innovation ecosystems. In C. Teixeira, J. Henriques, P. Gil, & A. Cardoso (Eds.), 13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings (pp. 104-109). [8514281] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONTROLO.2018.8514281