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- Fuzzy logic model to support risk assessment in innovation ecosystemsPublication . Abreu, António; Moleiro Martins, José; Calado, João Manuel FerreiraNowadays, 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.
- Integrating business, social, and environmental goals in open innovation through partner selectionPublication . Santos, Ricardo; Soares, José; Marques, Pedro; Navas, Helena; Moleiro Martins, JoséAlthough collaborative networks (CN) are widespread in academia and have come to be even more used in corporations all over the world, they still face several challenges on behalf of the new product development (NPD) context, especially in regard to the selection of the CN’s right partner. This becomes even more evident when it comes to promoting sustainable development goals within a CN’s activities, by selecting the right partners with a wide consensus from a CN’s management board, avoiding, therefore, the subjectivity around managers’ perception of a CN’s partner selection. Therefore, this work attempts to answer this problem, by presenting a soft-computing-based framework, to support the managers’ board on partner search and selection. The method presented here is further assessed by using a case study, based on the development of a green product, where, according to the obtained results, it is demonstrated that the proposed approach is extremely effective for partner selection, by assessing and prioritizing each candidate involved. The most suitable candidate that fulfills the CN’s requirements is then selected to be integrated as a future partner.
- Avaliação do risco de inovação em ecossistemas colaborativos com base na lógica difusaPublication . Abreu, António; Moleiro Martins, José; Calado, João Manuel FerreiraAtualmente, as empresas no mercado global têm que alcançar altos níveis de desempenho e competitividade para se manterem "vivas." De acordo com vários autores e como é frequentemente referido em vários relatórios, uma das principais fontes de vantagem competitiva é a capacidade de inovação. A identificação e quantificação dos riscos de inovação existentes ou potenciais num ambiente colaborativo é um elemento importante para a ampla adoção do paradigma do ecossistema de inovação. No entanto, a falta de modelos que permitam analisar os riscos de inovação num ambiente colaborativo é uma limitação. De modo a abordar este problema, este artigo apresenta um modelo para analisar o nível de risco em projetos de co-inovação baseado numa avaliação qualitativa, incluindo uma base quantitativa, cujo o seu desenvolvimento foi suportado na aplicação da lógica difusa. Por último, com base nos resultados obtidos da aplicação do modelo a uma rede colaborativa Portuguesa, são apresentados e discutidos os benefícios e os desafios encontrados Nowadays, enterprises in global markets have to achieve high levels of performance and competitiveness to stay “alive" . According to several authors and as frequently mentioned by reports from 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. In order to address this issue, this paper introduces an approach based on a qualitative assessment, including a quantitative basis, whose development was supported using 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 presented and discussed.