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- A fuzzy reasoning approach to assess innovation risk in ecosystemsPublication . Abreu, António; Martins, José Moleiro; Calado, João Manuel FerreiraCurrently, companies to be competitive must achieve high rates of innovation and respond quickly to market needs. According to a number of managers and researches innovation is crucial for companies to stay “alive." Taking into account several reports, the development of co-innovation networks based on a collaborative environment is the best strategy to support innovation projects. However, the absence of mechanisms to detect and even anticipate potential risks of innovation based on a collaborative approach is an obstacle to the proliferation of this way of working. To address this issue, this paper discusses an approach based on fuzzy reasoning for analyzing the level of risk in co-innovation projects. It is discussed how this approach can be applied to co-innovation projects within the contexto of a collaborative ecosystem. At last, it is discussed the benefits, and challenges found on experimental results from a Portuguese co-innovation network.
- Risk model to support the governance of collaborative ecosystemsPublication . Abreu, António; Calado, João Manuel FerreiraDue markets turmoil, the development of tools that allow risk analysis in organizations is increasingly critical in order to ensure the survival of organizations. Depending on the type of risk to be identified, it is necessary to use appropriate techniques that allow a diagnosis as concrete as possible, to timely detect risks and thus develop management policies that minimize their impact. In this paper is discussed how through the application of social network theory is possible to identify and quantify existing or potential hazards for example at the level of communication, management and sharing of knowledge among several actors of an organization in a collaborative context.
- 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.
- 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.