Abstract
Abstract Currently, 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 context of a collaborative ecosystem. At last, it is discussed the benefits, and challenges found on experimental results from a Portuguese co-innovation network.
Highlights
Innovation is the main source of economic growth and new employment opportunities, providing potential benefits to society and the economy
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
This study focuses on risk assessment inherent in an innovation project in the metal industry, in order to reduce difficulties in the innovation process at the design stage level in SMEs
Summary
Innovation is the main source of economic growth and new employment opportunities, providing potential benefits to society and the economy. Innovation network members “divide the value chain of innovation” into a variety of tasks where the assignment of these tasks to each partner is based on identifying the resources that have the lowest costs and the best skills and / or access to specific knowledge in order to maximize gains [8, 9] It is reported by most small and mediumsized enterprises (SMEs) managers that the development of innovation processes in the context of a collaborative environment introduces additional risks. This ability derives from an inferred response of personal knowledge that is inaccurate or incomplete [14] In this paper, it will be discussed the advantages of applying fuzzy logic in the evaluation of risks with negative impact, that is, events of potential threat to the success of an innovation project in a collaborative context.
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