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- W2123118002 abstract "In the last decades innovation has been regarded by many policy makers, economists, engineers and business managers as a key element to obtain competitive advantage. Developed countries target innovation to maintain their competitiveness and high standard of living. On the other hand,catching up countries look for innovation as a main source to alleviate poverty and provide new value added jobs and new products to the global markets. But innovation requires knowledge and continuous learning, which in many occasions for companies, specially for SME’s (both in developed and catching- up countries) are difficult to achieve by themselves in a systematic way. One very important trend to enable new knowledge creation and transfer in and to SME’s is the development of collaborative environments and networks to increase their innovation capabilities as a single unit but also the capabilities of the network as a whole through collective learning. As a consequence, different models have emerged from different disciplines to satisfy the need understand, promote, enable, measure and improve the networking and learning processes among different entities to spur innovation. The objective this paper is twofold.. 1) present and classify ten identified networking models proposed by different disciplines into two main types and analyse their main strengths and weaknesses and 2) to propose a taxonomy to classify them identifying their main differences and similarities." @default.
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- W2123118002 date "2007-06-09" @default.
- W2123118002 modified "2023-09-23" @default.
- W2123118002 title "Towards a Taxonomy for Networking Models For Innovation" @default.
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- W2123118002 doi "https://doi.org/10.1007/978-0-387-38269-2_6" @default.
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