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      Evolution of the Chinese Industry-University-Research Collaborative Innovation System

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      Complexity
      Hindawi Limited

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          Abstract

          The goal of this study was to reveal the mechanism of the Chinese industry-university-research collaborative innovation (IURCI) and interactions between the elements in the system and find issues that exist in the collaborative innovation process. Based on the theoretical perspective of innovation and complexity science, we summarized the elements of the IURCI as innovation capability, research and development (R&D) configuration, and knowledge transfer and established a theoretical model to describe the evolution of the IURCI system. We used simulation technology to determine the interactions among variables and the evolution trend of the system. The results showed that the R&D configuration can promote the evolution of innovation capability and knowledge transfer and that innovation capacity is the current dominant factor in the evolution of the Chinese IURCI system and is highly positively correlated with R&D configuration. The evolutionary trend of knowledge transfer was gentler, and its contribution to the evolution of the Chinese IURCI system was less than that of R&D configuration. When innovation, R&D configuration, and knowledge transfer are relatively balanced, the collaborative innovation system can achieve high speed and stable evolution.

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          Most cited references43

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          Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

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            University–industry relationships and open innovation: Towards a research agenda

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              Entpreprenerial Universities and Technology Transfer: A Conceptual Framework for Understanding Knowledge-Based Economic Development

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                Author and article information

                Journal
                Complexity
                Complexity
                Hindawi Limited
                1076-2787
                1099-0526
                2017
                2017
                : 2017
                :
                : 1-13
                Article
                10.1155/2017/4215805
                aa22e6b9-1260-4d73-9fe7-72934db4fcea
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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