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| Measurement of Collaborate Innovation Risk in Industrial Clusters |
| Lv Pu,Han Meishu |
| School of Economic and Management,Dalian Jiaotong University, Dalian 116028,China |
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Abstract Collaborate innovation has become an important form of technological innovation for enterprises in the industrial clusters. However, it resulting in a huge risk due to the early stage of technology innovation activities, the late output is not determined, and so on. Therefore, how to accurately measure the risk of cooperate innovation in industrial clusters has very important significance to the project research and development decision and the risk control in the implementation. In view of this, the existing technology innovation evaluation index system and measurement method is improved , and put forward a set of method system of collaborate innovation risk measurement for the enterprise in industrial clusters. Firstly, according to the collaborate innovation characteristics of the enterprise in industrial clusters, construct the risk index system, through a nonlinear programming model for optimal solution method, put the combination weighting into the extensional matter-element theory, construct the extensional matter-element model with combination weighting, and measure the risk of collaborate innovation in industrial clusters. Finally, this method is used to make an empirical study on the rail transportation equipment manufacturing industry cluster.
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Received: 25 November 2016
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Corresponding Authors:
Lv Pu
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