Patent Cooperation Network Research Articles

Impact of different patent cooperation network models on innovation performance of technology-based SMEs

ABSTRACTPatent cooperation network, an important way for technology-based SMEs to enhance innovation performance, has become a research hotspot in recent years. Different types of patent cooperation network models and different degree of SMEs embedding them will lead to different effects on enterprise innovation performance improvement. This research selected the ICT industry and the pharmaceutical industry technology-based SMEs with rich patent output as research objects. Based on binary structure perspective of network breadth and depth, the patent cooperation networks are divided into four types: ‘strong exploration’, ‘weak exploration’, ‘strong utilisation’ and ‘weak utilisation’. Through the multi-selection model and the negative binomial regression model, the general factors in the selection of patent cooperation network models and the impact of different models on enterprise innovation performance are analysed. This research provides path breakthroughs and development proposals for technology-based SMEs to access innovative resources and enhance their innovation capabilities on patent cooperation networks.

Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry

Based on integrating the fundamental attribute and the unique property of the collaborative innovation network, this paper establishes a collaborative innovation network model of Artificial Intelligence industry through depicting external stimulus conversion progresses and behaviors of network heterogeneous agents. Heterogeneous agents are the network elements of the model which regards the stimulus response as the evolutionary mechanism. Tencent is one of the largest Internet integrated service providers and one of the Internet companies with the largest number of service users in China, which has also set its sights on the development of the AI industry. Taking Tencent’s patent cooperation network in the field of Artificial Intelligence as an example and using system simulation method, we analyze the evolutionary law of the collaborative innovation network topology structure, the coupling evolution phenomenon of the knowledge and the network topology structure, distinct roles that agents play in the network, and relationship between the agents’ openness and the knowledge flow efficiency. We find the phenomenon of small world emergence more than once through the evolution of collaborative innovation network, whose degrees and reasons are also distinctive. There exists coupling evolution between the technological knowledge and the network structure. The collaborative innovation network is always oriented towards competitive industries. The agents’ openness has an essential influence on the lifting range of the technological knowledge. Strengthening the main position of enterprises in AI technological innovation and enhancing the degree of openness among heterogeneous agents are a powerful guarantee for improving the performance of collaborative innovation.

An IUR evolutionary game model on the patent cooperate of Shandong China

Organizations of industries and university & research institutes cooperate to meet their respective needs based on social contacts, trust and share complementary resources. From the perspective of complex network together with the patent data of Shandong province in China, a novel evolutionary game model on patent cooperation network is presented. Two sides in the game model are industries and universities & research institutes respectively. The cooperation is represented by a connection when a new patent is developed together by the two sides. The optimal strategy of the evolutionary game model is quantified by the average positive cooperation probability p̄ and the average payoff Ū. The feasibility of this game model is simulated on the parameters such as the knowledge spillover, the punishment, the development cost and the distribution coefficient of the benefit. The numerical simulations show that the cooperative behaviors are affected by the variation of parameters. The knowledge spillover displays different behaviors when the punishment is larger than the development cost or less than it. Those results indicate that reasonable punishment would improve the positive cooperation. The appropriate punishment will be useful to enhance the big degree nodes positively cooperate with industries and universities & research institutes. And an equitable plan for the distribution of cooperative profits is half-and-half distribution strategy for the two sides in game.

Research on collaborative innovation in traditional Chinese medicine of China based on patent cooperation network

In the situation of global completion, collaborative innovation is becoming increasingly important because its advantage in risk avoiding and innovation efficiency. In order to explore the model of collaborative innovation and its evolution in traditional Chinese medicine of China, the cooperation in traditional Chinese medicine patents of China from 1985 to 2013 has been analyzed by using the method of scientometrics and social network analysis. It is proved that, though the number of grated cooperative patents has increased sharply during the last thirty years, the degree of cooperation innovation in traditional Chinese medicine of China is still not high. Moreover, in spite of the individual subject' s leading role in the past domestic collaborative innovation in traditional Chinese medicine of China, the institutions have been more and more powerful and achieved great improvement. At last, core institutions, represented by universities have played an important role in the collaborative innovation of domestic institutions, because they are key links between many institutions and promote the transferring and diffusion of knowledge.

Empirical Analysis on Evolution and Small World Effect of Chinese Enterprise-Enterprise Patent Cooperation Network: From the Perspective of Open Innovation

The patent cooperation network which enterprises join is a very important network platform for enterprises’ open innovation. However, very limited work has been done to empirically investigate the dynamic change process of the network in China. To address this issue, this paper analyzes dynamic change process of cooperation network of enterprises and the small-world effect of the biggest subgroup according to the data of 36731 items of cooperative patents between enterprises from 1985 to 2010 published by the State Intellectual Property Office of China. A conclusion can be drawn from the analysis results that the biggest subgroup has the characteristics of small-world effect, but the overall network structure also has some defects, which limit the development of open innovation. For the first time, suggestions on open innovation strategies are put forward to provide theoretical reference for both the government and enterprises.