26th International Association for Management of Technology Conference - IAMOT 2017

China has already been ranked number one in the number of patent applications in the world, however the rate of patent industrialization in China is still less than 10%. This research firstly constructs and analyzes the theoretical relevance between the two concepts of industry patent propensity and patent industrialization applicability qualitatively, thus providing a new research path towards a quantitative evaluation of patent industrialization applicability and stimulating effective implementation of patent from industrial perspective. Then, we select 829 items of Chinese National Prize for Progress in Science and Technology awarded from 2010 to 2014 as research samples of technology industrialization. The hotspots of patent technology industrialization fields and patent propensity of 36 different industries in China are drawn, traditional manufacture industries are with the highest patent industrialization applicability index while Basic materials chemistry, Textile and paper Machines, Organic fine chemistry, Pharmaceuticals, Medical technology and Semiconductors are with the lowest index. We calculate the interrelationships of the three objects in patent industrialization based on the modified triple helix model. The mutual information entropy of three different collaboration models were got and analyzed, the collaborations between research institutes and enterprises are more effective in patent industrialization in China. Finally, k-means cluster algorithm is used to evaluate and classify the applicability of patent in various industries which reveals the whole panorama of patent industrialization in China and helps patent assignees to select appropriate industrial domains for patent industrialization. This evaluation process provides an approach to stimulate the patent industrialization and to ensure a realistic-based innovation policy-making in China.