Title :
IPC Co-occurrence Based Technological Trends Discovery
Author :
Jie, Gui ; Zhaofeng, Zhang ; Mengyang, Sun ; Xiaoping, Lei
Author_Institution :
Inf. Technol. Supporting Centre, Inst. of Sci. & Tech. Inf. of China, Beijing, China
Abstract :
Technological trends discovery has been paid attention seriously in recent years in technological innovation management because of great demands on R&D decision making from the governments and various organizations. In this paper, the framework integrating with technology coupling, IPC co-occurrence, complex networks and visualization would be developed. The paper first introduces the technology coupling theory which is developed by Fleming and can be used to measure the utility of patent. Then the application of IPC co-occurrence and complex network base on technology coupling theory is designed. At last, we make the empirical study on hybrid electric vehicle field. The empirical study identifies that our framework helps to discover and mine the technological trends at the company level.
Keywords :
innovation management; patents; technology management; IPC cooccurrence; R&D decision making; hybrid electric vehicle field; international patent classification; technological innovation management; technological trends discovery; technology coupling theory; comlex network; ipc co-occurrence; patent analysis; technological trends discovery; technology coupling;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-8829-2
DOI :
10.1109/ICIII.2010.591