|
|
|
| A Method for Measuring the Relevance Between Patents and Enterprises |
| Gao Yingfan1, Wang Zheng2, Hu Xiaorong1, Yao Changqing1, Liang Na1 |
1.Institute of Scientific and Technical Information of China, Beijing 100038
2.National Science Library, Chinese Academy of Sciences, Beijing 100190 |
|
|
|
|
Abstract With the number of patent applications in China growing each year, some of these applications are becoming increasingly chaotic, as evident from the actions of certain enterprises in declaring or purchasing patents indiscriminately in order to win policy awards under the state’s support and encouragement policies for patent applications. This can result in patents that have no positive impact on corporate development or profit improvement, and that are not related to the company's main products. In this context, patent and enterprise relevance measurement research has become a valuable research topic. In considering the subjective evaluation methods of experts in the field of patent and enterprise relevance judgment, this study proposes a more valuable, innovative application method and provides an alternative to the traditional subjective evaluation methods. Information theory and deep learning methods are used to identify the index of patents. Additionally, the degree to which patent index words are mapped in corporate texts is measured in order to achieve an automatic quantification of patent and enterprise relevance. This study conducts an overall evaluation of the relevance of patents and enterprises in the environmental protection industry. Among the 4325 patents in the environmental protection field, there are 4065 consistent results and 260 inconsistent results, or an accuracy rate of 94%. The feasibility of the method is thus verified.
|
|
Received: 22 May 2019
|
|
|
|
1 GrilichesZ. Patent statistics as economic indicators: A survey[J]. Journal of Economic Literature, 1990, 28(4): 1661-1707.
2 ErnstH. Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level[J]. Research Policy, 2001, 30(1): 143-157.
3 ReitzigM. Strategic management of intellectual property[J]. MIT Sloan Management Review, 2004, 45(3): 35-40.
4 AnandarajanA, ChinC L, ChiH Y, et al. The effect of innovative activity on firm performance: The experience of Taiwan[J]. Advances in Accounting Incorporating Advances in International Accounting, 2007, 23: 1-30.
5 唐恒, 金志成. 我国医药制造上市公司专利水平与公司业绩协整分析[J]. 科技管理研究, 2012, 32(8): 180-183, 188.
6 赵远亮, 周寄中, 侯亮, 等. 医药企业知识产权与经营绩效的关联性研究[J]. 科研管理, 2009, 30(4): 175-183.
7 苑泽明, 严鸿雁, 吕素敏. 中国高新技术企业专利权对未来经营绩效影响的实证研究[J]. 科学学与科学技术管理, 2010, 31(6): 166-170.
8 ChangK C, ChenD Z, HuangM H. The relationships between the patent performance and corporation performance[J]. Journal of Informetrics, 2012, 6(1): 131-139.
9 ChenY S, ChangK C. The relationship between a firm’s patent quality and its market value—The case of US pharmaceutical industry[J]. Technological Forecasting and Social Change, 2010, 77(1): 20-33.
10 ArtzK W, NormanP M, HatfieldD E, et al. A longitudinal study of the impact of R&D,patents,and product innovation on firm performance[J]. Journal of Product Innovation Management, 2010, 27(5): 725-740.
11 李睿, 张谙宁. 论专利法视域下专利引文的情报学意义[J]. 情报工程, 2016, 2(5): 8-17.
12 李忆, 马莉, 苑贤德. 企业专利数量、知识离散度与绩效的关系——基于高科技上市公司的实证研究[J]. 情报杂志, 2014, 33(2): 194-200.
13 康婧, 谢怡, 宋佳颖, 等. 专利信息系统分析与研究[J]. 情报工程, 2017, 3(5): 112-123. |
|
|
|
