来源类型 | Research Reports
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规范类型 | 报告
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来源ID | RR-629-OSD
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| Identification and Analysis of Technology Emergence Using Patent Classification |
| Christopher Eusebi; Richard Silberglitt
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发表日期 | 2014
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出版年 | 2014
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页码 | 12
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语种 | 英语
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结论 |
U.S. Patent and Trademark Office Data Can Guide Analysis- A rapid increase in patent applications filed related to a specific classification can represent its dissemination into new and often unrelated technological areas. This rapid increase in patent application filing is a signal of technology emergence and industry acceptance.
S-Curves Indicate Technology Emergence- S-curves of patent applications and issued patents often appear when classifications and subclassifications form an increasing number of linkages to other classifications and subclassifications.
- Through analysis of the emergence s-curve, by categorizing patents in terms of their distance from the year of emergence, we define a potential value metric for technology transfer staff in government, nonprofit institutions, or private-sector firms seeking to maximize the value of their patent portfolios or their chances of winning in the event of litigation.
- The same analysis of the position of patents in time with respect to the year of emergence provides a means to analyze patent portfolios of individuals or organizations with respect to whether they are "leading" or "following" the commercial interest in the field.
- Comparison of the tendency of organizations to be "leading" or "following," in specific areas in which they patent provides a metric of the novelty of their work in those areas.
- Analysis of the spread of technology into new areas provides a means of identifying areas into which technologies may be most likely to move in the future.
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主题 | Emerging Technologies
; Mathematics
; Nanotechnology
; Science
; Technology
; and Innovation Policy
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URL | https://www.rand.org/pubs/research_reports/RR629.html
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来源智库 | RAND Corporation (United States)
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资源类型 | 智库出版物
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条目标识符 | http://119.78.100.153/handle/2XGU8XDN/107746
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推荐引用方式 GB/T 7714 |
Christopher Eusebi,Richard Silberglitt. Identification and Analysis of Technology Emergence Using Patent Classification. 2014.
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