globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR629
报告号: RR-629-OSD
报告题名:
Identification and Analysis of Technology Emergence Using Patent Classification
作者: Christopher Eusebi; Richard Silberglitt
出版者: RAND Corporation
出版年: 2014
发表日期: 2014
总页数: 12
国家: 美国
语种: 英语
英文关键词: Nanotechnology ; Emerging Technologies ; Mathematics ; Science, Technology and Innovation Policy
英文摘要: This report describes a method for detecting, characterizing, and analyzing the development of commercial interest in technology areas, which we call technology emergence. The U.S. Patent and Trademark Office's formal categorization system has been used to classify literally millions of technical documents. The classification is not merely a single technical descriptor, but a categorization of all the areas of science and technology advanced in the document as recognized by the patent examiner. A rapid increase in patent applications filed related to a specific classification thus 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. By placing their patent portfolios on s-curves, a patenting organization or sponsor can learn: (1) the level of interest in the broader patenting community in the technology areas in which the organization (and its staff) are patenting; and (2) how early or late their specific patents are with respect to when the technology area first emerged.
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR600/RR629/RAND_RR629.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/28125
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

Files in This Item:
File Name/ File Size Content Type Version Access License
RAND_RR629.pdf(796KB)研究报告--开放获取View Download

Recommended Citation:
Christopher Eusebi,Richard Silberglitt. Identification and Analysis of Technology Emergence Using Patent Classification. 2014-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Christopher Eusebi]'s Articles
[Richard Silberglitt]'s Articles
百度学术
Similar articles in Baidu Scholar
[Christopher Eusebi]'s Articles
[Richard Silberglitt]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Christopher Eusebi]‘s Articles
[Richard Silberglitt]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: RAND_RR629.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.