Automated identification of technologically similar organizations

被引:6
作者
Breitzman, A [1 ]
机构
[1] 1790 Analyt LLC, E Gate Ctr, Mt Laurel, NJ 08054 USA
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2005年 / 56卷 / 10期
关键词
D O I
10.1002/asi.20191
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article introduces and validates a method for identifying technologically similar organizations, industries, or regions by applying the techniques from information science for term similarity to international patent classifications. Several applications of the method are explored, including identifying hidden competitive threats, finding potential acquisition targets, locating university expertise within a technology, identifying competitor strategy shifts, and more. One advantage of the method is that it is size invariant, meaning, for example, that it is possible for a huge corporation to identify smaller firms in its space before they become significant competitors. Another advantage is that technologically similar organizations can be identified on a large scale without any particular knowledge of the technology or business of either source organizations or target organizations.
引用
收藏
页码:1015 / 1023
页数:9
相关论文
共 11 条
[1]  
[Anonymous], [No title captured], Patent No. [US6175824, 6175824]
[2]  
BREITZMAN A, 2003, LEM MIT PROGR WORKSH
[3]  
Breitzman AF, 2002, J INFORM SCI, V28, P187, DOI 10.1177/016555150202800302
[4]  
*CHI RES INC, 2003, TECH LIN DAT
[5]  
FRAKES W, 1992, INFORMATION RETRIEVA
[6]   The changing composition of innovative activity in the US - a portrait based on patent analysis [J].
Hicks, D ;
Breitzman, T ;
Olivastro, D ;
Hamilton, K .
RESEARCH POLICY, 2001, 30 (04) :681-703
[7]  
HICKS D, 2004, SMALL FIRMS TECHNOLO
[8]  
Lev B., 2001, Intangibles: Management, measurement, and reporting
[9]  
NARIN F, 2001, IDEAS ASSETS INVESTI, P293
[10]  
NARIN F, 2000, KNOWLEDGE MANAGEMENT, V3, P155