Automated identification of technologically similar organizations

Anthony Breitzman

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1015-1023
Number of pages9
JournalJournal of the American Society for Information Science and Technology
Volume56
Issue number10
DOIs
StatePublished - Aug 1 2005

Fingerprint

Industry
Information science
information science
patent
corporation
expertise
threat
firm
industry
university
Competitors
Small firms
Threat
Patents
Expertise

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

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Automated identification of technologically similar organizations. / Breitzman, Anthony.

In: Journal of the American Society for Information Science and Technology, Vol. 56, No. 10, 01.08.2005, p. 1015-1023.

Research output: Contribution to journalArticle

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