Technology and knowledge document cluster analysis for enterprise R&D strategic planning

Fu Chiang Hsu*, Amy J.C. Trappey, Charles V. Trappey, Jiang Liang Hou, Shang-Jyh Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Through technology and knowledge document analysis, companies can realise the condition of specified technology development and the potential competitors in the market. As patents provide exclusive right and legal protection for patent inventors, patents play an important role in the development of technology. This paper presents the process of patent knowledge extraction and methodologies of patent analysis to improve the efficiency of patent analysis. Furthermore, the methodologies proposed in this paper include patent map analysis, patent technology clustering, patent document clustering and technology maturity measurement. Through these methodologies, companies can gain rich information and perform better in patent management. Moreover, the strategic plans of R&D can also be determined using the methodologies proposed in this paper.

Original languageEnglish
Pages (from-to)336-353
Number of pages18
JournalInternational Journal of Technology Management
Volume36
Issue number4
DOIs
StatePublished - 31 Jul 2006

Keywords

  • Knowledge document clustering
  • Patent analysis
  • Technology clustering

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