Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining

Byungun Yoon, Inchae Park, Byoung youl Coh

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

Abstract

The technological opportunity discovery (TOD) can be divided into two types: anticipating new technology and applying existing technology. The latter is useful for small and medium companies, which have weak technology forecasting capability. Thus, this research aims to suggest the methodology for the TOD based on existing technology by using morphology analysis and text mining. The extracted results of TOD are classified into three categories based on the types of product - existing, applied, and heterogeneous product. To illustrate the process and validate the utility of application, LED heat dissipation technology and LED lamps are selected as the technology and product for the illustration. The method contributes to suggest a semi-automated normative method for technology forecasting by combining morphology analysis and text mining.

Original languageEnglish
Pages (from-to)287-303
Number of pages17
JournalTechnological Forecasting and Social Change
Volume86
DOIs
StatePublished - Jul 2014

Keywords

  • Morphology analysis
  • Technological opportunity discovery
  • Text mining

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