 Exploring technological opportunities by linking technology and products: Application of morphology analysis and text miningByungun Yoon, Inchae Park and Byoung-youl Coh Technological Forecasting and Social Change, 2014, vol. 86, issue C, 287-303 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. Keywords: Technological opportunity discovery; Morphology analysis; Text mining (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:86:y:2014:i:c:p:287-303 DOI: 10.1016/j.techfore.2013.10.013 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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