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Cited 87 time in webofscience Cited 100 time in scopus
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Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining

Authors
Yoon, ByungunPark, InchaeCoh, Byoung-youl
Issue Date
Jul-2014
Publisher
ELSEVIER SCIENCE INC
Keywords
Technological opportunity discovery; Morphology analysis; Text mining
Citation
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v.86, pp 287 - 303
Pages
17
Indexed
SSCI
SCOPUS
Journal Title
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume
86
Start Page
287
End Page
303
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/18233
DOI
10.1016/j.techfore.2013.10.013
ISSN
0040-1625
1873-5509
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. (C) 2013 Elsevier Inc. All rights reserved.
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