Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5036930 | Technological Forecasting and Social Change | 2017 | 11 Pages |
Abstract
There is a gap between technological opportunities and R&D planning because opportunity information is too broadly defined. Thus, we suggest a method of transforming such technological opportunities into a customized and detailed R&D plan. We identify key information for R&D planning, extract such information from bibliometric data by chunk-based mining, and convert it to a usable form for R&D planning. A systematic analysis of normalized performance gaps, performance structure, R&D feasibility and technological alternatives identified important and feasible target technological performance metrics as well as R&D solutions. Our method can increase the practical value of technological opportunities while reducing the efforts required of experts.
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Authors
Jeongjin Lee, Changseok Kim, Juneseuk Shin,