A systematic approach for identifying technology opportunities: Keyword-based morphology analysis

Abstract

Morphology analysis (MA), a representative qualitative technique in technology forecasting (TF), has been utilized to identify technology opportunities. However, conventional MA is subject to limitations in that there is no scientific or systematic way in establishing the morphology of technology, and it is difficult to prioritize the alternatives. As a remedy, we propose a keyword-based MA that is supported by a systematic procedure and quantitative data for concluding the morphology of technology. To this end, a technology dictionary is developed by factor analysis for keywords that are extracted from patent documents through text mining. Then, the morphology of patents is identified based on the technology dictionary. By listing the occupied configurations of collected patents, the unoccupied territory of configurations are suggested as technology opportunities. Moreover, the priority of alternatives is concluded, and similar and substitutive technologies can be analyzed for the purpose of extending morphology structure. Technical and managerial strategy for in-house R&D or cross-licensing can also be supported by examining the morphology portfolio of technologies. A thin film transistor–liquid crystal display (TFT-LCD) case is exemplified to illustrate the detailed procedure of this brand-new MA.