Purpose – Recent trends of technology innovation emphasize the notion of dominant designs for next-generation products. Technology-based firms, especially in biotechnology field, have to spend plenty of resources in R&D in order to identify appropriate technology opportunities for sustaining their competitive advantages. To help SMEs to discover new technological opportunities with a relative lower cost, this paper applies a keyword-based patent map approach to analyze patent database, allowing them to find the valuable opportunities. According to literature and current patent analysis, Chip substance manufacture technology is one of the most important technologies and is used as case substance. Methodology – The methodology used to find bio-technological opportunities comprise three stages. In the first stage of patent collection, we find experts to analyze the company’s current products and technologies and use patent search engine and forward citation to find related patents. Experts are requested to define several keywords for the technology and filter patents which have low frequency of these keywords. In the second of patent analysis, we use text mining to excavate the frequency of the keywords and map them by principal component analysis. The final stage of opportunity analysis is to define the vacancy on the map and list all the patents around them. Critical analysis and trend analysis are used to evaluate the value of the vacancy. Value – According to the patent analysis, we have found that chip substance manufacture technology is still in the growth stage and there are several potential technological opportunities for further exploration.
Arnold Wang, National Chung-Hsing University, Taiwan
Juite Wang, National Chung-Hsing University, Taiwan
Stream: Industrial Organization and Organization Theory
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