Intellectual Property Strategy in Biomedical Industry-A Patent Analysis and Market Comparison of Glucose Meter Technology
碩士 === 國立臺灣大學 === 知識管理組 === 92 === This study is to discuss the importance of intellectual property strategy in biomedical industry. By actually making a patent map and doing a patent analysis for glucose meter technology, we find a matched information for which come from patent side and market sid...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/48886265841645063566 |
| Summary: | 碩士 === 國立臺灣大學 === 知識管理組 === 92 === This study is to discuss the importance of intellectual property strategy in biomedical industry. By actually making a patent map and doing a patent analysis for glucose meter technology, we find a matched information for which come from patent side and market side.
This study is not only to show a keywords model and searching strategy of patent analysis but also generate a patent database for glucose meter technology. From comparing the real market situation such like Feature-Advantage-Benefit to customer and market share for major players, we can find a matched situation of information between market side and patent side. It indicates a critical role for IP strategy and patent analysis in biomedical industry. The model of the searching structure and the acquired database provides a reliable and useful information base in predicting real market situation.
This study also demonstrate a series of patent maps by patent activity and patent quality, it can be helped to make a company policy of intellectual property management. The core technology patents is also derived by cited patents and the application of them could be used in more advanced development in new products. The result of this study could be applied to a real market competition forecast.
The patent database created by our keywords model provides an effective information resource. With matched of real market situation, the information analyzed from the database could be used in prediction of real market competition.
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