Patent Strategies and Patent Portfolio Design in High-Tech Industry:An Empirical Study on Semiconductor Package Manufacturers

• Main Author: 楊格權
• Other Authors: 劉尚志
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/34166016170154787208

碩士 === 國立交通大學 === 管理學院碩士在職專班科技管理組 === 93 === According to statistics of the United States Patent and Trademark Office (USPTO), the number of patents that Taiwan applied for in U.S.A. last year maintained the fourth place of the whole world once again. However, Taiwan gained profits from the patents far less than the countries got which ranked lower, resulted from “win with quantity” patents instead of “surmount with quality” patent portfolio. Since the 1980s a lot of economists have conducted researches on indexes for weighing the quality of patents, as those designed by Organization for Economic Co-operation and Development (OECD) and US CHI Research. But the patent indexes can merely give statistics on a group of patents. Manufacturers are unable to learn clearly whether their own products or technologies infringe others' patents. To Taiwanese manufacturers, which focus mainly on OEM or ODM manufacturing model and play the role of followers in technology, it has become practical and urgent in operation to understand which patents have great influence on their own products, and then adopt corresponding steps. This research reviews the definition of patent’s rating developed by Dr. Shang-Jyh Liu, and adopts the text mining approach. It aims at a certain technological field to locate the patent group which has great impact legally to a target company, and build up a patent portfolio that truly exerts influence on the company's products development, in order to offer the reference basis of commercial strategy in the future. This research method is to take a certain product of a semiconductor assembly company as the target. Based on specialists’ opinions, it first divides the technologies for products into several categories such as heatspreading, electricity, etc. Next text mining tools are utilized to analyze those categories and generate representative key words. And a comparative analysis on the target companies’ competitor’s patents is carried out to locate patents with close similarities and the patents are sorted based on the patents’ quality. Finally these patents are examined by expertees so as to determine which patents really impact legally the product development of the target company. Utilization of the patent portfolio design formed by these patents can provide this semiconductor assembly company not only with reference on technological avoidance and authorization, but also with a basis of future commercial strategy.