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博碩士論文 etd-0723110-120954 詳細資訊
Title page for etd-0723110-120954
論文名稱
Title
IC設計公司相對專利優勢及研發槓桿之研究
A study on the Revealed Patent Advantage and the R&D productivity of IC Design companies
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
104
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2010-07-21
繳交日期
Date of Submission
2010-07-23
關鍵字
Keywords
IC設計、集群分析、專利、技術發展、主成分分析、技術定位
Technological Position, Cluster Analysis, Principal Component Analysis, IC design, Patent
統計
Statistics
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中文摘要
企業在專利的佈局,影響的不只是公司未來的發展,甚至是同業進入的障礙,因此,值得我們進一步去規劃專利發展的策略與定位。本研究希望透過專利分析,進一步做IC設計公司的技術定位,透過集群結果,了解組內與組間差異,以期能為個別IC設計公司提供專利佈局的策略。
本研究所挑選的二十家全球IC設計公司,為近五年相當穩定在IC設計設產業的公司,透過Case 1的設定,主要是想了解IC設計公司的技術定位及發展軌跡;而Case 2的設定,可以了解公司的技術定位,也可視公司在產業定位。
Case1透過集群分析分四群,可分為集群一(命名為Specialist II、集群二(命名為Strong Generalist)、集群三(命名為Specialist I)及集群四(命名為WeakGeneralist),進一步觀察技術發展軌跡,技術佈局策略有改變的公司,從集群一,往集群二方向發展,其技術佈局策略的方向一致。其他公司的技術發展路徑,則維持在同群組的佈局。
Case2主要分成四集群:集群一(命名為Weak Generalist)、集群二(命名為Strong Generalist)、集群三(命名為Specialist I)及集群四(命名為Specialist III)。
財務效果方面,在集群內有,除了集群四外,大致上具有同質性。而在集群間的表現,以集群內的中位數及樣本相關數值,作成財務指標趨勢圖來觀察,Case2之二十家公司分群表現,在總資產報酬率與股價淨值比率,尚具異質性。而Case1的財務效果,也以總資產報酬率及股價淨值比率較具異質性,其餘財務指標走勢呈現部分穩定,部分波動之不確定情況,透過相關係數矩陣來看,發現研發槓桿比率與其他財務指標呈現顯著正相關的情形,似乎可用研發槓桿比率做為毛利率與總資產報酬率的代理變數,走勢與股價淨值比率一致。
Abstract
The Strategies of the firms in Patent are not only about the future, but also forming the barrier for competitor. For the sake, we should develop the patent strategies and technological position.This study goes to the discussion of technological position by the patent multivariate analysis, and suggest the patent strategy by the difference within and between the groups which were clustered from IC design companies.
This study selects twenty gobal IC design companies,which are always on the top25 of the industry.In case1 ,we wonder figure out the technological postion and the path of technology shift.In case2,we can recognize the technological position as industrial position.
In case 1, we got four clusters by cluster analysis.Cluster 1 is called SpecialistII,and cluster2 is called Strong Generalist, and cluster 3 is called Specialist I,and cluster 4 is called Weak Generalist. For further observation, the firms with technology shift will shift from cluster 1 to cluster 2 in the same direction.Others still maintain the same strategies in their clusters. In case 2 , we also got four clusters by the analysis. Cluster 1 is called Weak Generalist ,and cluster 2 is called Strong Generalist, and cluster 3 is called Specialist I,and cluster 4 is called Specialist III.As financial results , we got homogeneity within a cluster except cluster 4. Performance between clusters, we made and observed the line chart of trend in the selected financial ratio and we used the median of samples within a cluster. In case 2,it seems heterogeneous in ROA and Price-to-book ratio in the chart.In case1,it is also heterogeneous in ROA and price-to-book ratio.It’s significant and positively correlated in R&D productivity(GrossMargin-to-R&D ratio) between others by the correlation coefficient matrix.It seems to be the proxy to the other financial ratio.
目次 Table of Contents
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究架構 4
第四節 研究流程 5
第二章 文獻探討 6
第一節 專利相關文獻 6
第二節 技術定位方法 9
第三章 研究方法 19
第一節 研究架構 19
第二節 研究對象與範圍 19
第三節 專利分析 22
第四節 主成分分析 23
第五節 集群分析 24
第四章 IC設計產業 27
第一節 IC產業概況 27
第二節 IC設計產業 32
第五章 技術定位分析 36
第一節 專利分析 36
第二節 相對優勢指標(RPA)建立 39
第三節 財務資料整理 43
第四節 主成分分析 44
第五節 集群分析 50
第六節 集群間、集群內財務情形 60
第六章 結論與建議 86
第一節 研究結論 86
第二節 研究建議 88
參考文獻 89
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