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系統識別號 U0026-0812200913523535
論文名稱(中文) 高科技產業對創新研發投資決策之研究—以全球前十五大LED公司為例
論文名稱(英文) A study on High-Tech industry innovation and R&D investment decision making—the empirical evidence of top 15 LED companies
校院名稱 成功大學
系所名稱(中) 企業管理學系專班
系所名稱(英) Department of Business Administration (on the job class)
學年度 95
學期 2
出版年 96
研究生(中文) 李茂彰
研究生(英文) Mau Jang
學號 r4794105
學位類別 碩士
語文別 中文
論文頁數 65頁
口試委員 口試委員-張紹基
指導教授-吳學良
口試委員-陳忠仁
中文關鍵字 實質選擇權  負二項迴歸模型  LED  發光二極體 
英文關鍵字 Negative Binomial Regression Model  LED  Light Emitting Diode  Real Options 
學科別分類
中文摘要 研發對於企業而言,一直以來都是具風險也無可避免的,而在研發階段的初期,如何在情勢未明的狀況下篩選具潛力之技術領域並利用有限的資源投入研發,就成為企業進行投資決策時所面臨的難題。因此,本研究利用實質選擇權的觀念來檢視企業對於新技術領域的投資決策模式。
我們以全球LED產業前十五大公司1998至2006年之專利資料作為分析樣本,並利用負二項迴歸模型來探討其技術的機會範圍及企業先前經驗軌跡二個構面對於新技術領域後續研發投入的影響。
實證的結果顯示,先前經驗軌跡中之累積的投資經驗對於企業投資意向的影響最大,其次為機會範圍中的潛在應用。
英文摘要 Says regarding the enterprise, research and evelopment has the inevitable risk since continuously. In the initial period of research and development, when enterprise makes an investment decision, how to sieve the area of echnology which has the potential and how to invest it by using imited resource of every enterprise becomes the difficult problem which every enterprise must face.Thus in this paper, we use real options reasoning to examine innovation investment decisions that take a firm into new technological areas.
We collect patent data of top 15 LED companies for the period 1998–2006, and employ negative binomial regression model to identify two constructs—scope of opportunity, and prior path of experience—which have an influence on firms' propensity to invest in new R&D options.
The empirical results show that cumulate investment experience in the construct of prior experience path has the greatest influence on the likelihood of taking out an option, followed by the potential application in the construct of opportunity scope.
論文目次 目錄
中文摘要 I
ABSTRACT II
誌謝 III
目錄 V
表目錄 VI
圖目錄 VII
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究範圍 3
第三節 論文架構及流程圖 4
第二章 文獻探討 6
第一節 針對研發投資的決策方式 6
第二節 創新與專利 17
第三節 LED及其產業介紹 29
第四節 研究假設 35
第三章 研究方法 39
第一節 研究架構 39
第二節 操作性定義 41
第三節 研究對象與資料蒐集 43
第四節 負二項迴歸分析方法 46
第四章 實證分析 49
第一節 基本統計量 49
第二節 模型建構 51
第五章 結論與建議 56
第一節 研究結論 56
第二節 管理意涵 57
第三節 研究限制及建議 58
參考文獻 59
一、 中文部份: 59
二、 英文部份: 60
參考文獻 參考文獻
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