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研究生(外文):Min-fen Tu
論文名稱(外文):A Chaotic View on Industrial and Technological Change
指導教授(外文):Chang-Chung LiShih-Chang Hung
外文關鍵詞:Chaos TheoryLyapunov exponentindustry and technological changepatent
  • 被引用被引用:16
  • 點閱點閱:542
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  • 下載下載:166
  • 收藏至我的研究室書目清單書目收藏:4
In this paper, we apply chaos theory to study the nonlinear nature of industrial and technological change. Methodologically, we focus on the analyses of three industries - software, semiconductor and biotechnology - with the use of Lyapunov exponent as an indicator to the measurement of chaos. Results show that the three industries were developed to promote the conditions of feedback loops, endogenous change, path dependence and role of institutions, all centered on the edge of chaos. This kind of observation is particularly applied to industry growth following a gale of creative destruction. Implications for theory, research and practicing managers are drawn out.
中文摘要 I
英文摘要 II
目錄 IV
圖目錄 VI
表目錄 VII
第一章、導論 1
第一節 研究動機 1
第二節 研究目的 2
第三節 論文組織架構 3
第二章、文獻回顧 5
第一節 何謂混沌理論? 5
第二節 混沌理論應用至策略 11
第三節 混沌理論應用至產業及技術發展 13
第三章ヽ研究方法 16
第一節 技術演化之代理指標(專利權申請數目) 16
第二節 資料來源 18
第三節 李雅普諾夫指數分析方式原理解析 20
第四章ヽ分析結果 23
第一節 實證結果說明 23
第二節 關鍵創新事件的技術演化 30
一、全球軟體產業 30
二、半導體產業 32
三、生物科技產業 36
第五章ヽ結論與建議 38
參考文獻 41
附錄一、全球軟體產業 46
附錄二、半導體產業 50
附錄三、生物科技產業 54
圖 1 本研究的流程概念圖 4
圖 2 蝴蝶效應(摘錄自LORENZ, 1963) 9
圖 3 混沌理論與產業及技術改變的相關性隱喻 14
圖 4 SOFTWARE之專利權申請數目趨勢圖(1981-2000) 23
圖 5 SEMICONDUCTOR之專利權申請數目趨勢圖(1981-2000) 24
圖 6 DNA之專利權申請數目趨勢圖(1981-2000) 24
表 1 混沌理論的提出學者與論點說明 6
表 2 混沌理論與對產業與技術發展系統之延伸意涵的對照 15
表 3 全球軟體產業分析結果彙整表 26
表 4 半導體產業分析結果彙整表 27
表 5 生物科技產業分析結果彙整表 28
表 6 研究對象的分析結果 29
表 7 全球軟體產業從1981年1月到2000年12月的專利權申請數目 46
表 8 全球軟體產業之李雅普諾夫指數的分析過程 48
表 9 半導體產業從1981年1月到2000年12月的專利權申請數目 50
表 10 半導體產業之李雅普諾夫指數的分析過程 52
表 11 生物科技產業從1981年1月到2000年12月的專利權申請數目 54
表 12 生物科技產業之李雅普諾夫指數的分析過程 56
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