中 文 摘 要
因應二十一世紀全球競爭(Global-based competition)及知識經濟(Knowledge-based economy)時代的來臨，多國籍企業(Multinational corporations, MNCs)如何於全球競合 (Coopetition)的環境下，確保其持續性競爭優勢( Sustained competitive advantage)，誠為企業主關切之議題。其中，國際市場進入型態(International market entry modes)與國際市場推進路徑(International market advancing path)，儼然成為多國籍企業達至國際市場預期營運規模之重要策略。本研究乃係建立於全球經濟不景氣之基本條件下，採「集中化序列投資策略」做為國際市場推進路徑策略之合理選擇。其次，假設「區位特徵」與「經營經驗」為影響投資報酬率，且攸關於投資優先順序之因子。於上述假設條件下，以數理規劃(Mathematical programming)理論，建構「跨國序列投資決策之最佳評選模式」，藉以求得在最小風險與最短時間內達至國際市場預期營運規模之推進路徑。再者，本研究亦考量投資區域增加時，導致模式建構的複雜性；進而，爰提以基因演算法(Genetic algorithms, GAs)為工具之求解程序(Proposed procedure)，並輔以實際範例，說明演算程序之有效性。

ABSTRACT
With the coming age of global-based competition and knowledge-based economy in twenty-first century, the entrepreneurs concentrate on how the multinational corporations (MNCs) maintain their sustained competitive advantages in the coopetition environment. Two of the most important strategies for multinational corporations to achieve expected market scope are the “international market entry modes” and the “international market advancing path”.
This study aims to assume that "centralized sequence investment strategy" is reasonable for the international market advancing path, and the "regional characteristics" and "operational experiences" are the key factors for the return of investment and the choice of priority. Moreover, it builds an "optimal evaluation model for transnational sequential investments" in order of achieving the goal with the lowest risk and shortest time. Further more, this study uses Genetic algorithms (GAs) as proposed procedure concerning the complexity when increasing the investment regions, and it addresses the practical examples for testing the validity of proposed procedure.

目 錄
封面內頁
簽名頁
授權書………………………………………………………………...iii
中文摘要……………………………………………………………...iv
英文摘要………………………………………………………………v
誌謝…………………………………………………………………...vi
目錄…………………………………………………………………..vii
圖目錄………………………………………………………………...xi
表目錄……………………………………………………………….xiii
第一章 緒論
1.1 前言…………………………………………………………..1
1.2 研究動機……………………………………………………..1
1.3 研究目的……………………………………………………..2
1.4 章節架構與研究流程………………………………………..3
1.5 研究貢獻……………………………………………………..5
第二章 文獻回顧
2.1 國際市場進入型態…………………………………………..6
2.2 基因演算法…………………………………………………10
2.3 分析層級程序法……………………………………………10
第三章 基因演算法
3.1 基因演算法之基本原理與應用……………………………15
3.2 基因遺傳演算法之演算流程………………………………16
3.3 基因演算法之優點…………………………………………23
第四章 問題敘述與名詞界定
4.1 一般性問題敘述……………………………………………24
4.2 名詞界定……………………………………………………25
4.2.1 區位特徵與經營經驗…………………………………25
4.2.2 國際市場進入型態……………………………………27
4.2.3 國際市場推進路徑……………………………………28
4.3 研究假設……………………………………………………31
第五章 區位特徵順序組合效益模式
5.1 問題描述……………………………………………………32
5.2 模式建構……………………………………………………34
5.2.1 符號說明與定義……………………………………….34
5.2.2 限制條件……………………………………………….35
5.2.3 「0-1」整數規劃模式…………………………………35
5.3 演算流程……………………………………………………36
5.3.1 權重值之估計…………………………………………36
5.3.2 應用基因演算法………………………………………38
5.4 範例說明……………………………………………………42
5.4.1 權重值…………………………………………………42
5.4.2 範例解…………………………………………………45
第六章 經營經驗完全轉移模式
6.1 問題描述……………………………………………………48
6.2 模式構建……………………………………………………49
6.2.1 符號說明與定義………………………………………49
6.2.2 限制條件………………………………………………50
6.2.3 「0-1」整數規劃模式…………………………………50
6.3 演算流程……………………………………………………52
6.3.1 權重值之估計…………………………………………52
6.3.2 應用基因演算法………………………………………53
6.4 範例說明……………………………………………………53
6.4.1 權重值…………………………………………………54
6.4.2 範例解…………………………………………………57
第七章 經營經驗不完全轉移模式
7.1 問題描述……………………………………………………65
7.2 模式建構……………………………………………………66
7.2.1 符號說明與定義………………………………………66
7.2.2 限制條件………………………………………………66
7.2.3 「0-1」整數規劃模式…………………………………67
7.3 演算流程……………………………………………………68
7.3.1 權重值之估計…………………………………………68
7.3.2 應用基因演算法………………………………………70
7.4 範例說明……………………………………………………71
7.4.1 權重值…………………………………………………71
7.4.2 範例解…………………………………………………76
第八章 結論與建議…………………………………………………79
參考文獻……………………………………………………………..81

參 考 文 獻
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