企業國際擴展選擇–專屬之機器學習模型

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姓名

謝炳吉(Ping-Chi Hsieh) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

企業國際擴展選擇–專屬之機器學習模型
(International Expansion Selection by Proprietary Machine Learning Model)

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至系統瀏覽論文 (2025-12-31以後開放)

摘要(中)

本研究旨在探究跨國公司經常面對的一個簡單卻至關重要且複雜的問題。跨國企業如何選擇進入特定國家市場？因此，本研究使用機器學習方法開發了一種「國際擴展選擇模型」，基於「市場吸引力」、「企業資源基礎和能力」以及「客戶導向」三個主要商業觀點，建立企業國際擴展的優先目標和策略國家分類，以利跨國企業在有限的資源下進行策略上不同的配置，並且協助經理人的國際商業決策。此研究之解決方案模型闡明企業決策背後的複雜性，藉由簡單快速的策略分組可以幫助經理人做出即時決策，並在不斷變化的商業市場中做出回應，研究的概念是基於「由外而內的觀點」與「由內而外的觀點」，即企業內部與外部環境兩者之間在商業條件上的契合所進行的分類。本研究基於電子行業中領導的一家台灣企業，在國際擴展時的策略選擇模式，基於該跨國企業的特點，所構建的專有策略模型，最後，再以資料包絡分析比較經營績效與跨國決策，並分析探討該企業在國際化進程中的各項管理措施。

摘要(英)

This study aims to explain a simple but crucial complex problem often faced by multinational enterprises. How multinational companies choose to enter the markets of certain countries? Accordingly, this study develops an international expansion selection model by using the machine learning method. The priority targets for enterprises’ international expansion and the strategic country groups for classification can be identified on the basis of ideas expressed in three primary business concepts, namely “market attractiveness,” “enterprise’ resources and capabilities,” and “customer-oriented approach”; the identified priority targets and strategic country groups are useful for multinational enterprises when designing different strategic configurations for limited resources and can ultimately assist the business managers with making international business decisions. This model can elucidate the complexity behind enterprise decisions. By contrast, strategic grouping based on simple rules can aid the managers to make instantaneous decisions and respond according to the changing market. The concepts of this research are the "outside-in point of view" and "inside-out point of view", that is, the classification based on the business conditions between the internal and external environments of the enterprise. This study constructs an exclusive strategic model based on the international expansion strategy selection modes adopted by a leading Taiwan enterprise in electronics industry and the unique characteristics possessed by this enterprise. Finally, the data envelopment analysis is used to compare business performance and transnational decision-making, analyze, and explore various management measures of the enterprise in internationalization.

關鍵字(中)

★ 企業國際擴展
★ 機器學習
★ 企業資源基礎理論

關鍵字(英)

★ International expansion
★ Machine learning
★ Resource-based view

論文目次

摘要 …………………………………………………………... i

Abstract …………………………………………………………... ii

目錄 …………………………………………………………... iv

圖目錄 …………………………………………………………... vi

表目錄 …………………………………………………………... vii

第一章緒論……………………………………………………... 1
1-1 研究背景與動機………………………………………... 1
1-2 研究目的………………………………………………... 6
1-3 研究範圍………………………………………………... 6
1-4 研究流程………………………………………………... 7
第二章文獻探討………………………………………………... 8
2-1 市場吸引力……………………………………………... 8
2-2 企業資源基礎和能力…………………………………... 9
2-3 客戶導向………………………………………………... 14
2-4 資訊平台………………………………………………... 16
第三章研究架構………………………………………………... 17
3-1 研究架構說明…………………………………………... 17
3-2 研究模型定義…………………………………………... 19
3-3 研究設計………………………………………………... 19
第四章研究方法與模型………………………………………... 23
4-1 機器學習…………………...…….…………………..…. 23
4-2 監督式學習法……………………..……………………. 24
4-3 人工神經網路…………………………………...…….... 25
4-4 微軟機器學習平台……………………………………... 27
4-5 機器學習模型建構……………………………………... 28
4-6 資料包絡分析法……………………………………....... 35
第五章研究結果………………………………………………... 37
5-1 機器學習結果…………………………………………... 37
5-2 機器學習模型測試……………………………………... 43
5-3 資料包絡分析結果……………………………………... 46
第六章管理決策………………………………………………... 49
6-1 國際擴展分類與策略規劃……………………………... 49
6-2 營收業績目標…………………………………………... 50
6-3 策略市場選擇…………………………………………... 51
6-4 組織變革計劃…………………………………………... 52
6-5 通路商管理機制………………………………………... 54
6-6 國際擴展管理流程架構………………………………... 57
第七章研究結論與討論………………………………………... 58
7-1 研究結論………………………………………………... 58
7-2 研究討論………………………………………………... 59
7-3 研究貢獻………………………………………………... 62
7-4 研究限制與未來研究建議……………………………... 63
參考文獻 …………………………………………………………... 65
附錄一外部市場調查報告摘錄………………………………... 74
附錄二銷售產品系列摘錄……………………………………... 82
附錄三售後技術服務覆蓋範圍………………………………... 88
附錄四商業計畫摘錄…………………………………………... 89

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指導教授

洪德俊(D.J Horng)

審核日期

2021-1-6

推文