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研究生: 吳庭萱
Wu, Ting-Hsuan
論文名稱: AI 與半導體產業擴張下之電力設備廠商策略 - 以H公司為例
Strategies of Power Equipment Manufacturers Under the Expansion of the AI and Semiconductor Industries: A Case Study of Company H
指導教授: 黃國峯
酈芃羽
口試委員: 林谷合
陳怡安
學位類別: 碩士
Master
系所名稱: 商學院 - 企業管理研究所(MBA學位學程)
Master of Business Administration Program(MBA)
論文出版年: 2026
畢業學年度: 115
語文別: 中文
論文頁數: 93
中文關鍵詞: 重電高壓電力資料中心人工智慧五力分析資源基礎說競爭優勢動態能力觀點
外文關鍵詞: High voltage electricity, Data Center, AI, Five force analysis, Resource based view, Competitive Advantage, Dynamic Capability View
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  • 隨著人工智慧(AI)與資料中心的快速發展,電力設備的角色日益關鍵。在「算力即電力」的趨勢下,雲端大廠於建置資料中心時,高度重視供電的穩定性與安全性。如何確保 AI 伺服器無間斷運轉,並降低突發停電對硬體設備的損害,已成為雲端供應商與電力設備商須共同克服的重要課題。
    本研究以 H 公司為個案,採由外而內之視角,深入探討其產業環境與應對市場變遷之競爭策略。首先,運用五力分析檢視高壓電力設備產業的外部環境、議價能力與進入障礙,並透過價值鏈定位 H 公司於產業鏈中之角色。其次,以資源基礎觀點(RBV)分析企業內部資源,釐清 H 公司建立差異化與維持競爭優勢之關鍵。最後,從動態能力觀點(DCV),剖析 H 公司在瞬息萬變的 AI 浪潮下所具備的調適策略。
    在研究方法上,本研究採半結構式訪談,針對行銷與業務部門之核心決策者進行深度訪談,藉此梳理 H 公司的策略轉變脈絡及其與集團旗下子公司所發揮之綜效。本研究期能完整呈現 H 公司從純硬體設備商,成功轉型為「軟硬體整合」電力解決方案提供商之數位轉型歷程,為相關產業與企業提供具實務價值之參考與借鏡。


    With the rapid advancement of artificial intelligence (AI) and data centers, the role of power equipment has become increasingly critical. Driven by the paradigm that "computing power equates to electrical power," major cloud service providers prioritize power supply stability and security when constructing data centers. Ensuring the uninterrupted operation of AI servers and mitigating hardware damage caused by unexpected power outages have emerged as critical challenges that cloud providers and power equipment suppliers must collaboratively address.
    This research employs a case study approach focusing on Company H, adopting an "outside-in" perspective to comprehensively explore its industry environment and competitive strategies in response to market dynamics. First, Porter's Five Forces framework is utilized to examine the external environment, bargaining power, and barriers to entry within the high-voltage power equipment industry, while Value Chain analysis is applied to define Company H's positioning within the industrial chain. Subsequently, the Resource-Based View (RBV) is adopted to analyze the firm's internal resources, elucidating the critical factors that enable Company H to establish differentiation and sustain a competitive advantage. Finally, through the lens of Dynamic Capabilities, this study dissects the adaptive strategies developed by Company H amidst the rapidly evolving AI landscape.
    Methodologically, this study conducts semi-structured, in-depth interviews with key decision-makers in the marketing and sales departments. This approach aims to delineate the trajectory of Company H's strategic transformation and the synergistic effects achieved with other subsidiaries within the corporate group. Ultimately, this research seeks to comprehensively present Company H's digital transformation journey—from a traditional hardware equipment manufacturer to an integrated hardware-software power solutions provider—thereby offering practical insights and empirical references for related industries and enterprises.

    謝誌 I
    中文摘要 II
    英文摘要 III
    目錄 V
    圖次與表次 VII
    第一章 緒論 1
    第一節 研究背景 1
    第二節 研究目的與研究問題 3
    第二章 文獻探討 4
    第一節 五力分析 4
    第二節 資源基礎說 9
    第三節 動態能力觀點 18
    第三章 研究方法 25
    第一節 研究方法 25
    第二節 研究設計 26
    第三節 研究架構 29
    第四章 個案分析 31
    第一節 台灣高壓電力設備產業簡介 31
    第二節 高壓電力設備產業的五力分析 36
    第三節 個案公司介紹 42
    第四節 個案公司的策略演變 47
    第五節 個案公司的資源基礎說 52
    第六節 個案公司的動態策略觀點 63
    第五章 研究結果與分析 69
    第一節 研究結論 69
    第二節 理論應用 73
    第三節 實務貢獻 75
    第四節 研究限制與後續研究建議 77
    參考文獻 79
    附錄一:訪談大綱 91

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