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研究生: 蘇芳儀
Su, Fang-Yi
論文名稱: 人文導向經營策略之探究──以 AI 協作建立HBS-4模式
Humanizing Business Strategy: Constructing the HBS-4 Framework through AI Collaboration
指導教授: 吳思華
Wu, Se-Hwa
口試委員: 李慶芳
Lee, Ching-Fang
黃政仁
Huang, Cheng-Jen
學位類別: 碩士
Master
系所名稱: 商學院 - 科技管理與智慧財產研究所
Graduate Institute of Technology, Innovation and Intellectual Property Management
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 169
中文關鍵詞: 人文創新人本策略生成式人工智慧策略跳轉價值邏輯
外文關鍵詞: Humanistic Innovation, Human-centered Strategy, Generative Artificial Intelligence, Strategic Level Shift, Value Logic
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  • 在企業永續轉型與社會信任重建成為核心挑戰的當代情境中,人文價值雖頻繁出現在企業論述與政策倡議之中,實則在實際經營決策中仍難以內嵌於策略主體。過往文獻多將人文導向視為倫理補充或形象訴求,缺乏一套可操作、可分類、可推演的策略分析語言,使得企業即便具備價值意識,亦難將其制度化或轉化為長期競爭優勢。本研究即試圖回應此一結構性落差,提出一套人文價值可系統性進入策略設計之路徑,並建構 HBS-4 多層次人文導向策略分析架構以作為企業策略分類與演化的分析工具。
    本研究以策略管理、組織治理與人文創新等相關理論為基礎,結合生成式 AI 協作的研究方式,透過分類對話、邏輯拆解與語意重構,逐步建構出由產品層次、廠商層次、集團層次與生態層次所組成的四層次分析模型。各層次對應不同治理範疇與價值主體,並展現人文導向策略於企業內部治理結構中之具體樣貌。研究者進一步以八個異質性實務個案進行分類與交叉驗證,檢視該架構之區辨性、適切性與分類正當性。
    研究發現,不同層次之人文導向策略具有顯著差異:產品層次強調使用者參與與價值敘事的設計轉譯;廠商層次聚焦於制度化回應社會問題與資源配置正義;集團層次著眼於跨部門願景整合與策略性社會資源佈局;而生態層次則指向多邊共構、去商品化與價值網絡治理邏輯。除靜態分類外,研究亦觀察到企業於不同治理條件下進行策略跳轉(strategic level shift)的可能性,並藉由個案評估其所需組織條件與價值敘事轉化能力。
    本研究不僅建構出一套可用於辨識、比較與引導人文導向策略之分析架構,亦透過 AI協作展現出知識生成的另類路徑,進一步為人文、策略與 AI 三者之間的耦合關係建立對話語言。研究成果預期可為企業發展價值導向策略、實現制度性轉型,以及學術界拓展策略理論於人文實踐領域中的理論進路提供具體基礎與分析工具。


    In response to growing demands for corporate sustainability and social trust reconstruction, humanistic values have been increasingly advocated in business discourse. However, they often remain peripheral in strategic decision-making. Existing literature tends to treat humanistic orientation as ethical decoration or brand positioning, lacking a structured and actionable framework for integrating values into governance and strategy. Addressing this gap, this study proposes the HBS-4 framework—an analytical model enabling the classification, articulation, and progression of humanistic-oriented strategies across four business levels.
    Grounded in theories of strategic management, organizational governance, and humanistic innovation, the research integrates generative AI collaboration as a method for semantic reflection and framework refinement. The HBS-4 framework identifies four levels—Product, Firm, Corporate Group, and Ecosystem—each with distinct value subjects, strategic logics, and operational scopes. The framework was validated through eight heterogeneous case studies, assessing its discriminatory power and practical applicability.
    Findings reveal significant differences across levels: product-level initiatives emphasize user participation and narrative design; firm-level strategies focus on institutional responses to social issues; group-level approaches highlight visionary alignment and cross-unit resource allocation; ecosystem-level strategies foster multi-stakeholder collaboration and value de-commodification. The study also observes the potential for strategic "level shifts," where organizations transition from one level to another, requiring specific governance conditions and narrative capabilities.
    This research contributes a structured language for identifying and comparing humanistic strategies and demonstrates a novel method of human–AI collaborative theory building. The HBS-4 framework offers practical insights for organizations seeking to integrate humanistic values into strategic planning and provides a conceptual foundation for advancing value-based strategic theory in the age of AI.

    第一章 緒論 10
    第一節 研究動機 10
    一、商業策略在社會變遷下的價值改變 10
    二、AI 帶來協作轉機 12
    第二節 研究背景 15
    一、人文價值的被倡議與實踐落差 15
    二、AI 技術進展與跨領域應用的新局 17
    第三節 研究問題 19
    第四節 研究目地 20
    一、釐析人文導向策略於不同商業層次之實踐特徵 20
    二、建構多層次人文導向策略之分類與分析框架 20
    三、實徵檢驗分類架構之適用性與完整性 21
    第二章 文獻探討與研究架構發展 23
    第一節 傳統經營策略思考價值創造與競爭優勢 24
    一、產業結構觀點(Industry-Based View) 24
    二、資源基礎觀點(Resource-Based View, RBV) 24
    三、動態能力與價值網絡的崛起 25
    四、策略九說的內涵 25
    五、傳統策略邏輯的基底價值觀檢討 27
    第二節 人文導向之經營策略浮現 28
    一、價值共創與包容策略的興起:從 CSV 到包容性創新 29
    二、倫理實踐作為策略資源:從實踐智慧到社會責任辯證 29
    三、文化詮釋與設計導向:重新定義產品與創新的價值意涵 30
    四、人文創新H-EHA 模式 30
    第三章 研究方法與個案說明 33
    第一節 研究方法 33
    一、理論定位與方法論轉向:從實證性分類到生成性建構 33
    二、AI 協作之知識對話歷程:提問、再詰問、AI 回應、研究者再判斷的循環 34
    三、AI 協作知識建構的操作邏輯與學術定位 35
    四、研究進程與操作階段:由問題拆解到分類驗證 35
    第二節 研究架構發展浮現 41
    一、生成時代的策略對話者:人工智慧作為人文思維的協作者 41
    二、理論架構生成邏輯的整合與轉譯 42
    第三節 四層次人文經營策略架構 HBS-4 Framework 46
    一、產品層次:以使用者經驗與意義創新為核心的價值 46
    二、廠商層次:作為社會問題解方提出者的價值實驗場 51
    三、集團層次:長期策略佈局實現公益與私利的共生 56
    四、生態層次:作為場域建構者的策略角色與價值重構 61
    第四節 個案篩選與配置原則 66
    一、個案選取原則 66
    二、四層次分類邏輯說明 66
    三、各層次個案配置概況 67
    第五節 個案內容介紹 68
    一、產品層次個案內容介紹:綠藤生機、春池 68
    二、廠商層次個案內容介紹:平安箱子、合樸農學市集 72
    三、集團層次個案內容介紹:台灣水泥、花王 76
    四、生態層次個案內容介紹:Coursera、華山文創園區 82
    第四章 研究發現 88
    第一節 框架合理性驗證:AI 分類準確度與層次區隔 88
    一、框架驗證評分標準 88
    二、整合性段落說明 88
    三、產品層次個案合理性驗證 94
    四、廠商層次個案合理性驗證 105
    五、集團層次個案合理性驗證 115
    六、生態層次個案合理性驗證 125
    第二節 研究架構有效性:AI 協作下的層次策略跳轉機制 135
    一、產品層次個案策略跳轉建議 136
    二、廠商層次個案策略跳轉建議 140
    三、集團層次個案策略跳轉建議 144
    四、生態層次個案策略跳轉建議 147
    第五章 結論與建議 152
    第一節 研究發現 152
    一、人文融入商業策略的實踐差異與 HBS-4 架構邏輯 152
    二、AI 參與的角色轉化:從輔助者到認知協作者 158
    第二節 研究貢獻 161
    一、學術貢獻 161
    二、實務貢獻 162
    第三節 研究限制與未來研究建議 163
    一、研究限制 163
    二、未來研究建議 164
    參考文獻 166
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    二、英文文獻 167

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