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    Title: 中小型企業之生成式AI應用階段 - 以顧問產業為例
    Steps for SMEs to Apply Generative AI - Case Studies in the Consulting Industry
    Authors: 黃揚博
    Huang, Yang-Bo
    Contributors: 莊皓鈞
    黃揚博
    Huang, Yang-Bo
    Keywords: 生成式AI
    中小型企業
    顧問
    Generative AI
    SME
    Date: 2024
    Issue Date: 2024-08-05 12:13:27 (UTC+8)
    Abstract: 生成式AI正在加速改變商業世界的運轉方式。AI的概念被提出以有近乎80年之久，深度學習概念也在45年前就出現，但自過往以來，基於運算與應用的局限，AI遲遲難以普及，僅有部分工廠與少數大型企業有能力導入部署。然而，生成式AI將人工智慧得以普及化，背後感知與認知技術的提生大幅增進應用廣度，大量資金進入到AI領域，各類工具百花齊放。在巨大變革之下，往往也蘊藏著商機。而身處台灣的企業們，該如何從中獲取效益，進而幫助自身企業發展？
    基於此問題，本研究採用個案研究法之方式，訪談已實際應用生成式AI之企業。而根據《2023年中小型企業報告》顯示，台灣有98%為中小型企業，又基於近期知識付費之興起，故選擇「中小型顧問企業」作為本次訪談標的。我們實際訪談了四間小型顧問企業，領域涵蓋「行銷」、「高效能」、「創業」。我們將個別探討四間企業真實應用案例，協助企業可以了解生成式AI之真實應用情況。此外，本研究也根據訪談結果，歸納出企業應用生成式AI之階段性目標。
    研究後發現，企業應用AI將分成兩階段。第一階段，在應用初期企業會先使用生成式AI，透過替代或協作的方式優化既有業務的工作效率。研究結果發現，遭遇替代的任務往往具備標準化，或者擁有明確優劣評判標準之特性；而包含認知特色，或者包含個人偏好之任務，則適合採用協作的方式。第二階段，企業開始使用生成式AI創造新業務，擴張新營收來源。經過本次的研究，我們將新業務的種類分成三種：生成式AI課程、生成式AI產品與服務、延伸既有業務。然而，我們也發現企業的應用都集中在「處理標準化任務」、「創意發想」與「整合資料」三大面向，卻較少應用於情境模擬。對於企業而言，可以以此階段作為切入點，思考是否有可以導入之應用。
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    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    111363072
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111363072
    Data Type: thesis
    Appears in Collections:[MBA Program] Theses

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