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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/157720


    Title: 音樂 AI 娛樂暨二創平台創新經營模式之研究
    A Study of Innovative business model for AI-driven music recreation
    Authors: 張庭維
    Chang, Ting-Wei
    Contributors: 許牧彥
    Xu, Mu-Yan
    張庭維
    Chang, Ting-Wei
    Keywords: 音樂平台創新
    AI 音樂生成
    著使用者共
    二次創作
    創作權
    平台治理
    Music platform innovation
    AI music generation
    User co-creation
    Derivative works
    Copyright
    Platform governance
    Date: 2025
    Issue Date: 2025-07-01 14:32:10 (UTC+8)
    Abstract: 近年來，隨著生成式 AI 技術的快速發展與數位音樂平台的成熟，音樂產業進入「使用者共創」與「平台生成經濟」的新階段。根據國際唱片業協會（IFPI）報告指出，2023 年全球音樂串流收入已達 193 億美元，其中 Spotify以超過 31% 市佔率居於領先地位。然而，儘管平台用戶規模快速增長，長期仍面臨版權成本高昂與創作者參與有限等營運挑戰。同時，Z 世代與年輕創作者對於 AI 音樂創作與二次創作的參與熱情日益升高，據 2025 年《IMS Business Report》指出，全球已有超過 6,000 萬用戶實際使用 AI 音樂創作工具，顯示市場對參與型音樂創作的需求日漸明確。
    本研究以 Spotify 為提案對象，提出一創新子平台 Avibe，結合 AI 音樂生成技術與 Remix 編輯模組，建立一個以「使用者即創作者」(users-as-creators)為核心的參與型創作平台。該平台進一步設計「分層級授權架構」、「創作者收益回溯制」與「白名單授權模式」，以回應現行音樂著作權分配、平台治理與產業實務間之斷裂與落差，並兼顧創作自由與法律合規之平衡。本研究採用質性研究方法，透過半結構式訪談蒐集音樂工會代表、平台業者與創作者的意見，評估此創新提案之可行性與制度落地條件，並以訪談回饋修正平台架構設計。
    研究結果指出，受訪者普遍肯定 Avibe 對於促進創作參與與強化平台差異化的潛力，並認為其分層級授權制度可作為現行制度下的新型授權範式。然而，在商業使用情境下的權利歸屬、演算法推薦是否涉足「著作改作」、以及AI 音樂歸屬的法律空白，仍需制度與平台共同應對。本研究之貢獻在於建立一套整合技術、治理與授權之平台原型架構，並作為未來數位音樂平台導入生成式 AI 模組與創作者生態治理時之參考藍圖。
    In recent years, the rise of generative AI and digital music platforms has ushered in a new era of user co-creation and platform-driven economies. In 2023, global streaming revenue reached USD 19.3 billion, with Spotify leading at over 31% market share. Yet, platforms still face high copyright costs and limited creator engagement, even as AI music tools attract over 60 million users—especially among Gen Z.
    This study focuses on Spotify and proposes a sub-platform, Avibe, which combines AI music generation with a remix editing module to promote user participation. The platform incorporates a tiered licensing system, creator revenue tracing, and a whitelist-based licensing model to address disconnections between copyright allocation, platform governance, and industry practice—while balancing creative freedom with legal compliance.
    Using a qualitative approach, semi-structured interviews were conducted with representatives from musicians’ unions, platform operators, and creators to evaluate feasibility and refine the platform’s design. Interviewees generally affirmed Avibe’s potential to enhance creative participation and platform differentiation, viewing the tiered licensing model as a promising new paradigm.
    This study contributes a prototype framework that integrates technology, governance, and licensing—providing a reference model for future digital music platforms adopting generative AI.
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    Description: 碩士
    國立政治大學
    科技管理與智慧財產研究所
    112364121
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0112364121
    Data Type: thesis
    Appears in Collections:[Graduate Institute of TIPM] Theses

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