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| Title: | 企業導入生成式AI的智財管理與資訊安全對策_以製鞋產業鏈為例
Intellectual Property Management and Information Security Measures for Enterprises Implementing Generative AI: A Case Study of the Footwear Industry Supply Chain |
| Authors: | 曾蕙瑜
Tseng, Hui-Yu |
| Contributors: | 宋皇志
Sung, Huang-Chih
曾蕙瑜
Tseng, Hui-Yu |
| Keywords: | 生成式AI
製鞋產業
智慧財產權
資訊安全
資料治理
Generative AI
Footwear industry
Intellectual property rights
Information security
Data governance |
| Date: | 2024 |
| Issue Date: | 2024-09-04 13:52:02 (UTC+8) |
| Abstract: | 本研究以製鞋產業為例，探討企業在導入生成式AI過程中的智慧財產權保護與資訊安全對策。透過技術-組織-環境-績效(TOE-P)框架、價值鏈分析、利益相關者分析以及風險-價值矩陣，結合文獻分析、深度訪談、案例研究等質性方法 ，多維度檢視生成式AI在製鞋產業鏈的應用現況、智慧財產管理風險與資料保護的挑戰。
研究聚焦產業鏈中上下游尤其是製鞋代工企業在AI模型訓練資料取得、生成內容智慧財產歸屬、資料共享授權等方面的實務難題與因應之道。發現顯示，製鞋代工企業普遍意識到生成式AI帶來的智慧財產權與個人資料隱私風險，但尚缺乏系統性的應對舉措。企業內部跨部門協作、供應鏈資料共享機制有待完善，員工智慧財產權保護與資訊安全意識和能力亟需提升。外部法律環境變化與產業標準缺乏也為製鞋代工企業AI治理帶來更多不確定性。
本研究根據案例分析，提出製鞋產業生成式AI智財管理與資安的整體治理框架，建議企業建立專責AI治理的跨部門協作機制，制定資料生命週期管理制度，運用同態加密、聯邦學習等隱私運算技術保護商業敏感資料，並積極參與產業智財政策與標準制定。
研究深化了TOE-P框架、價值鏈分析、利益相關者分析以及風險-價值矩陣等，在生成式AI場域的理論應用，豐富了製造業AI治理的實務知識。研究結論可供同業企業在智慧財產權保護與資訊安全實踐上參考，助力製造業在智慧轉型中驅動創新並控管風險。
This study uses the footwear industry as an example to explore strategies for intellectual property protection and information security as enterprises introduce generative AI. Through the Technology-Organization-Environment-Performance (TOE-P) framework, value chain analysis, stakeholder analysis, and risk-value matrix, combined with qualitative methods such as literature review, in-depth interviews, and case studies, the research examines from multiple dimensions the current applications of generative AI in the footwear industry chain, the risks of intellectual property management, and the challenges of data protection.
The research focuses on practical issues and coping strategies in the industry chain, especially for footwear OEM companies, regarding AI model training data acquisition, intellectual property ownership of generated content, and data sharing authorization. Findings indicate that footwear OEM companies are generally aware of the intellectual property and personal data privacy risks brought by generative AI, but lack systematic countermeasures. Internal cross-departmental collaboration and supply chain data sharing mechanisms need improvement, and there is an urgent need to enhance employees' awareness and capabilities in intellectual property protection and information security. Changes in the external legal environment and the lack of industry standards also bring more uncertainties to AI governance for footwear OEM companies.
Based on case analysis, this study proposes an overall governance framework for generative AI intellectual property management and information security in the footwear industry. It recommends that companies establish cross-departmental collaborative mechanisms dedicated to AI governance, formulate data lifecycle management systems, use privacy computing technologies such as homomorphic encryption and federated learning to protect commercially sensitive data, and actively participate in the formulation of industry intellectual property policies and standards.
The research deepens the theoretical application of the TOE-P framework, value chain analysis, stakeholder analysis, and risk-value matrix in the field of generative AI, enriching practical knowledge of AI governance in manufacturing. The research conclusions can serve as a reference for peer companies in intellectual property protection and information security practices, helping the manufacturing industry drive innovation and control risks during intelligent transformation. |
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| Description: | 碩士
國立政治大學
經營管理碩士學程(EMBA)
111932080 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111932080 |
| Data Type: | thesis |
| Appears in Collections: | [經營管理碩士學程EMBA] 學位論文
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