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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 商學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96436
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳家麟zh_TW
dc.contributor.advisorChia-Lin Chenen
dc.contributor.author何翊慈zh_TW
dc.contributor.authorYi-Tzu Hoen
dc.date.accessioned2025-02-13T16:27:44Z-
dc.date.available2025-02-14-
dc.date.copyright2025-02-13-
dc.date.issued2024-
dc.date.submitted2025-02-03-
dc.identifier.citation期刊論文
1.Adam M. Brandenburger, & Barry J. Nalebuff (1996), Co-Opetition, New York: Currency Doubleday
2.Afuah, Allan (1998). Innovation Management: Strategies, Implementation, and Profits. NY: Oxford University Press.
3.Anggraeni, E., Den Hartigh, E., & Zegveld, M. (2007). Business Ecosystem as a Perspective for Studying the Relations between Firms and Their Business Networks. ECCON Annual Meeting, 1–28.
4.Barney, J. B. (1991). Firm Resources and Sustained Competitive Advantage.Journal of Management, 17, 99–120.
5.Basole, R. C., Huhtamäki, J., Still, K., & Russell, M. G. (2016). Visual Decision Support for Business Ecosystem Analysis. Expert Systems with Applications, 65, 271–282.
6.Betz, F. (1987). Managing Technology: Competing Through New Ventures, Innovation, and Corporate Research. Prentice Hall.
7.Damanpour, F. (1991). Organizational Innovation: A Meta-Analysis of Effects of Determinants and Moderators. Academy of Management Journal, 34(3), 555–590.
8.Das, T. K., & Teng, B. S. (2000). A Resource-Based Theory of Strategic Alliances. Journal of Management, 26(1), 31–61.
9.Freeman, C. (1982). The Economics of Industrial Innovation. MIT Press.
10.Grant, R. M. (1991). The Resource-Based Theory of Competitive Advantage:Implications for Strategy Formulation. California Management Review.
11.Hamel, G. (2000). Leading the Revolution. Boston: Harvard Business School.
12.Iansiti, M., & Levien, R. (2004). Strategy as Ecology. Harvard Business Review, 82(3), 66–78.
13.Iansiti, M., & Levien, R. (2004). The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Harvard Business School Press.
14.Leonard-Barton, D. (1990). A dual methodology for case studies: Synergistic use of a longitudinal single site with replicated multiple sites. Organization Science, 1(3), 248–266.
15.Mann, C. and Stewart, F. (2000) Internet Communications and Qualitative Research. London: Sage.
16.Moore, J.F. (1993) Predators and Prey: A New Ecology of Competition. Harvard Business Review, 71, 75-86.
17.Porter, M.E. (1979) How Competitive Forces Shape Strategy. Harvard Business Review, 57, 137-145.
18.Tansley, A.G. (1935) The Use and Abuse of Vegetational Concepts and Terms. Ecology, 16, 284-307.
19.Wernerfelt, B. (1984). The Resource-Based View of the Firm. Strategic Management Journal, 5, 171–180.
20.Yin, R. K., (1994). Case Study Research Design and Methods: Applied Social Research and Methods Series. Second edn. Thousand Oaks, CA: Sage Publications Inc.
學位論文
1.吳淑郁(2023)。數位浪潮下的商模轉型–以NVIDIA為例〔未出版之碩士論文〕。國立臺灣大學管理學院碩士在職專班資訊管理組
2.翁志忠(2023)。電動車生態系之創新商業模式探討–以鴻海MIH為例〔未出版之碩士論文〕。國立臺灣大學進修推廣學院事業經營碩士在職學位學程
3.胡宇謙(2020)。以商業生態系統觀點探討數位點數發展–以零售產業為例〔未出版之碩士論文〕。國立臺灣科技大學資訊管理系。
書籍
1.Adner. R. (2021), “Winning the Right Game: How to Disrupt, Defend, and Deliver in a Changing World”.
2.Nalebuff, B.J. and Brandenburger, A.M. (1997), "Co‐opetition: Competitive and cooperative business strategies for the digital economy", Strategy & Leadership, Vol. 25 No. 6, pp. 28-33.
3.Larry Keeley、Ryan Pikkel、Brain Quinn, & Helen Walters (2016)。創新的10個原點(洪慧芳譯)。天下雜誌。(原著出版於 2013)
4.Merriam, S.B. (1998) Qualitative Research and Case Study Applications in Education. Jossey-Bass Publishers, San Francisco.
5.Penrose, E. (1959), “The Theory of the Growth of the Firm,” Basil Blackwell, Oxford.
6.Porter, Michael E. (1985), “The Competitive Advantage: Creating and Sustaining Superior Performance,” NY: Free Press. (Republished with a new introduction, 1998.)
7.Ron Adner (2022)。生態系競爭策略(黃庭敏譯)。天下雜誌。
電子網路資料
1.【AMD AI大會】ROCm 6、Ryzen AI軟體齊出 AMD軟硬兼施強化AI生態系. (2023, December 7). Yahoo新聞. https://tw.stock.yahoo.com/news/%E3%80%90amd-ai%E5%A4%A7%E6%9C%83%E3%80%91rocm-6%E3%80%81ryzen-ai%E8%BB%9F%E9%AB%94%E9%BD%8A%E5%87%BA-032347996.html
2.3張圖,秒懂輝達商業模式:它憑什麼市值破兆美元. (2023, June 12). 商周.https://www.businessweekly.com.tw/business/blog/3012530
3.AMD 與 NVIDIA 競爭白熱化,AI晶片市場風雲再起. (2024, June 4). 科技報橘.https://buzzorange.com/techorange/2024/06/04/technology-amd-launches-new-ai-chips-take-leader-nvidia-2024-06-03/
4.Exploring The Top NVIDIA Competitors In 2023. (2023, September 6). Cheddar Flow. https://www.cheddarflow.com/blog/exploring-the-top-nvidia-competitors-in-2023/
5.Gpu Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029). (n.d.). Mordor Intelligence. https://www.mordorintelligence.com/industry-reports/graphics-processing-unit-market
6.Graphic Processing Unit (GPU) Market (By Device: Tablet, Television, Computer, Gaming Console, Smartphone, and Others; By Type: Integrated, Dedicated, and Hybrid; By Industry Vertical: IT & Telecommunication, Electronics, Media & Entertainment, Defense & Intelligence, and Others) - Global Market Size, Trends Analysis, Segment Forecasts, Regional Outlook 2023 - 2032. (2023, July 1). Precedence Research. https://www.precedenceresearch.com/graphic-processing-unit-market
7.GPU戰況分析:AMD 下戰帖、英特爾窮追,輝達能否保住龍頭地位?. (2024, March 14). 經理人. https://www.managertoday.com.tw/articles/view/68259
8.GPU是什麼?和CPU有什麼不同?1比喻讓你秒懂!挖礦、AI發展都靠它. (2023, May 30). 風傳媒. https://www.storm.mg/lifestyle/4799064
9.Meta發布新版AI自研晶片 降低對NVIDIA依賴. (2024, April 11). 聯合新聞網.https://udn.com/news/story/6811/7891128
10.NVIDIA https://www.nvidia.com/zh-tw/
11.NVIDIA 商業模式:人工智慧和自動駕駛的實體平台. (2024, February 21). FourWeekMBA. https://fourweekmba.com/zh-CN/%E8%8B%B1%E4%BC%9F%E8%BE%BE%E5%95%86%E4%B8%9A%E6%A8%A1%E5%BC%8F/
12.NVIDIA 黃仁勳稱生成式AI改變電腦架構 未來GPU重要性更勝CPU. (2023, May 26). 科技網.https://www.digitimes.com.tw/tech/dt/n/shwnws.asp?id=0000665057_WQSLHLOA68SR5O6M3YWB4
13.NVIDIA:AI加速觸及各產業 龐大生態系將不可能化為可能. (2023, March 2). CTIMES.https://www.ctimes.com.tw/DispNews/tw/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92/GPU/CPU/NVIDIA/2303221824KG.shtml
14.NVIDIA與AMD在AI生態系布局策略. (2023, August 28). MIC AISP情報顧問服務. https://mic.iii.org.tw/aisp/ReportS?docid=CDOC20230819004
15.PC GPU Shipments Increased by 11.6% Sequentially from Last Quarter and Decreased by -27% Year to Year. (2023, August 28). Jon Peddie Research.https://www.jonpeddie.com/news/pc-gpu-shipments-increased-by-11-6-sequentially-from-last-quarter-and-decreased-by-27-year-to-year/
16.Virtual Reality (VR) Market Size, Share & Trends Analysis Report By technology (SEMI & fully immersive, non-immersive), by device (HMD, GTD), by component (Hardware, software), by application, by region, and segment Forecasts, 2023 - 2030. (n.d.). https://www.grandviewresearch.com/industry-analysis/virtual-reality-vr-market
17.人工智慧應用需求廣泛,圖形處理器(GPU)市場持續成長. (2023, July 17). 觀研報告網.https://www.chinabaogao.com/detail/641516.html
18.「敵人的敵人是朋友」!聯發科攜手NVIDIA攻車用,互補哪些「短」處?. (2023, May 29). 數位時代. https://www.bnext.com.tw/article/75425/mediatek-nvidia-jensen-haung-rick
19.戴爾科技:強化與NVIDIA合作 協助企業採用AI技術. (2024, March 19). 鉅亨網.https://news.cnyes.com/news/id/5496277
20.電腦業界攜手 NVIDIA 打造人工智慧工廠和資料中心,準備迎接下一次產業革命. (2024, June 3). NVIDIA. https://blogs.nvidia.com.tw/blog/computer-industry-ai-factories-data-centers/
17.紐時:美國AI反壟斷調查 輝達微軟OpenAI在列. (2024, June 6). 中央通訊社.https://www.cna.com.tw/news/aopl/202406060372.aspx
18.寧可對高層減薪、不願裁掉基層夥伴!NVIDIA靠2大文化打造AI帝國. (2023, June 21). 數位時代.https://www.bnext.com.tw/article/75739/nvidia-management-culture
19.掌握AI生態系的NVIDIA堡壘最終會倒塌嗎?. (2024, April 29). 卓越電子報.https://readfi.news/22603/
20.輝達亮最強AI晶片 11家台廠列供應鏈. (2024, March 20). 自由時報.https://www.cw.com.tw/article/5129299
21.輝達出手封鎖,想要維護CUDA“霸權.” (2024, March 6). 鉅亨網.https://hao.cnyes.com/post/73059?utm_source=cnyes&utm_medium=home&utm_campaign=postid
22.輝達太會賺錢引眾怒 ! 美8大科技巨頭攜手成立「反輝達聯盟」. (2024, May 31). 自由時報.https://ec.ltn.com.tw/article/breakingnews/4690295
23.輝達市值狂飆!AI晶片戰,AMD能打破Nvidia壟斷嗎?. (2024, February 15). 天下雜誌.https://www.cw.com.tw/article/5129299
24.輝達搶吃ASIC,獨霸GPU為何推自研晶片?兩個關鍵,決定黃仁勳能否再稱霸. (2024, February 16). 數位時代. https://www.bnext.com.tw/article/78381/nvidia-asic-csp-meta-google-azure-microsoft-aws
25.輝達是AI市場開創者,而非爭奪者,黃仁勳:我們不介意浪費時間. (2024, June 4). 商益.https://www.businessyee.com/article/3984-Nvidia-globle-press-qa
26.輝達為何這麼強?GTC一角藏4千億美元市場秘密!一文解讀黃仁勳AI生態系大計. (2024, April 2). 數位時代. https://www.bnext.com.tw/article/78687/nvidia-startup-inception
27.輝達走上AI之路的兩大關鍵. (2023, May 31). 天下雜誌.https://www.cw.com.tw/feature/topic/jensen-huang?from=search
28.黃仁勳:對手全免費也贏不了我們!輝達AI晶片有多強?. (2024, March 12). 商周.https://www.businessweekly.com.tw/business/blog/3014969
29.黃仁勳憂台灣「電力限度是挑戰」!科技界吐心聲:AI發展要搶電. (2024, June 10). ETtoday.https://finance.ettoday.net/news/2755632
30.如果世上只剩兩間AI公司,誰是對手?黃仁勳一句話點出「輝達之所以為輝達」. (2024, June 5). 數位時代. https://www.bnext.com.tw/article/79331/computex2024-nvidia-qa
31.輝達的CUDA成今天AI唯一標準15年前的遠見成就萬億巨企傳奇. (2023, May 31). 香港01.https://www.hk01.com/%E5%8D%B3%E6%99%82%E5%9C%8B%E9%9A%9B/903841/nvidia%E7%9A%84cuda%E6%88%90%E4%BB%8A%E5%A4%A9ai%E5%94%AF%E4%B8%80%E6%A8%99%E6%BA%96-15%E5%B9%B4%E5%89%8D%E7%9A%84%E9%81%A0%E8%A6%8B%E6%88%90%E5%B0%B1%E8%90%AC%E5%84%84%E5%B7%A8%E4%BC%81%E5%82%B3%E5%A5%87
32.輝達為何這麼強?GTC一角藏4千億美元市場秘密!一文解讀黃仁勳AI生態系大計. (2024, April 2). 數位時代. https://www.bnext.com.tw/article/78687/nvidia-startup-inception
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96436-
dc.description.abstract本研究旨在探討NVIDIA如何以創新的商業模式擴張其市場與獲利來源,並且洞察先機提早佈局,而在生成式AI爆發下稱霸產業,佔領難以撼動的領先地位。根據文獻回顧和GPU產業分析,本研究進一步分析NVIDIA生態系的創新策略以及競爭策略並得出以下結論:
一、NVIDIA鼓勵創新的企業文化、領先業界的研發能力及掌握整條AI供應鏈上頂尖參與者的策略聯盟資源為維持競爭優勢並開展創新策略的重要根基。
二、藉由與顧客、供應商、競爭者、互補者的緊密互動,為NVIDIA共創最大價值,然競爭者拉攏顧客另闢研發體系,為NVIDIA未來將面對的議題。
三、NVIDIA的創新策略採取平台導向的生態系統體驗,以CUDA架構為基礎佈建AI生態系,透過軟體賦能硬體、開放式專用平台的打造,成功拓展產品應用範圍並改變營收結構,提升毛利。
四、NVIDIA期望成為AI界的台積電,提供最高的吞吐量和最低可能的成本,替需要使用AI的企業代工。在生態系建立多個專用平台與合作夥伴協力開創AI市場,建構強大的壁壘城牆和技術升級,而在現階段不受競爭者威脅。
總體而言NVIDIA透過生態系的經營,改變過去GPU專注於銷售硬體的限制,創造高度成長動能,並站穩領導者的身份。然面對競爭者的積極追趕,NVIDIA必須持續投資於研發以保持其創新邊際,並發展更多客製化的解決方案來增強市場吸引力及獨特性。同時擴充供應鏈合作夥伴並建立緊密的合作關係,是確保產能穩定的關鍵策略。NVIDIA也需嚴守環境與社會責任,並隨時注意法律和規範的合規性,以保持業務的持續發展和市場競爭力。
zh_TW
dc.description.abstractThis study investigates how NVIDIA has expanded its market and profitability through innovative business models, strategically positioning itself ahead of the generative AI surge to dominate the industry. The analysis, based on literature reviews and GPU industry insights, further explores NVIDIA's ecosystem innovation and competitive strategies, leading to the following conclusions
NVIDIA's ecosystem operation not only establishes it as an industry leader but also as a pioneer in the AI market:
1. NVIDIA’s innovative culture, leading R&D capabilities, patents, and strategic alliances are foundational for maintaining its competitive edge and driving innovation.
2. Through engagements with customers, suppliers, competitors, and complementary players, NVIDIA maximizes value. The dynamics in various sectors influence resource distribution, and the rise of customers as potential competitors present future challenges.
3. NVIDIA's strategic adoption of a platform-oriented ecosystem approach, building on the CUDA architecture, has broadened the application scope of its products, altered its revenue model, and increased profitability.
4. Aspiring to be the TSMC of the AI world, NVIDIA aims to provide the highest throughput and the lowest possible costs for companies using AI, building multiple specialized platforms and collaborating with partners to pioneer the AI market. It constructs formidable barriers and technological advancements, currently unthreatened by competitors.
In summary, by managing its ecosystem, NVIDIA has transformed the limitations of previously being hardware-focused to fuel significant growth, solidifying its leadership. To continue competing, NVIDIA must invest in R&D and develop customized solutions to enhance industrial attractiveness and irreplaceability. Expanding supply chain partnerships to ensure production stability, adhering to environmental and social responsibilities, and maintaining legal compliance are critical for sustainable business development and competitive advantage in the market.
en
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dc.description.tableofcontents口試委員審定書 i
謝辭 ii
摘要 iii
ABSTRACT iv
目次 vi
圖次 viii
表次 x
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與方法 1
1.3 研究範圍與限制 3
1.4 研究架構 3
第二章 文獻探討 6
2.1 PEST分析 6
2.2 資源基礎理論 7
2.3 價值網分析 8
2.4 生態系創新策略分析 10
2.5 生態系競爭策略分析 14
第三章 全球GPU產業趨勢與展望 19
3.1 全球GPU產業概況 19
3.2 全球GPU產業競爭狀況與展望 31
第四章 GPU晶片設計商創新商業模式探討 38
4.1 個案公司介紹 38
4.2 NVIDIA AI生態系創新策略分析 53
4.3 NVIDIA AI生態系競爭策略分析 71
4.4 NVIDIA面臨之挑戰 79
第五章 研究結論與建議 81
5.1 研究結論 81
5.2 研究建議 83
參考文獻 85
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dc.language.isozh_TW-
dc.titleGPU晶片設計商創新商業模式探討─以NVIDIA為例zh_TW
dc.titleThe Innovative Business Model of GPU IC Design - A Case Study of NVIDIAen
dc.typeThesis-
dc.date.schoolyear113-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee簡睿哲;李杭zh_TW
dc.contributor.oralexamcommitteeRuey-Jer Jean;Hang Leeen
dc.subject.keyword繪圖晶片產業,GPU高效運算,NVIDIA,NVIDIA AI生態系,生態系創新策略,生態系競爭策略,zh_TW
dc.subject.keywordGPU industry,high-performance computing,NVIDIA,NVIDIA AI ecosystem,ecosystem innovation strategy,ecosystem competitive strategy,en
dc.relation.page92-
dc.identifier.doi10.6342/NTU202500339-
dc.rights.note未授權-
dc.date.accepted2025-02-03-
dc.contributor.author-college管理學院-
dc.contributor.author-dept商學研究所-
dc.date.embargo-liftN/A-
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