本研究主要目的是深入研究人工智慧服務公司D8AI以研發開源軟體進行知識轉移而達成公司績效目標。將探討企業為何選擇導入人工智慧服務的動機和背後的推動因素及如何創造更多價值，企業內部運營和供應鏈合作關係中的實際應用，協助企業更有效地應對人工智慧服務導入的相關經驗，最終為企業決策者和業界利益關係者提供人工智慧領域的實用建議。人工智慧最顯著的趨勢是技術的普及和開放，人工智慧技術不再僅限於科學實驗室，而是進入了各個產業，促使了更多創新的產品和服務整合專業技術加速了創新，因此建構出以開源軟體進行知識轉移架構是能影響創新績效的因素。本研究訪談了D8AI公司以及進行知識轉移的AI推廣方案合作夥伴，透過質性研究，深入瞭解與探討開源軟體進行知識轉移的過程。本研究得到的主要討論有：（1）開源軟體的快速迭代與更新使企業能夠及時獲取最新技術，且能降低企業的研發人力成本和軟體費用，加速了流程與產品的創新，促進企業績效；（2）D8AI選擇研發合作夥伴的因素包含資源及技術的互補（例如：大型語言模型與語音辨識）與財務能力，合作的動機會因核心能力、研發策略的差異而有所不同；（3）D8AI選擇與第三方機構或大學研究機構進行研發合作的過程中會簽訂保密協定，並以不具直接競爭關係者為主要合作對象，也以政府機構的合作機會為目標，提升彼此競爭力且不影響商業模式；（4）D8AI以自然語言處理為研發核心並培養AI人才，且透過國際性電腦展覽的參與來行銷技術與產品、接觸客戶與吸收市場資訊，未來發展應用將囊括各行各業，以台灣人工智慧產業翹楚為目標。並據於此，本論文最後提出三項實務建議及後續研究建議，以供未來相關領域的廠商及研究者作為參考。

The main purpose of this study is to delve into how the artificial intelligence service company D8AI achieves its performance goals through the development of open-source software for knowledge transfer. It will explore the motivations and driving factors behind enterprises' choice to adopt AI services, how they create more value, and the practical applications within internal operations and supply chain partnerships. This assists enterprises in more effectively coping with the experiences related to the introduction of AI services, ultimately providing practical advice in the AI field for enterprise decision-makers and industry stakeholders.
The most notable trend in artificial intelligence is the popularization and openness of the technology. AI technology is no longer confined to scientific laboratories but has entered various industries, promoting the integration of more innovative products and services with professional technology, thus accelerating innovation. Therefore, constructing a framework for knowledge transfer through open-source software is a factor that can influence innovation performance.
This study interviewed the company D8AI and its partners in the AI promotion program involved in knowledge transfer. Through qualitative research, it deeply understands and explores the process of knowledge transfer through open-source software. The main conclusions of this study are:(1)The rapid iteration and update of open-source software enable enterprises to acquire the latest technology in a timely manner, reduce the cost of R&D manpower and software expenses, accelerate the innovation of processes and products, and promote enterprise performance;(2)The factors that D8AI considers in selecting R&D partners include resource and technical complementarity (e.g., large language models and speech recognition) and financial capability. The motivation for cooperation varies due to differences in core competencies and R&D strategies;(3)During the process of R&D cooperation with third-party institutions or university research institutions, D8AI will sign confidentiality agreements and mainly cooperate with those who do not have direct competitive relationships, targeting opportunities for cooperation with government agencies to enhance mutual competitiveness without affecting business models;(4)D8AI focuses on natural language processing for R&D, nurtures AI talents, participates in international computer exhibitions to market technology and products, engage with customers, and absorb market information. Its future development applications will cover various industries, aiming to be the leader in Taiwan's AI industry.Based on this, the paper finally proposes three practical recommendations and suggestions for follow-up research for reference by future related industry practitioners and researchers.

一、中文部份
OOSGA（2023）。機器學習定義。取自https://zh.oosga.com/docs/machine-learning/
台灣人工智慧學校（2017）。願景使命。取自https://aiacademy.tw/about/
行政院（2023）。台灣AI行動計畫2.0。取自https://digi.nstc.gov.tw/ File/7C71629D702E2D89
呂佳蓉（2017）。客服聊天機器人與自我揭露程度在外送情境下 對消費者行為之影響---以咖啡外送為例（未出版之碩士論文）。國立臺灣師範大學，台北市。
杜建剛（2022）。服務智能化的顧客行為。外國與經濟管理期刊，31（3）。
周詣（2017）。以「破壞式創新」和「資源、流程與價值」觀點檢視 天下雜誌「創新學院」的發展（未出版之碩士論文）。國立臺灣大學，台北市。
徐明洸（2023）。以社會創新觀點推動在地醫療網絡：臺大醫院雲林分院為例（未出版之碩士論文）。國立臺灣大學，臺北市。
張瑾（2011）。創新驅動、創新能力與創新績效關係實證研究—以山東省高科技企業為例。山東經濟學院期刊。6（25）。
陳明輝（2020）。中介者的創新演化歷程-以台灣文化創意產業為例（未出版之碩士論文）。國立政治大學，台北市。
陳惠如（2021）。文創藝術產業社群經營創新模式之研究（未出版之碩士論文）。中國文化大學，台北市。
陳雅函（2019）。電競電腦產業廠商之經營與發展策略分析—以微星公司為例（未出版之碩士論文）。國立臺灣大學，台北市。
黃偉達（2018）。工業物聯網對台灣中小企業創新商業模式之影響以智慧養豬場為例（未出版之碩士論文）。東吳大學，台北市。
劉育成（2019）。如何成為「人」：缺陷及其經驗作為對人工智能研究之啟發-以自動駕駛技術為例（未出版之碩士論文）。南華大學，嘉義縣。
劉國忠（2016）。新創公司商業模式轉型之研究-以 A 公司為例（未出版之碩士論文）。國立臺灣大學，臺北市。
鄭惠慈（2023）。生態系統觀點下的商業模式創新策略 —以樂高集團為例（未出版之碩士論文）。國立政治大學，台北市。
盧正全（2020）。建構企業永續工業4.0系統架構之探討（未出版之碩士論文）。國立台灣師範大學，臺北市。
賴志華（2023）。大數據視角下高新科技產業園區運營管理創新策略之研究（未出版之碩士論文）。國立清華大學，新竹市。
賴志遠（2019）。國實院_國際前沿科技研究計畫簡介：以人工智慧、資料科學及量子科技為例。財團法人國家實驗研究院 。
謝炳吉（2014）。分析影響創新科技商品化的關鍵成功因素-以手機平板電腦周邊商品為例（未出版之碩士論文）。東吳大學，台北市。
豐雲學堂（2023）。CPU與GPU 的差異介紹。取自https://www.sinotrade.com.tw/newweb/RichClub_News_Article/?newsId=64797cb1a4fc4721c0208485
蘇大均（2018）。企業型國家行政院國家發展基金在產業創新中的角色（未出版之碩士論文）。國立臺灣大學，台北市。
蘇凌瑩（2017）。金融科技創新的動態發展循環（未出版之碩士論文）。國立交通大學，新竹市。
二、英文部份
Aksulu, A., & Wade, M. R. (2010). A comprehensive review and synthesis of open source research. Journal of the Association for Information Systems, 11(11), 6.
Awadh, W. H. (2022). FinTech innovation ecosystems. In Transformation Dynamics in FinTech: An Open Innovation Ecosystem Outlook. 161-177
Balogh, L. P. (2018). Balancing Interests of Science, Scientists, and the Publishing Business. Precision Nanomedicine, 1(1), 5-14.
Biallas, M., & O'Neill, F. (2020). Artificial intelligence innovation in financial services. World Bank Publications.
Bianchi, M., Croce, A., Dell'Era, C., Di Benedetto, C. A., & Frattini, F. (2016). Organizing for inbound open innovation: how external consultants and a dedicated R & D unit influence product innovation performance. Journal of Product Innovation Management, 33(4), 492-510.
Bitner, M. J., Ostrom, A. L., & Morgan, F. N. (2008). Service blueprinting: a practical technique for service innovation. California management review, 50(3), 66-94.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
Chesbrough, H. W. (2003). Open innovation: The new imperative for creating and profiting from technology. Harvard Business Press.
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative science quarterly, 128-152.
Curry, E., Metzger, A., Zillner, S., Pazzaglia, J. C., & García Robles, A. (2021). The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem (p. 399). Springer Nature.
De Andrade, I. M., & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestão, 29(3), 238-251.
Den Hertog, P., Van der Aa, W., & De Jong, M. W. (2010). Capabilities for managing service innovation: towards a conceptual framework. Journal of service Management, 21(4), 490-514.
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
Ebersberger, B., Bloch, C., Herstad, S. J., & Van De Velde, E. L. S. (2012). Open innovation practices and their effect on innovation performance. International Journal of Innovation and Technology Management, 9(06), 1250040.
Elam, M., & Reich, R. (2022). Stanford hai artificial intelligence bill of rights.
Fallah, M. R. (2022). Presenting a paradigmatic model for conceptualisation of open innovation ecosystem in start-ups using meta-synthesis approach. International Journal of Technology Management, 88(1), 13-33.
Feuerriegel, S., Shrestha, Y. R., von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611-613.
Gassmann, O., Enkel, E., & Chesbrough, H. (2010). The future of open innovation. R&d Management, 40(3), 213-221.
Geroski, P., Machin, S., & Van Reenen, J. (1993). The profitability of innovating firms. The Rand journal of economics, 198-211.
Gilbert, M., & Cordey-Hayes, M. (1996). Understanding the process of knowledge transfer to achieve successful technological innovation. Technovation, 16(6), 301-312.
Gu, Y., Hu, L., Zhang, H., & Hou, C. (2021). Innovation ecosystem research: emerging trends and future research. Sustainability, 13(20), 11458
Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators?. Research policy, 32(8), 1365-1379.
Harris, J. M. (2000). Basic principles of sustainable development. Dimensions of Sustainable Developmnet, 21-41.
Heygate, R. (1996). Why are we bungling process innovation?. The McKinsey Quarterly, (2), 130.
Hidalgo, A., & Albors, J. (2008). Innovation management techniques and tools: a review from theory and practice. R&d Management, 38(2), 113-127.
Hurmelinna‐Laukkanen, P., Sainio, L. M., & Jauhiainen, T. (2008). Appropriability regime for radical and incremental innovations. R&d Management, 38(3), 278-289.
Huurinainen, J., Torkkeli, M., Viskari, S., & Salmi, P. (2006). Motives, circumstances and driving forces for open innovation: using open source to run profitable business. Lappeenrannan teknillinen yliopisto, Tuotantotalouden osasto.
Inauen, M., & Schenker‐Wicki, A. (2011). The impact of outside‐in open innovation on innovation performance. European journal of innovation management, 14(4), 496-520.
Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The impact of chatbots on customer loyalty: A systematic literature review. Journal of theoretical and applied electronic commerce research, 17(1), 212-229.
Jiang, A. Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., ... & Sayed, W. E. (2024). Mixtral of experts. arXiv preprint arXiv:2401.04088.
Jiang, H., Gao, S., Zhao, S., & Chen, H. (2020). Competition of technology standards in Industry 4.0: An innovation ecosystem perspective. Systems Research and Behavioral Science, 37(4), 772-783.
King, J., & Meinhardt, C. (2024). Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World.
Knoben, J., & Oerlemans, L. A. (2006). Proximity and inter‐organizational collaboration: A literature review. international Journal of management reviews, 8(2), 71-89.
Kramer, M. R., & Porter, M. (2011). Creating shared value (Vol. 17). Boston, MA, USA: FSG.
Krishnamurthy, S. (2005). An analysis of open source business models.
Lawrence, C., Cui, I., & Ho, D. E. (2022). Implementation Challenges to Three Pillars of America’s AI Strategy.
Lélé, S. M. (1991). Sustainable development: a critical review. World development, 19(6), 607-621.
López-Cabarcos, M. Á., Srinivasan, S., & Vázquez-Rodríguez, P. (2020). The role of product innovation and customer centricity in transforming tacit and explicit knowledge into profitability. Journal of Knowledge Management, 24(5), 1037-1057.
Love, J. H., Roper, S., & Du, J. (2009). Innovation, ownership and profitability. International journal of industrial organization, 27(3), 424-434.
Lusch, R. F., & Nambisan, S. (2015). Service innovation. MIS quarterly, 39(1), 155-176.
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 27(4), 12-12.
McDermott, C. M., & O'connor, G. C. (2002). Managing radical innovation: an overview of emergent strategy issues. Journal of Product Innovation Management: an international publication of the product development & management association, 19(6), 424-438.
Menguc, B., Auh, S., & Yannopoulos, P. (2014). Customer and supplier involvement in design: The moderating role of incremental and radical innovation capability. Journal of Product Innovation Management, 31(2), 313-328.
Midgley, D. (2010). The Innovation manual: Integrated strategies and practical tools for bringing value innovation to the market. John Wiley & Sons.
Moore, J. F. (1993). Predators and prey: a new ecology of competition. Harvard business review, 71(3), 75-86
Norman, D. A., & Verganti, R. (2014). Incremental and radical innovation: Design research vs. technology and meaning change. Design issues, 30(1), 78-96.
Pantanowitz, L., Bui, M. M., Chauhan, C., ElGabry, E., Hassell, L., Li, Z., ... & Becich, M. J. (2022). Rules of engagement: promoting academic-industry partnership in the era of digital pathology and artificial intelligence. Academic Pathology, 9(1), 100026.
Park, C. H., von Krogh, G., Stadtfeld, C., Meboldt, M., & Shrestha, Y. R. (2023). Healthcare hackathons as open innovation. Nature Reviews Bioengineering, 1(9), 610-611.
Park, C. H., von Krogh, G., Stadtfeld, C., Meboldt, M., & Shrestha, Y. R. (2023). Healthcare hackathons as open innovation. Nature Reviews Bioengineering, 1(9), 610-611.
Parris, T. M., & Kates, R. W. (2003). Characterizing and measuring sustainable development. Annual Review of environment and resources, 28(1), 559-586.
Pattiradjawane, R. L. (2016). The Indonesian perspective toward rising China: Balancing the national interest. Asian Journal of Comparative Politics, 1(3), 260-282.
Pham, Q. H., & Vu, K. P. (2022). Digitalization in small and medium enterprise: a parsimonious model of digitalization of accounting information for sustainable innovation ecosystem value generation. Asia Pacific Journal of Innovation and Entrepreneurship, 16(1), 2-37.
Pichlak, M., & Szromek, A. R. (2021). Eco-innovation, sustainability and business model innovation by open innovation dynamics. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 149.
Porter, M. E., & Kramer, M. R. (2011). How to reinvent capitalism—and unleash a wave of innovation and growth. Harvard business review, 89(1-2), 62-77.
Prahalad, C. K., & Ramaswamy, V. (2004). The future of competition: Co-creating unique value with customers. Harvard Business Press.
Raymond, E. (1999). The cathedral and the bazaar. Knowledge, Technology & Policy, 12(3), 23-49.
Ritala, P., & Hurmelinna‐Laukkanen, P. (2013). Incremental and radical innovation in coopetition—The role of absorptive capacity and appropriability. Journal of product innovation management, 30(1), 154-169.
Rong, K., Li, B., Peng, W., Zhou, D., & Shi, X. (2021). Sharing economy platforms: Creating shared value at a business ecosystem level. Technological Forecasting and Social Change, 169, 120804.
Shrestha, Y. R., von Krogh, G., & Feuerriegel, S. (2023). Building open-source AI. Nature Computational Science, 3(11), 908-911.
Shrestha, Y. R., von Krogh, G., & Feuerriegel, S. (2023). Building open-source AI. Nature Computational Science, 3(11), 908-911.
Shvetsova, O. A., & Lee, S. K. (2021). Living labs in university-industry cooperation as a part of innovation ecosystem: Case study of south korea. Sustainability (Switzerland), 13(11).
Team, G., Mesnard, T., Hardin, C., Dadashi, R., Bhupatiraju, S., Pathak, S., ... & Kenealy, K. (2024). Gemma: Open models based on gemini research and technology. arXiv preprint arXiv:2403.08295.
Tomic, S. D. K. (2018). How artificial intelligence (AI) innovators profit from innovation in digital platform ecosystems: an explorative business model study (Unpublished Master’s Thesis). Universitätsbibliothek Wien, Austria.
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M. A., Lacroix, T., ... & Lample, G. (2023). Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971.
Van Dis, E. A., Bollen, J., Zuidema, W., Van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224-226.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
Wang, F., Su, Q., & Zhang, Z. (2024). The influence of collaborative innovation network characteristics on firm innovation performance from the perspective of innovation ecosystem. Kybernetes, 53(4), 1281-1305.
White, M., Haddad, I., Osborne, C., Abdelmonsef, A., & Varghese, S. (2024). The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI. arXiv preprint arXiv:2403.13784.
Xie, X., & Wang, H. (2020). How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis. Journal of Business Research, 108, 29-41
Yin, R. K. (2003). Designing case studies. Qualitative research methods, 5(14), 359-386.