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    題名: 探討 AIaaS 生態系的建立及其對服務創新的影響—以台智雲為例
    Exploring the Establishment of the AIaaS Ecosystem and Its Impact on Service Innovation - A Case Study of Taiwan Web Service
    作者: 黃鈺婷
    Huang, Yu-Ting
    貢獻者: 吳豐祥
    黃鈺婷
    Huang, Yu-Ting
    關鍵詞: 人工智慧即服務
    創新生態系
    服務創新
    動態服務創新能耐
    核心能耐
    人 工智慧
    雲端運算
    雲端服務
    Artificial Intelligence as a Service (AIaaS)
    Innovation Ecosystem
    Service Innovation
    Dynamic Service Innovation Capabilities
    Core Competencies
    Artificial Intelligence
    Cloud Computing
    Cloud Service
    日期: 2024
    上傳時間: 2024-08-05 13:07:39 (UTC+8)
    摘要: 隨著人工智慧與雲端運算的發展、技術迭代速度極快，其應用已成為主流市場發展趨勢，而結合人工智慧與雲端運算之人工智慧即服務（AIaaS）產業也越發蓬勃，國際上科技巨頭如Amazon、Google、Microsoft等也投入大量的資源布局於此，我國政府亦透過政策推動國內整體AI相關產業的發展。而服務創新是企業取得競爭優勢的關鍵之一，但AIaaS鑑於服務產業的特性，其服務創新相較於產品創新面臨更多的挑戰，如更具模糊性和風險性。因此，在此產業中實現創新往往會涉及一系列的參與者，廣泛的應用和技術發展都需要眾多企業的合作，故現今國際上各科技巨頭皆建立起其生態系，以有效促進服務創新。然而因AIaaS為新興產業，故以此產業為研究背景的文獻相對較缺乏，為了彌補此研究缺口，本研究從生態系的觀點出發，以我國AIaaS業者為研究對象，透過質性研究的方法，探討其在AIaaS產業中建構生態系的脈絡與樣貌，並且分析該生態系的建構與企業服務創新之間的關聯性。本研究所得到的主要結論如下：
    結論一、我國AIaaS業者在創新生態系的建立上，會積極整合供應商、顧客、政府單位和學研機構，以適應快速迭代的AI與雲端技術並維持競爭力。也會透過多種互動與競合關係來強化其市場發展與創新績效。
    結論二、我國AIaaS業者之創新生態系的建立，有助於其多項動態服務創新能耐與核心能耐的發展，特別是具「延展性」及「難以模仿性」的核心能耐，以及具「偵測顧客需求以及技術選擇」與「構思」的動態服務創新能耐。
    結論三、我國AIaaS業者之創新生態系的建立，會直接影響其服務創新內涵中較為內部導向的「新價值傳遞系統」之產生，也會間接透過組織能耐的積累來促成其較為外部導向的「新服務概念」、「新顧客互動」、「新技術選擇」等服務創新。
    並據於此，本論文最後也進一步提出本研究之三項理論意涵、三項實務建議以及後續研究建議。
    With the rapid development of artificial intelligence and cloud computing, their application has become a mainstream trend in market development. The industry of Artificial Intelligence-as-a-Service (AIaaS) has burgeoned, with global technology giants like Amazon, Google, and Microsoft investing significant resources in this area. The government in our country has also been promoting the development of the domestic AI-related industry through policy initiatives. Service innovation remains a critical competitive advantage for firms; however, in the AIaaS sector, due to the service industry's characteristics, service innovation faces more challenges than product innovation, such as increased ambiguity and risk. Achieving innovation in this industry often involves a plethora of participants, requiring extensive collaboration among various enterprises to address the broad applications and technological needs. Consequently, global tech giants have established their ecosystems to effectively promote service innovation. However, given that AIaaS is an emerging industry, the literature on this topic is relatively scarce. To address this research gap, this study adopts an ecosystem perspective, focusing on AIaaS providers in our country. Utilizing qualitative research methods, this study explores how these providers construct their ecosystems within the AIaaS industry and examines the relationship between ecosystem construction and corporate service innovation. The primary conclusions of this research are as follows:
    Conclusion 1: AIaaS providers in Taiwan proactively integrate suppliers, customers, governmental bodies, and academic and research institutions in establishing innovation ecosystems to adapt to the rapid iteration of AI and cloud technologies and sustain competitiveness. They also strengthen market development and innovation performance through various interactive and coopetitive relationships.
    Conclusion 2: The establishment of innovation ecosystems by Taiwan's AIaaS providers enhances their dynamic service innovation capabilities and core competencies, particularly those that are "scalable" and "difficult to imitate." It also includes capabilities in "detecting customer needs and technology selection" and "conceptualization."
    Conclusion 3: The establishment of innovation ecosystems by AIaaS providers in Taiwan directly influences the creation of more internally oriented new value delivery systems within their service innovation content. It also indirectly fosters more externally oriented innovations such as new service concepts, new customer interactions, and new technology selections through the accumulation of organizational capabilities.
    Based on these findings, this thesis also proposes three theoretical implications, three practical recommendations, and suggestions for further research.
    參考文獻: Adner, R. (2006). Match your innovation strategy to your innovation ecosystem. Harvard Business Review, 84(4), 98.
    Adner, R., & Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306-333.
    Akter, S., Hossain, M. A., Sajib, S., Sultana, S., Rahman, M., Vrontis, D., & McCarthy, G. (2023). A framework for AI-powered service innovation capability: Review and agenda for future research. Technovation, 125, 102768.
    Arshad, A. M., & Su, Q. (2015). Interlinking service delivery innovation and service quality: A conceptual framework. Journal of Applied Business Research, 31(5), 1807.
    Autio, E., & Thomas, L. (2014). Innovation ecosystems. In The Oxford Handbook of Innovation Management (pp. 204-288). Oxford University Press.
    Baines, T., Lightfoot, H., Smart, P., & Fletcher, S. (2013). Servitization of manufacture: Exploring the deployment and skills of people critical to the delivery of advanced services. Journal of Manufacturing Technology Management, 24(4), 637-646.
    Banh, L., & Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(1), 63.
    Beaudry, C., Burger-Helmchen, T., & Cohendet, P. (2021). Innovation policies and practices within innovation ecosystems. In Taylor & Francis (Vol. 28, pp. 535-544).
    Carayannis, E. G., & Campbell, D. F. (2009). 'Mode 3' and 'Quadruple Helix': Toward a 21st-century fractal innovation ecosystem. International Journal of Technology Management, 46(3-4), 201-234.

    Clarysse, B., Wright, M., Bruneel, J., & Mahajan, A. (2014). Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems. Research Policy, 43(7), 1164-1176.
    de Vasconcelos Gomes, L. A., Facin, A. L. F., Salerno, M. S., & Ikenami, R. K. (2018). Unpacking the innovation ecosystem construct: Evolution, gaps, and trends. Technological Forecasting and Social Change, 136, 30-48.
    Den Hertog, P., & Bilderbeek, R. (1999). Conceptualising service innovation and service innovation patterns. Research Programme on Innovation in Services (SIID) for the Ministry of Economic Affairs, Dialogic, Utrecht.
    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.
    Dodgson, M., Gann, D. M., & Phillips, N. (Eds.). (2013). The Oxford Handbook of Innovation Management. OUP Oxford.
    Enginoğlu, D., & Arikan, C. L. (2016). A literature review on core competencies. International Journal of Management (IJM), 7(3), 120-127.
    Frei, F. X. (2008). The four things a service business must get right. Harvard Business Review, 86(4), 70-80.
    Gallouj, F., & Weinstein, O. (1997). Innovation in services. Research Policy, 26(4-5), 537-556.
    Gastermann, B., Stopper, M., Kossik, A., & Katalinic, B. (2015). Secure implementation of an on-premises cloud storage service for small and medium-sized enterprises. Procedia Engineering, 100, 574-583.
    Geissdoerfer, M., Vladimirova, D., Van Fossen, K., & Evans, S. (2018). Product, service, and business model innovation: A discussion. Procedia Manufacturing, 21, 165-172.
    Granstrand, O., & Holgersson, M. (2020). Innovation ecosystems: A conceptual review and a new definition. Technovation, 90, 102098.
    Gu, Y., Hu, L., Zhang, H., & Hou, C. (2021). Innovation ecosystem research: Emerging trends and future research. Sustainability, 13(20), 11458.
    Hipp, C., & Grupp, H. (2005). Innovation in the service sector: The demand for service-specific innovation measurement concepts and typologies. Research Policy, 34(4), 517-535.
    Huang, H., Chen, J., Yu, F., & Zhu, Z. (2019). Establishing the enterprises’ innovation ecosystem based on dynamics core competence—The case of China’s high-speed railway. Emerging Markets Finance and Trade, 55(4), 843-862.
    Iansiti, M., & Levien, R. (2004). Strategy as ecology. Harvard Business Review, 82(3), 68-78
    Isenberg, D. J. (2010). How to start an entrepreneurial revolution. Harvard Business Review, 88(6), 40-50.
    Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255-2276.
    Javidan, M. (1998). Core competence: What does it mean in practice? Long Range Planning, 31(1), 60-71.
    Koskela-Huotari, K., Edvardsson, B., Jonas, J. M., Sörhammar, D., & Witell, L. (2016). Innovation in service ecosystems—Breaking, making, and maintaining institutionalized rules of resource integration. Journal of Business Research, 69(8), 2964-2971.
    LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.

    Lei, D., Hitt, M. A., & Bettis, R. (1996). Dynamic core competences through meta-learning and strategic context. Journal of Management, 22(4), 549-569.
    Leonard‐Barton, D. (1992). Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal, 13(S1), 111-125.
    Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Sage.
    Lins, S., Pandl, K. D., Teigeler, H., Thiebes, S., Bayer, C., & Sunyaev, A. (2021). Artificial intelligence as a service: Classification and research directions. Business & Information Systems Engineering, 63, 441-456.
    Lütjen, H., Schultz, C., Tietze, F., & Urmetzer, F. (2019). Managing ecosystems for service innovation: A dynamic capability view. Journal of Business Research, 104, 506-519.
    Mahavarpour, N., Marvi, R., & Foroudi, P. (2023). A brief history of service innovation: The evolution of past, present, and future of service innovation. Journal of Business Research, 160, 113795.
    Malerba, F., & Orsenigo, L. (1996). Schumpeterian patterns of innovation are technology-specific. Research Policy, 25(3), 451-478.
    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.
    Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.
    Mercan, B., & Goktas, D. (2011). Components of innovation ecosystems: A cross-country study. International Research Journal of Finance and Economics, 76(16), 102-112.
    Moore, J. F. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75-86.
    Opazo-Basáez, M., Vendrell-Herrero, F., & Bustinza, O. F. (2022). Digital service innovation: A paradigm shift in technological innovation. Journal of Service Management, 33(1), 97-120.
    Nambisan, S. (2013). Information technology and product/service innovation: A brief assessment and some suggestions for future research. Journal of the Association for Information Systems, 14(4), 1.
    Pandl, K. D., Thiebes, S., Schmidt-Kraepelin, M., & Sunyaev, A. (2020). On the convergence of artificial intelligence and distributed ledger technology: A scoping review and future research agenda. IEEE Access, 8, 57075-57095.
    Petts, N. (1997). Building growth on core competences—a practical approach. Long Range Planning, 30(4), 551-561.
    Prahalad, C. K., & Hamel, G. (2009). The core competence of the corporation. In Knowledge and Strategy (pp. 41-59). Routledge.
    Russell, M. G., & Smorodinskaya, N. V. (2018). Leveraging complexity for ecosystemic innovation. Technological Forecasting and Social Change, 136, 114-131.
    Scaringella, L., & Radziwon, A. (2018). Innovation, entrepreneurial, knowledge, and business ecosystems: Old wine in new bottles? Technological Forecasting and Social Change, 136, 59-87.
    Schuster, M., & Paliwal, K. K. (1997). Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing, 45(11), 2673-2681.
    Shinde, P. P., & Shah, S. (2018). A review of machine learning and deep learning applications. Paper presented at the 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).
    Spigel, B. (2017). The relational organization of entrepreneurial ecosystems. Entrepreneurship Theory and Practice, 41(1), 49-72.
    Tampoe, M. (1994). Exploiting the core competences of your organization. Long Range Planning, 27(4), 66-77.

    Tansley, A. G. (1935). The use and abuse of vegetational concepts and terms. Ecology, 16(3), 284-307.
    Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285-305.
    Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533.
    Toivonen, M., & Tuominen, T. (2009). Emergence of innovations in services. The Service Industries Journal, 29(7), 887-902.
    Tsujimoto, M., Kajikawa, Y., Tomita, J., & Matsumoto, Y. (2018). A review of the ecosystem concept—Towards coherent ecosystem design. Technological Forecasting and Social Change, 136, 49-58.
    Van der Aa, W., & Elfring, T. (2002). Realizing innovation in services. Scandinavian Journal of Management, 18(2), 155-171.
    Witell, L., Snyder, H., Gustafsson, A., Fombelle, P., & Kristensson, P. (2016). Defining service innovation: A review and synthesis. Journal of Business Research, 69(8), 2863-2872.
    Yin, R. K. (2003). Designing case studies. In Qualitative Research Methods, 5(14), 359-386.
    Zapadka, P., Hanelt, A., Firk, S., & Oehmichen, J. (2020). Leveraging “AI-as-a-Service” – Antecedents and consequences of using artificial intelligence boundary resources.
    Zhao, X. (2021). Cooperation and competition in the innovation ecosystem from the perspective of evolutionary psychology. Frontiers in Psychology, 12, 769847
    吳豐祥. (2004.5.29). 什麼是企業的核心能耐. 經濟日報.
    鈕文英. (2021). 質性研究方法與論文寫作. 雙葉書廊有限公司.
    林淑馨. (2010). 質性研究：理論與實務. 巨流圖書公司.
    Orion market research. (2023). AIaaS（人工智能即服務）全球市場 2023-2030. https://www.gii.tw/report/omr1270932-global-artificial-intelligence-service-market.html
    工商時報. (2024). 打造AI共創生態系 台智雲加速器進駐亞灣新創園. 中時新聞網. https://www.chinatimes.com/newspapers/20240314000423-260210?chdtv
    台灣智慧雲端股份有限公司官方網站https://tws.twcc.ai/
    行政院. (2019). 台灣AI行動計畫—掌握契機，全面啟動產業AI化. https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/a8ec407c-6154-4c14-8f1e-d494ec2dbf23
    行政院. (2023). 臺灣 AI 行動計畫 2.0. https://digi.nstc.gov.tw/File/7C71629D702E2D89/e8ccec35-9e42-431c-b778-45dae073d5b5?A=C
    經濟部中小及新創企業署. (2023). 企業加速器 - 2023創育成果數位專輯. 數位時代. https://edm.bnext.com.tw/2023creative/a02.html
    描述: 碩士
    國立政治大學
    科技管理與智慧財產研究所
    111364136
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0111364136
    資料類型: thesis
    顯示於類別:[科技管理與智慧財產研究所] 學位論文

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