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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 5-Aug-2024 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. 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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 dc.contributor.advisor 吳豐祥 zh_TW dc.contributor.author (Authors) 黃鈺婷 zh_TW dc.contributor.author (Authors) Huang, Yu-Ting en_US dc.creator (作者) 黃鈺婷 zh_TW dc.creator (作者) Huang, Yu-Ting en_US dc.date (日期) 2024 en_US dc.date.accessioned 5-Aug-2024 13:07:39 (UTC+8) - dc.date.available 5-Aug-2024 13:07:39 (UTC+8) - dc.date.issued (上傳時間) 5-Aug-2024 13:07:39 (UTC+8) - dc.identifier (Other Identifiers) G0111364136 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/152661 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 科技管理與智慧財產研究所 zh_TW dc.description (描述) 111364136 zh_TW dc.description.abstract (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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的與問題 2 第三節 論文結構 3 第二章 文獻探討 4 第一節 人工智慧即服務 (AIaaS) 4 第二節 生態系統 13 第三節 服務創新 19 第四節 核心能耐 25 第五節 生態系、服務創新與組織能耐 26 第六節 文獻探討小節 27 第三章 研究方法 29 第一節 研究架構 29 第二節 研究變項說明 30 第三節 研究設計 34 第四章 個案探討 37 第一節 個案公司背景 37 第二節 創新生態系 42 第三節 組織能耐 53 第四節 服務創新 58 第五節 個案彙整 60 第五章 研究發現與討論 65 第六章 研究結論與建議 71 第一節 研究結論 71 第二節 理論貢獻與意涵 74 第三節 實務建議 75 第四節 後續研究建議 76 參考文獻 77 附件 84 zh_TW dc.format.extent 2348483 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111364136 en_US dc.subject (關鍵詞) 人工智慧即服務 zh_TW dc.subject (關鍵詞) 創新生態系 zh_TW dc.subject (關鍵詞) 服務創新 zh_TW dc.subject (關鍵詞) 動態服務創新能耐 zh_TW dc.subject (關鍵詞) 核心能耐 zh_TW dc.subject (關鍵詞) 人 工智慧 zh_TW dc.subject (關鍵詞) 雲端運算 zh_TW dc.subject (關鍵詞) 雲端服務 zh_TW dc.subject (關鍵詞) Artificial Intelligence as a Service (AIaaS) en_US dc.subject (關鍵詞) Innovation Ecosystem en_US dc.subject (關鍵詞) Service Innovation en_US dc.subject (關鍵詞) Dynamic Service Innovation Capabilities en_US dc.subject (關鍵詞) Core Competencies en_US dc.subject (關鍵詞) Artificial Intelligence en_US dc.subject (關鍵詞) Cloud Computing en_US dc.subject (關鍵詞) Cloud Service en_US dc.title (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 zh_TW dc.title (題名) Exploring the Establishment of the AIaaS Ecosystem and Its Impact on Service Innovation - A Case Study of Taiwan Web Service en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Adner, R. 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