近年來學術研究機構研發成果商品化的重要性逐漸受到重視，歐洲、美國等其他先進國家也漸漸重視產學合作。台灣亦非常重視這方面的發展，因此持續投入「科研成果價值創造計畫(價創2.0)、產業高階人才培訓計畫 （RAISE）、博士創新之星計畫（LEAP）、產業創新人才海外培訓計畫 (X Talent )」 之法人執行單位、產業界、學術界等研發補助， 以加速產業升級與價值創造。學術研究機構的主要任務在技術研發與知識擴散，對於技術商業化與衍生創業活動的操作細節並不了解，也沒有完整通盤考量過程中的諸多關鍵成功因素，因而導致高等學術機構進行技術商業化與衍生創業的成效不如預期。

由於創業過程牽涉的活動相當複雜，而且一般技術創業團隊成員主要為技術背景，缺乏市場相關知識 ，因此進行創新創業時，面臨到很大的挑戰。本研究從知識管理的觀點出發，並依據研究目的，先進行相關文獻的探討，再提出一個的完整研究架構，包含「知識管理影響因素」與「創業活動」 兩大領域。將技術創業過程分為研究開發、技術衍化、商業轉化、新事業四階段，深入探討各階段中，關鍵知識的差異與變化，並以高科技創業十項原則為理論透鏡，並整理規納至三面向的框架，從而對創業衍生企業起到指導性的作用。

本研究透過個案研究，得到的結論主要包括：高等學術機構衍生企業的創業過程中，「研究開發期」之主要目標為產品與技術開發以及建立核心技術，其關鍵知識為「技術知識」。「商業轉化期」之主要目標為技術商業化，其關鍵知識為「技術知識」與「市場知識」。「經營維持期」的主要目標為產品上市與營運獲利，關鍵知識為「市場知識」與「管理知識」。產學合作最終是為了實現產業界與學術界之參與式價值創造的過程，透過雙方有效的積極參與相關研究專利的討論，進而開發出更多商業價值的解決方案，本論文研究最後並提出實務上的建議。

In recent years, Importance of the commercialization of university-based research has been valued highly. For example, Europe and the United States have gradually attached importance to "Industry-Academy Cooperation". Taiwan also attached great importance to the development of Industry-Academia Research Collaboration and continues to invest the variety projects such as "Technology Development Program (Value 2.0), High-Level Industrial Professionals Cultivation Program (RAISE), and LEAP, Industrial Innovation Talent Overseas Training Program (X Talent)" to accelerate industrial upgrading and value creation.

Furthermore, the main tasks of academic research institutions are technology research and development also knowledge expansion. They do not understand the operational details of technology commercialization and spin-off activities, nor do they have a complete and comprehensive consideration of many critical success factors in the process. As a result, the results of technology commercialization and entrepreneurship spin-off in higher academic institutions are not as good as expected.

Because the activities in the entrepreneurial process are pretty complicated, and the general technology entrepreneurial team members are mainly in technical backgrounds and lack market knowledge, they face significant challenges while conducting innovation and entrepreneurship.

This study starts from the knowledge management perspective and, according to the purpose of the research, discusses the relevant literature first. Then proposes a complete research structure, including the two dimensions of "knowledge management factors" and "entrepreneurship activities". Next, technological entrepreneurship is divided into four stages: research and development, technological derivation, business transformation, and new business. Finally, in-depth discussion of the differences in crucial knowledge in each stage, taking the ten principles of high-tech entrepreneurship as the theoretical lens and organizing the framework into three aspects.

Through case studies, the conclusions of this research mainly include the discussion of derivative entrepreneurship in higher research institutions. The main goal of the "Research and Development stage" is product and technology development and the establishment of core technologies, and its vital knowledge is "technical knowledge"; "Business Transformation stage" objective is technology commercialization, its critical knowledge is "technical knowledge" and "market knowledge"; The main objectives of the "Maintenance stage" are product launch and operating profit, and the critical knowledge is "market knowledge" and "management knowledge".

"Industry-Academy Cooperation" is ultimately a process of participatory value creation between industry and academia. Through the practical and active participation of both parties in discussing relevant research patents and development with more commercial value, this research will put forward practical suggestions.

第一章 緒論 1
第一節 、前言 1
第二節 、研究背景與動機 1
第三節 、研究目的 3
第二章 文獻探討 4
第一節 、產學合作概念 4
第二節 、創業管理理論 6
第三節 、創業流程 8
第四節 、創業十原則 12
第五節 、知識管理與知識類型 15
(一) 、技術知識 (Technology Knowledge) 15
(二) 、市場知識 (Market knowledge) 16
(三) 、組織營運管理知識 16
第六節 、小結 18
第三章 、研究方法 19
第一節 、研究架構 19
第二節 、研究方法 20
第三節 、研究對象 21
第四節 、資料收集方法 22
(一) 、初級資料 23
(二) 、次級資料 24
第四章 智慧醫療產業簡介 25
第一節 、智慧醫療定義 25
第二節 、智慧醫療發展流程 27
第三節 、台灣長照政策之現況及健康老化的推動 29
第五章 、個案研究 31
第一節 、個案介紹 31
(一) 、研究開發期 31
(二) 、商業轉化期 32
(三) 、衍生創業期 33
(四) 、新事業期 35
第二節 、衍生創業績效 36
(一) 醫療健康經紀人 36
(二) 智慧醫療軟體應用 36
評估量測眼瞼下垂程度之軟體系統 36
洗腎過程不良事件即時預測決策輔助系統 37
第三節 、知識管理 39
第六章 、 個案分析與探討 42
第一節 、個案研發團隊衍生創業各階段之關鍵知識與探討 42
(一) 、研究開發期 43
(二) 、 商業轉化期 45
(三) 、新事業期 46
第七章 、結論與建議 49
第一節 、研究結論 49
第二節 、實務上的建議 52
參考文獻 53
附錄：個案訪談結果 56

Alvarez, S. A., & Busenitz, L. W. (2001). The entrepreneurship of resource-based theory. Journal of Management, 27(6), 755-775. https://doi.org/10.1177/014920630102700609
Barnes, T., Pashby, I., & Gibbons, A. (2002). Effective University – Industry Interaction:: A Multi-case Evaluation of Collaborative R&D Projects. European Management Journal, 20(3), 272-285. https://doi.org/https://doi.org/10.1016/S0263-2373(02)00044-0
Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
Bektaş, Ç., & Tayauova, G. (2014). A Model Suggestion for Improving the Efficiency of Higher Education: University–Industry Cooperation. Procedia - Social and Behavioral Sciences, 116, 2270-2274. https://doi.org/https://doi.org/10.1016/j.sbspro.2014.01.558
Bell, C. G., & McNamara, J. E. (1991). High-tech Ventures: The Guide For Entrepreneurial Success.
Bohn, R. E. (1997). Measuring and managing technological knowledge. IEEE engineering management review, 25(4), 77-88.
Burgelman, R. A. (1989). Technology strategy : an evolutionary process perspective [Aufsatz in Zeitschrift, Article in journal]. Research on technological innovation, management and policy : a research annual, 4, 1-23.
Carter, N. M., Gartner, W. B., & Reynolds, P. D. (1996). Exploring start-up event sequences. Journal of Business Venturing, 11(3), 151-166. https://doi.org/https://doi.org/10.1016/0883-9026(95)00129-8
Chen, H. C., Tzeng, S. S., Hsiao, Y. C., Chen, R. F., Hung, E. C., & Lee, O. K. (2021). Smartphone-Based Artificial Intelligence-Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study. JMIR Mhealth Uhealth, 9(10), e32444. https://doi.org/10.2196/32444
D'Este, P., & Patel, P. (2007). University-industry linkages in the UK: What are the factors underlying the variety of interactions with industry? Research Policy, 36(9), 1295-1313. https://EconPapers.repec.org/RePEc:eee:respol:v:36:y:2007:i:9:p:1295-1313
Day, G. S. (1994). The capabilities of market-driven organizations. Journal of marketing, 58(4), 37-52.
Delmar, F., & Shane, S. (2004). Legitimating first: organizing activities and the survival of new ventures. Journal of Business Venturing, 19(3), 385-410. https://doi.org/https://doi.org/10.1016/S0883-9026(03)00037-5
Etzkowitz, H. (2003). Innovation in Innovation: The Triple Helix of University-Industry-Government Relations. Social Science Information, 42(3), 293-337. https://doi.org/10.1177/05390184030423002
Fiol, C. M., & Lyles, M. A. (1985). Organizational learning. The Academy of Management Review, 10, 803-813. https://doi.org/10.2307/258048
Garrity, E. J., & Sipior, J. C. (1994). Multimedia as a vehicle for knowledge modeling in expert systems. Expert Systems with Applications, 7(3), 397-406. https://doi.org/https://doi.org/10.1016/0957-4174(94)90003-5
Gartner, W. B. (1985). A conceptual framework for describing the phenomenon of new venture creation. Academy of management review, 10(4), 696-706.
Hendriks, P. (1999). Why share knowledge? The influence of ICT on the motivation for knowledge sharing. Knowledge and Process Management, 6(2), 91-100. https://doi.org/https://doi.org/10.1002/(SICI)1099-1441(199906)6:2<91::AID-KPM54>3.0.CO;2-M
Hill, S., Ionescu-Somers, A., Coduras, A., Guerrero, M., Roomi, M. A., Bosma, N., Sahasranamam, S., & Shay, J. (2022). Global Entrepreneurship Monitor 2021/2022 Global Report: Opportunity Amid Disruption. Expo 2020 Dubai,
Holt, D. H. (1992). Entrepreneurship: New venture creation.
Katz, J., & Gartner, W. B. (1988). Properties of emerging organizations. The Academy of Management Review, 13(3), 429-441. https://doi.org/10.2307/258090
Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: the construct, research propositions, and managerial implications. Journal of marketing, 54(2), 1-18.
Liu, Y. S., Yang, C. Y., Chiu, P. F., Lin, H. C., Lo, C. C., Lai, A. S., Chang, C. C., & Lee, O. K. (2021). Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study. J Med Internet Res, 23(9), e27098. https://doi.org/10.2196/27098
Marijan, D., & Sen, S. (2022). Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns. ACM Trans. Softw. Eng. Methodol., 31(3), Article 45. https://doi.org/10.1145/3494519
Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of marketing, 54(4), 20-35.
Plewa, C., Korff, N., Baaken, T., & Macpherson, G. (2013). University–industry linkage evolution: an empirical investigation of relational success factors. R&D Management, 43(4), 365-380. https://doi.org/https://doi.org/10.1111/radm.12021
Ripsas, S. (1998). Towards an Interdisciplinary Theory of Entrepreneurship. Small Business Economics, 10(2), 103-115. https://doi.org/10.1023/A:1007975330428
Santoro, M. D., & Chakrabarti, A. K. (2002). Firm size and technology centrality in industry-university interactions. Research Policy, 31(7), 1163-1180. https://EconPapers.repec.org/RePEc:eee:respol:v:31:y:2002:i:7:p:1163-1180
Schulz, M. (2001). The Uncertain Relevance of Newness: Organizational Learning and Knowledge Flows. The Academy of Management Journal, 44(4), 661-681. https://doi.org/10.2307/3069409
Şenol, O. (2009). PAMUKKALE ÜNİVERSİTESİ ÖĞRETİM ELEMANLARININ ÜNİVERSİTE-SANAYİ İŞBİRLİĞİ ÇALIŞMALARINA BAKIŞLARI ÜZERİNE BİR ALAN ARAŞTIRMASI. Selçuk-Teknik Dergisi, 8(2), 94-111.
Shane, S. A. (2005). 科技創業聖經-如何找到下一個微軟. (台灣培生教育出版)
Souder, W. E. (1987). Managing New Product Innovations. (Lexington)
Steele, L. W. (1989). Managing technology: the strategic view. (New York : McGraw-Hill)
Timmons, J. A. (1999). New Venture Creation. McGraw-Hill Education (India) Pvt Limited. https://books.google.com.tw/books?id=9GwdTutS-UoC
uit Beijerse, R. P. (2000). Knowledge management in small and medium‐sized companies: knowledge management for entrepreneurs. Journal of Knowledge Management, 4(2), 162-179. https://doi.org/10.1108/13673270010372297
WHO. (2019). Global diffusion of eHealth: Making universal health coverage achievable.
Yin, R. K. (1994). Case Study Research: Design and Methods. SAGE Publications. https://books.google.com.tw/books?id=AvYOAQAAMAAJ
Yin, R. K. (2009). Case study research: Design and methods (Vol. 5). sage.
吳清山, & 林天祐. (2004). 產學合作. 教育資料與研究, 59, 115.
科技部. (2020). 精準健康與醫療的創新模式：跨部會觀點.
科技部. (2021). 科學技術統計要覽.
經濟部中小企業處. (2021). 創育成果數位專題. https://edm.bnext.com.tw/2021creative/ (經濟部中小企業處)
經濟部技術處. (2020). 科技專案執行年報. https://www.moea.gov.tw/MNS/doit/publication/Publication.aspx?menu_id=13400&pub_id=5982 (經濟部技術處)
胡欣怡. 從知識管理觀點探討研究機構研發團隊之衍生創業. 國立政治大學科技管理與智慧財產研究所博士論文. (台北市)
陳儀澤. (2001). 知識管理架構之建立與個案研究 [國立臺北大學企業管理學系碩士論文]. (新北市)
陳書璿. (2021). 醫材界的台灣之光 台廠祕密武器橫掃全美8成市占. https://tw.stock.yahoo.com/news/%E9%81%A0%E8%B7%9D%E9%86%AB%E6%9D%90%E5%A4%A7%E9%9D%A9%E6%96%B02-%E9%86%AB%E6%9D%90%E7%95%8C%E7%9A%84%E5%8F%B0%E7%81%A3%E4%B9%8B%E5%85%89-%E5%8F%B0%E5%BB%A0%E7%A5%95%E5%AF%86%E6%AD%A6%E5%99%A8%E6%A9%AB%E6%8E%83%E5%85%A8%E7%BE%8E8%E6%88%90%E5%B8%82%E5%8D%A0-215857189.html
駱玉盛, 葉忠祐, 余秋琄, 杜堃鴻, 余錫銘, & 張于倩. (2016). 兩岸學術機構技術移轉成功關鍵因素探討-以大陸北京大學、北京清華大學及台灣交通大學為例. 科技背景跨領域高級人才計畫海外培訓成果發表會. (國立政治大學科技管理研究所與智慧財產研究所執行)