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    政大機構典藏 > 教育學院 > 教育學系 > 學位論文 >  Item 140.119/158747
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/158747


    Title: 我國科技大學智慧製造領域產學研發合作之模式與績效影響因素探究
    Exploring the models and performance-influencing factors of industry-university R&D collaboration in smart manufacturing at Taiwan’s universities of science and technology
    Authors: 洪嘉音
    Hong, Jia-Yin
    Contributors: 陳榮政
    Chen, Jung-Cheng
    洪嘉音
    Hong, Jia-Yin
    Keywords: 科技大學
    智慧製造
    產學合作研發模式
    績效影響因素
    University of science and technology
    Smart manufacturing
    Industry-university R&D collaboration models
    Performance-influencing factors
    Date: 2025
    Issue Date: 2025-08-04 15:28:42 (UTC+8)
    Abstract: 隨著全球數位轉型與智慧製造浪潮興起,我國科技大學在國家創新體系與產業升級中扮演關鍵角色。本研究旨在探討科技大學於智慧製造領域的產學合作模式,分析影響研發合作績效的關鍵因素,並比較學界與業界對影響因素的認知差異。研究採混合方法,第一階段進行學界與業界半結構式訪談,探討產學合作模式;第二階段以問卷調查搭配與IPA分析,分析實務觀點中的績效影響因素。
    本研究在質性分析中歸納出三種主要的產學合作模式:需求驅動型、平臺導向型與網絡生態型,各具不同信任基礎與運作特性。需求驅動型強調教師個人聲譽與技術能力,靈活但穩定性較低;平臺導向型由制度統籌資源,提升穩定性但彈性不足;網絡生態型依賴多元行動者互動,促進創新生態,但難以規模化。量化分析顯示產學雙方重視短期資源與成果,忽視前提條件與治理,學界偏重學術指標,企業則著重技術落地與人才接軌,反映雙方合作文化差異。
    本研究基於上述研究發現,進一步歸納出以下結論:
    一、合作模式無優劣之分,應依情境靈活調整與互補
    二、產學角色關係正由分立走向螺旋交織
    三、產學合作須由專案管理邏輯轉向生態建構願景
    綜上所述,本研究強調產學合作發展不宜僅以單一模式或標準化指標評斷成效,而應依合作階段、目標與情境靈活調整,並鼓勵三種模式在實務中交錯互補、動態共存。同時,合作關係亦應從傳統分立主體的角色定位,逐步邁向螺旋交織與共同調適,形塑多層次、長期互信的夥伴關係。未來產學合作發展更應超越專案管理的短期績效思維,朝向建構開放、彈性且具韌性的創新生態系統,以因應智慧製造技術快速變革與國際競爭挑戰,並實現產業升級與社會永續發展的共同願景。
    With the rise of global digital transformation and smart manufacturing, universities of science and technology in Taiwan play a critical role in the national innovation system and industrial upgrading. This study aims to explore the models of industry-university collaboration in the field of smart manufacturing, analyze key factors influencing R&D performance, and compare the differing perceptions of these factors between academia and industry. A mixed-methods approach was adopted: the first stage involved semi-structured interviews with academic and industry representatives to identify collaboration models; the second stage utilized a questionnaire survey combined with Importance-Performance Analysis (IPA) to examine performance-influencing factors from practical perspectives.
    The qualitative analysis identified three major models of industry-university collaboration: demand-driven, platform-oriented, and network-ecosystem types, each with distinct trust foundations and operational characteristics. The demand-driven model emphasizes individual faculty reputation and technical expertise, offering flexibility but lacking stability. The platform-oriented model relies on institutional resource integration to enhance stability but is less flexible. The network-ecosystem model depends on interactions among diverse actors, fostering innovation ecosystems but is challenging to scale. The quantitative analysis showed that both academia and industry focus on short-term resources and outcomes, while often neglecting contextual conditions and governance. Academia tends to prioritize academic indicators, whereas industry focuses on practical outcomes, technology implementation, and talent integration, reflecting fundamental cultural differences in collaboration.
    Based on these findings, the study concludes that:
    A.Collaboration models have no inherent superiority and should be flexibly adjusted according to context and needs.
    B.The roles of academia and industry are shifting from separate entities to intertwined partnerships.
    C.Industry-university collaboration should evolve from project management logic to an ecosystem-oriented vision.
    In summary, the study emphasizes that the development of industry-university collaboration should not be judged solely by standardized indicators or a single model, but should flexibly adapt to different stages, goals, and contexts. The three models should coexist dynamically and complement each other in practice. Furthermore, partnerships should move beyond traditional role divisions toward multi-level, long-term trust-based collaborations. Future development should transcend short-term project-oriented thinking and aim to build an open, resilient innovation ecosystem that can address rapid technological change in smart manufacturing and contribute to sustainable industrial and societal development.
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    Description: 碩士
    國立政治大學
    教育學系
    110152003
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110152003
    Data Type: thesis
    Appears in Collections:[教育學系] 學位論文

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