中國醫藥大學機構典藏 China Medical University Repository, Taiwan:Item 310903500/50440
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    题名: 探討影響醫藥生技產學合作之重要因素~以創新擴散理論
    The Investigation of the important factors of influencing pharmaceutical biotechnology academia-industry cooperation ?Innovation diffusion theory
    作者: 龍談格;Tan-Ke Lung
    贡献者: 醫務管理學系碩士在職專班
    关键词: 創新擴散理論;產學合作;醫藥生技;Innovation diffusion theory;academia-industry cooperation;pharmaceutical biotechnolog
    日期: 2013-07-05
    上传时间: 2013-10-16 14:47:48 (UTC+8)
    出版者: 中國醫藥大學
    摘要: 背景與目的：
    隨著全球高齡化所衍生健康及居家照護問題，慢性病患增加，個人化醫療服務及預防醫學保健的興起等因素使得各國政府制定政策來推動醫藥生技產業並透過產學合作來提升競爭力。我國政府長期投入大量資金和人力發展醫藥生技產學合作，現階段占全球市場比重仍低於1%，顯示我國投資於醫藥生技相關學研機構長期所累積的研發能量，無法擴散至產業界，順利被下游廠商承接與應用，創造預期的產學合作具體產值。
    本研究目的：探討創新擴散理論(創新本體、溝通管道、時間及社會體系)對學術界教師及產業界廠商參與醫藥生技產學合作意願的影響並根據研究結果提出建議及具體作法，以提供未來在推動產學合作的參考。
    研究方法：
    為橫斷面之普查研究，透過產、學專家效度檢測之問卷，調查中部某一醫學大學之專任教師及相關業界，共發放問卷1500份(教師問卷500份，回收122份，有效回收率24.4% ;廠商問卷1000份，回收314份，有效回收率31.4%)。並將所回收的有效問卷整理以 SPSS 18.0及Amos 6.0進行資料建檔與分析，並以描述性統計、因素分析、信度分析、驗證性因素分析、二元羅吉斯迴歸分析統計方法，探討影響醫藥生技產學合作之重要因素。
    研究結果：
    影響學術界教師參與醫藥生技產學合作的意願分析有: 『溝通管道』(β= 0.188, p=0.046)及『時間』(β= 0.373, p=0.018)二項因素達統計上的顯著意義;影響產業界廠商參與醫藥生技產學合作意願分析有:『溝通管道』(β= 0.373, p=0.018)及『時間』(β= 0.668, p=0.034)以及『社會體系』(β= 0.049, p=0.041)三項因素達統計上的顯著意義。另企業組織特性變項之「有無研發單位」(β= -1.153, p=0.001)對創新擴散參與產學合作達統計上的顯著意義，亦即「無」研發單位企業其參與產學合作意願的傾向較「有」研發單位企業為高。
    結論與建議：
    醫藥生技產學合作發展重要因素除領域本身的技術性課題外，另在溝通管道、時間及社會體系亦是重要影響因素。本研究建議政府應鬆綁醫藥政策法規、學術界應建置醫藥生技產學合作管理、評鑑平台、在產業界應鼓勵投入創新研發機制，才能構築我國產官學之醫藥生技產業。
    Background and Purpose:
    With the global aging health and home care arising from problems of chronic disease increases, personalized health care and preventive medical care and other factors make the rise of governments to develop policies to promote the pharmaceutical and biotech industry through academia-industry cooperation to enhance competitiveness. Our government has long invested heavily in biotechnology and human development of pharmaceutical academia-industry cooperation, at this stage of the global market share is still less than 1%, indicating that Our government investment in pharmaceutical biotechnology-related academic institutes accumulated long-term R & D capabilities and can not spread to the industry by downstream firms to undertake and successfully applied to create the expected value of the specific academia-industry cooperation.
    The purpose of this study is to investizate innovation diffusion theory (innovation body, communication channels, time and social system) for teachers and industries to participate influence willingness in the pharmaceutical biotechnology academia-industry cooperation.According to the findings and recommendations to provide industry-academia cooperation in promoting future reference.
    Methods:
    The study is cross-sectional survey by industry and academia expert validity testing of the questionnaire, the central medical University of full-time teachers and related industries, a total of 1500 questionnaires (teacher 500 questionnaires were returned 122, the responding rate =24.4%; industry 1000 questionnaires were returned 314, the responding rate = 31.4%). Valid questionnaires were recovered and finished with SPSS 18.0 and Amos 6.0 for data archiving and analysis, and descriptive statistics, factor analysis, reliability analysis, confirmatory factor analysis,and binary logistic regression statistical methods to investizate influencing pharmaceutical biotechnology academia-industry cooperation the important factors.
    Results:
    Influencing academic teachers to participate in pharmaceutica biotechnology academia-industry cooperation willingness analysis are: "communication channels" (β = 0.188, p = 0.046) and "Time" (β = 0.373, p = 0.018) two factors reach statistical significant; Influencing industry vendors to participate pharmaceutical biotechnology academia-industry cooperation willingness analysis are: "communication channels" (β = 0.373, p = 0.018) and "Time" (β = 0.668, p = 0.034) as well as "social system" (β = 0.049, p = 0.041) three factors reach statistical significant. Another characteristic variables of the organization "whether the R & D units" (β = -1.153, p = 0.001) for the diffusion of innovation in academia-industry cooperation statistically significant sense, that "none" of their participation in corporate R & D units academia-industry cooperation willingness to tendency than "yes" corporate R & D units is high.
    Conclusions and Recommendations:
    Pharmaceutical Biotech the important factors in the development of academia-industry cooperation in addition to the technical field of its own subjects, the other in the communication channels, time and social system are also important factors. This study suggests that government should be relaxed medicine policies and regulations, the academia should build pharmaceutical biotech academia-industry cooperation in the management, evaluation platform, the industry should be encouraged to invest in innovation and research and development, in order to build academia-official-industry pharmaceutical biotechnology industry.
    显示于类别:[醫務管理學系暨碩士班] 博碩士論文

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