促進科學至科技知識流動之論文特徵之探討

Identifying Paper Characteristics that Facilitate the Knowledge Flow from Science to Technology

李孟哲(Meng-Che Lee)

指導教授 ： 丁承

國立交通大學/管理學院/經營管理研究所/博士(2017年)

摘要

科學與科技之間的聯繫日益密切，使得將科學成果轉化為科技應用的發展機制成為管理研究的一個重要議題。在本研究中，我們使用專利引用論文的資料，由論文特徵的角度來探討如何促進科學至科技的知識流動。隨著時間的推移，專利對科學論文引用次數的成長趨勢被用來測量科學論文在科技應用的動態性。本文使用2001-2005和2009-2013兩個5年期之引用視窗資料，皆取自USPTO資料庫。第一個視窗係針對1998年被Thomson Reuters Web of Science (WoS) 所收錄的科學論文，第二個視窗則係針對2006年被WoS 收錄的科學論文。本研究選擇在WoS中最常被引用的前十大領域中的出版論文。利用成長模型，我們發現專利引用論文之平均成長趨勢是顯著的。此外，論文被其他論文引用次數，論文所發表期刊的排名因子，論文是否來自業界以及論文是否屬於評論式文章，均對專利引用論文的成長斜率產生顯著影響。我們依據研究結果討論一些政策意涵。

關鍵字

生長模型 ； 論文特徵 ； 專利引用論文 ； 排名因子 ； 研究影響係數 ； 知識擴散

並列摘要

The increasing connection between science and technology has made the development of mechanisms that transfer scientific outputs into technological applications an important issue in management research. In this study, we explore paper characteristics that facilitate the knowledge flow from science to technology by using the patent-to-paper citation data. The growth trajectory of the number of patent citations to a scientific paper over time is used to measure the dynamism of its utilization for technology applications. The citation data used were obtained from the USPTO database based on two 5-year citation windows, 2001-2005 and 2009-2013. The former included patent citations to the publications in the Thomson Reuters Web of Science in 1998, and the latter included those in 2006. Only the publications in the top ten most frequently cited subject categories of the Web of Science were selected. By using growth modeling, we have found that the mean trajectory is significant. Moreover, the paper citation count, the ranking factor of the journal in which the paper was published, whether the paper is an industrial publication, and whether it is a review article have been identified to exert significant effects on the growth of the citation of scientific literature by patented inventions. Some policy implications are discussed.

並列關鍵字

Growth Modeling ； Paper Characteristics ； Patent-to-Paper Citation ； Ranking Factor ； Research Impact ； Knowledge Flow

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