首页> 外文期刊>Economics of innovation and new technology >THE KNOWLEDGE BASES OF THE WORLD'S LARGEST PHARMACEUTICAL GROUPS: WHAT DO PATENT CITATIONS TO NON-PATENT LITERATURE REVEAL?
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THE KNOWLEDGE BASES OF THE WORLD'S LARGEST PHARMACEUTICAL GROUPS: WHAT DO PATENT CITATIONS TO NON-PATENT LITERATURE REVEAL?

机译:世界上最大的制药集团的知识基础:对非专利文献发表的专利引用有哪些?

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摘要

This article examines the knowledge bases of the world's largest pharmaceutical groups by sales. It builds upon the concepts of knowledge specialisation and knowledge integration as the relevant dimensions along which knowledge bases can be mapped. The former is studied developing indicators of breadth. Breadth is measured by analysing the evolution of specialisation by scientific field over time. It hints at the widening range of bodies of scientific and technological knowledge relevant to firms' innovative activities. Knowledge integration is studied developing indicators of depth. Depth is measured by analysing the evolution of integration across different typologies of research. It hints at the complex, non-linear interdependencies that link the scientific and technological domains. We develop the analysis on the strength of an original database of 33,127 European Patent Office patents and 41,931 citations to 'non-patent document' (of which 19,494 were identified as scientific articles included in the ISI databases) of the 30 largest Pharmaceuticals groups during the period 1990-1997. The groups studied seem to have incrementally increased the breadth of their knowledge bases, moving towards the fields proper to the new biopharmaceutical research trajectory. At the same time, some of the groups studied exhibit remarkable depth in knowledge integration in particular fields such as biotechnology, biochemical research and neurosciences.
机译:本文按销售额分析了世界上最大的制药集团的知识库。它建立在知识专业化和知识整合的概念上,作为可以映射知识库的相关维度。前者是研究广度的发展指标。广度是通过分析科学领域随时间变化的专业发展来衡量的。它暗示着与企业创新活动有关的科学技术知识的范围正在扩大。研究了知识整合,发展了深度指标。深度是通过分析不同研究类型之间的整合演变来衡量的。它暗示了连接科学和技术领域的复杂的非线性相互依存关系。在此基础上,我们对30个最大的制药集团的33,127项欧洲专利局专利和41,931篇“非专利文件”(其中19,494篇被确定为ISI数据库中的科学论文)的引用的原始数据库进行了分析。 1990年至1997年。所研究的小组似乎逐渐增加了其知识库的广度,朝着适合新的生物制药研究轨迹的领域发展。同时,其中一些研究小组在生物技术,生化研究和神经科学等特定领域的知识整合方面表现出非凡的深度。

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