语义分析可以告诉我们全球科技创新政策议程的长期趋势。

IF 4.6 2区 管理学 Q1 MANAGEMENT
Leonid Gokhberg, Dirk Meissner, Ilya Kuzminov
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引用次数: 0

摘要

知识积累的范围、复杂性和 "数量 "使得对科学、技术和创新政策的核心主题进行综述十分困难。对这一政策领域的评论大多要么只提及一般性问题,而没有深入探讨细节,要么只关注较窄的具体方面。本文利用语义分析来确定过去三十年中科学、技术和创新政策的主要专题,并追溯其在当前政策制定过程中的演变。我们使用语义工具来处理和分析由主要的、声誉卓著的国际专家机构之一--经合组织技术与创新政策工作组--编写的文件。我们发现,一些选定的主题虽然受到定期政策调整和完善的影响,但仍然是主流主题,并随着新的挑战和预期解决方案的出现而消失或出现。其他主题则是小众或奇特的主题,只讨论了一段时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

What semantic analysis can tell us about long term trends in the global STI policy agenda.

What semantic analysis can tell us about long term trends in the global STI policy agenda.

What semantic analysis can tell us about long term trends in the global STI policy agenda.

What semantic analysis can tell us about long term trends in the global STI policy agenda.

The scope, complexity and the "volume" of knowledge accumulated render producing an overview of the core themes of science, technology and innovation policies difficult. Reviews of this policy domain mostly either refer to general issues without deep immersion into details or focus on specific narrower aspects. The paper uses semantic analysis to identify major themes of science, technology and innovation policies over the last three decades and to trace their evolution towards current policy setting. We use semantic tools for processing and analysing documents produced by one of the major and highly reputable international expert bodies, the OECD Working Party on Technology and Innovation Policy. We show that selected themes remain in the mainstream even though being affected by regular policy adjustments and refinements and which disappear or appear with new challenges and expected solutions. Other themes appear niche or exotic themes which are under discussion for some time only.

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来源期刊
CiteScore
10.20
自引率
12.50%
发文量
66
期刊介绍: The Journal of Technology Transfer provides an international forum for research on the economic, managerial and policy implication of technology transfer, entrepreneurship, and innovation. The Journal is especially interested in articles that focus on the relationship between the external environment and organizations (governments, public agencies, firms, universities) and their innovation process. The Journal welcomes alternative modes of presentation ranging from broad empirical analyses, to theoretical models, to case studies based on theoretical foundations.  Officially cited as: J Technol Transf
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