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The Dynamics of Knowledge-intensive Sectors' Knowledge Base: Evidence from Biotechnology and Telecommunications

机译:知识密集型部门知识库的动态:来自生物技术和电信的证据

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In this paper, we present a methodology to represent and measure knowledge which takes into account knowledge heterogeneity and its sectoral level theoretical and empirical implications in knowledge intensive environments. We draw on work on recombinant knowledge, extending the approach to include the way the dynamics of technological knowledge creation evolves according to a life cycle; testing the existence of concepts such as technological paradigms; mapping the characteristics of the search process in the phases of exploration and exploitation during this technology life cycle and detecting the differences in sectoral evolution that can be explained by the properties of the knowledge base. We use European Patent Office data (1981-2005) to propose some operational metrics for the knowledge base and its evolution in two knowledge intensive sectors: biotechnology and telecommunications. Our empirical results show that there are interesting and meaningful differences across sectors, which are linked to the different phases of the technology life cycles.
机译:在本文中,我们提出了一种表示和衡量知识的方法,该方法考虑了知识密集性环境中的知识异质性及其部门层面的理论和经验含义。我们利用重组知识的工作,将方法扩展到包括技术知识创造动力学根据生命周期发展的方式。测试技术范例等概念的存在;在该技术生命周期内,在探索和开发阶段映射搜索过程的特征,并检测部门演化的差异,这可以由知识库的特性来解释。我们使用欧洲专利局的数据(1981-2005年)为知识库及其在两个知识密集型领域(生物技术和电信领域)的发展提出了一些操作指标。我们的经验结果表明,各个部门之间存在有趣且有意义的差异,这些差异与技术生命周期的不同阶段相关。

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