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Patent and publishing activity sequence over a technology's life cycle

机译:技术生命周期中的专利和出版活动序列

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The use of multiple indicators in analyzing technological developments and exploiting the increasing availability of information has been recommended widely in order to decrease systematic biases between single measures. One of the few frameworks that take multiple sources into account is the Technology Life Cycle indicators that provide a measure for the totality of sources available for analysis and take their timeliness into account, although the linear model that the framework represents is often questioned. The aim of this paper is to provide bibliometric studies with insight into the timely relevance of using different databases. To assess the reporting sequence between different databases, this paper measures the reporting activity of three case technologies in different databases and analyzes the yearly reporting volumes of a number of items that mention the technology in the databases as suggested by the TLC indicators. The results of this paper suggest that, when science is the source of new ideas and the driver for technological development and innovations, communication can happen in the order suggested by the TLC indicators. However, this model does not seem to be a general model for detecting and forecasting a technological life cycle. In addition, the results of the paper point to the possibility of studying non-linear models of innovation and contexts where this type of dynamics might take place.
机译:广泛建议在分析技术发展和利用不断增加的信息时使用多个指标,以减少单个措施之间的系统偏差。将生命周期指标考虑在内的为数不多的框架之一是技术生命周期指标,该指标可衡量可供分析的资源总量并考虑其及时性,尽管该框架所代表的线性模型经常受到质疑。本文的目的是提供文献计量学研究,以了解使用不同数据库的及时相关性。为了评估不同数据库之间的报告顺序,本文测量了不同数据库中三种案例技术的报告活动,并根据TLC指标建议,分析了提及数据库中该技术的许多项目的年度报告量。本文的结果表明,当科学成为新思想的源头和技术发展与创新的驱动力时,交流可以按照TLC指标所建议的顺序进行。但是,该模型似乎不是用于检测和预测技术生命周期的通用模型。另外,论文的结果指出了研究非线性创新模型和可能发生这种动态情况的环境的可能性。

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