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A new model based on patent data for technology early warning research

机译:一种基于专利数据的技术预警研究的新模型

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摘要

As technology competition among enterprises become more intense, technical crisis occurs in enterprises, such as technological substitution and technology divulgence. Thus, it is necessary to warn enterprises of those technical crises that can be called technology early warning. As patent data contains much technology information, it becomes an efficient source to analyse technology. This paper proposes a technology early warning model based on patent data to help enterprises execute technology early warning from the perspective of its technology status. To do so, we set ten indicators from four aspects to evaluate the enterprise's technology status at first, calculate the index of enterprise's technical crisis with AHP, and then propose five early warning levels. China Petroleum & Chemical Corporation (Sinopec Group) and the China National Petroleum Corporation (CNPC) are taken as comparative case studies.
机译:随着企业之间的技术竞争变得更加激烈,企业发生技术危机,如技术替代和技术风险。 因此,有必要警告这些技术危机的企业,可以称为技术预警。 由于专利数据包含了很多技术信息,它成为分析技术的有效源。 本文提出了一种基于专利数据的技术预警模型,帮助企业从其技术地位的角度执行技术预警。 为此,我们从四个方面设置了十个指标,首先评估企业的技术状况,计算企业技术危机的指数,并提出五个预警水平。 中国石油储蓄; 化学公司(中国石化集团)和中国石油公司(CNPC)被视为比较案例研究。

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