Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] Sorting out the research on the evaluation of technological innovation capabilities in patent-intensive industries will help establish and improve its evaluation system for technological innovation capabilities. [Method/process] By using the methods of literature review and online survey, the research firstly analyzed the definition and characteristics of patent-intensive industries, and then focused on the status quo of researches on the evaluation of technological innovation capabilities of patent-intensive industries from perspectives of evaluation indicators, evaluation models and empirical studies. [Result/conclusion] Combined with the research results of the existing industrial technological innovation capabilities, it is found that existing evaluation indicators’ pertinence and applicability are poor; Also, the evaluation method is too simple, only DEA method is used to measure the innovation efficiency of patent-intensive industries; Besides, most empirical data is secondary data and national economic data, also the research perspective is a little bit broad. It is suggested that future research should fully consider the characteristics of patent-intensive industries, adding more indicators that can reflect the industries’ patent strength and it’s economic contribution into the evaluation index system; actively exploring scientific, effective and comprehensive evaluation methods; utilizing and integrating the multi-source data for evaluating patent-intensive industry’s technological innovation capabilities and other patent data reflecting the quality and level of patent protection of the patent intensive industries, and based on regional and sub-industries perspectives to conduct empirical research.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] The patent citation is a kind of behavior that can reveal the pattern of technology diffusion. It is an important research tool to infer the technology diffusion behavior by using the patent forward citations. [Method/process] In this study, we fit the cumulative forward citations to the Logistic model again for Graphene sensor with the optimized experiment method. We analyzed and discussed the differences of the methods and results with the previous two studies, which were held by Hosein Fallah and Elliot Fishman in 2009 and Zhang Xiaoqiang et al. in 2014. [Result/conclusion] It is re-verified that the patent forward citations infer the model of technology diffusion. And a further hypothesis based on the previous studies that the pattern of the forward citations of all the patents within a certain technical field follows the Logistic diffusion model is further confirmed.
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