Rate and Dimensions of the Technological Knowledge Base Underlying Fuel Cell Innovations: Evidence from Patent Data

2013 ◽  
Author(s):  
Ludovic Dibiaggio ◽  
Maryam Nasiriyar
Keyword(s):  
Fuel Cell ◽  
Knowledge Base ◽  
Technological Knowledge ◽  
Patent Data

scholarly journals How Cumulative is Technological Knowledge?

2021 ◽  
pp. 1-31
Author(s):  
Peter Persoon ◽  
Rudi Bekkers ◽  
Floor Alkemade
Keyword(s):  
Knowledge Base ◽  
Peer Review ◽  
Technological Progress ◽  
Technology Development ◽  
Technological Knowledge ◽  
Patent Data ◽  
Systematic Analysis ◽  
Body Of Knowledge ◽  
Knowledge Dynamics ◽  
Over Time

Abstract Technological cumulativeness is considered one of the main mechanisms for technological progress, yet its exact meaning and dynamics often remain unclear. To develop a better understanding of this mechanism we approach a technology as a body of knowledge consisting of interlinked inventions. Technological cumulativeness can then be understood as the extent to which inventions build on other inventions within that same body of knowledge. The cumulativeness of a technology is therefore characterized by the structure of its knowledge base, which is different from, but closely related to, the size of its knowledge base. We analytically derive equations describing the relation between the cumulativeness and the size of the knowledge base. In addition, we empirically test our ideas for a number of selected technologies, using patent data. Our results suggest that cumulativeness increases proportionally with the size of the knowledge base, at a rate which varies considerably across technologies. Furthermore, this rate is inversely related to the rate of invention over time. This suggests that the cumulativeness increases relatively slow in rapidly growing technologies. In sum, the presented approach allows for an in depth, systematic analysis of cumulativeness variations across technologies and the knowledge dynamics underlying technology development. Peer Review https://publons.com/publon/10.1162/qss_a_00140

scholarly journals Analysis of technological knowledge flows in the Basque Country

2019 ◽  
Vol 7 ◽  
pp. 73
Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana
Keyword(s):  
Basque Country ◽  
Relevant Information ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Illustrative Case ◽  
Patent Data ◽  
Continuous Growth ◽  
Key Indicator

<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.</p>

Analyzing Technological Knowledge Diffusion Among Technological Fields Using Patent Data: The Example of Microfluidics

2017 ◽  
Vol 14 (01) ◽  
pp. 1740004
Author(s):  
Qiao Zheng ◽  
Lu-Cheng Huang ◽  
Fei-Fei Wu ◽  
Wu Dan ◽  
Zhang Hui
Keyword(s):  
Citation Network ◽  
Knowledge Diffusion ◽  
Research Area ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Patent Data ◽  
Diffusion Type ◽  
Modified Method ◽  
Technological Field ◽  
Patent Citation Network

Study of technological knowledge diffusion can provide a basis for R&D planners to invest new R&D projects with a proper direction. In this paper, we introduce a modified method to analyze the diffusion degree of technological knowledge among different technological fields using patent data at the technology patent class level. This method first generates a patent citation network related to a specific research area and then establishes a technological field diffusion matrix according to the concordance between the patent document and the corresponding patent class. After that indicators are set up to measure the diffusion degree of technological field from two aspects of diffusion depth and breadth and then we discern the diffusion type of typical fields. Finally, we conduct microfluidic technology as a case study to prove the feasibility of the method.

scholarly journals Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

2017 ◽  
Vol 62 (2) ◽  
pp. 715-720 ◽  
Author(s):  
K. Regulski
Keyword(s):  
Knowledge Base ◽  
Latent Semantic Indexing ◽  
Semantic Knowledge ◽  
Technological Knowledge ◽  
Semantic Integration ◽  
Semantic Indexing ◽  
Text Documents ◽  
Semantic Techniques ◽  
Semantic Knowledge Base

AbstractThe process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.

scholarly journals Technology Mapping – Proposal of a Method of Technology Analysis in Foresight Studies

2016 ◽  
Vol 17 (3) ◽  
pp. 243-250 ◽  
Author(s):  
Alicja E. Gudanowska
Keyword(s):  
Knowledge Base ◽  
Main Part ◽  
Technological Knowledge ◽  
Mapping Method ◽  
Technology Mapping ◽  
Technology Analysis ◽  
Original Proposal ◽  
Current State

The purpose of the article was to exhibit the technology mapping method as one of the methods which may be used in foresight research. Foresight studies was described in the context of technology as well as technology analysis. The main part of the article is the presentation of an original proposal of a technology mapping method enabling to diagnose the current state of technology. The execution of the method should allow to maximise the resources of knowledge on specific technologies. A list of technological knowledge base elements which might emerge as a result of the process was also described.

Generating technological knowledge in Spanish universities: An exploration of patent data

Innovation ◽  
2005 ◽  
Vol 7 (4) ◽  
pp. 357-372 ◽  
Author(s):  
Manuel Acosta Seró ◽  
Daniel Coronado Guerrero ◽  
Rosario Marín Muñoz
Keyword(s):  
Technological Knowledge ◽  
Patent Data ◽  
Spanish Universities

scholarly journals Relationship Between Enterprise Knowledge-Based Network and Dual Innovation Performance

2019 ◽  
Author(s):  
Chun-ling Li ◽  
jiajia hao ◽  
Run-sen Yuan
Keyword(s):  
Knowledge Base ◽  
Innovation Performance ◽  
Analysis Method ◽  
Patent Data ◽  
Information Industry ◽  
Electronic Information ◽  
Knowledge Based ◽  
The Social ◽  
Exploratory Innovation ◽  
Base Network

<p><b> In order to explore the impact of the intrinsic relationship among knowledge based elements on exploratory innovation performance and exploitative innovation performance. This paper drawing on the social network analysis method, takes 269 companies of the electronic information industry listed on the main board as samples and uses the 2012-2016 patent data to construct the enterprise knowledge base network structure and measures the density centralization and structure hole of the knowledge base network, and tests the relationship between the above three network eigenvalues and dual innovation performance through negative binomial regression method.</b></p><p><b>Originality/value</b><b>: </b>This paper define the exploitative innovation and exploratory innovation in this paper. Through the social network analysis method, using the industrial patent data of China's electronic information industry, constructing the enterprise knowledge base network structure, visualizing it, to analyze the different relationship between the overall characteristics of the network including network density, centralization, structural hole and enterprise exploitative innovation and exploratory innovation. <b></b></p>

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