A pilot study on the connection between scientific fields and patent classification systems
Shu-Hao Chang ()
Additional contact information
Shu-Hao Chang: National Applied Research Laboratories
Scientometrics, 2018, vol. 114, issue 3, No 10, 970 pages
Abstract:
Abstract Methods to link academic research achievements with innovative industries have gained considerable awareness worldwide in recent years. Subsequently, responding to industries’ demand to reinforce the linkage between scientific research and industries is an issue awaiting urgent resolution for the government. Previous scientific pertaining to the linkage between scientific fields and (academic papers) technological fields (technology patents) primarily focus on non-patent research or university–industry collaboration. However, these studies failed to highlight the type of linkages between science and technological fields. Therefore, we conducted a pilot study to identify the core scientific fields in different technological fields. In addition to the proposed network maps linking scientific and technological fields, this study also identified the core scientific fields for patent development, including materials science, multidisciplinary; engineering, chemical; physics, applied; nanoscience and nanotechnology; and chemistry, physical. Due to the scarcity of research pertaining to the linkage of scientific fields and technological fields, the government, research and development units, and universities lack a framework for linking fundamental scientific research with the development of industry technologies. Therefore, in this study, we used an author–inventor network to analyze this research topic, expecting that the results can serve as a reference for further research.
Keywords: Author–inventor network; Patent analysis; Network analysis; Classification system (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2613-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2613-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-017-2613-6
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().