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Structural model of patent quality applied to various countries

Structural model of patent quality applied to various countries In the current knowledge-based economy era, national innovation ability is crucial. Abundant information can be obtained through patent analysis, and such information can help in the formulation of policies and the making of R&D decisions; numerous researchers thus continue to make patent analyses. The quality of patents possessed by a country indicates the level of innovation and technology in the country, and this study aims to assess the quality of patents possessed by various countries.Design/methodology/approachIn this study, the authors determined patent quality in various countries from the perspective of the reflective measurement model and used a novel method to construct a structural model of patent quality.FindingsThis study discovered that patent family, number of claims, number of international patent classifications, forward citations, nonpatent references and maintenance time are the structural factors that affect patent quality. Forward citations and the number of claims are particularly highly explained by patent quality, which is a latent construct.Originality/valueThe results of this study provide valuable information to the government and help in the assessment of patent quality in various countries. In addition, the assessment model proposed in this study can be used in the investigation of patent quality in academic research and can predict patent quality, which will be of interest to the government and industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Innovation Science Emerald Publishing

Structural model of patent quality applied to various countries

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1757-2223
DOI
10.1108/ijis-05-2017-0036
Publisher site
See Article on Publisher Site

Abstract

In the current knowledge-based economy era, national innovation ability is crucial. Abundant information can be obtained through patent analysis, and such information can help in the formulation of policies and the making of R&D decisions; numerous researchers thus continue to make patent analyses. The quality of patents possessed by a country indicates the level of innovation and technology in the country, and this study aims to assess the quality of patents possessed by various countries.Design/methodology/approachIn this study, the authors determined patent quality in various countries from the perspective of the reflective measurement model and used a novel method to construct a structural model of patent quality.FindingsThis study discovered that patent family, number of claims, number of international patent classifications, forward citations, nonpatent references and maintenance time are the structural factors that affect patent quality. Forward citations and the number of claims are particularly highly explained by patent quality, which is a latent construct.Originality/valueThe results of this study provide valuable information to the government and help in the assessment of patent quality in various countries. In addition, the assessment model proposed in this study can be used in the investigation of patent quality in academic research and can predict patent quality, which will be of interest to the government and industry.

Journal

International Journal of Innovation ScienceEmerald Publishing

Published: Jul 30, 2018

Keywords: Patent analysis; Patent quality; Structural model; Reflective measurement model

References