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Patent sleeping beauties: evolutionary trajectories and identification methods

  • Jianhua HouEmail author
  • Xiucai Yang
Article
  • 41 Downloads

Abstract

Sleeping Beauties in Science have attracted a lot of attention in scientometrics and beyond. However, sleeping beauties also appear in patent. In this paper, we put forward the concept of patent sleeping beauties. Since the evolution trajectory of patents after public announcement includes citation, transformation and license, we have defined the evolution trajectories of patents through three indicators including early sudden awakening (the “Flash in the pan”), early gradual awakening (the “Pea Princess”), delay gradual awakening (the “Ugly Duckling”), delay sudden awakening (the “sleeping beauty”) and sleeping patent. Furthermore, this paper constructs a quantitative model to identify patent sleeping beauties. Taking the graphene technology patent of China as an example, this paper identified the patent sleeping beauties in graphene technology, and found that the number of sleeping beauty patents accounted for only 0.59% of all patents. In the aspect of patent awakening mode, the awakening of patents with gradual awakening is mainly caused by both cited and transferred or cited and licensed. However, both the flash-in-the-pan and the sleeping beauty patents are mainly caused by transferring or licensing single factor. At the same time, through investigation, we found that patent invalidation will not hinder patent awakening, patent awakening will extend the effective life of patents. At last, we provide policy implications for researchers and managers.

Keywords

Patent sleeping beauties Patent evolution trajectory Patent active life Awakening mode 

Notes

Acknowledgements

The author acknowledges the support of the National Social Science Foundation of China (Award Number # 17BGL031). We would like to express Special thanks to the reviewers. Their comments and suggestions have helped improve the content of the present paper.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.School of Information ManagementSun Yat-sen UniversityGuangzhouChina
  2. 2.College of Economics and ManagementDalian UniversityDalianChina

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