Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

Research on the impact of cross domain fusion of patent technology on patent value--Based on propensity score matching method

Authors
Ziyan Meng1, *
1School of Business, Shandong Normal University, Jinan, China
*Corresponding author. Email: m806459168@163.com
Corresponding Author
Ziyan Meng
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_4How to use a DOI?
Keywords
Patented technology; Cross disciplinary; Propensity score matching; Knowledge fusion
Abstract

Technological innovation has become the main driving force for economic and social development, and also the focus of competition between countries or enterprises. This paper uses the propensity score matching method (PSM) in causal reasoning to study and analyze the impact of cross domain fusion of patent knowledge and technology on changes in patent value. Specifically, this paper selects patent data from the "Chemistry and Metallurgy" field of the China Intellectual Property Office from 2011 to 2020, and analyzes the frequency of patent citation as a substitute variable for the value of patent technology. The experimental results indicate that cross domain fusion of patent technology has a significant positive effect on improving patent value and is a related factor in increasing the frequency of patent citations; And the processing effect of multi domain fusion is significantly better than that of dual domain fusion. Therefore, cross domain integration of technology can increase the frequency of patent citations and ultimately enhance patent value. Our research can capture the causal relationship between the cross domain phenomenon of patent technology and the frequency of patent citations, and provide corresponding suggestions for promoting knowledge innovation.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ziyan Meng
PY  - 2023
DA  - 2023/09/28
TI  - Research on the impact of cross domain fusion of patent technology on patent value--Based on propensity score matching method
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 23
EP  - 30
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_4
DO  - 10.2991/978-94-6463-264-4_4
ID  - Meng2023
ER  -