Evaluating patent technology transfer potential : A predictive model based on citation network analysis
Xu Yixuy@clas.ac.cnAffiliation 1National Science Library(Chengdu)Chinese Academy of SciencesChinaAffiliation 2Department of Information Resource ManagementSchool of Economics and ManagementUniversity of Chinese Academy of SciencesChinaView full profile → , Li Jinglij@clas.ac.cnNational Science Library(Chengdu)Chinese Academy of SciencesChinaView full profile → , Li Shuyinglisy@clas.ac.cnNational Science Library(Chengdu)Chinese Academy of SciencesChinaView full profile → , Xu Jingxuj@clas.ac.cnNational Science Library(Chengdu)Chinese Academy of SciencesChinaView full profile → , *Zhang XianCorresponding authorzhangx@clas.ac.cnAffiliation 1National Science Library(Chengdu)Chinese Academy of SciencesChinaAffiliation 2Department of Information Resource ManagementSchool of Economics and ManagementUniversity of Chinese Academy of SciencesChinaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 15 Oct 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- CJSIM-2024-0020
- Pages:
- 101–109
Abstract
Keywords
References
[1] S. A. Wahab, R. C. Rose, and S. I. W. Osman, “Defining the concepts of technology and technology transfer: A literature analysis,” International Business Research, vol. 5, no. 1, pp. 61-71 (2012). doi: 10.5539/ibr.v5n1p61.
[2] N. G. Kalıp, Y. Ö. Erzurumlu, and N. A. Gün, “Qualitative and quantitative patent valuation methods: A systematic literature review,” World Patent Information, vol. 69, p. 102111 (2022). doi: 10.1016/j.wpi.2022.102111.
[3] A. Kapoor, “Valuation of Patent,” Journal of Intellectual Property Rights (JIPR), vol. 26, no. 2, pp. 92-95 (2022). doi: 10.56042/jipr.v26i2.42749.
[4] X. Tong and J. D. Frame, “Measuring national technological performance with patent claims data,” Research Policy, vol. 23, no. 2, pp. 133-141 (1994). doi: 10.1016/0048-7333(94)90050-7.
[5] T. G. Wang, J. M. Wang, and H. M. Yuan, “Identification and analysis of bio-pharmaceutical industry’s core technology based on patent analysis,” Journal of Intelligence, vol. 35, no. 4, pp. 112-117 (2016).
[6] J. Choi, B. Jeong, J. Yoon, B. Y. Coh, and J. M. Lee, “A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime,” Computers & Industrial Engineering, vol. 145, p. 106544 (2020). doi: 10.1016/j.cie.2020.106544.
[7] H. Park, J. J. Ree, and K. Kim, “Identification of promising patents for technology transfers using TRIZ evolution trends,” Expert Systems with Applications, vol. 40, no. 2, pp. 736-743 (2013). doi: 10.1016/j.eswa.2012.08.008.
[8] J. Choi, D. Jang, S. Jun, and S. Park, “A predictive model of technology transfer using patent analysis,” Sustainability, vol. 7, no. 12, pp. 16175-16195 (2015). doi: 10.3390/su71215809.
[9] K. Q. Zhang, X. H. Wei, J. Hao, J. Z. Yuan, and J. Geng, “The study of the influencing factors of patent value by using social network analysis,” Science of Science and Management of S.&T., vol. 37, no. 5, pp. 67-74 (2016).
[10] X. You, M. Zhang, and Y. Yu, “Research on Patent Valuation Based on Social Network Analysis Method,” in 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022), pp. 1168-1175. Atlantis Press (2022). doi: 10.2991/978-94-6463-064-0_122.
[11] L. Chen, “Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations,” Journal of Informetrics, vol. 11, no. 1, pp. 63-79 (2017). doi: 10.1016/j.joi.2016.04.018.
