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Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries

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Cited by:

  1. Li, Yingbo & Wei, Yigang & Li, Yan & Lei, Zhen & Ceriani, Alessandra, 2022. "Connecting emerging industry and regional innovation system: Linkages, effect and paradigm in China," Technovation, Elsevier, vol. 111(C).
  2. An, Jaehyeong & Kim, Kyuwoong & Mortara, Letizia & Lee, Sungjoo, 2018. "Deriving technology intelligence from patents: Preposition-based semantic analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 217-236.
  3. Li, Fangye & Liu, Weiwei & Bi, Kexin, 2021. "Exploring and visualizing spatial-temporal evolution of patent collaboration networks: A case of China's intelligent manufacturing equipment industry," Technology in Society, Elsevier, vol. 64(C).
  4. Sungchul Choi & Hyunseok Park, 2016. "Investigation of Strategic Changes Using Patent Co-Inventor Network Analysis: The Case of Samsung Electronics," Sustainability, MDPI, vol. 8(12), pages 1-13, December.
  5. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
  6. Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
  7. Daniel Nepelski & Giuditta De Prato, 2015. "Corporate control, location and complexity of ICT R&D: A network analysis at the city level," Urban Studies, Urban Studies Journal Limited, vol. 52(4), pages 721-737, March.
  8. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
  9. Sun, Bing & Yang, Xueting & Zhong, Shen & Tian, Shengnan & Liang, Tian, 2024. "How do technology convergence and expansibility affect information technology diffusion? Evidence from the internet of things technology in China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  10. Cristiano Antonelli & Francesco Crespi & Christian A. Mongeau Ospina & Giuseppe Scellato, 2017. "Knowledge composition, Jacobs externalities and innovation performance in European regions," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1708-1720, November.
  11. Wonchang Hur, 2017. "The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 595-619, May.
  12. Egor Leonidovich Domnich, 2012. "The Scientific and Technological Reserve of the Far Eastern Federal District and the Northeast Asia Countries," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 79-110.
  13. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
  14. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
  15. Giuditta De Prato & Daniel Nepelski, 2012. "Global R&D network. A network analysis of international R&D centres," JRC Research Reports JRC79478, Joint Research Centre, revised Nov 2012.
  16. Srigowtham Arunagiri & Mary Mathew, 2017. "Exploring Technology Evolution Using Patent Classification: A Case of Cochlear Implant Technology Patents," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-19, February.
  17. Kolesnikov, Sergey & Goldstein, Anna P. & Sun, Bixuan & Chan, Gabriel & Narayanamurti, Venkatesh & Anadon, Laura Diaz, 2024. "A framework and methodology for analyzing technology spillover processes with an application in solar photovoltaics," Technovation, Elsevier, vol. 134(C).
  18. Worasak Klongthong & Veera Muangsin & Chupun Gowanit & Nongnuj Muangsin, 2021. "A Patent Analysis to Identify Emergent Topics and Convergence Fields: A Case Study of Chitosan," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
  19. Cui Zhang & Xiongjin Feng & Yanzhen Wang, 2022. "Technology Spillovers among Innovation Agents from the Perspective of Network Connectedness," Mathematics, MDPI, vol. 10(16), pages 1-17, August.
  20. Yunwei Chen & Shu Fang, 2014. "Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1215-1231, November.
  21. Seo, Wonchul & Afifuddin, Mokh, 2024. "Developing a supervised learning model for anticipating potential technology convergence between technology topics," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  22. Seh-Hyun Yoo & Chang-Yang Lee, 2023. "Technological diversification, technology portfolio properties, and R&D productivity," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2074-2105, December.
  23. Ju, Yonghan & Sohn, So Young, 2015. "Patent-based QFD framework development for identification of emerging technologies and related business models: A case of robot technology in Korea," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 44-64.
  24. Qiao Zheng & Lu-Cheng Huang & Fei-Fei Wu & Wu Dan & Zhang Hui, 2017. "Analyzing Technological Knowledge Diffusion Among Technological Fields Using Patent Data: The Example of Microfluidics," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-17, February.
  25. Choe, Hochull & Lee, Duk Hee & Kim, Hee Dae & Seo, Il Won, 2016. "Structural properties and inter-organizational knowledge flows of patent citation network: The case of organic solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 361-370.
  26. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
  27. Mei Hsiu-Ching Ho & John S. Liu, 2013. "The motivations for knowledge transfer across borders: the diffusion of data envelopment analysis (DEA) methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 397-421, January.
  28. Park, Jongyong & Lee, Hakyeon & Park, Yongtae, 2009. "Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector," Technology in Society, Elsevier, vol. 31(1), pages 73-84.
  29. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
  30. Kim, Kibae & Jung, Sungdo & Lee, Changjun & Hwang, Junseok, 2013. "Structure of technology evolution: The way on which ICT industry emerged in Korea," 24th European Regional ITS Conference, Florence 2013 88508, International Telecommunications Society (ITS).
  31. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.
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