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Patent-based network analysis to understand technological innovation pathways and trends

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  • Linares, Ian Marques Porto
  • De Paulo, Alex Fabianne
  • Porto, Geciane Silveira

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  • Linares, Ian Marques Porto & De Paulo, Alex Fabianne & Porto, Geciane Silveira, 2019. "Patent-based network analysis to understand technological innovation pathways and trends," Technology in Society, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:teinso:v:59:y:2019:i:c:s0160791x18301891
    DOI: 10.1016/j.techsoc.2019.04.010
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    1. Roberto Fontana & Alessandro Nuvolari & Bart Verspagen, 2009. "Mapping technological trajectories as patent citation networks. An application to data communication standards," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(4), pages 311-336.
    2. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    3. Blackman, Michael, 1995. "Provision of patent information: a national patent office perspective," World Patent Information, Elsevier, vol. 17(2), pages 115-123, June.
    4. Lee, Changyong & Kang, Bokyoung & Shin, Juneseuk, 2015. "Novelty-focused patent mapping for technology opportunity analysis," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 355-365.
    5. Fortes, Patrícia & Alvarenga, António & Seixas, Júlia & Rodrigues, Sofia, 2015. "Long-term energy scenarios: Bridging the gap between socio-economic storylines and energy modeling," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 161-178.
    6. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    7. Ribeiro, Barbara E. & Quintanilla, Miguel A., 2015. "Transitions in biofuel technologies: An appraisal of the social impacts of cellulosic ethanol using the Delphi method," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 53-68.
    8. Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    9. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    10. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.
    11. Meesapawong, Pawadee & Rezgui, Yacine & Li, Haijiang, 2014. "Planning innovation orientation in public research and development organizations: Using a combined Delphi and Analytic Hierarchy Process approach," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 245-256.
    12. Somsuk, Nisakorn & Laosirihongthong, Tritos, 2014. "A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: Resource-based view," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 198-210.
    13. Jacques Michel & Bernd Bettels, 2001. "Patent citation analysis.A closer look at the basic input data from patent search reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 185-201, April.
    14. Wang, Ming-Yeu & Fang, Shih-Chieh & Chang, Yu-Hsuan, 2015. "Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 182-195.
    15. Geum, Youngjung & Lee, HyeonJeong & Lee, Youngjo & Park, Yongtae, 2015. "Development of data-driven technology roadmap considering dependency: An ARM-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 264-279.
    16. Choi, Jinho & Hwang, Yong-Sik, 2014. "Patent keyword network analysis for improving technology development efficiency," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 170-182.
    17. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    18. Yoon, Byungun & Park, Inchae & Coh, Byoung-youl, 2014. "Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 287-303.
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    Cited by:

    1. Willoughby, Kelvin W. & Mullina, Nadezhda, 2021. "Reverse innovation, international patenting and economic inertia: Constraints to appropriating the benefits of technological innovation," Technology in Society, Elsevier, vol. 67(C).
    2. Silfverskiöld, Stefan & Andersson, Kent & Lundmark, Martin, 2021. "Does the method for Military Utility Assessment of Future Technologies provide utility?," Technology in Society, Elsevier, vol. 67(C).
    3. Fiori, Giovana Maria Lanchoti & Basso, Fernanda Gisele & Porto, Geciane Silveira, 2022. "Cooperation in R&D in the pharmaceutical industry: Technological and clinical trial networks in oncology," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    5. Yin, Yue & Yan, Ming & Zhan, Qiushi, 2022. "Crossing the valley of death: Network structure, government subsidies and innovation diffusion of industrial clusters," Technology in Society, Elsevier, vol. 71(C).
    6. Xia Cao & Chuanyun Li & Wei Chen & Jinqiu Li & Chaoran Lin, 2020. "Research on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective—A case study of new energy vehicles," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-19, September.
    7. Jiang, Zhenyu & Wang, Zongjun & Lan, Xiao, 2021. "How environmental regulations affect corporate innovation? The coupling mechanism of mandatory rules and voluntary management," Technology in Society, Elsevier, vol. 65(C).
    8. Xia Cao & Chuanyun Li & Jinqiu Li & Yunchang Li, 2022. "Modeling and simulation of knowledge creation and diffusion in an industry-university-research cooperative innovation network: a case study of China’s new energy vehicles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3935-3957, July.

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