Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis
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- Janghyeok Yoon & Sungchul Choi & Kwangsoo Kim, 2011. "Invention property-function network analysis of patents: a case of silicon-based thin film solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 687-703, March.
- Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008.
"Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density,"
Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
- Nooteboom, B. & Gilsing, V.A. & Vanhaverbeke, W.P.M. & Duijsters, G.M. & Oord, A., 2006. "Network Embeddedness and the Exploration of Novel Technologies : Technological Distance, Betweenness Centrality and Density," Discussion Paper 2006-32, Tilburg University, Center for Economic Research.
- Nooteboom, B. & Gilsing, V.A. & Vanhaverbeke, W.P.M. & Duijsters, G.M. & Oord, A., 2006. "Network Embeddedness and the Exploration of Novel Technologies : Technological Distance, Betweenness Centrality and Density," Other publications TiSEM 4fae41f2-1e69-40f2-89f5-6, Tilburg University, School of Economics and Management.
- Victor Gilsing & Bart Noteboom & Wim Vanhaverbeke & Geert Duysters & Ad van Noord, 2006. "Network embeddedness and the exploration of novel technologies: technological distance, betweenness centrality and density," Working Papers 06-08, Eindhoven Center for Innovation Studies, revised Apr 2006.
- Gilsing, V.A. & Nooteboom, B. & van Haverbeke, W.P.M. & Duijsters, G.M. & Oord, A., 2008. "Network embeddedness and the exploration of novel technologies : Technological distance, betweenness centrality and density," Other publications TiSEM 762e80f1-0adc-4184-b1be-9, Tilburg University, School of Economics and Management.
- Wellik, T.K. & Griffin, J.R. & Kockelman, K.M. & Mohamed, M., 2021. "Utility-transit nexus: Leveraging intelligently charged electrified transit to support a renewable energy grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
- Rehman, Faheem Ur & Islam, Md. Monirul & Miao, Qing, 2023. "Environmental sustainability via green transportation: A case of the top 10 energy transition nations," Transport Policy, Elsevier, vol. 137(C), pages 32-44.
- Adamuthe, Amol C. & Thampi, Gopakumaran T., 2019. "Technology forecasting: A case study of computational technologies," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 181-189.
- Maleki, Ali & Rosiello, Alessandro, 2019. "Does knowledge base complexity affect spatial patterns of innovation? An empirical analysis in the upstream petroleum industry," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 273-288.
- Rupp, Matthias & Handschuh, Nils & Rieke, Christian & Kuperjans, Isabel, 2019. "Contribution of country-specific electricity mix and charging time to environmental impact of battery electric vehicles: A case study of electric buses in Germany," Applied Energy, Elsevier, vol. 237(C), pages 618-634.
- Ta-Shun Cho & Hsin-Yu Shih, 2011. "Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 795-811, December.
- Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
- 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.
- John E. Butler, 1988. "Theories of technological innovation as useful tools for corporate strategy," Strategic Management Journal, Wiley Blackwell, vol. 9(1), pages 15-29, January.
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Keywords
electric vehicle; technology life cycle; the logistic curve; social network analysis; International Patent Classification (IPC) co-occurrence; betweenness centrality;All these keywords.
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