Identifying potential technological spin-offs using hierarchical information in international patent classification
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DOI: 10.1016/j.technovation.2020.102192
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- Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
- Carole L. Palmer, 1999. "Structures and strategies of interdisciplinary science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(3), pages 242-253.
- Murmann, Johann Peter & Frenken, Koen, 2006.
"Toward a systematic framework for research on dominant designs, technological innovations, and industrial change,"
Research Policy, Elsevier, vol. 35(7), pages 925-952, September.
- P. Murmann & K. Frenken, 2002. "Toward a Systematic Framework for Research on Dominant Designs, Technological Innovations, and Industrial Change," Papers on Economics and Evolution 2002-12, Philipps University Marburg, Department of Geography.
- Gauch, Stephan & Blind, Knut, 2015. "Technological convergence and the absorptive capacity of standardisation," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 236-249.
- Ying Tang & Xuming Lou & Zifeng Chen & Chengjin Zhang, 2020. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
- Nicolas Battard, 2012. "Convergence and multidisciplinarity in nanotechnology: Laboratories as technological hubs," Post-Print hal-01514795, HAL.
- Keith Pavitt, 2001. "Can the Large Penrosian Firm cope with the Dynamics of Technology?," SPRU Working Paper Series 68, SPRU - Science Policy Research Unit, University of Sussex Business School.
- Manuel Acosta & Daniel Coronado & Rosario Marín & Pedro Prats, 2013. "Factors affecting the diffusion of patented military technology in the field of weapons and ammunition," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 1-22, January.
- Yongtae Park & Sungjoo Lee & Sora Lee, 2012. "Patent analysis for promoting technology transfer in multi-technology industries: the Korean aerospace industry case," The Journal of Technology Transfer, Springer, vol. 37(3), pages 355-374, June.
- Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
- Naoki Shibata & Yuya Kajikawa & Ichiro Sakata, 2012. "Link prediction in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 78-85, January.
- 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.
- Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard, 2005. "Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 373-401, April.
- Patel, Pari & Pavitt, Keith, 1997. "The technological competencies of the world's largest firms: Complex and path-dependent, but not much variety," Research Policy, Elsevier, vol. 26(2), pages 141-156, May.
- Naoki Shibata & Yuya Kajikawa & Ichiro Sakata, 2012. "Link prediction in citation networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 78-85, January.
- Simmons, Edlyn S., 2009. ""Black sheep" in the patent family," World Patent Information, Elsevier, vol. 31(1), pages 11-18, March.
- Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
- Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
- Loet Leydesdorff, 2008. "Patent classifications as indicators of intellectual organization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(10), pages 1582-1597, August.
- Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
- Bongioanni, Irene & Daraio, Cinzia & Ruocco, Giancarlo, 2014. "A quantitative measure to compare the disciplinary profiles of research systems and their evolution over time," Journal of Informetrics, Elsevier, vol. 8(3), pages 710-727.
- Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
- Song, Chie Hoon & Elvers, David & Leker, Jens, 2017. "Anticipation of converging technology areas — A refined approach for the identification of attractive fields of innovation," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 98-115.
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- Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
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- Chie Hoon Song, 2023. "Examining the Patent Landscape of E-Fuel Technology," Energies, MDPI, vol. 16(5), pages 1-19, February.
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Keywords
Technological spin-offs; International patent classification; Hierarchical information; Link prediction; Patent analysis; Co-occurrence network;All these keywords.
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