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Technological advances in the fuel cell vehicle: Patent portfolio management

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  • Ha, Sung Ho
  • Liu, Weina
  • Cho, Hune
  • Kim, Sang Hyun

Abstract

With the shift from an industry-based society to a knowledge-based one, there has been a gradual increase in the importance of intangible assets such as technologies and information. Patents are a representative intellectual outcome of intangible assets and can be used as an objective measure of the level of technology or innovation of individuals, firms, and countries. In addition, patents can be regarded as a rich source of data for the provision of technological and commercial information. Patent data facilitate research on technological advances and innovation; hence, an analysis of this data can provide important insights into innovation activity and technology management strategies. This paper presents a method for extracting core technologies from core fuel cell vehicle (FCV) patents registered with the United States Patent and Trademark Office by using a data mining technique. Core patents are determined by analyzing patent citations, and the data mining technique identifies those firms with core FCV technologies and reveals the overall research focus of the firms by deriving patent portfolios and and technology recommendations considering the extracted core technologies.

Suggested Citation

  • Ha, Sung Ho & Liu, Weina & Cho, Hune & Kim, Sang Hyun, 2015. "Technological advances in the fuel cell vehicle: Patent portfolio management," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 277-289.
    • Handle: RePEc:eee:tefoso:v:100:y:2015:i:c:p:277-289
    DOI: 10.1016/j.techfore.2015.07.016
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    3. Jiwon Yu & Young Jae Han & Hyewon Yang & Sugil Lee & Gildong Kim & Chulung Lee, 2022. "Promising Technology Analysis and Patent Roadmap Development in the Hydrogen Supply Chain," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    4. Li Li & Haifen Lin & Yibo Lyu, 2022. "Technology cluster coupling and invulnerability of industrial innovation networks: the role of centralized structure and technological turbulence," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1209-1231, March.
    5. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Wang, I. Kim & Seidle, Russell, 2020. "Ambition in innovation: Vicarious learning in the nascent electric scooter market in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    7. Fernandes, Marina Domingues & Bistritzki, Victor & Domingues, Rosana Zacarias & Matencio, Tulio & Rapini, Márcia & Sinisterra, Rubén Dario, 2020. "Solid oxide fuel cell technology paths: National innovation system contributions from Japan and the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Xuan Shi & Lingfei Cai & Hongfang Song, 2019. "Discovering Potential Technology Opportunities for Fuel Cell Vehicle Firms: A Multi-Level Patent Portfolio-Based Approach," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    9. Vincent Frigant & Stéphane Miollan & Maëlise Presse & David Virapin, 2019. "Quelles frontières géographiques pour les systèmes d’innovation technologique ?. Une analyse par les co-brevets appliquée au véhicule à pile à combustible," Innovations, De Boeck Université, vol. 0(1), pages 243-273.
    10. Ekaterina Streltsova & Gleb Kuzmin, 2019. "Russian Technograds: The Technological Profiles of the Cities," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(3), pages 41-49.
    11. Song, Kisik & Kim, Kyuwoong & Lee, Sungjoo, 2018. "Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 118-132.
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