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Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology

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  • Wang, Xiaoli
  • Daim, Tugrul
  • Huang, Lucheng
  • Li, Zhiqiang
  • Shaikh, Ruqia
  • Kassi, Diby Francois

Abstract

High technologies play an important role in social progress and economic growth. Monitoring the development trend and competition status of high technology is crucial for policymakers, managers, and developers. This study proposes a framework that integrating the analysis of technological evolutionary trends and competitive status, the results of which will be helpful for engineers and developers for technology scouting and forecasting, but also for policymakers and managers for research and development (R&D) strategy. The electronic design automation (EDA) technology is selected as a case study. The patent analysis and bibliographic coupling are used to analyze the overview and identify the critical technical areas of EDA technology. This research also identifies the competition status of the main competitors in the EDA field from three aspects, including the market and technology fields, R&D capability, and comprehensive evaluation of patents. Our results show that the United States has an absolute advantage in the competition status of EDA technology. This study contributes to monitoring the development situation and competition status of high technologies, and will be of interest to policymakers and engineers.

Suggested Citation

  • Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002172
    DOI: 10.1016/j.techsoc.2022.102076
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    1. Jurriën Bakker & Dennis Verhoeven & Lin Zhang & Bart Van Looy, 2016. "Patent citation indicators: One size fits all?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 187-211, January.
    2. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    3. Mas-Tur, Alicia & Roig-Tierno, Norat & Sarin, Shikhar & Haon, Christophe & Sego, Trina & Belkhouja, Mustapha & Porter, Alan & Merigó, José M., 2021. "Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    4. Gamal Atallah & Gabriel Rodríguez, 2006. "Indirect patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 437-465, June.
    5. Petralia, Sergio & Balland, Pierre-Alexandre & Morrison, Andrea, 2017. "Climbing the ladder of technological development," Research Policy, Elsevier, vol. 46(5), pages 956-969.
    6. 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).
    7. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    8. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Li, Xin & Xie, Qianqian & Jiang, Jiaojiao & Zhou, Yuan & Huang, Lucheng, 2019. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 687-705.
    10. Xiao Zhou & Yi Zhang & Alan L. Porter & Ying Guo & Donghua Zhu, 2014. "A patent analysis method to trace technology evolutionary pathways," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 705-721, September.
    11. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    12. Schettino, Francesco & Sterlacchini, Alessandro & Venturini, Francesco, 2013. "Inventive productivity and patent quality: Evidence from Italian inventors," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1043-1056.
    13. Ying Huang & Donghua Zhu & Yue Qian & Yi Zhang & Alan L. Porter & Yuqin Liu & Ying Guo, 2017. "A hybrid method to trace technology evolution pathways: a case study of 3D printing," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 185-204, April.
    14. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    15. Iain M. Cockburn & Megan J. MacGarvie, 2009. "Patents, Thickets and the Financing of Early‐Stage Firms: Evidence from the Software Industry," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(3), pages 729-773, September.
    16. Liu, Lanjian & Zhang, Tian & Avrin, Anne-Perrine & Wang, Xianwen, 2020. "Is China's industrial policy effective? An empirical study of the new energy vehicles industry," Technology in Society, Elsevier, vol. 63(C).
    17. Haupt, Reinhard & Kloyer, Martin & Lange, Marcus, 2007. "Patent indicators for the technology life cycle development," Research Policy, Elsevier, vol. 36(3), pages 387-398, April.
    18. Pereira, Cristiano Gonçalves & Lavoie, Joao Ricardo & Garces, Edwin & Basso, Fernanda & Dabić, Marina & Porto, Geciane Silveira & Daim, Tugrul, 2019. "Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 185-199.
    19. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    21. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    22. Chen, Dar-Zen & Huang, Mu-Hsuan & Hsieh, Hui-Chen & Lin, Chang-Pin, 2011. "Identifying missing relevant patent citation links by using bibliographic coupling in LED illuminating technology," Journal of Informetrics, Elsevier, vol. 5(3), pages 400-412.
    23. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    24. Janghyeok Yoon & Kwangsoo Kim, 2011. "Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 213-228, July.
    25. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    26. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    27. Gazni, Ali, 2020. "The growing number of patent citations to scientific papers: Changes in the world, nations, and fields," Technology in Society, Elsevier, vol. 62(C).
    28. Bart Leten & Rene Belderbos & Bart Van Looy, 2016. "Entry and Technological Performance in New Technology Domains: Technological Opportunities, Technology Competition and Technological Relatedness," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1257-1291, December.
    29. Roper, Stephen & Hewitt-Dundas, Nola, 2015. "Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data," Research Policy, Elsevier, vol. 44(7), pages 1327-1340.
    30. Koellinger, Philipp, 2008. "The relationship between technology, innovation, and firm performance--Empirical evidence from e-business in Europe," Research Policy, Elsevier, vol. 37(8), pages 1317-1328, September.
    31. Parcu, Pier Luigi & Innocenti, Niccolò & Carrozza, Chiara, 2022. "Ubiquitous technologies and 5G development. Who is leading the race?," Telecommunications Policy, Elsevier, vol. 46(4).
    32. Martin, Hilary & Daim, Tugrul U., 2012. "Technology roadmap development process (TRDP) for the service sector: A conceptual framework," Technology in Society, Elsevier, vol. 34(1), pages 94-105.
    33. Oleg Ena & Nadezhda Mikova & Ozcan Saritas & Anna Sokolova, 2016. "A methodology for technology trend monitoring: the case of semantic technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1013-1041, September.
    34. Lizin, Sebastien & Leroy, Julie & Delvenne, Catherine & Dijk, Marc & De Schepper, Ellen & Van Passel, Steven, 2013. "A patent landscape analysis for organic photovoltaic solar cells: Identifying the technology's development phase," Renewable Energy, Elsevier, vol. 57(C), pages 5-11.
    35. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    36. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
    37. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    38. Song, Kisik & Kim, Karp Soo & Lee, Sungjoo, 2017. "Discovering new technology opportunities based on patents: Text-mining and F-term analysis," Technovation, Elsevier, vol. 60, pages 1-14.
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    2. Kang, Inje & Yang, Jiseong & Lee, Wonjae & Seo, Eun-Yeong & Lee, Duk Hee, 2023. "Delineating development trends of nanotechnology in the semiconductor industry: Focusing on the relationship between science and technology by employing structural topic model," Technology in Society, Elsevier, vol. 74(C).
    3. 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.

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