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Technology fusion: Identification and analysis of the drivers of technology convergence using patent data

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  1. Park, Mingyu & Geum, Youngjung, 2022. "Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  2. Pezzoni, Michele & Veugelers, Reinhilde & Visentin, Fabiana, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Research Policy, Elsevier, vol. 51(3).
  3. Bicudo, Edison & Faulkner, Alex & Li, Phoebe, 2021. "Sociotechnical alignment in biomedicine: The 3D bioprinting market beyond technology convergence," Technology in Society, Elsevier, vol. 66(C).
  4. Song, Kisik & Yun, Siyeong & Kim, Leehee & Lee, Sungjoo, 2022. "Investigating new design concepts based on customer value and patent data: The case of a future mobility door," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  5. Lee, Hyunmin, 2023. "Converging technology to improve firm innovation competencies and business performance: Evidence from smart manufacturing technologies," Technovation, Elsevier, vol. 123(C).
  6. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
  7. Juite Wang & Tzu-Yen Hsu, 2023. "Early discovery of emerging multi-technology convergence for analyzing technology opportunities from patent data: the case of smart health," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4167-4196, August.
  8. Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
  9. 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.
  10. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
  11. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
  12. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
  13. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  14. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
  15. Krzysztof Klincewicz & Szymon Szumiał, 2022. "Successful patenting—not only how, but with whom: the importance of patent attorneys," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5111-5137, September.
  16. Lara Agostini & Federico Caviggioli & Francesco Galati & Barbara Bigliardi, 2020. "A social perspective of knowledge-based innovation: mobility and agglomeration. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1309-1323, October.
  17. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
  18. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
  19. Jong Wook Lee & So Young Sohn, 2021. "Patent data based search framework for IT R&D employees for convergence technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5687-5705, July.
  20. ZHU Chen & MOTOHASHI Kazuyuki, 2022. "Government R&D spending as a driving force of technology convergence," Discussion papers 22030, Research Institute of Economy, Trade and Industry (RIETI).
  21. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
  22. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
  23. Youngjae Choi & Sanghyun Park & Sungjoo Lee, 2021. "Identifying emerging technologies to envision a future innovation ecosystem: A machine learning approach to patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5431-5476, July.
  24. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  25. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
  26. Daiho Uhm & Jea-Bok Ryu & Sunghae Jun, 2017. "An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
  27. Qian Xu & Hua Cheng, 2021. "Research on the Evolution of Textile Technological Convergence in China," Sustainability, MDPI, vol. 13(5), pages 1-13, February.
  28. Junwei Ma & Jianhua Wang & Philip Szmedra, 2019. "Sustainable Competitive Position of Mobile Communication Companies: Comprehensive Perspectives of Insiders and Outsiders," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
  29. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
  30. Veugelers, Reinhilde & Pezzoni, Michele, 2019. "How fast is this novel technology going to be a hit?," CEPR Discussion Papers 13447, C.E.P.R. Discussion Papers.
  31. Leyva-de la Hiz, Dante I. & Bolívar-Ramos, María Teresa, 2022. "The inverted U relationship between green innovative activities and firms’ market-based performance: The impact of firm age," Technovation, Elsevier, vol. 110(C).
  32. Candiani, Juan Antonio & Gilsing, Victor & Mastrogiorgio, Mariano, 2022. "Technological entry in new niches: Diversity, crowding and generalism," Technovation, Elsevier, vol. 116(C).
  33. Yun, Siyeong & Song, Kisik & Kim, Chulhyun & Lee, Sungjoo, 2021. "From stones to jewellery: Investigating technology opportunities from expired patents," Technovation, Elsevier, vol. 103(C).
  34. Jinho Choi & Sunghun Chung & Yong Sik Chang, 2019. "Is M&A Information Useful for Exploring Promising Industries and Technologies?," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
  35. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
  36. Cristiano Antonelli & Francesco Crespi & Christian A. Mongeau Ospina & Giuseppe Scellato, 2017. "Knowledge composition, Jacobs externalities and innovation performance in European regions," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1708-1720, November.
  37. Caviggioli, Federico & Jensen, Paul & Scellato, Giuseppe, 2020. "Highly skilled migrants and technological diversification in the US and Europe," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  38. Fred Phillips, 2017. "A perspective on ‘Big Data’," Science and Public Policy, Oxford University Press, vol. 44(5), pages 730-737.
  39. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
  40. Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
  41. Zhu, Chen & Motohashi, Kazuyuki, 2022. "Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  42. Eum, Wonsub & Lee, Jeong-Dong, 2019. "Role of production in fostering innovation," Technovation, Elsevier, vol. 84, pages 1-10.
  43. 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.
  44. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
  45. Jing Li & Qian Yu, 2023. "The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
  46. Kim, Tae San & Sohn, So Young, 2020. "Machine-learning-based deep semantic analysis approach for forecasting new technology convergence," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  47. Qian Xu & Yabin Yu & Xiao Yu, 2022. "Analysis of the Technological Convergence in Smart Textiles," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
  48. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  49. Jakob Hoffmann & Johannes Glückler, 2023. "Technological Cohesion and Convergence: A Main Path Analysis of the Bioeconomy, 1900–2020," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
  50. Vesselkov, Alexandr & Hämmäinen, Heikki & Töyli, Juuso, 2018. "Technology and value network evolution in telehealth," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 207-222.
  51. Michele Pezzoni & Reinhilde Veugelers & Fabiana Visentin, 2018. "Is This Novel Technology Going to be a Hit? Antecedents Predicting Technological Novelty Diffusion," GREDEG Working Papers 2018-22, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  52. 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.
  53. Mustafa Zuhal, 2023. "Technological Convergence in Emerging Economies: An Investigation with Unit Root Tests," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(2), pages 567-586, July.
  54. 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.
  55. Christian Mühlroth & Michael Grottke, 2018. "A systematic literature review of mining weak signals and trends for corporate foresight," Journal of Business Economics, Springer, vol. 88(5), pages 643-687, July.
  56. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
  57. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.
  58. Huang, Hung-Chun & Su, Hsin-Ning, 2019. "The innovative fulcrums of technological interdisciplinarity: An analysis of technology fields in patents," Technovation, Elsevier, vol. 84, pages 59-70.
  59. Aaldering, Lukas Jan & Song, Chie Hoon, 2021. "Of leaders and laggards - Towards digitalization of the process industries," Technovation, Elsevier, vol. 105(C).
  60. Na Liu & Jianqi Mao & Jiancheng Guan, 2020. "Knowledge convergence and organization innovation: the moderating role of relational embeddedness," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1899-1921, December.
  61. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
  62. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
  63. Xu, Le & Yang, Lili & Li, Ding & Shao, Shuai, 2023. "Asymmetric effects of heterogeneous environmental standards on green technology innovation: Evidence from China," Energy Economics, Elsevier, vol. 117(C).
  64. Habib Sadri & Ibrahim Yitmen & Lavinia Chiara Tagliabue & Florian Westphal & Algan Tezel & Afshin Taheri & Goran Sibenik, 2023. "Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review," Sustainability, MDPI, vol. 15(4), pages 1-46, February.
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