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Technology life cycle analysis method based on patent documents

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Cited by:

  1. Lin, Hsing-Er & Hsu, I-Chieh & Hsu, Audrey Wenhsin & Chung, Hsi-Mei, 2020. "Creating competitive advantages: Interactions between ambidextrous diversification strategy and contextual factors from a dynamic capability perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  2. Byeongki Jeong & Janghyeok Yoon, 2017. "Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information," Sustainability, MDPI, vol. 9(4), pages 1-22, March.
  3. Cagnin, Cristiano & Havas, Attila & Saritas, Ozcan, 2013. "Future-oriented technology analysis: Its potential to address disruptive transformations," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 379-385.
  4. Mohammad Dehghani Madvar & Hossein Khosropour & Abdollah Khosravanian & Maryam Mirafshar & Morteza Rezapour & Behrouz Nouri, 2016. "Patent-Based Technology Life Cycle Analysis: The Case of the Petroleum Industry," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(4), pages 72-79.
  5. Serkan Altuntas & Zulfiye Erdogan & Turkay Dereli, 2020. "A clustering-based approach for the evaluation of candidate emerging technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1157-1177, August.
  6. Myoungjae Choi & Sun-Hi Yoo & Jongtaik Lee & Jeongsub Choi & Byunghoon Kim, 2022. "A modified gamma/Gompertz/NBD model for estimating technology lifetime," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5731-5751, October.
  7. Noh, Heeyong & Song, Young-Keun & Lee, Sungjoo, 2016. "Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations," Telecommunications Policy, Elsevier, vol. 40(10), pages 956-970.
  8. Jiwon Yu & Jong-Gyu Hwang & Jumi Hwang & Sung Chan Jun & Sumin Kang & Chulung Lee & Hyundong Kim, 2020. "Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
  9. Perruchas, François & Consoli, Davide & Barbieri, Nicolò, 2020. "Specialisation, diversification and the ladder of green technology development," Research Policy, Elsevier, vol. 49(3).
  10. André Souza Oliveira & Raphael Oliveira dos Santos & Bruno Caetano dos Santos Silva & Lilian Lefol Nani Guarieiro & Matthias Angerhausen & Uwe Reisgen & Renelson Ribeiro Sampaio & Bruna Aparecida Souz, 2021. "A Detailed Forecast of the Technologies Based on Lifecycle Analysis of GMAW and CMT Welding Processes," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
  11. 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.
  12. Hong Joo Lee & Hoyeon Oh, 2020. "A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
  13. Cristiano Ziegler & Tiago Sinigaglia & Mario Eduardo Santos Martins & Adriano Mendonça Souza, 2021. "Technological Advances to Reduce Apis mellifera Mortality: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
  14. Nicoló Barbieri & François Perruchas & Davide Consoli, 2020. "Specialization, Diversification, and Environmental Technology Life Cycle," Economic Geography, Taylor & Francis Journals, vol. 96(2), pages 161-186, March.
  15. Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  16. H. Simon & N. Sick, 2016. "Technological distance measures: new perspectives on nearby and far away," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1299-1320, June.
  17. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  18. 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.
  19. Sajjad Shokouhyar & Mehrdad Maghsoudi & Shahrzad Khanizadeh & Saeid Jorfi, 2024. "Analyzing supply chain technology trends through network analysis and clustering techniques: a patent-based study," Annals of Operations Research, Springer, vol. 341(1), pages 313-348, October.
  20. Yalcin, Haydar & Daim, Tugrul U., 2022. "Logistics, supply chain management and technology research: An analysis on the axis of technology mining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  21. Sergey Kortov & Dmitry Shulgin & Dmitrii Tolmachev & Anastassiya Yegarmina, 2017. "Technology Trends Analysis Using Patent Landscaping," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 935-947.
  22. Johannes Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 307-323, January.
  23. Yinan Li & Neng Zhu & Beibei Qin, 2019. "What Affects the Progress and Transformation of New Residential Building Energy Efficiency Promotion in China: Stakeholders’ Perceptions," Energies, MDPI, vol. 12(6), pages 1-41, March.
  24. Fei Yuan & Kumiko Miyazaki, 2017. "Trajectory Identification as Proxies for Discerning the Dynamic Nature of Technological Change — The Case of Electric Vehicles Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-20, February.
  25. Wang, Yinghuan & Wang, Baolin & Yan, Yan, 2022. "Does network externality affect your project? Evidences from reward-based technology crowdfunding," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  26. René Lezama-Nicolás & Marisela Rodríguez-Salvador & Rosa Río-Belver & Iñaki Bildosola, 2018. "A bibliometric method for assessing technological maturity: the case of additive manufacturing," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1425-1452, December.
  27. Dedehayir, Ozgur & Steinert, Martin, 2016. "The hype cycle model: A review and future directions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 28-41.
  28. Christian Ulrich & Benjamin Frieske & Stephan A. Schmid & Horst E. Friedrich, 2022. "Monitoring and Forecasting of Key Functions and Technologies for Automated Driving," Forecasting, MDPI, vol. 4(2), pages 1-24, May.
  29. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
  30. Gross, Robert & Hanna, Richard & Gambhir, Ajay & Heptonstall, Philip & Speirs, Jamie, 2018. "How long does innovation and commercialisation in the energy sectors take? Historical case studies of the timescale from invention to widespread commercialisation in energy supply and end use technolo," Energy Policy, Elsevier, vol. 123(C), pages 682-699.
  31. Lin, Deming & Liu, Wenbin & Guo, Yinxin & Meyer, Martin, 2021. "Using technological entropy to identify technology life cycle," Journal of Informetrics, Elsevier, vol. 15(2).
  32. 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.
  33. Xi Yang & Xiang Yu & Xin Liu, 2018. "Obtaining a Sustainable Competitive Advantage from Patent Information: A Patent Analysis of the Graphene Industry," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
  34. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
  35. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
  36. Natalia Wagner & Bogusz Wiśnicki, 2022. "The Importance of Emerging Technologies to the Increasing of Corporate Sustainability in Shipping Companies," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
  37. June Young Lee & Sejung Ahn & Dohyun Kim, 2021. "Deep learning-based prediction of future growth potential of technologies," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
  38. Hohberger, Jan, 2016. "Diffusion of science-based inventions," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 66-77.
  39. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  40. Peter M. Bican & Dirk Caspary & Carsten C. Guderian, 2023. "Cross-Border Dynamics of IP Modularity: International Patenting in LEDs and Lithium-Ion Secondary Battery Technology," Management International Review, Springer, vol. 63(2), pages 347-376, April.
  41. Carsten C. Guderian, 2019. "Identifying Emerging Technologies with Smart Patent Indicators: The Example of Smart Houses," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-24, April.
  42. Jing Ma & Yaohui Pan & Chih-Yi Su, 2022. "Organization-oriented technology opportunities analysis based on predicting patent networks: a case of Alzheimer’s disease," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5497-5517, September.
  43. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
  44. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
  45. Sinigaglia, Tiago & Eduardo Santos Martins, Mario & Cezar Mairesse Siluk, Julio, 2022. "Technological evolution of internal combustion engine vehicle: A patent data analysis," Applied Energy, Elsevier, vol. 306(PA).
  46. André Souza Oliveira & Bruno Caetano dos Santos Silva & Cristiano Vasconcellos Ferreira & Renelson Ribeiro Sampaio & Bruna Aparecida Souza Machado & Rodrigo Santiago Coelho, 2021. "Adding Technology Sustainability Evaluation to Product Development: A Proposed Methodology and an Assessment Model," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
  47. Chie Hoon Song, 2023. "Examining the Patent Landscape of E-Fuel Technology," Energies, MDPI, vol. 16(5), pages 1-19, February.
  48. Johannes VAN DER POL & Jean Paul RAMESHKOUMAR, 2016. "The co-evolution of knowledge and collaboration networks: The role of technology life-cycle in Structural Composite Materials," Cahiers du GREThA (2007-2019) 2016-25, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  49. Zabala-Iturriagagoitia, Jon Mikel & Porto Gómez, Igone & Aguirre Larracoechea, Urko, 2020. "Technological diversification: a matter of related or unrelated varieties?," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  50. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
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