IDEAS home Printed from https://ideas.repec.org/r/eee/worpat/v5y1983i3p137-143.html

Patent trends as a technological forecasting tool

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Seok Jin Youn & Yong-Jae Lee & Ha-Eun Han & Chang-Woo Lee & Donggyun Sohn & Chulung Lee, 2024. "A Data Analytics and Machine Learning Approach to Develop a Technology Roadmap for Next-Generation Logistics Utilizing Underground Systems," Sustainability, MDPI, vol. 16(15), pages 1-32, August.
  2. 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.
  3. Jianhua Hou & Shiqi Tang & Yang Zhang, 2024. "A novel technology life cycle analysis method based on LSTM and CRF," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1173-1196, March.
  4. Arash Hajikhani & Arho Suominen, 2022. "Mapping the sustainable development goals (SDGs) in science, technology and innovation: application of machine learning in SDG-oriented artefact detection," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6661-6693, November.
  5. Tobias Schultheiss & Uschi Backes-Gellner, 2024. "Does updating education curricula accelerate technology adoption in the workplace? Evidence from dual vocational education and training curricula in Switzerland," The Journal of Technology Transfer, Springer, vol. 49(1), pages 191-235, February.
  6. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
  7. Ju, Yonghan & Sohn, So Young, 2015. "Patent-based QFD framework development for identification of emerging technologies and related business models: A case of robot technology in Korea," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 44-64.
  8. Alptekin Durmuşoğlu, 2017. "Effects of Clean Air Act on Patenting Activities in Chemical Industry: Learning from Past Experiences," Sustainability, MDPI, vol. 9(5), pages 1-10, May.
  9. Taeyeoun Roh & Yujin Jeong & Byungun Yoon, 2017. "Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
  10. Brockhoff, Klaus K., 1991. "Instruments for patent data analyses in business firms," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 264, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  11. Fareri, Silvia & Apreda, Riccardo & Mulas, Valentina & Alonso, Ruben, 2023. "The worker profiler: Assessing the digital skill gaps for enhancing energy efficiency in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  12. Fu, Ben-Ran & Hsu, Sung-Wei & Liu, Chih-Hsi & Liu, Yu-Ching, 2014. "Statistical analysis of patent data relating to the organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 986-994.
  13. 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.
  14. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
  15. Najmeh Masoumi & Reza Khajavi, 2023. "A fuzzy classifier for evaluation of research topics by using keyword co-occurrence network and sponsors information," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1485-1512, March.
  16. Wang, Junyao & Chen, Runkai & Huang, Chao & Guo, Zhaoyu & Song, Jian & He, Song & Zheng, Yawen & Deng, Shuai & Chen, Ying & Wang, Yongzhen & Cao, Xiangkun Elvis & Li, Shuangjun, 2026. "Mapping innovations in direct air capture: A systematic patent review and literature comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
  17. Chi-Yo Huang & Liang-Chieh Wang & Ying-Ting Kuo & Wei-Ti Huang, 2021. "A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process," Mathematics, MDPI, vol. 9(19), pages 1-24, October.
  18. Liao, Pin-Chao & Zhang, Kenan & Wang, Tao & Wang, Yanqing, 2016. "Integrating bibliometrics and roadmapping: A case of strategic promotion for the ground source heat pump in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 292-301.
  19. Nadezhda Mikova & Anna Sokolova, 2014. "Selection of information sources for identifying technology trends: A comparative analysis," HSE Working papers WP BRP 25/STI/2014, National Research University Higher School of Economics.
  20. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
  21. 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.
  22. 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.
  23. Park, Sanghyun & Kim, Giyun & Lee, Sungjoo, 2026. "Evaluating the value of LLMs in patent-based technology intelligence: Toward increasing efficiency and reducing expert dependency," Technological Forecasting and Social Change, Elsevier, vol. 222(C).
  24. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.
  25. Chung-Chu Chuang & Chung-Min Tsai & Hsiao-Chen Chang & Yi-Hsien Wang, 2021. "Applying Quantile Regression to Assess the Relationship between R&D, Technology Import and Patent Performance in Taiwan," JRFM, MDPI, vol. 14(8), pages 1-14, August.
  26. Choi, Jinho & Hwang, Yong-Sik, 2014. "Patent keyword network analysis for improving technology development efficiency," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 170-182.
  27. Tie Wei & Haiyan Xu & Bangzhu Zhu & Zhicheng Duan, 2025. "Factors influencing the patent value in reverse innovation of developing country under background of carbon neutrality," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(10), pages 23753-23773, October.
  28. Christopher L. Benson & Christopher L. Magee, 2013. "A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 69-82, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.