Dynamic patterns of AI technology diffusion: focusing on time series clustering and patent analysis
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DOI: 10.1007/s11192-025-05283-5
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- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021.
"The Productivity J-Curve: How Intangibles Complement General Purpose Technologies,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," NBER Working Papers 25148, National Bureau of Economic Research, Inc.
- Sahal, Devendra, 1985. "Technological guideposts and innovation avenues," Research Policy, Elsevier, vol. 14(2), pages 61-82, April.
- Joshua Lerner, 1994. "The Importance of Patent Scope: An Empirical Analysis," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 319-333, Summer.
- Holger Graf & Matthias Menter, 2022.
"Public research and the quality of inventions: the role and impact of entrepreneurial universities and regional network embeddedness,"
Small Business Economics, Springer, vol. 58(2), pages 1187-1204, February.
- Holger Graf & Matthias Menter, 2020. "Public research and the quality of inventions: the role and impact of entrepreneurial universities and regional network embeddedness," Jena Economics Research Papers 2020-011, Friedrich-Schiller-University Jena.
- Konstantina Spanaki & Uthayasankar Sivarajah & Masoud Fakhimi & Stella Despoudi & Zahir Irani, 2022. "Disruptive technologies in agricultural operations: a systematic review of AI-driven AgriTech research," Annals of Operations Research, Springer, vol. 308(1), pages 491-524, January.
- Nicholas Crafts, 2021. "Artificial intelligence as a general-purpose technology: an historical perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 521-536.
- Won Sang Lee & Hyo Shin Choi & So Young Sohn, 2018. "Forecasting new product diffusion using both patent citation and web search traffic," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-12, April.
- Petralia, Sergio, 2020. "Mapping general purpose technologies with patent data," Research Policy, Elsevier, vol. 49(7).
- Sergio Petralia, 2020. "Mapping General Purpose Technologies with Patent Data," Papers in Evolutionary Economic Geography (PEEG) 2027, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2020.
- Dahlin, Kristina B. & Behrens, Dean M., 2005. "When is an invention really radical?: Defining and measuring technological radicalness," Research Policy, Elsevier, vol. 34(5), pages 717-737, June.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018.
"Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57,
National Bureau of Economic Research, Inc.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2017. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Working Papers 24001, National Bureau of Economic Research, Inc.
- Dosi, Giovanni, 1993.
"Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change,"
Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
- Dosi, Giovanni, 1982. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 11(3), pages 147-162, June.
- Giovanni Valentini, 2012. "Measuring the effect of M&A on patenting quantity and quality," Strategic Management Journal, Wiley Blackwell, vol. 33(3), pages 336-346, March.
- Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023.
"Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings,"
Research Policy, Elsevier, vol. 52(1).
- Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2022. "Could Machine Learning be a General Purpose Technology? A Comparison of Emerging Technologies Using Data from Online Job Postings," NBER Working Papers 29767, National Bureau of Economic Research, Inc.
- repec:plo:pone00:0071823 is not listed on IDEAS
- Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
- Bronwyn H. Hall & Manuel Trajtenberg, 2004. "Uncovering GPTS with Patent Data," NBER Working Papers 10901, National Bureau of Economic Research, Inc.
- Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1992.
"Ivory Tower Versus Corporate Lab: An Empirical Study of Basic Research and Appropriability,"
NBER Working Papers
4146, National Bureau of Economic Research, Inc.
- Trajtenberg, M., 1992. "Ivory Tower Versus Corporate Lab : An Empirical Study of Basic Research and Appropriability," Papers 15-92, Tel Aviv.
- Manoranjan Mishra & Sudarsan Desul & Celso Augusto Guimarães Santos & Shailendra Kumar Mishra & Abu Hena Mustafa Kamal & Shreerup Goswami & Ahmed Mukalazi Kalumba & Ramakrishna Biswal & Richarde Marqu, 2024. "A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 11101-11143, May.
- Cecere, Grazia & Corrocher, Nicoletta & Gossart, Cédric & Ozman, Muge, 2014.
"Technological pervasiveness and variety of innovators in Green ICT: A patent-based analysis,"
Research Policy, Elsevier, vol. 43(10), pages 1827-1839.
- Grazia Cecere & Nicoletta Corrocher & Cédric Gossart & Müge Özman Gossart, 2014. "Technological pervasiveness and variety of innovators in Green ICT : a patent-based analysis," Grenoble Ecole de Management (Post-Print) hal-02394333, HAL.
- Grazia Cecere & Nicoletta Corrocher & Cédric Gossart & Müge Özman Gossart, 2014. "Technological pervasiveness and variety of innovators in Green ICT : a patent-based analysis," Post-Print hal-02394333, HAL.
- Hanlin You & Mengjun Li & Keith W. Hipel & Jiang Jiang & Bingfeng Ge & Hante Duan, 2017. "Development trend forecasting for coherent light generator technology based on patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 297-315, April.
- Arianna Martinelli & Andrea Mina & Massimo Moggi, 2021.
"The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution [Mapping innovation dynamics in the Internet of Things domain: evidence from patent analysis],"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(1), pages 161-188.
- Arianna Martinelli & Andrea Mina & Massimo Moggi, 2019. "The Enabling Technologies of Industry 4.0: Examining the Seeds of the Fourth Industrial Revolution," LEM Papers Series 2019/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Raiteri, Emilio, 2018. "A time to nourish? Evaluating the impact of public procurement on technological generality through patent data," Research Policy, Elsevier, vol. 47(5), pages 936-952.
- Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Gries, Thomas & Naude, Wim, 2020.
"Artificial Intelligence, Income Distribution and Economic Growth,"
VfS Annual Conference 2020 (Virtual Conference): Gender Economics
224623, Verein für Socialpolitik / German Economic Association.
- Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).
- Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," GLO Discussion Paper Series 632, Global Labor Organization (GLO).
- Taylor, Margaret & Taylor, Andrew, 2012. "The technology life cycle: Conceptualization and managerial implications," International Journal of Production Economics, Elsevier, vol. 140(1), pages 541-553.
- Scott Shane, 2001. "Technological Opportunities and New Firm Creation," Management Science, INFORMS, vol. 47(2), pages 205-220, February.
- 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).
- Kristina Dahlin & Deans M. Behrens, 2005. "When is an invention really radical? Defining and measuring technological radicalness," Post-Print hal-00480416, HAL.
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
- Birgitte Andersen, 1999. "The hunt for S-shaped growth paths in technological innovation: a patent study," Journal of Evolutionary Economics, Springer, vol. 9(4), pages 487-526.
- Falk Nathan & Train Kenneth, 2017. "Patent Valuation with Forecasts of Forward Citations," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 12(1), pages 101-121, February.
- Maryann P. Feldman & Ji Woong Yoon, 2012. "An empirical test for general purpose technology: an examination of the Cohen--Boyer rDNA technology," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 21(2), pages 249-275, April.
- Lee, Changyong & Kim, Juram & Kwon, Ohjin & Woo, Han-Gyun, 2016. "Stochastic technology life cycle analysis using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 106(C), pages 53-64.
- Philip Hans Franses & Thomas Wiemann, 2020. "Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 59-75, June.
- Soyea Lee & Junseok Hwang & Eunsang Cho, 2022. "Comparing technology convergence of artificial intelligence on the industrial sectors: two-way approaches on network analysis and clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 407-452, January.
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
- Lidan Jiang & Jingyan Chen & Yuhan Bao & Fang Zou, 2022. "Exploring the patterns of international technology diffusion in AI from the perspective of patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5307-5323, September.
- 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.
- Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
- Fredrik Hacklin & Vicente Raurich & Christian Marxt, 2005. "Implications Of Technological Convergence On Innovation Trajectories: The Case Of Ict Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 313-330.
- Sang Hyuk Kim & Hee Soo Lee & Han Jun Ko & Seung Hwan Jeong & Hyun Woo Byun & Kyong Joo Oh, 2018. "Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
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- C00 - Mathematical and Quantitative Methods - - General - - - General
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
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