The US university-industry link in the R&D of AI: Back to the origins?
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
- Ben R. Martin, 2012. "Are universities and university research under threat? Towards an evolutionary model of university speciation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 36(3), pages 543-565.
- Pavitt, Keith, 1998. "Technologies, Products and Organization in the Innovating Firm: What Adam Smith Tells Us and Joseph Schumpeter Doesn't," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(3), pages 433-452, September.
- Nelson, Richard R., 1990. "U.S. technological leadership: Where did it come from and where did it go?," Research Policy, Elsevier, vol. 19(2), pages 117-132, April.
- Robert J. Gordon, 2015. "Secular Stagnation: A Supply-Side View," American Economic Review, American Economic Association, vol. 105(5), pages 54-59, May.
- Godin, Benoit & Gingras, Yves, 2000. "The place of universities in the system of knowledge production," Research Policy, Elsevier, vol. 29(2), pages 273-278, February.
- Andrea Borsato & André Lorentz, 2023.
"Data production and the coevolving AI trajectories: an attempted evolutionary model,"
Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
- Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Post-Print hal-04401798, HAL.
- Andrea Borsato, 2024. "Does the Secular Stagnation hypothesis match the data? Evidence from the USA," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 47(2), pages 346-374, April.
- Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2022. "Artificial intelligence in science: An emerging general method of invention," Research Policy, Elsevier, vol. 51(10).
- Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
- Rosenberg, Nathan & Nelson, Richard R., 1994. "American universities and technical advance in industry," Research Policy, Elsevier, vol. 23(3), pages 323-348, May.
- Nasrin Sultana & Ekaterina Turkina & Patrick Cohendet, 2023. "The mechanisms underlying the emergence of innovation ecosystems: the case of the AI ecosystem in Montreal," European Planning Studies, Taylor & Francis Journals, vol. 31(7), pages 1443-1465, July.
- Jacob R. Holm & Daniel S. Hain & Roman Jurowetzki & Edward Lorenz, 2023. "Innovation dynamics in the age of artificial intelligence: introduction to the special issue," Industry and Innovation, Taylor & Francis Journals, vol. 30(9), pages 1141-1155, October.
- Ajay Agrawal & John McHale & Alexander Oettl, 2023. "Superhuman science: How artificial intelligence may impact innovation," Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1473-1517, November.
- Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
- Na Liu & Philip Shapira & Xiaoxu Yue & Jiancheng Guan, 2021. "Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-20, December.
- Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), 1988. "Technical Change and Economic Theory," LEM Book Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number dosietal-1988.
- Dosi, Giovanni & Llerena, Patrick & Labini, Mauro Sylos, 2006. "The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called `European Paradox'," Research Policy, Elsevier, vol. 35(10), pages 1450-1464, December.
- 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.
- 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.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Andrea Borsato & André Lorentz, 2023.
"Data production and the coevolving AI trajectories: an attempted evolutionary model,"
Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
- Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Post-Print hal-04401798, HAL.
- Xu, Yanan & Sun, Yaowu & Zhou, Yiting, 2024. "Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Wu, Yifan & Yuan, Yiming & Song, Xueyin, 2025. "The impact of AI adoption on R&D productivity: Evidence from Chinese pharmaceutical manufacturing industry," Journal of Asian Economics, Elsevier, vol. 97(C).
- Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
- Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
- Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
- Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Malo, Stéphane, 2009. "The contribution of (not so) public research to commercial innovations in the field of combinatorial chemistry," Research Policy, Elsevier, vol. 38(6), pages 957-970, July.
- Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
- Irina Dezhina & V. Kiseleva, 2008. "State, Science and Business in Russia's Innovation System," Research Paper Series, Gaidar Institute for Economic Policy, issue 115P.
- Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
- Havas, Attila, 2007. "Devising futures for universities in a multi-level structure: A methodological experiment," MPRA Paper 66341, University Library of Munich, Germany.
- Havas, Attila, 2014.
"Types of knowledge and diversity of business-academia collaborations: Implications for measurement and policy,"
MPRA Paper
65908, University Library of Munich, Germany, revised 23 May 2015.
- Attila Havas, 2014. "Types of knowledge and diversity of business-academia collaborations Implications for measurement and policy," CERS-IE WORKING PAPERS 1419, Institute of Economics, Centre for Economic and Regional Studies.
- Jaehyuk Park, 2024. "Analyzing the direct role of governmental organizations in artificial intelligence innovation," The Journal of Technology Transfer, Springer, vol. 49(2), pages 437-465, April.
- Dalmarco, Gustavo & Hulsink, Willem & Blois, Guilherme V., 2018. "Creating entrepreneurial universities in an emerging economy: Evidence from Brazil," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 99-111.
- Patsali, Sofia, 2024. "University procurement-led innovation: Sources, procedures, and effects. Some field-study evidence," Technovation, Elsevier, vol. 130(C).
- Sánchez-Barrioluengo, Mabel, 2014. "Articulating the ‘three-missions’ in Spanish universities," Research Policy, Elsevier, vol. 43(10), pages 1760-1773.
- Vincent Larivière & Benoit Macaluso & Philippe Mongeon & Kyle Siler & Cassidy R Sugimoto, 2018. "Vanishing industries and the rising monopoly of universities in published research," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
- Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2022. "Artificial intelligence in science: An emerging general method of invention," Research Policy, Elsevier, vol. 51(10).
- Hayashi, Takayuki, 2003. "Effect of R&D programmes on the formation of university-industry-government networks: comparative analysis of Japanese R&D programmes," Research Policy, Elsevier, vol. 32(8), pages 1421-1442, September.
More about this item
Keywords
; ; ; ;JEL classification:
- I2 - Health, Education, and Welfare - - Education
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2025-05-26 (Artificial Intelligence)
- NEP-CSE-2025-05-26 (Economics of Strategic Management)
- NEP-HIS-2025-05-26 (Business, Economic and Financial History)
- NEP-KNM-2025-05-26 (Knowledge Management and Knowledge Economy)
- NEP-SBM-2025-05-26 (Small Business Management)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ulp:sbbeta:2024-46. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge The email address of this maintainer does not seem to be valid anymore. Please ask the person in charge to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.