Artificial intelligence in science: An emerging general method of invention
Citations
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Cited by:
- Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, "undated".
"Predictive AI and productivity growth dynamics: evidence from French firms,"
FEEM Working Papers
355806, Fondazione Eni Enrico Mattei (FEEM).
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," LEM Papers Series 2025/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Post-Print halshs-05368544, HAL.
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," Working Papers 2025.11, Fondazione Eni Enrico Mattei.
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," PSE-Ecole d'économie de Paris (Postprint) halshs-05368544, HAL.
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2025. "Is artificial intelligence leading to a new technological paradigm?," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 347-359.
- Imjai, Narinthon & Yordudom, Tanakrit & Yaacob, Zulnaidi & Saad, Nor Hasliza Md & Aujirapongpan, Somnuk, 2025. "Impact of AI literacy and adaptability on financial analyst skills among prospective Thai accountants: The role of critical thinking," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
- Andrea Borsato & Patrick Llerena, 2026.
"The US university-industry link in the R&D of AI: Back to the origins?,"
Journal of Evolutionary Economics, Springer, vol. 36(1), pages 1-39, April.
- Andrea Borsato & Patrick Llerena, 2024. "The US university-industry link in the R&D of AI: Back to the origins?," Working Papers of BETA 2024-46, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023.
"The environmental effects of the “twin” green and digital transition in European regions,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
- Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Post-Print hal-04048872, HAL.
- Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024.
"The role of human capital for AI adoption: Evidence from French firms,"
CEP Discussion Papers
dp2055, Centre for Economic Performance, LSE.
- Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," Post-Print hal-05029748, HAL.
- Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2024. "The role of human capital for AI adoption: evidence from French firms," LSE Research Online Documents on Economics 126787, London School of Economics and Political Science, LSE Library.
- 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).
- Rammer, Christian & Doherr, Thorsten & Kinne, Jan & Lenz, David, 2024. "KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 303033.
- Youngsam Chun & Jisoo Hur & Junseok Hwang, 2024. "AI technology specialization and national competitiveness," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
- Daniel Souza & Aldo Geuna & Jeff Rodríguez, 2025.
"How small is big enough? Open labeled datasets and the development of deep learning,"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 34(6), pages 1322-1365.
- Daniel Souza & Aldo Geuna & Jeff Rodr'iguez, 2024. "How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning," Papers 2408.10359, arXiv.org.
- Daniel Souza & Aldo Geuna & Jeff RodrÃguez, 2025. "How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning," Carlo Alberto Notebooks 738 JEL Classification: O, Collegio Carlo Alberto.
- Nathalie Greenan & Dario Guarascio & Jelena Reljic, 2025. "AI and the labour market: opening the black box," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 925-951, December.
- Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024.
"AI as a new emerging technological paradigm: evidence from global patenting,"
DISCE - Working Papers del Dipartimento di Politica Economica
dipe0038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," GLO Discussion Paper Series 1467, Global Labor Organization (GLO).
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," Working Papers of Department of Management, Strategy and Innovation, Leuven 746877, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Zhongyuan Sun & Xuelong Wu & Ying Dong & Xuming Lou, 2025. "How Does Artificial Intelligence Application Enable Sustainable Breakthrough Innovation? Evidence from Chinese Enterprises," Sustainability, MDPI, vol. 17(17), pages 1-25, August.
- Hajkowicz, Stefan & Sanderson, Conrad & Karimi, Sarvnaz & Bratanova, Alexandra & Naughtin, Claire, 2023. "Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021," Technology in Society, Elsevier, vol. 74(C).
- 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).
- Sang Yoon Kim & Won Kyung Lee & Su Jung Jee & So Young Sohn, 2025. "Discovering AI adoption patterns from big academic graph data," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 809-831, February.
- Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
- Marian Oliński & Krzysztof Krukowski & Kacper Sieciński, 2024. "Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences," Publications, MDPI, vol. 12(1), pages 1-16, March.
- Agrawal, Ajay & McHale, John & Oettl, Alexander, 2024.
"Artificial intelligence and scientific discovery: a model of prioritized search,"
Research Policy, Elsevier, vol. 53(5).
- Ajay K. Agrawal & John McHale & Alexander Oettl, 2023. "Artificial Intelligence and Scientific Discovery: A Model of Prioritized Search," NBER Working Papers 31558, National Bureau of Economic Research, Inc.
- 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).
- Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
- Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
- Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2025. "Drivers and barriers of AI adoption and use in scientific research," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
- Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
- Patsali, Sofia, 2024. "University procurement-led innovation: Sources, procedures, and effects. Some field-study evidence," Technovation, Elsevier, vol. 130(C).
- Ding, Xiangan & Appolloni, Andrea & Shahzad, Mohsin & Liu, Yue & Han, Shaojie, 2025. "Digital transformation and total factor productivity in manufacturing firms: Evidence of corporate public responsibilities in China," Technology in Society, Elsevier, vol. 82(C).
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, IZA Network @ LISER.
- 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.
- Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023. "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers 2312.09843, arXiv.org, revised Feb 2024.
- Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
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