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The impact of artificial intelligence on labor productivity
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- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021.
"May AI Revolution Be Labour-Friendly? Some Micro Evidence from the Supply Side,"
IZA Discussion Papers
14309, Institute of Labor Economics (IZA).
- Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
- Mariacristina Piva & Massimiliano Tani & Marco Vivarelli, 2023. "The productivity impact of short-term labor mobility across industries," Small Business Economics, Springer, vol. 60(2), pages 691-705, February.
- Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
- Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023.
"Artificial intelligence and firm-level productivity,"
Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
- Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2022. "Artificial intelligence and firm-level productivity," ZEW Discussion Papers 22-005, ZEW - Leibniz Centre for European Economic Research.
- Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- 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).
- Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
- Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
- Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
- Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
- Bäck, Asta & Hajikhani, Arash & Jäger, Angela & Schubert, Torben & Suominen, Arho, 2022. "Return of the Solow-paradox in AI? AI-adoption and firm productivity," Papers in Innovation Studies 2022/1, Lund University, CIRCLE - Centre for Innovation Research.
- Andreas Diemer & Simona Iammarino & Andrés Rodríguez-Pose & Michael Storper, 2022.
"The Regional Development Trap in Europe,"
Economic Geography, Taylor & Francis Journals, vol. 98(5), pages 487-509, October.
- RodrÃguez-Pose, Andrés & Diemer, Andreas & Iammarino, Simona & Storper, Michael, 2022. "The Regional Development Trap in Europe," CEPR Discussion Papers 17371, C.E.P.R. Discussion Papers.
- Diemer, Andreas & Iammarino, Simona & Rodríguez-Pose, Andrés & Storper, Michael, 2022. "The regional development trap in Europe," LSE Research Online Documents on Economics 115149, London School of Economics and Political Science, LSE Library.
- Andreas Diemer & Simona Iammarino & Andres Rodriguez-Pose & Michael Storper, 2022. "The Regional Development Trap in Europe," Papers in Evolutionary Economic Geography (PEEG) 2209, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2022.
- Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022.
"Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects,"
The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
- Chowdhury, Farhat & Link, Albert & van Hasselt, Martijn, 2022. "Public Support for Research in Artificial Intelligence: A Descriptive Study of U.S. Department of Defense SBIR Projects," UNCG Economics Working Papers 22-3, University of North Carolina at Greensboro, Department of Economics.
- Friedrich, Teresa Sophie & Laible, Marie-Christine & Pollak, Reinhard & Schongen, Sebastian & Schulz, Benjamin & Vicari, Basha, 2021. "Grasping Digitalization in the Working World: An Example From the German National Educational Panel Study [Die Erfassung von Digitalisierung in der Arbeitswelt: Ein Beispiel aus dem Nationalen Bild," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 72(4), pages 415-452.
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2021. "Detecting the labour-friendly nature of AI product innovation," DISCE - Quaderni del Dipartimento di Politica Economica dipe0017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
- Jing Li & Zidong An & Yan Wang, 2023. "On the Substitution and Complementarity between Robots and Labor: Evidence from Advanced and Emerging Economies," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
- Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
- Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
- Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
- repec:gdk:wpaper:67 is not listed on IDEAS
- Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Zarges, Lara & Garnitz, Johanna & von Maltzan, Annette & Wohlrabe, Klaus, 2023. "Der Investitionsstandort Deutschland aus Sicht der Familienunternehmen: Jahresmonitor der Stiftung Familienunternehmen," Studien, Stiftung Familienunternehmen / Foundation for Family Businesses, number 281020, June.
- Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Alexander Kopka & Dirk Fornahl, 2024. "Artificial intelligence and firm growth — catch-up processes of SMEs through integrating AI into their knowledge bases," Small Business Economics, Springer, vol. 62(1), pages 63-85, January.
- Ke-Liang Wang & Ting-Ting Sun & Ru-Yu Xu, 2023. "The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises," Economic Change and Restructuring, Springer, vol. 56(2), pages 1113-1146, April.
- Davide Lanfranchi & Laura Grassi, 2021. "Translating technological innovation into efficiency: the case of US public P&C insurance companies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 565-585, December.
- Sudatta Kar & Arpan Kumar Kar & Manmohan Prasad Gupta, 2021. "Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 217-238, October.
- Alexander V. Giczy & Nicholas A. Pairolero & Andrew A. Toole, 2022. "Identifying artificial intelligence (AI) invention: a novel AI patent dataset," The Journal of Technology Transfer, Springer, vol. 47(2), pages 476-505, April.