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
Author
Abstract
Suggested Citation
DOI: 10.1016/j.techsoc.2023.102260
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020.
"Are Ideas Getting Harder to Find?,"
American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
- Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2017. "Are Ideas Getting Harder to Find?," NBER Working Papers 23782, National Bureau of Economic Research, Inc.
- Van Reenen, John & Bloom, Nicholas & Jones, Chad & Webb, Michael, 2017. "Are Ideas Getting Harder to Find?," CEPR Discussion Papers 12294, C.E.P.R. Discussion Papers.
- Bloom, Nicholas A. & Jones, Charles I. & Van Reenen, John & Webb, Michael, 2017. "Are Ideas Getting Harder to Find?," Research Papers repec:ecl:stabus:3592, Stanford University, Graduate School of Business.
- Michael Webb & John Van Reenen & Charles Jones & Nicholas Bloom, 2017. "Are Ideas Getting Harder to Find?," 2017 Meeting Papers 566, Society for Economic Dynamics.
- Bloom, Nicholas & Jones, Charles I & Reenen, John Van & Webb, Michael, 2017. "Are ideas getting harder to find?," LSE Research Online Documents on Economics 86588, London School of Economics and Political Science, LSE Library.
- Bloom, Nicholas & Jones, Charles I & Van Reenen, John & Webb, Michael, 2020. "Are ideas getting harder to find?," LSE Research Online Documents on Economics 104481, London School of Economics and Political Science, LSE Library.
- Nicholas Bloom & Charles I Jones & John Van Reenen & Michael Webb, 2017. "Are ideas getting harder to find?," CEP Discussion Papers dp1496, Centre for Economic Performance, LSE.
- Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
- Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence activity clusters in Australia," Technology in Society, Elsevier, vol. 71(C).
- Naughtin, Claire & Hajkowicz, Stefan & Schleiger, Emma & Bratanova, Alexandra & Cameron, Alicia & Zamin, T & Dutta, A, 2022. "Our Future World: Global megatrends impacting the way we live over coming decades," MPRA Paper 113900, University Library of Munich, Germany.
- Harrison, Sharon & Weder, Mark, 2009.
"Technological change and the roaring twenties: A neoclassical perspective,"
Journal of Macroeconomics, Elsevier, vol. 31(3), pages 363-375, September.
- Sharon Harrison & Mark Weder, 2009. "Technological Change and the Roaring Twenties: A Neoclassical Perspective," School of Economics and Public Policy Working Papers 2009-29, University of Adelaide, School of Economics and Public Policy.
- Sharon Harrison & Mark Weder, 2009. "Technological Change and the Roaring Twenties: A Neoclassical Perspective," Working Papers 0902, Barnard College, Department of Economics.
- Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014.
"Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing,"
American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
- Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in U.S. Manufacturing," NBER Working Papers 19837, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Autor, David & Dorn, David & Hanson, Gordon H. & Price, Brendan, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in U.S. Manufacturing," IZA Discussion Papers 7906, Institute of Labor Economics (IZA).
- Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
- Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
- Pizzi, Simone & Venturelli, Andrea & Variale, Michele & Macario, Giuseppe Pio, 2021. "Assessing the impacts of digital transformation on internal auditing: A bibliometric analysis," Technology in Society, Elsevier, vol. 67(C).
- Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
- De la Vega, Iván & Requena, Jaime & Fernández-Gómez, Rodolfo, 2015. "The colors of biotechnology in Venezuela: A bibliometric analysis," Technology in Society, Elsevier, vol. 42(C), pages 123-134.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- Boeing, Philipp & Hünermund, Paul, 2020.
"A global decline in research productivity? Evidence from China and Germany,"
Economics Letters, Elsevier, vol. 197(C).
- Böing, Philipp & Hünermund, Paul, 2020. "A global decline in research productivity? Evidence from China and Germany," ZEW Discussion Papers 20-030, ZEW - Leibniz Centre for European Economic Research.
- Stefano Baruffaldi & Brigitte van Beuzekom & Hélène Dernis & Dietmar Harhoff & Nandan Rao & David Rosenfeld & Mariagrazia Squicciarini, 2020. "Identifying and measuring developments in artificial intelligence: Making the impossible possible," OECD Science, Technology and Industry Working Papers 2020/05, OECD Publishing.
- Na Liu & Philip Shapira & Xiaoxu Yue, 2021. "Tracking developments in artificial intelligence research: constructing and applying a new search strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3153-3192, April.
- Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ullah, Rafid & Ismail, Hishamuddin Bin & Islam Khan, Mohammad Tariqul & Zeb, Ali, 2024. "Nexus between Chat GPT usage dimensions and investment decisions making in Pakistan: Moderating role of financial literacy," Technology in Society, Elsevier, vol. 76(C).
- Roppelt, Julia Stefanie & Kanbach, Dominik K. & Kraus, Sascha, 2024. "Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors," Technology in Society, Elsevier, vol. 76(C).
- Zahlan, Ahmed & Ranjan, Ravi Prakash & Hayes, David, 2023. "Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research," Technology in Society, Elsevier, vol. 74(C).
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.- Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022. "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper 115464, University Library of Munich, Germany.
- Parteka, Aleksandra & Kordalska, Aleksandra, 2023.
"Artificial intelligence and productivity: global evidence from AI patent and bibliometric data,"
Technovation, Elsevier, vol. 125(C).
- Aleksandra Parteka & Aleksandra Kordalska, 2022. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," GUT FME Working Paper Series A 67, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
- 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.
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024.
"AI as a new emerging technological paradigm: evidence from global patenting,"
DISCE - Quaderni 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.
- Zuzanna Helena Zarach & Aleksandra Parteka, 2023.
"Productivity effects of trade in natural resources—comparison with mechanisms of technological specialisation,"
The World Economy, Wiley Blackwell, vol. 46(9), pages 2684-2706, September.
- Zuzanna Zarach & Aleksandra Parteka, 2022. "Productivity effects of trade in natural resources - comparison with mechanisms of technological specialisation," GUT FME Working Paper Series A 68, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
- 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.
- Naudé, Wim & Nagler, Paula, 2022. "The Ossified Economy: The Case of Germany, 1870-2020," IZA Discussion Papers 15607, Institute of Labor Economics (IZA).
- 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.
- Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
- Saima Javed & Yu Rong & Babar Nawaz Abbasi, 2024. "Convergence analysis of artificial intelligence research capacity: Are the less developed catching up with the developed ones?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 2172-2192, May.
- Dell'Anno, Roberto & Caferra, Rocco & Morone, Andrea, 2020.
"A “Trojan Horse” in the peer-review process of fee-charging economic journals,"
Journal of Informetrics, Elsevier, vol. 14(3).
- Rocco Caferra & Roberto Dell'Anno & Andrea Morone, 2020. "A "Trojan Horse" in the peer-review process of fee-charging economic journals," Framed Field Experiments 00701, The Field Experiments Website.
- Nathalie Taverdet-Popiolek, 2022. "Economic Footprint of a Large French Research and Technology Organisation in Europe: Deciphering a Simplified Model and Appraising the Results," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 44-69, March.
- Ho, Jerry & Hoang, Vincent & Wilson, Clevo, 2020. "Government R&D Subsidies and International Competitiveness of Labor-managed Firms," MPRA Paper 106896, University Library of Munich, Germany, revised 09 Dec 2020.
- 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).
- Li, Qing & Hu, Dezhuang & Li, Tang, 2022. "The innovation of family firms in China: New evidence from the China employer-employee survey," China Economic Review, Elsevier, vol. 72(C).
- 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.
- 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.
- Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
- Pereira, Vijay & Bamel, Umesh & Paul, Happy & Varma, Arup, 2022. "Personality and safety behavior: An analysis of worldwide research on road and traffic safety leading to organizational and policy implications," Journal of Business Research, Elsevier, vol. 151(C), pages 185-196.
- Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
More about this item
Keywords
Artificial intelligence; Machine learning; Bibliometric analysis; Technology adoption; Technology diffusion;All these keywords.
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:eee:teinso:v:74:y:2023:i:c:s0160791x23000659. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.