Effects of Artificial Intelligence-Based Technologies Implementation s on the Skills Needed in the Automotive Industry A Bibliometric Analysis
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- 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.
- Daron Acemoglu & Pascual Restrepo, 2020.
"The wrong kind of AI? Artificial intelligence and the future of labour demand,"
Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
- Daron Acemoglu & Pascual Restrepo, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," NBER Working Papers 25682, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Restrepo, Pascual, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," CEPR Discussion Papers 14223, C.E.P.R. Discussion Papers.
- Acemoglu, Daron & Restrepo, Pascual, 2019. "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," IZA Discussion Papers 12292, Institute of Labor Economics (IZA).
- Weiyong Zou & Yunjun Xiong, 2023. "Does artificial intelligence promote industrial upgrading? Evidence from China," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 1666-1687, March.
- Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022.
"Artificial Intelligence and Jobs: Evidence from Online Vacancies,"
Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
- Acemoglu, Daron & Autor, David & Hazell, Jonathon & Restrepo, Pascual, 2022. "Artificial intelligence and jobs: evidence from online vacancies," LSE Research Online Documents on Economics 113325, London School of Economics and Political Science, LSE Library.
- Khare, Apoorv & Jain, Rajesh, 2022. "Mapping the conceptual and intellectual structure of the consumer vulnerability field: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 567-584.
- Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
- Nausheen Nizami & Tulika Tripathi & Meha Mohan, 2022. "Transforming Skill Gap Crisis into Opportunity for Upskilling in India’s IT-BPM Sector," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(3), pages 845-862, September.
- Herbert Dawid & Michael Neugart, 2023.
"Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model,"
Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
- Dawid, Herbert & Neugart, Michael, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 135859, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Dawid, Herbert & Neugart, Michael, 2024. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 146300, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Daron Acemoglu & Pascual Restrepo, 2018.
"Artificial Intelligence, Automation, and Work,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236,
National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," NBER Working Papers 24196, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-298, Boston University - Department of Economics.
- 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.
- Beliz, Gustavo & Basco, Ana Inés & de Azevedo, Belisario, 2019. "Harnessing the opportunities of inclusive technologies in a global economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-15.
- Paola Tubaro & Antonio A. Casilli, 2019.
"Micro-work, artificial intelligence and the automotive industry,"
Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
- Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Post-Print hal-02148979, HAL.
- Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
- 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.
- Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
- Henry Lopez-Vega & Jerker Moodysson, 2023. "Digital Transformation of the Automotive Industry: An Integrating Framework to Analyse Technological Novelty and Breadth," Industry and Innovation, Taylor & Francis Journals, vol. 30(1), pages 67-102, January.
- Ully Y. Nafizah & Stephen Roper & Kevin Mole, 2024. "Estimating the innovation benefits of first-mover and second-mover strategies when micro-businesses adopt artificial intelligence and machine learning," Small Business Economics, Springer, vol. 62(1), pages 411-434, January.
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More about this item
Keywords
artificial intelligence (AI); skills; automotive industry; bibliometric analysis; automation; implementation; tasks.;All these keywords.
JEL classification:
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- D29 - Microeconomics - - Production and Organizations - - - Other
- E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
- L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
- M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
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