Industrial Policy for Emerging Technologies: The Case of Narrow AI and the Manufacturing Value Chain as Blueprint for the Industrial Metaverse
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- Padmore, Tim & Schuetze, Hans & Gibson, Hervey, 1998. "Modeling systems of innovation: An enterprise-centered view," Research Policy, Elsevier, vol. 26(6), pages 605-624, February.
- Sotarauta, Markku & Srinivas, Smita, 2006. "Co-evolutionary policy processes: Understanding innovative economies and future resilience," MPRA Paper 52689, University Library of Munich, Germany.
- Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009.
"Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems',"
Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
- David, Paul & Aghion, Philippe, 2008. "Science, Technology and Innovation for Economic Growth: Linking Policy Research and Practice in "STIG Systems"," MPRA Paper 12096, University Library of Munich, Germany.
- 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.
- 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.
- Heiberger, Richard & Robbins, Naomi, 2014. "Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i05).
- Magro, Edurne & Wilson, James R., 2013. "Complex innovation policy systems: Towards an evaluation mix," Research Policy, Elsevier, vol. 42(9), pages 1647-1656.
- Wall, Larry D., 2018. "Some financial regulatory implications of artificial intelligence," Journal of Economics and Business, Elsevier, vol. 100(C), pages 55-63.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019.
"Economic Policy for Artificial Intelligence,"
Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Chapters, in: Innovation Policy and the Economy, Volume 19, pages 139-159, National Bureau of Economic Research, Inc.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12823, eSocialSciences.
- Avi Goldfarb & Joshua Gans & Ajay Agrawal, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12798, eSocialSciences.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Working Papers 24690, National Bureau of Economic Research, Inc.
- Gawer, Annabelle, 2014. "Bridging differing perspectives on technological platforms: Toward an integrative framework," Research Policy, Elsevier, vol. 43(7), pages 1239-1249.
- Ulrich Witt, 2003. "Economic policy making in evolutionary perspective," Journal of Evolutionary Economics, Springer, vol. 13(2), pages 77-94, April.
- Robert A. Mundell, 1962. "The Appropriate Use of Monetary and Fiscal Policy for Internal and External Stability," IMF Staff Papers, Palgrave Macmillan, vol. 9(1), pages 70-79, March.
- Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
- David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
- Beth‐Anne Schuelke‐Leech & Sara R. Jordan & Betsy Barry, 2019. "Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles," Review of Policy Research, Policy Studies Organization, vol. 36(4), pages 547-579, July.
- Padmore, Tim & Gibson, Hervey, 1998. "Modelling systems of innovation: II. A framework for industrial cluster analysis in regions," Research Policy, Elsevier, vol. 26(6), pages 625-641, February.
- Giandomenico Majone, 2002. "The Precautionary Principle and its Policy Implications," Journal of Common Market Studies, Wiley Blackwell, vol. 40(1), pages 89-109, March.
- van Liebergen, Bart, 2017. "Machine learning: A revolution in risk management and compliance?," Journal of Financial Transformation, Capco Institute, vol. 45, pages 60-67.
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More about this item
Keywords
Artificial Intelligence; Emerging Technologies; Manufacturing ; Value Chain; System; Policy Mix;All these keywords.
JEL classification:
- A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
- B5 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches
- B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
- H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
- M29 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Other
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
- Y4 - Miscellaneous Categories - - Dissertations
- Z1 - Other Special Topics - - Cultural Economics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CSE-2024-08-26 (Economics of Strategic Management)
- NEP-HME-2024-08-26 (Heterodox Microeconomics)
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