Nothing Special   »   [go: up one dir, main page]

create a website
Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System. (2021). Vannuccini, Simone ; Prytkova, Ekaterina.
In: SPRU Working Paper Series.
RePEc:sru:ssewps:2021-02.

Full description at Econpapers || Download paper

Cited: 12

Citations received by this document

Cites: 106

References cited by this document

Cocites: 39

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. AI technologies affording the orchestration of ecosystem-based business models: the moderating role of AI knowledge spillover. (2024). Jin, Jiyang ; Ayub, Muhammad Waleed ; Chin, Tachia ; Deveci, Muhammet.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03003-7.

    Full description at Econpapers || Download paper

  2. Artificial intelligence and radical innovation: an opportunity for all companies?. (2023). Kopka, Alexander ; Grashof, Nils.
    In: Small Business Economics.
    RePEc:kap:sbusec:v:61:y:2023:i:2:d:10.1007_s11187-022-00698-3.

    Full description at Econpapers || Download paper

  3. Coopetition, standardization and general purpose technologies: A framework and an application. (2023). Heikkilä, Jussi ; Ali-Vehmas, Timo ; Rissanen, Julius ; Heikkila, Jussi.
    In: Telecommunications Policy.
    RePEc:eee:telpol:v:47:y:2023:i:4:s0308596122001902.

    Full description at Econpapers || Download paper

  4. The determinants of AI innovation across European firms. (2023). Venturini, Francesco ; Igna, Ioana.
    In: Research Policy.
    RePEc:eee:respol:v:52:y:2023:i:2:s0048733322001822.

    Full description at Econpapers || Download paper

  5. The Kaldor–Verdoorn law at the age of robots and AI. (2023). Lorentz, André ; Borsato, Andrea.
    In: Research Policy.
    RePEc:eee:respol:v:52:y:2023:i:10:s0048733323001579.

    Full description at Econpapers || Download paper

  6. Data Production and the coevolving AI trajectories: An attempted evolutionary model.. (2022). Lorentz, Andre ; Borsato, Andrea.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2022-09.

    Full description at Econpapers || Download paper

  7. Artificial intelligence in science: An emerging general method of invention. (2022). Pelletier, Pierre ; Muller, Moritz ; Bianchini, Stefano.
    In: Post-Print.
    RePEc:hal:journl:hal-03958025.

    Full description at Econpapers || Download paper

  8. Artificial intelligence and industrial innovation: Evidence from German firm-level data. (2022). Czarnitzki, Dirk ; Fernandez, Gaston P ; Rammer, Christian.
    In: Research Policy.
    RePEc:eee:respol:v:51:y:2022:i:7:s0048733322000798.

    Full description at Econpapers || Download paper

  9. Artificial intelligence in science: An emerging general method of invention. (2022). Pelletier, Pierre ; Muller, Moritz ; Bianchini, Stefano.
    In: Research Policy.
    RePEc:eee:respol:v:51:y:2022:i:10:s0048733322001275.

    Full description at Econpapers || Download paper

  10. ICTs Wide Web: a System-Level Analysis of ICTs Industrial Diffusion with Algorithmic Links. (2021). Prytkova, Ekaterina.
    In: Jena Economic Research Papers.
    RePEc:jrp:jrpwrp:2021-005.

    Full description at Econpapers || Download paper

  11. Patenting in 4IR Technologies and Firm Performance. (2021). Francesco, Rentocchini ; Elena, Grinza ; Mario, Benassi ; Laura, Rondi.
    In: JRC Working Papers on Corporate R&D and Innovation.
    RePEc:ipt:wpaper:202101.

    Full description at Econpapers || Download paper

  12. An evolutionary view on the emergence of Artificial Intelligence. (2021). Leusin, Matheus ; Jindra, Bjoern ; Hain, Daniel S.
    In: Papers.
    RePEc:arx:papers:2102.00233.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Acemoglu, D., Autor, D., Hazell, J., and Restrepo, P. (2020). Ai and jobs: Evidence from online vacancies. Technical report, National Bureau of Economic Research.

  2. Agrawal, A., Gans, J., and Goldfarb, A. (2018a). Prediction machines: the simple economics of artificial intelligence. Harvard Business Press.
    Paper not yet in RePEc: Add citation now
  3. Agrawal, A., Gans, J., and Goldfarb, A. (2019). Artificial intelligence: the ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2):31–50.

  4. Agrawal, A., McHale, J., and Oettl, A. (2018b). Finding needles in haystacks: Artificial intelligence and recombinant growth. Technical report, National Bureau of Economic Research.

  5. Ángel Vázquez, M., Henarejos, P., Pérez-Neira, A. I., Grechi, E., Voight, A., Gil, J. C., Pappalardo, I., Credico, F. D., and Lancellotti, R. M. (2020). On the use of ai for satellite communications.
    Paper not yet in RePEc: Add citation now
  6. Asaro, P. (2019). What is an artificial intelligence arms race anyway. ISJLP, 15:45.
    Paper not yet in RePEc: Add citation now
  7. Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, J.-F., and Rahwan, I. (2018). The moral machine experiment. Nature, 563(7729):59–64.

  8. Bekar, C., Carlaw, K., and Lipsey, R. (2018). General purpose technologies in theory, application and controversy: a review. Journal of Evolutionary Economics, 28(5):1005–1033.

  9. Ben-David, S., Hrubeš, P., Moran, S., Shpilka, A., and Yehudayoff, A. (2019). Learnability can be undecidable. Nature Machine Intelligence, 1(1):44–48.
    Paper not yet in RePEc: Add citation now
  10. Beniger, J. R. (1986). The control revolution: technological and economic origins of the information society.
    Paper not yet in RePEc: Add citation now
  11. Bergemann, D. and Bonatti, A. (2019). Markets for information: An introduction. Annual Review of Economics, 11:85–107.

  12. Bianchini, S., Müller, M., and Pelletier, P. (2020). Deep learning in science. arXiv preprint arXiv:2009.01575.
    Paper not yet in RePEc: Add citation now
  13. Boden, M. A. (2016). AI: Its nature and future. Oxford University Press.
    Paper not yet in RePEc: Add citation now
  14. Braitenberg, V. (1986). Vehicles: Experiments in synthetic psychology. MIT press.
    Paper not yet in RePEc: Add citation now
  15. Bresnahan, T. (2019a). Artificial intelligence technologies and aggregate growth prospects.
    Paper not yet in RePEc: Add citation now
  16. Bresnahan, T. and Yin, P.-L. (2010). Reallocating innovative resources around growth bottlenecks.

  17. Bresnahan, T. F. (2019b). Technological change in ict in light of ideas first learned about the machine tool industry. Industrial and Corporate Change, 28(2):331–349.

  18. Bresnahan, T. F. and Trajtenberg, M. (1995). General purpose technologies ‘engines of growth’? Journal of econometrics, 65(1):83–108.

  19. Brodie, M. L. (1989). Future intelligent information systems: Ai and database technologies working together. In Readings in artificial intelligence and databases, pages 623–641. Elsevier.
    Paper not yet in RePEc: Add citation now
  20. Brynjolfsson, E., Rock, D., and Syverson, C. (2021). The productivity j-curve: How intangibles complement general purpose technologies. American Economic Journal: Macroeconomics, 13(1):333–72.

  21. Calo, R. (2014). The case for a federal robotics commission. Brookings Institution. Brookings.
    Paper not yet in RePEc: Add citation now
  22. Cantner, U. and Vannuccini, S. (2012). A new view of general purpose technologies. Technical report, Jena Economic Research Papers.

  23. Cao, S., Jiang, W., Yang, B., and Zhang, A. L. (2020). How to talk when a machine is listening: Corporate disclosure in the age of ai. Technical report, National Bureau of Economic Research.

  24. Chen, Y.-H., Yang, T.-J., Emer, J., and Sze, V. (2019). Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
    Paper not yet in RePEc: Add citation now
  25. Choi, J. (2018). The rise of 3d printing and the role of user firms in the us: evidence from patent data. Technology Analysis & Strategic Management, 30(10):1195–1209.
    Paper not yet in RePEc: Add citation now
  26. Couldry, N. and Mejias, U. A. (2019). Data colonialism: Rethinking big data’s relation to the contemporary subject. Television & New Media, 20(4):336–349.
    Paper not yet in RePEc: Add citation now
  27. Crawford, K., Dobbe, R., Dryer, T., Fried, G., Green, B., Kaziunas, E., Kak, A., Mathur, V., McElroy, E., Sánchez, A. N., et al. (2019). Ai now 2019 report. New York, NY: AI Now Institute.
    Paper not yet in RePEc: Add citation now
  28. David, P. A. and Wright, G. (2003). General purpose technologies and surges in productivity. The economic future in historical perspective.
    Paper not yet in RePEc: Add citation now
  29. Davies, A. (1996). Innovation in large technical systems: the case of telecommunications. Industrial and Corporate Change, 5(4):1143–1180.

  30. December 2020.20. Riskwork in the Construction of Heathrow Terminal 2. Rebecca Vine. 2020.19. The Origin of the Sharing Economy Meets the Legacy of Fractional Ownership. Francesco Pasimeni.
    Paper not yet in RePEc: Add citation now
  31. Domingos, P. and Lowd, D. (2019). Unifying logical and statistical ai with markov logic. Communications of the ACM, 62(7):74–83.
    Paper not yet in RePEc: Add citation now
  32. Eckersley, P., Nasser, Y., et al. (2017). Eff ai progress measurement project.
    Paper not yet in RePEc: Add citation now
  33. Ekbia, H. R. and Nardi, B. A. (2017). Heteromation, and other stories of computing and capitalism. MIT Press.
    Paper not yet in RePEc: Add citation now
  34. Ewertsson, L. and Ingelstam, L. (2004). Large technical systems: A multidisciplinary research tradition. In Systems Approaches and Their Application, pages 291–309. Springer.
    Paper not yet in RePEc: Add citation now
  35. Feldman, M. P. and Yoon, J. W. (2012). An empirical test for general purpose technology: an examination of the cohen–boyer rdna technology. Industrial and Corporate Change, 21(2):249– 275.

  36. Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., and Wichmann, F. A. (2020). Shortcut learning in deep neural networks. Nature Machine Intelligence, 2(11):665–673.
    Paper not yet in RePEc: Add citation now
  37. Gökalp, I. (1992). On the analysis of large technical systems. Science, Technology, and Human Values, pages 57–78.
    Paper not yet in RePEc: Add citation now
  38. Goldfarb, A. and Tucker, C. (2019). Digital economics. Journal of Economic Literature, 57(1):3– 43.

  39. Goldfarb, A., Gans, J., and Agrawal, A. (2019). The Economics of Artificial Intelligence: An Agenda. University of Chicago Press.

  40. Graham, S. J. and Iacopetta, M. (2014). Nanotechnology and the emergence of a general purpose technology. Annals of Economics and Statistics/Annales D’Économie et de Statistique, (115/116):25–55.

  41. Greenstein, S. (2020). The basic economics of internet infrastructure. Journal of Economic Perspectives, 34(2):192–214.

  42. Griliches, Z. (1957). Hybrid corn: An exploration in the economics of technological change. Econometrica, Journal of the Econometric Society, pages 501–522.
    Paper not yet in RePEc: Add citation now
  43. Henderson, R. M. and Clark, K. B. (1990). Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative science quarterly, pages 9–30.
    Paper not yet in RePEc: Add citation now
  44. Hernandez, D. and Brown, T. B. (2020). Measuring the algorithmic efficiency of neural networks.
    Paper not yet in RePEc: Add citation now
  45. Hooker, S. (2020). The hardware lottery. arXiv preprint arXiv:2009.06489.
    Paper not yet in RePEc: Add citation now
  46. Hughes, T. P. (1983). Networks of power: Electric supply systems in the us, england and germany, 1880-1930. Baltimore: Johns Hopkins University.
    Paper not yet in RePEc: Add citation now
  47. Hughes, T. P. et al. (1987). The evolution of large technological systems. The social construction of technological systems: New directions in the sociology and history of technology, 82.
    Paper not yet in RePEc: Add citation now
  48. Iansiti, M. and Lakhani, K. R. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. Harvard Business Press.
    Paper not yet in RePEc: Add citation now
  49. Inaba, T. and Squicciarini, M. (2017). Ict: A new taxonomy based on the international patent classification.

  50. Isdahl, R. and Gundersen, O. E. (2019). Out-of-the-box reproducibility: A survey of machine learning platforms. In 2019 15th international conference on eScience (eScience), pages 86–95. IEEE.
    Paper not yet in RePEc: Add citation now
  51. January 2021.01. Exploring the links between research demand and supply: The case of Chagas. Valeria Arza and Agustina Colonna.
    Paper not yet in RePEc: Add citation now
  52. Joerges, B. (1988). Large technical systems: the concept and the issues. Wiss.-zentrum für Sozialforschung.
    Paper not yet in RePEc: Add citation now
  53. Jones, C. I. and Tonetti, C. (2020). Nonrivalry and the economics of data. American Economic Review, 110(9):2819–58.

  54. Jovanovic, B. and Rousseau, P. L. (2005). General purpose technologies. In Handbook of economic growth, volume 1, pages 1181–1224. Elsevier.

  55. Klinger, J., Mateos-Garcia, J., and Stathoulopoulos, K. (2020). A narrowing of ai research? arXiv preprint arXiv:2009.10385.
    Paper not yet in RePEc: Add citation now
  56. Koutroumpis, P., Leiponen, A., and Thomas, L. (2020a). Markets for data. Industrial and Corporate Change, 29(3).
    Paper not yet in RePEc: Add citation now
  57. Koutroumpis, P., Leiponen, A., and Thomas, L. D. (2020b). Digital instruments as invention machines. Communications of the ACM.
    Paper not yet in RePEc: Add citation now
  58. Kreuchauff, F. and Teichert, N. (2014). Nanotechnology as general purpose technology. Technical report, KIT Working Paper Series in Economics.

  59. Langlois, R. N. and Steinmueller, W. E. (2000). Strategy and circumstance: The response of american firms to japanese competition in semiconductors, 1980–1995. Strategic Management Journal, 21(10-11):1163–1173.

  60. Lee, K.-F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin Harcourt.
    Paper not yet in RePEc: Add citation now
  61. Lehrer, M., Banerjee, P. M., and Wang, I. K. (2016). The improvement trajectory of pcr dna replication and erp software as general purpose technologies: an exploratory study of ‘anchor technologies’. Technology Analysis & Strategic Management, 28(3):290–304.
    Paper not yet in RePEc: Add citation now
  62. Li, T., Sahu, A. K., Talwalkar, A., and Smith, V. (2020). Federated learning: Challenges, methods, and future directions. IEEE Signal Processing Magazine, 37(3):50–60.
    Paper not yet in RePEc: Add citation now
  63. Marcus, G. (2020). The next decade in ai: four steps towards robust artificial intelligence. arXiv preprint arXiv:2002.06177.
    Paper not yet in RePEc: Add citation now
  64. Minsky, M. (1961). Steps toward artificial intelligence. Proceedings of the IRE, 49(1):8–30.
    Paper not yet in RePEc: Add citation now
  65. Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. Penguin UK.
    Paper not yet in RePEc: Add citation now
  66. Mohamed, S., Png, M.-T., and Isaac, W. (2020). Decolonial ai: Decolonial theory as sociotechnical foresight in artificial intelligence. Philosophy & Technology, pages 1–26.
    Paper not yet in RePEc: Add citation now
  67. Mokyr, J. (1990). Punctuated equilibria and technological progress. The American Economic Review, 80(2):350–354.

  68. Nagy, B., Farmer, J. D., Bui, Q. M., and Trancik, J. E. (2013). Statistical basis for predicting technological progress. PloS one, 8(2):e52669.

  69. Nightingale, P., Brady, T., Davies, A., and Hall, J. (2003). Capacity utilization revisited: software, control and the growth of large technical systems. Industrial and Corporate Change, 12(3):477–517.

  70. Nilsson, N. J. (2009). The quest for artificial intelligence. Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  71. November 2020.18. Sustainability and Industrial Change: The Hindering Role of Complexity. Tommaso Ciarli and Karolina Safarzynska.

  72. October 2020.17. Interplay of Policy Experimentation and Institutional Change in Transformative Policy Mixes: The Case of Mobility as a Service in Finland. Paula Kivimaa and Karoline S. Rogge.

  73. Perez, C. (2010). Technological revolutions and techno-economic paradigms. Cambridge journal of economics, 34(1):185–202.

  74. Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., Lyons, T., Manyika, J., Mishra, S., and Niebles, J. C. (2019). The ai index 2019 annual report. AI Index Steering Committee, Human-Centered AI Institute, Stanford University, Stanford, CA.
    Paper not yet in RePEc: Add citation now
  75. Prytkova, E. (2021). Ict’s wide web: a system-level analysis of ict’s industrial diffusion with algorithmic links. Available at SSRN.
    Paper not yet in RePEc: Add citation now
  76. Prytkova, E. and Vannuccini, S. (2020). On the basis of brain: Neural-network-inspired change in general purpose chips. SWPS.

  77. Robinson, D. K. and Mazzucato, M. (2019). The evolution of mission-oriented policies: Exploring changing market creating policies in the us and european space sector. Research Policy, 48(4):936–948.

  78. Rosenberg, N. (1963). Technological change in the machine tool industry, 1840-1910. Journal of economic history, pages 414–443.

  79. Rosenberg, N. (1969). The direction of technological change: inducement mechanisms and focusing devices. Economic development and cultural change, 18(1, Part 1):1–24.

  80. Sahal, D. (1985). Technological guideposts and innovation avenues. Research policy, 14(2):61–82.

  81. Savona, M. (2019). The value of data: Towards a framework to redistribute it. SWPS.

  82. Schot, J. and Steinmueller, W. E. (2018). Three frames for innovation policy: R&d, systems of innovation and transformative change. Research Policy, 47(9):1554–1567.

  83. Science Policy Research Unit University of Sussex, Falmer Brighton BN1 9SL United Kingdom SPRU website: www.sussex.ac.uk/business-school/spru SWPS website: www.sussex.ac.uk/business-school/spru/research/working-papers Twitter: @spru Recent papers in the SPRUWorking Paper Series: Suggested citation: Simone Vannuccini and Ekaterina Prytkova (2021). Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System (SWPS), 2021-02. ISSN 2057-6668. Available at: www.sussex.ac.uk/ spru/research/swps.
    Paper not yet in RePEc: Add citation now
  84. Senior, A. W., Evans, R., Jumper, J., Kirkpatrick, J., Sifre, L., Green, T., Qin, C., Žı́dek, A., Nelson, A. W., Bridgland, A., et al. (2020). Improved protein structure prediction using potentials from deep learning. Nature, 577(7792):706–710.

  85. Shapiro, C., Carl, S., Varian, H. R., et al. (1998). Information rules: a strategic guide to the network economy. Harvard Business Press.
    Paper not yet in RePEc: Add citation now
  86. Simcoe, T. and Watson, J. (2019). Forking, fragmentation, and splintering. Strategy Science, 4(4):283–297.

  87. Slonim, N., Bilu, Y., and Alzate, C. (2021). An autonomous debating system. Nature, 379–384.
    Paper not yet in RePEc: Add citation now
  88. Snowden, E. (2019). Permanent record. Macmillan.
    Paper not yet in RePEc: Add citation now
  89. Sovacool, B. K., Lovell, K., and Ting, M. B. (2018). Reconfiguration, contestation, and decline: conceptualizing mature large technical systems. Science, Technology, & Human Values, 43(6):1066–1097.
    Paper not yet in RePEc: Add citation now
  90. Spiekermann, M. (2019). Data marketplaces: Trends and monetisation of data goods. Intereconomics, 54(4):208–216.

  91. Srinivasan, D. (2019). Why google dominates advertising markets. SSRN.
    Paper not yet in RePEc: Add citation now
  92. Steinmueller, W. E. (1992). The economics of flexible integrated circuit manufacturing technology. Review of Industrial Organization, 7(3-4):327–349.
    Paper not yet in RePEc: Add citation now
  93. Steinmueller, W. E. (2006). Learning in the knowledge-based economy: the future as viewed from the past. New Frontiers in the Economics of Innovation and New Technology. Essays in Honour of Paul A. David. Cheltenham, UK: Edward Elgar, pages 207–238.

  94. Steinmueller, W. E. (2007). The economics of icts: Building blocks and implications. In The Oxford handbook of information and communication technologies.
    Paper not yet in RePEc: Add citation now
  95. Steinmueller, W. E. (2010). Economics of technology policy. In Handbook of the Economics of Innovation, volume 2, pages 1181–1218. Elsevier.

  96. Strohmaier, R. and Rainer, A. (2016). Studying general purpose technologies in a multi-sector framework: The case of ict in denmark. Structural Change and Economic Dynamics, 36:34–49.

  97. Strohmaier, R., Schuetz, M., and Vannuccini, S. (2019). A systemic perspective on socioeconomic transformation in the digital age. Journal of Industrial and Business Economics, 46(3):361– 378.

  98. Strubell, E., Ganesh, A., and McCallum, A. (2019). Energy and policy considerations for deep learning in nlp. arXiv preprint arXiv:1906.02243.
    Paper not yet in RePEc: Add citation now
  99. Taddy, M. (2019). The technological elements of artificial intelligence. The Economics of Artificial Intelligence: An Agenda, page 61.
    Paper not yet in RePEc: Add citation now
  100. Thoma, G. (2009). Striving for a large market: evidence from a general purpose technology in action. Industrial and Corporate Change, 18(1):107–138.

  101. Trajtenberg, M. (2018). Ai as the next gpt: a political-economy perspective. Technical report, National Bureau of Economic Research.

  102. Tubaro, P., Casilli, A. A., and Coville, M. (2020). The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence. Big Data & Society, 7(1):2053951720919776.

  103. van der Vleuten, E. (2009). Large technical systems. A Companion to the Philosophy of Technology, pages 218–222.
    Paper not yet in RePEc: Add citation now
  104. Van Roy, V., Vertesy, D., and Damioli, G. (2020). Ai and robotics innovation. Handbook of Labor, Human Resources and Population Economics, pages 1–35.
    Paper not yet in RePEc: Add citation now
  105. WIPO, W. (2019). Technology trends 2019: Artificial intelligence. Geneva: World Intellectual Property Organization.
    Paper not yet in RePEc: Add citation now
  106. Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., Lyons, T., Manyika, J., Niebles, J. C., Sellitto, M., et al. (2021). The ai index 2021 annual report. arXiv preprint arXiv:2103.06312.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Economics of ChatGPT: A Labor Market View on the Occupational Impact of Artificial Intelligence. (2023). Zarifhonarvar, Ali.
    In: EconStor Preprints.
    RePEc:zbw:esprep:268826.

    Full description at Econpapers || Download paper

  2. The Kaldor-Verdoorn Law at the Age of Robots and AI.. (2023). Lorentz, André ; Borsato, Andrea.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2023-12.

    Full description at Econpapers || Download paper

  3. Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia. (2023). Gurtov, V A ; Stepus, I S ; Averyanov, A O.
    In: Studies on Russian Economic Development.
    RePEc:spr:sorede:v:34:y:2023:i:1:d:10.1134_s1075700723010021.

    Full description at Econpapers || Download paper

  4. Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment. (2023). Zhang, Weilong ; Chuan, Amanda.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp16089.

    Full description at Econpapers || Download paper

  5. Automation technologies and their impact on employment: A review, synthesis and future research agenda. (2023). Trento, Sandro ; Banno, Mariasole ; Filippi, Emilia.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523001336.

    Full description at Econpapers || Download paper

  6. Whats driving the diffusion of next-generation digital technologies?. (2023). Kim, In Chul ; Destefano, Timothy ; Cho, Jaehan ; Paik, Jin Hyun.
    In: Technovation.
    RePEc:eee:techno:v:119:y:2023:i:c:s0166497222000244.

    Full description at Econpapers || Download paper

  7. Artificial intelligence and firm-level productivity. (2023). Rammer, Christian ; Fernández, Gastón P. ; Czarnitzki, Dirk ; Fernandez, Gaston P.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:211:y:2023:i:c:p:188-205.

    Full description at Econpapers || Download paper

  8. The Cost of Regulatory Compliance in the United States. (2023). Simkovic, Michael ; ben Zhang, Miao ; Trebbi, Francesco.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_10589.

    Full description at Econpapers || Download paper

  9. Artificial intelligence adoption in a competitive market. (2023). Gans, Joshua S.
    In: Economica.
    RePEc:bla:econom:v:90:y:2023:i:358:p:690-705.

    Full description at Econpapers || Download paper

  10. GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. (2023). Rock, Daniel ; Mishkin, Pamela ; Manning, Sam ; Eloundou, Tyna.
    In: Papers.
    RePEc:arx:papers:2303.10130.

    Full description at Econpapers || Download paper

  11. .

    Full description at Econpapers || Download paper

  12. The Kaldor-Verdoorn Law’s at the Age of Robots and AI.. (2022). Lorentz, André ; Borsato, Andrea.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2022-25.

    Full description at Econpapers || Download paper

  13. Data Production and the coevolving AI trajectories: An attempted evolutionary model.. (2022). Lorentz, Andre ; Borsato, Andrea.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2022-09.

    Full description at Econpapers || Download paper

  14. Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job and data. (2022). Okane, Layla ; Vona, Francesco ; Sato, Misato ; Saussay, Aurelien.
    In: Working Papers.
    RePEc:fem:femwpa:2022.31.

    Full description at Econpapers || Download paper

  15. Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data. (2022). Okane, Layla ; Vona, Francesco ; Sato, Misato ; Saussay, Aurelien.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:117254.

    Full description at Econpapers || Download paper

  16. Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data. (2022). Okane, Layla ; Vona, Francesco ; Sato, Misato ; Saussay, Aurelien.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:117253.

    Full description at Econpapers || Download paper

  17. New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data. (2022). Sorgner, Alina ; Fossen, Frank.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:175:y:2022:i:c:s004016252100812x.

    Full description at Econpapers || Download paper

  18. When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy. (2022). Kim, Wonjoon ; Choi, Sukwoong ; Lee, Yong Suk.
    In: Technovation.
    RePEc:eee:techno:v:118:y:2022:i:c:s0166497222001377.

    Full description at Econpapers || Download paper

  19. Artificial intelligence and industrial innovation: Evidence from German firm-level data. (2022). Czarnitzki, Dirk ; Fernandez, Gaston P ; Rammer, Christian.
    In: Research Policy.
    RePEc:eee:respol:v:51:y:2022:i:7:s0048733322000798.

    Full description at Econpapers || Download paper

  20. Artificial intelligence, firms and consumer behavior: A survey. (2022). Rondi, Laura ; Cambini, Carlo ; Abrardi, Laura.
    In: Journal of Economic Surveys.
    RePEc:bla:jecsur:v:36:y:2022:i:4:p:969-991.

    Full description at Econpapers || Download paper

  21. Exploring Artificial Intelligence as a General Purpose Technology with Patent Data -- A Systematic Comparison of Four Classification Approaches. (2022). Bennett, Lauren ; Verendel, Vilhelm ; Tarannum, Taheya ; Hotte, Kerstin.
    In: Papers.
    RePEc:arx:papers:2204.10304.

    Full description at Econpapers || Download paper

  22. AI, Ageing and Brain-Work Productivity: Technological Change in Professional Japanese Chess. (2022). Hayashi, Ryohei ; Yamamura, Eiji.
    In: Papers.
    RePEc:arx:papers:2204.07888.

    Full description at Econpapers || Download paper

  23. Artificial Intelligence and work: a critical review of recent research from the social sciences. (2022). Corbin, Thomas ; Deranty, Jean-Philippe.
    In: Papers.
    RePEc:arx:papers:2204.00419.

    Full description at Econpapers || Download paper

  24. Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job and data. (2022). Okane, Layla ; Vona, Francesco ; Sato, Misato ; Saussay, Aurelien.
    In: FEEM Working Papers.
    RePEc:ags:feemwp:329079.

    Full description at Econpapers || Download paper

  25. .

    Full description at Econpapers || Download paper

  26. Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?. (2021). scicchitano, sergio ; Carbonero, Francesco.
    In: GLO Discussion Paper Series.
    RePEc:zbw:glodps:765.

    Full description at Econpapers || Download paper

  27. Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System. (2021). Vannuccini, Simone ; Prytkova, Ekaterina.
    In: SPRU Working Paper Series.
    RePEc:sru:ssewps:2021-02.

    Full description at Econpapers || Download paper

  28. From Blue to Steel-Collar Jobs: The Decline in Employment Gaps?. (2021). Lerch, Benjamin.
    In: IdEP Economic Papers.
    RePEc:lug:wpidep:2102.

    Full description at Econpapers || Download paper

  29. Human Capital and Production Structure: Evidence from Greece. (2021). Giouli, Eleni ; Kanzola, Anna-Maria ; Yorgos, Pisinas.
    In: European Journal of Economics and Business Studies Articles.
    RePEc:eur:ejesjr:364.

    Full description at Econpapers || Download paper

  30. Human Capital and Production Structure: Evidence from Greece. (2021). Giouli, Eleni ; Kanzola, Anna-Maria ; Yorgos, Pisinas.
    In: European Journal of Economics and Business Studies Articles.
    RePEc:eur:ejesjr:361.

    Full description at Econpapers || Download paper

  31. The demand for AI skills in the labor market. (2021). Azar, Jose ; Alekseeva, Liudmila ; Taska, Bledi ; Samila, Sampsa ; Gine, Mireia.
    In: Labour Economics.
    RePEc:eee:labeco:v:71:y:2021:i:c:s0927537121000373.

    Full description at Econpapers || Download paper

  32. Automation and the future of work: How rhetoric shapes the response in policy preferences. (2021). Jeffrey, Karen.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:192:y:2021:i:c:p:417-433.

    Full description at Econpapers || Download paper

  33. Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment. (2021). Chuan, A ; Zhang, W.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:2177.

    Full description at Econpapers || Download paper

  34. Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. (2021). Seamans, Robert ; Raj, Manav ; Felten, Edward.
    In: Strategic Management Journal.
    RePEc:bla:stratm:v:42:y:2021:i:12:p:2195-2217.

    Full description at Econpapers || Download paper

  35. occupation2vec: A general approach to representing occupations. (2021). Muhlbach, Nicolaj Sondergaard.
    In: Papers.
    RePEc:arx:papers:2111.02528.

    Full description at Econpapers || Download paper

  36. Exposure of occupations to technologies of the fourth industrial revolution. (2021). Mendoncca, Joana ; Frank, Morgan R ; Meindl, Benjamin.
    In: Papers.
    RePEc:arx:papers:2110.13317.

    Full description at Econpapers || Download paper

  37. Estimating the number of entities with vacancies using administrative and online data. (2021). Pater, Robert ; Cherniaiev, Herman ; Berkesewicz, Maciej.
    In: Papers.
    RePEc:arx:papers:2106.03263.

    Full description at Econpapers || Download paper

  38. .

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2024-11-28 04:19:24 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated October, 6 2023. Contact: CitEc Team.