Análise de Pesquisas sobre o Impacto das Tecnologias Modernas e as Transformações no Mundo do Trabalho (2013 – 2020)
DOI:
https://doi.org/10.24023/FutureJournal/2175-5825/2021.v13i3.593Keywords:
Tecnologias, Disruptivas, Futuro, Trabalho, DesempregoAbstract
Objetivo: Este artigo tem por objetivo organizar o que já foi escrito a respeito das transformações no mundo do trabalho e identificar as principais diferenças entre as pesquisas e as teorias.
Método: Foram analisados 145 artigos entre publicações internacionais e nacionais disponíveis nas bases Crossref, DOAJ, portal de periódicos da Capes e sites de institutos internacionais de pesquisa.
Originalidade/Relevância: Na literatura é possível encontrar diversos trabalhos que discutem de forma teórica o processo de automação do emprego. Entretanto, a partir de 2013 começaram a surgir estudos que investigaram o nível dessa automação em face dos avanços da tecnologia moderna, quantificaram o percentual de empregos que desapareceriam nos próximos 20 ou 30 anos e estabeleceram possíveis soluções. Por tratar-se de previsões, os números são divergentes e as teorias ainda não verificadas. É importante revisitar e identificar as principais diferenças entre pesquisas e teorias que tratam do tema proposto.
Resultados: O estudo mostra que as previsões indicam que é necessário estabelecer políticas públicas que auxiliem o processo de automação das empresas, apoiem a competitividade, mas também incluam estratégias que salvaguardem os profissionais que possam vir a ser negativamente afetados.
Contribuições teóricas: O artigo apresenta visões distintas sobre o que acontecerá com o mercado de trabalho no futuro, e uma seleção de referências bibliográficas necessárias para todos aqueles que se interessam pelo tema.
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References
Acemoglu, D.; Restrepo, P. Robots and Jobs: evidence form US Labor Markets. Working Paper. National Bureau of Economic Research, 2017.
Aghio, P.; Howitt, P. Growth and Unemployment. Review of Economic Studies. v.61, p. 477-94, 1994.
Albuquerque, P. H. M., Saavedra, C. A. P. B., Morais, R. L., Alves, P. L., & Yaohai, P. (2019). Na era das máquinas, o emprego é de quem? Estimação na era das máquinas, o emprego é de quem? Estimação da probabilidade de automação de ocupações no Brasil. Instituto de Pesquisa Econômica Aplicada - IPEAD, 2019.
Anthes, E. The shape of work to come. Nature, v. 550, p. 316-319, 2017.
Arntz, M.; Gregory, T.; Zierahn, U. The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis, OECD Social, Employment and Migration Working Papers. OECD Publishing, n. 189, Paris, 2016.
Autor, D. H.; Dorn, D. Technology Anxiety: Past and Present. Bureau for Employers Activities. International Labor Office, 2013a.
Autor, D. H.; Dorn, D. The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market. American Economic Review, v. 103, n.5, p. 1553-1597, 2013b.
Autor, D. H.; Handel, M. Putting Tasks to the Test: Human Capital, Job Tasks, and Wages. Journal of Labor Economics, v. 31, n. 2, p. S59–S96, 2013.
Autor, D. H.; Levy, F.; Murnane, R. J. The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, v. 118, n. 4, p. 1279-1333, 2003.
Bell, D. The Coming of Post-Industrial Society: A Venture in Social Forecasting. New York: Basic Books, 1973.
Bennion, E. G. Unemployment in the theories of Schumpeter and Keynes. American, 1943
Berriman, R.; Hawksworth, J. Will robots steal our jobs? The potential impact of automation on the UK and other major economies. UK Economic Outlook, p. 30-47, 2017.
Blanchard, O; Katz, L. What we know and do not know about the natural rate of unemployment. Journal of Economic Perspectives. v.11, p. 51-72, 1997.
Boianovsky, M., Trautwein, H.-M. Wicksell, Cassel and the idea of involuntary unemployment. History of Political Economy, v. 35, p. 385-436, 2003.
Bowles, J. The Computerisation of European Jobs. Bruegel. 2014. Disponível em: <http://bruegel.org/2014/07/the-computerisation-of-european-jobs/> Acesso em: 18 abril, 2019.
Brown, J. et al. Workforce of the future: The competing forces shaping 2030. PwC, 2017.
Brynjolfsson, E. Mcafee, A. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton, 2014.
Brzeski, C.; Burk, I. Die Roboter kommen. Folgen der Automatisierung für den deutschen Arbeitsmarkt [The Robots Come. Consequences of Automation for the German Labour Market]. ING DiBa Economic Research, 2015.
Chanad, J .P. Z. Desemprego Tecnológico: Fim dos Empregos? Informações Fipe, p. 14-19, 2017.
Chang, J.-H.; Huynh, P. ASEAN in transformation: The future of jobs at risk of automation. Bureau for Employers’ Activities Working Paper. n. 9, 2016.
CNI. Indústria 4.0: novo desafio para a indústria brasileira. Sondagem Especial, Industria 4.0, v. 17, n. 2, 2016.
Durrant-Whyte, H. et al. The Impact of Computerisation and Automation on Future Employment. Committee for Economic Development of Australia. TQ. 2015. Disponível em: < http://techquarterly.asia/node/64>. Acesso em: 18 junho 2019.
Freita, C. E. Desemprego Tecnológico no Brasil: um estudo da indústria de transformação à luz das ideias de Ricardo, Marx e Keynes (1990-2008). Dissertação de Mestrado. Universidade Estadual de Maringá, 2010.
Fioravante, D. G. Efeitos da Inovação Tecnológica sobre o Emprego. In: Coelho, D., & Gusso, D. (Orgs.). Impactos tecnológicos sobre a demanda por trabalho no Brasil. Instituto de Pesquisa Aplicada (Ipea), p. 104-124, 2011.
Ford, M. Rise of the robots: Technology and the threat of a jobless future. New York: Basic Books, 2015.
Freeman, C.; Clark, J.; Soete, L. Unemployment and Technical Innovation. London: Frances Pinter, 1982.
Frey, C. B.; Osborne, M. A. The Future of Employment: How Susceptible are Jobs to Computerisation? Oxford Martin School Working Papers, 2013.
Fuei, K. Automation, Computerisation and Future Employment. SSRN Electronic Journal, 2016.
Gorz, A. O imaterial: conhecimento, valor e capital. Tradução de Celso Azzan Jr. São Paulo: Annablume, 2005.
Goo, M.; Manning, A. Lousy and Lovely Jobs: The Rising Polarization of Work in Britain. The Review of Economics and Statistics. v.89, n.1, p.118-133, 2007.
Gulbrason, C. The future of work: The impact of disruptive technologies on jobs and skills. University of California. 2018. Disponível em: https://www.ucop.edu/innovation-entrepreneurship/innovation-resources/dr-christine-articles/the-future-of-work.html. Acesso em: 06 maio 2019.
Harari, Y. N. Reboot for the AI revolution. Nature, v. 550, p. 324–327, 2017.
IBAEDP. O Futuro do Emprego: Estudo de pesquisadores de Oxford: Quase metade das profissões corre risco. Instituto Brasileiro de Altos Estudos do Direito Público. 2015. Disponível em: <http://www.altosestudos.com.br/?p=53698/> Acesso em: 18 Abril. 2019.
IMD. World digital competitiveness ranking 2018. World Competitiveness Center. 2018. Disponível em: https://www.imd.org/wcc/world-competitiveness-center-rankings/world-digital-competitiveness-rankings-2018/?MRK_CMPG_SOURCE=DME_1518016&utm_source=DM&utm_medium=em&utm_campaign=DME_1518016/. Acesso em: 122 abril. 2019.
Jepsen, M.; Drahokoupil, J. The digital economy and its implications for labour. The consequences of digitalisation for the labour Market. Transfer, v. 23, n. 3, p. 249–262, 2017.
Kapeliushnikov, R. The phantom of technological unemployment. Russian Journal of Economics, n.5, p. 88–116, 2019.
Katz, L. F.; Murphy, K. M. Changes in Relative Wages, 1963 - 1987: Supply and Demand Factors. The Quarterly Journal of Economics, v.107, n.1, p. 35–78, 1992.
Katz, L.; Margo, R. Technical Change and the Relative Demand for Skilled Labour: The United States in Historical Perspective, NBER Working Paper 18752, National Bureau of Economic Research, 2013.
Keister, R.; Lewandowski, P. A routine transition in the digital era? The rise of routine work in Central and Eastern Europe. Transfer, v. 23, n. 3, p. 263–279, 2017.
Keynes, J. M. Keynes, Economic Possibilities for our Grandchildren (1930). Essays in Persuasion, New York: Harcourt Brace, p. 358-373, 1932.
Knowles-Cutler, A.; Frey, C. B.; Osborne, M. A. Agile Town: The Relentless March of Technology and London’s Response. Deloitte. 2014. Disponível em https://www2.deloitte.com/uk/en/pages/growth/articles/agiletown-the-relentless-march-of-technology-and-londons-response.html. Acesso em: 23 abril 2019.
Kon, A. Sobre Inovação Tecnológica, Tecnologia Apropriada e Mercado de Trabalho. Revista Ciências do Trabalho, n. 9, 2017.
Howitt, P. Adjusting to technological change. Canadian Journal of Economics. v. 27, p. 763- 75, 1994.
Leontief, W. Machines and Man, Scientific American, 1952.
Leontief, W.; Duchin, F. The Future Impact of Automation on Workers. Oxford University Press, 1986
Karl, M. Capital, Volume 1. Harmondsworth: Penguin, 1976.
Marchat, G. E.; Stevens, Y. A.; Hennessy, J. M. Technology, Unemployment & Policy Options: Navigating the Transition to a Better World. Journal of Evolution and Technology, v. 24. n. 1, p. 26-44, 2014.
McGraw, T. Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Cambridge, Mass, Harvard University Press, 2007.
McKinsey. McKinseyGlobal Institute (Org.). A future that works: Automation, employment, and productivity, 2017.
McKinsey. McKinseyGlobal Institute (Org.). A future that work in America: People and places, today and tomorrow, 2019.
Mussi, C.R.A.R. As Tecnologias Digitais e o Mercado de Trabalho do Futuro. Revista Científica ICGAP, v. 1, n. 1, 2018.
Naastepad, C. W. M.; Budd, C. H. Preventing Technological Unemployment by Widening our Understanding of Capital and Progress: Making Robots Work for Us. Ethics and Social Welfare, v.13, n.2, p. 115-132, 2019
Nedelkoska, L.; Quintini, G. Automation, skills use and training. Employment and Migration Working Paper. OECD Publishing, N. 202, 2018.
Neisser, H. “Permanent” technological unemployment. American Economic Review, v. 32, p. 50-71, 1942.
OCDE. Organisation for Economic Cooperation and Development (Org.). Automation and independent work in a digital economy. Policy Brief on the Future of Work, 2016.
OIT. International Labour Organization (Org.). Trabalhar para um Futuro Melhor. Comissão Mundial sobre o Futuro do Trabalho, 2019.
Pajarinen, M.; Rouvinen, P. Computerization Threatens One Third of Finnish Employment. ETLA Brief, n. 22, p. 13, 2014.
Pajarinen, M.; Rouvinen, P.; Ekeland, A. Computerization Threatens One-Third of Finnish and Norwegian Employment. ETLA Brief v. 34, p. 1-8, 2015.
Plastino, E.; Zuppolini, M.; Govier, M. (2018). América Latina: competências para o trabalha da era das máquinas inteligentes. Accenture, 2018.
Postel-Vinay, F. The dynamics of technological unemployment. International Economic Review. v. 43, p. 737-60, 2002.
Ricardo, D. Princípios de economia política e tributação. 3a Ed. São Paulo: Abril Cultural, 1982.
Rifkin, J. O fim dos empregos. Tradução de Ruth Gabriela Bahr. São Paulo: Makron Books, 1996.
Rivera-Batiz, F. L. The Job Terminator? Automation, Artificial Intelligence and the Future of Work. Journal of International Affairs. 2018. Disponível em: https://jia.sipa.columbia.edu/online-articles/job-terminator-automation-artificial-intelligence-and-future-work . Acesso em: 03 setembro 2019.
Rodrigues, V.M. Tecnologias 4.0 nos bancos e os impactos no emprego bancário. Revista Ciências do Trabalho, n. 9, 2017.
Rogers, D. L. The Digital Transformation Playbook: rethink your business for the digital age, Columbia University, 2016.
Salamanca P. Novas tecnologias, uma revolução em curso, os efeitos sobre o emprego e os salários. Cadernos do Desenvolvimento, v. 13, n. 22, p. 151-179, 2017.
Schumpeter, J. Unemployment. Der deutsche Volkswirt 1, p. 729– 732, 1926.
Strain, M. 2013. A New Jobs Agenda, National Review Online, 2013.
WB. World Bank (Org.). World Development Report 2016: Digital dividends, 2016.
WEF, World Economic Forum (Org.). The Global Risks Report 2016. Geneva: World Economic Forum, 2016.
WEF. World Economic Forum (Org.). The Future of Jobs Report 2018. Geneva: World Economic Forum, 2018.
Wilson, H. J.; Daugherty, P. R.; Mmorini-Bianzino, N. The Jobs that artificial intelligence will create. MIT Sloan Management Review Summer, v. 58, n. 4, p. 14-16, 2017.
Wilson, H.J., Daugherty, P.R. Collaborative Intelligence: Humans and AI Are Joining Forces. Harvard Business Review, 2018.
Zemtsov, S. New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis. Reg Sci Policy Pract. p. 1–21, 2020.
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