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Incidences potentielles de l'industrie 4.0 sur les travailleurs
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Mots-clés

Industrie 4.0
Innovation technologique
Emploi
Phobie numérique

Comment citer

Junqueira, A., Lima, Y., & Souza, J. M. de . (2021). Incidences potentielles de l’industrie 4.0 sur les travailleurs: perceptions des Brésiliens et des Portugais. RBEST: Revista Brasileira De Economia Social E Do Trabalho, 3(00), e021010. https://doi.org/10.20396/rbest.v3i00.15638

Résumé

Depuis la révolution industrielle, les conditions de travail ont connu de profondes transformations. En
200 ans environ, des bonds en avant ont été réalisés du point de vue technologique, économique et
social. Le 21e siècle a apporté des découvertes qui déclenchent des changements très importants, avec
un fort impact sur les travailleurs. Cette étude a permis de vérifier les attentes des Brésiliens et des
Portugais face aux défis des nouvelles technologies. Les résultats montrent que la plupart des gens ont
encore peu ou pas de connaissances sur les implications des innovations numériques, mais qu'ils
appréhendent l'avenir, montrant une incertitude quant aux avantages et même une certaine “phobie
du numérique”. Tous s'accordent à dire que l'industrie 4.0 entraînera de nombreux changements et que les bons emplois seront difficiles à trouver. En outre, il est clair que les gouvernements, les
entreprises, les écoles et les particuliers ont une grande responsabilité dans la préparation de la maind'œuvre à relever les défis de la quatrième révolution industrielle.

https://doi.org/10.20396/rbest.v3i00.15638
PDF (Português (Brasil))

Références

Acemoglu, D. (2002). Technical change, inequality, and the labor market. Journal of Economic Literature, 40(1), 7–72. https://www.aeaweb.org/articles?id=10.1257/0022051026976

Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: implications for employment and earnings. In D. Card & O. Ashenfelter (Eds.), Handbook of labor economics (Vol. 4, pp. 1043–1171). Elsevier. https://doi.org/10.1016/S0169-7218(11)02410-5

Albuquerque, P. H., Saavedra, C. A. P. B., de Morais, R. L., Alves, P. F., & Peng, Y. (2019). Na era das máquinas, o emprego é de quem? Estimação da probabilidade de automação de ocupações no Brasil [Texto para Discussão, No. 2457], Instituto de Pesquisa Econômica Aplicada. https://www.ipea.gov.br/portal/images/stories/PDFs/TDs/190329_td_2457.pdf

Amorim, J. E. B. de. (2017). A “Indústria 4.0” e a sustentabilidade do modelo de financiamento do regime geral da segurança social. Cadernos de Dereito Actual, (5), 243–254. http://www.cadernosdedereitoactual.es/ojs/index.php/cadernos/article/view/132

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3

Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: an empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333. https://doi.org/10.1162/003355303322552801

Blit, J. (2020). Automation and reallocation: will COVID-19 usher in the future of work? Canadian Public Policy, 46(S2), S192–S202. https://doi.org/10.3138/cpp.2020-065

Briel, S., Osikominu, A., Pfeifer, G., Reutter, M., & Satlukal, S. (2020). Overconfidence and gender differences in wage expectations. [SSRN Scholarly Paper ID 3661437], Social Science Research Network. https://papers.ssrn.com/abstract=3661437

Chernoff, A., & Warman, C. (2020). COVID-19 and implications for automation. [NBER Working Series, No. w27249], National Bureau of Economic Research, Cambridge, MA. https://doi.org/10.3386/w27249

Confederanção Nacional da Indústria (CNI) (2016). Desafios para Indústria 4.0 no Brasil. https://www.portaldaindustria.com.br/publicacoes/2016/8/desafios-para-industria-40-no-brasil/

Dekker, F., Salomons, A., & van der Waal, J. (2017). Fear of robots at work: the role of economic self-interest. Socio-Economic Review, 15(3), 539–562. https://doi.org/10.1093/ser/mwx005

Ding, L., & Molina, J. S. (2020). “Forced automation” by COVID-19? Early trends from current population survey data. [Community Affairs Discussion Paper 88713], Federal Reserve Bank of Philadelphia. https://www.philadelphiafed.org/community-development/workforce-and-economic-development/forced-automation-by-covid-19

Dodel, M., & Mesch, G. S. (2020). Perceptions about the impact of automation in the workplace. Information, Communication & Society, 23(5), 665–680. https://doi.org/10.1080/1369118X.2020.1716043

Duarte, J. B. (Coord.) (2019). Automação e futuro do emprego em Portugal: O imperativo da requalificação. Nova School of Business and Economics; Confederação Empresarial de Portugal (CIP). https://cip.org.pt/wp-content/uploads/2019/10/Relat%C3%B3rio-FoW_NSBE-CIP.pdf

Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting and Social Change, (114), 254–280. https://doi.org/10.1016/j.techfore.2016.08.019

Hainguerlot, M., Vergnaud, J.-C., & de Gardelle, V. (2018). Metacognitive ability predicts learning cue-stimulus associations in the absence of external feedback. Scientific Reports, 8, 5602. https://doi.org/10.1038/s41598-018-23936-9

Heidhues, P., Kőszegi, B., & Strack, P. (2018). Unrealistic expectations and misguided learning. Econometrica, 86(4), 1159–1214. https://doi.org/10.3982/ECTA14084

Hobsbawm, E. (2000). Da revolução industrial inglesa ao imperialismo (5a ed.). Forense Universitária.

Ivanov, S., Kuyumdzhiev, M., & Webster, C. (2020, April 18). Automation fears: drivers and solutions. [SocArXiv Papers]. https://doi.org/10.31235/osf.io/jze3u

Lima, Y., Strauch, J., Esteves, M. G., & Souza, J. M. de (2021). Exploring the future impact of automation in Brazil. Employee Relations, 43(15), 1052–1066. https://doi.org/10.1108/ER-08-2020-0364

Lima, Y., Strauch, J., Esteves, M. G., Souza, J. M. de, Chaves, M., & Gomes, D. (2019). O futuro do emprego no Brasil: estimando o impacto da automação. Laboratório do Futuro – UFRJ. http://labfuturo.cos.ufrj.br/wp-content/uploads/2019/08/O-impacto-da-automa%C3%A7%C3%A3o-no-Brasil.pdf

Manzato, A. J., & Santos, A. B. (2012). A elaboração de questionários na pesquisa quantitativa. [Material didático], Departamento de Ciência de Computação e Estatística, IBILCE, UNESP. http://www.inf.ufsc.br/~vera.carmo/Ensino_2012_1/ELABORACAO_QUESTIONARIOS_PESQUISA_QUANTITATIVA.pdf

Marray, K., Krishna, N., & Tang, J. (2020). How do expectations affect learning about fundamentals? Some experimental evidence. [SSRN Scholarly Paper ID 3542787], Social Science Research Network. https://doi.org/10.2139/ssrn.3542787

McClure, P. K. (2018). “You’re fired”, says the robot: the rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36(2), 139–156. https://doi.org/10.1177/0894439317698637

McKinsey Global Institute (MGI) (2017). A future that works: Automation, employment, and productivity. Edited by J. Manyika, M. Chui, M. Miremadi, J. Bughin et al. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Full-report.ashx

McKinsey Global Institute (MGI) (2020, September). What 800 executives envision for the pandemic workforce. https://www.mckinsey.com/featured-insights/future-of-work/what-800-executives-envision-for-the-postpandemic-workforce

Morais, C. (2005). Escalas de medida, estatística descritiva e inferência estatística. [ESE Working Papers], Escola Superior de Educação, Bragança, Portugal. https://bibliotecadigital.ipb.pt/handle/10198/7325

Morikawa, M. (2017). Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey. [GLO Discussion Paper, No. 71], Global Labour Organization, Maastricht. https://www.econstor.eu/bitstream/10419/158005/1/GLO_DP_0071.pdf

Oliveira, E. M. (2004). Transformações no mundo do trabalho, da revolução industrial aos nossos dias. Caminhos de Geografia, 5(11), 84–96. http://www.seer.ufu.br/index.php/caminhosdegeografia/article/view/15327

Wike, R., & Stokes, B. (2018, September). In advanced and emerging economies alike, worries about job automation. Pew Research Center. https://www.pewresearch.org/global/wp-content/uploads/sites/2/2018/09/Pew-Research-Center_In-Advanced-and-Emerging-Economies-Alike-Worries-about-Job-Automation_2018-09-13.pdf

World Economic Forum (WEF) (2020). Future of Jobs Report 2020. http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf

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Ce travail est disponible sous licence Creative Commons Attribution - Pas d’Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International.

(c) Tous droits réservés Alexandre Junqueira, Yuri Lima, Jano Moreira de Souza 2021

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