GIG ECONOMY E GESTÃO ALGORÍTMICA DE RECURSOS HUMANOS: forjando transparência, adequando comportamentos, ampliando o controle

Authors

DOI:

https://doi.org/10.13037/gr.vol41.e20258975

Keywords:

gig economy, gestão de recursos humanos, gestão algorítmica, algoritmos

Abstract

Algorithmic HRM is a characteristic aspect of the gig economy and platform work, but its transparency and its effects on workers' behavior are still little explored in the literature. From gig workers interviews (rideshare drivers), this article explored how algorithmic management influences working day, especially in relation to the dichotomy transparency vs. opacity. In so doing, we find three main influences of algorithms on HRM practices: work assignment, remuneration and performance management. We identified that workers have high distrust and uncertainty regarding these practices, which develop in a context of surveillance, punishment and reproduction of inequalities, injustices, and biases. The study expands the discussions on the effects of adopting algorithms for HRM, especially in a domain characterized by precarity and informality of labor relations.

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Author Biographies

  • Rodrigo Campos Rezende, , , Universidade de São Paulo - SÃO PAULO - SP- Brasil

    Bacharel em Administração (FEA-USP)

    Departamento de Administração da Faculdade de Economia, Administração, Contabilidade e Atuária
    Universidade de São Paulo
    Av. Prof. Luciano Gualberto 908, São Paulo, SP 05508-010, Brasil

    ORCID ID: https://orcid.org/0000-0002-2489-5422

  • Geraldo Tessarini Junior, , , Universidade de São Paulo - SÃO PAULO - SP- Brasil

    Doutor em Administração (FEA-USP)

    Mestre em Engenharia de Produção (UFSCar)

    Departamento de Administração da Faculdade de Economia, Administração, Contabilidade e Atuária
    Universidade de São Paulo
    Av. Prof. Luciano Gualberto 908, São Paulo, SP 05508-010, Brasil

    ORCID ID: https://orcid.org/0000-0002-4376-4487

  • Wilson Aparecido Costa de Amorim, , , Universidade de São Paulo - SÃO PAULO - SP- Brasil

    Doutor e Livre Docência em Administração (FEA-USP)

    Professor associado (FEA-USP)

    Departamento de Administração da Faculdade de Economia, Administração, Contabilidade e Atuária
    Universidade de São Paulo
    Av. Prof. Luciano Gualberto 908, Sala E-193, São Paulo, SP 05508-010, Brasil

    ORCID ID: https://orcid.org/0000-0002-0983-1447

References

Abílio, L. C. (2021). Uberização e Juventude Periférica: Desigualdades, autogerenciamento e novas formas de controle do trabalho. Novos estudos CEBRAP, 39, 579-597.

Amorim, H., & Moda, F. (2020). Work by app: algorithmic management and working conditions of Uber drivers in Brazil. Work Organisation, Labour & Globalisation, 14(1), 101-118.

Bardin, L. (2006). Análise de conteúdo. Lisboa: Edições 70.

Bucher, E. L., Schou, P. K., & Waldkirch, M. (2021). Pacifying the algorithm-Anticipatory compliance in the face of algorithmic management in the gig economy. Organization, 28(1), 44-67.

Burrell, J. (2016). How the machine 'thinks': Understanding opacity in machine learning algorithms. Big data & society, 3(1), 2053951715622512.

Cheng, M. M., & Hackett, R. D. (2021). A critical review of algorithms in HRM:

Definition, theory, and practice. Human Resource Management Review, 31(1).

Connelly, C. E., Fieseler, C., ÄŒerne, M., Giessner, S. R., & Wong, S. I. (2021). Working in the digitized economy: HRM theory & practice. Human Resource Management Review, 31(1), 100762.

Crayne, M. P., & Brawley Newlin, A. M. (2023). Driven to succeed, or to leave? The variable impact of self-leadership in rideshare gig work. The International Journal of Human Resource Management, 1-23.

Curchod, C., Patriotta, G., Cohen, L., & Neysen, N. (2020). Working for an algorithm: Power asymmetries and agency in online work settings. Administrative science quarterly, 65(3), 644-676.

De Stefano, V. (2016). The rise of the "just-in-time workforce": On-demand work, crowdwork and labour protection in the "gig-economy." Conditions of Work and Employment Series, 71.

Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2020). Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114-132

Franco, D. S., & Ferraz, D. L. da S. (2019). Uberização do trabalho e acumulação capitalista. Cadernos EBAPE.BR, 17(Edição especial), 844-856.

Gandini, A. (2019). Labour process theory and the gig economy. Human Relations, 72(6), 1039-1056

Instituto de Pesquisa Econômica Aplicada (2023). A proteção social dos trabalhadores da Gig Economy do setor de transporte no Brasil. Carta de Conjuntura (IPEA), 58(16), 1-8.

Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021). Algorithmic management in a work context. Big Data & Society, 8(2), 20539517211020332.

Queiroz, G. C., & Rodrigues, A. C. A. (2021). Há gestão de pessoas na economia Gig? Uma pesquisa sobre a perspectiva de motoristas de aplicativos. In Anais do XXIV Seminários em Administração da Universidade de São Paulo, São Paulo, SP

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366-410.

Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015, April). Working with machines: The impact of algorithmic and data-driven management on human workers. In Proceedings of the 33rd annual ACM conference on human factors in computing systems (pp. 1603-1612).

Mateescu, A. and Nguyen, A. (2019) Explainer: Algorithmic Management in the Workplace. New York, NY: Data & Society Research Institute. Disponível em: https://datasociety.net/wp-content/uploads/2019/02/DS_Algorithmic_Management_Explainer.pdf. Acesso em 27 jan. 2023.

Meijerink, J., Boons, M., Keegan, A. and Marler, J. (2021). Algorithmic human resource

management: Synthesizing developments and cross-disciplinary insights on digital HRM. International Journal of Human Resource Management, 32(12), 2545-2562.

Meijerink, J., & Bondarouk, T. (2023). The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation. Human Resource Management Review, 33(1), 100876.

Rodgers, W., Murray, J. M., Stefanidis, A., Degbey, W. Y., & Tarba, S. Y. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes. Human Resource Management Review, 33(1), 100925.

Rosenblat, A. (2018). Uberland: How algorithms are rewriting the rules of work. University of California Press.

Rosenblat, A., Levy, K. E., Barocas, S., & Hwang, T. (2016). Discriminating tastes: Customer ratings as vehicles for bias. Data & Society, 1-21.

Rosenblat, A., & Stark, L. (2016). Algorithmic labor and information asymmetries: A case study of Uber's drivers. International journal of communication, 10, 27.

Silva, S., & Kenney, M. (2019). Algorithms, platforms, and ethnic bias. Communications of the ACM, 62(11), 37-39.

Uber. Fatos e dados sobre a Uber. Disponível em: https://www.uber.com/pt-BR/newsroom/fatos-e-dados-sobre-uber/. Acesso em 24 jan. 2022.

Vaclavik, M. C., & Oltramari, A. P. (2022). Empresariando a informalidade: um debate teórico à luz da gig economy. Cadernos EBAPE.BR, 20(2), 247-258.

Valente, E., Patrus, R., Guimarães, R. C. (2019). Sharing economy: becoming an Uber driver in a developing country. Revista de Gestão, 26(2), 143-16

Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019). Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy. Work, Employment and Society, 33(1), 56-75.

Woodcock, J., Graham, M. The gig economy: A critical introduction. Cambridge: Polity Press, 2020.

Woodcock, J., & Johnson, M. R. (2018). Gamification: What it is, and how to fight it. The Sociological Review, 66(3), 542-558.

Walker, M., Fleming, P., & Berti, M. (2021). 'You can't pick up a phone and talk to someone': How algorithms function as biopower in the gig economy. Organization, 28(1), 26-43.

Wu, X., Liu, Q., Qu, H., & Wang, J. (2023). The effect of algorithmic management and workers' coping behavior: An exploratory qualitative research of Chinese food-delivery platform. Tourism Management, 96, 104716.

Published

2025-10-29

How to Cite

GIG ECONOMY E GESTÃO ALGORÍTMICA DE RECURSOS HUMANOS: forjando transparência, adequando comportamentos, ampliando o controle. (2025). Gestão & Regionalidade, 41, e20258975. https://doi.org/10.13037/gr.vol41.e20258975