Algocracia: Uma análise crítica sobre a gestão mediada por algoritmos
DOI:
https://doi.org/10.19094/contextus.2021.67949Palavras-chave:
algocracia, gestão, algoritmos, tecnologia, trabalhoResumo
O objetivo desse artigo teórico é apresentar a temática da algocracia e seus contornos sob uma lente crítica, especialmente no que tange a utilização dos algoritmos pelas organizações, especialmente na mediação da gestão do trabalho. Esse sistema é pautado na busca por eficiência, e legitimado pelas novas tecnologias de informação e comunicação, afetando relações de trabalho e estruturas organizacionais, seus aspectos culturais, econômicos, sociais e políticos. Para tanto, observamos esse modelo de gestão por algoritmos pela lente dos estudos críticos de gestão. Argumentamos que o contexto neoliberal camufla as disparidades entre organizações e trabalhadores, ao legitimar a ideologia da flexibilidade, e usando os algoritmos para capturar dados, processá-los e, em seguida, decidir sobre as atividades e avaliações dos trabalhadores.
Referências
Abilio, L. C. (2020a). Plataformas digitais e uberização: A globalização de um Sul administrado? Revista Contracampo, 39(1). https://doi.org/10.22409/contracampo.v39i1.38579
Abilio, L. C. (2020b). Uberização: Gerenciamento e controle do trabalhador just-in-time. Estudos Avançados, 34(98). https://doi.org/10.1590/s0103-4014.2020.3498.008
Abilio, L. C. (2021). Uberização e juventude periférica: Desigualdades, autogerenciamento e novas formas de controle do trabalho. Novos estudos CEBRAP, 39(3), 579-597. https://doi.org/10.25091/s01013300202000030008
Adler, P. (1986). New technologies, new skills. California Management Review, 29(1). https://doi.org/10.2307/41165224
Adler, P. S. (1992). Technology and the future of work. Oxônia: Oxford University Press. https://doi.org/10.1002/hfm.4530050209
Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical management studies. Academy of Management Annals, 1(1), 119-179. https://doi.org/10.1080/078559808
Alvesson, M., & Deetz, S. (1999). Teoria crítica e abordagens pós-modernas para estudos organizacionais. In S. R. Clegg, C. Hardy, W. R. Nord, M. Caldas, R. Fachin, & T. Fischer. Handbook de estudos organizacionais: Modelos de análise e novas questões em estudos organizacionais. São Paulo: Atlas.
Alvesson, M., & Willmott, H. (2003). Studying management critically. London: Sage Publications.
André, R. G., Silva, R. O., & Nascimento, R. P. (2019). “Precário não é, mas eu acho que é escravo”: Análise do trabalho dos motoristas da Uber sob o enfoque da precarização. Revista Eletrônica de Ciência Administrativa, 18(1), 7-34. https://doi.org/10.21529/recadm.2019001
Aneesh, A. (2009). Global labor: Algocratic modes of organization. Sociological Theory, 27(4). https://doi.org/10.1111/j.1467-9558.2009.01352.x
Anteby, M., & Chan, C. K. (2018). A self-fulfilling cycle of coercive surveillance: Workers' invisibility practices and managerial justification. Organization Science, 29(2), 247-263. https://doi.org/10.1287/orsc.2017.1175
Antonio, M., & Caetano, L. (2006). Lógica fuzzi para tomada de decisão em negócios e finanças. Revista de Economia e Administração, 5(1), 12-39. https://doi.org/10.11132/rea.2002.110
Araújo, R. F., & Silva, J. F., Junior. (2020). Blackfishing e a transformação transracial monetizada. In T. Silva (Org.). Comunidades, algoritmos e ativismos digitais: Olhares afrodiaspóricos. Editora Literarua.
Bader, V., & Kaiser, S. (2019). Algorithmic decision-making? The user interface and its role for human involvement in decisions supported by artificial intelligence. Organization, 26(5), 655-672. https://doi.org/10.1177/1350508419855714
Beer, D. (2009). Power through the algorithm? Participatory web cultures and the technological unconscious. New Media and Society, 11(6), 985-1002. https://doi.org/10.1177/1461444809336551
Belli, L., & Venturini, J. (2019). Private ordering and the rise of terms of service as cyber-regulation. Internet Policy Review, 5(4), 1-17. https://doi.org/10.14763/2016.4.441
Beverungen, A., Beyes, T., & Conrad, L. (2019). The organizational powers of (digital) media. Organization, 26(5), 621-635. https://doi.org/10.1177/1350508419867206
Birch, K. (2020). Automated neoliberalism? The digital organisation of markets in technoscientific capitalism. New Formations, 100(100), 10-27. https://doi.org/10.3898/newf:100-101.02.2020
Bourne, C. (2019). AI cheerleaders: Public relations, neoliberalism and artificial intelligence. Public Relations Inquiry, 8(2), 109-125. https://doi.org/10.1177/2046147X19835250
Brevini, B., & Pasquale, F. (2020). Revisiting the Black Box Society by rethinking the political economy of big data. Big Data and Society, 7(2), 1-4. https://doi.org/10.1177/2053951720935146
Bruno, F., Cardoso, B., Kanashiro, M., Guilhon, L., & Melgaço, L. (2018). Tecnopolíticas de vigilância: Perspectivas da margem. São Paulo: Boitempo.
Bucher, E. L., Schou, P. K., & Waldkirch, M. (2020). Pacifying the algorithm – Anticipatory compliance in the face of algorithmic management in the gig economy. Organization. 28(1), 44-67 https://doi.org/10.1177/1350508420961531
Bucher, E., Schou, P., & Waldkirch, M. (2020). Pacifying the algorithm – Anticipatory compliance in the face of algorithmic management in the gig economy. Organization, 28(1), 44-67. https://doi.org/10.1177/1350508420961531
Casilli, A. (2017). Global digital culture| Digital labor studies go global: Toward a digital decolonial turn. International Journal of Communication, 11(2017), 3934-3954. https://ijoc.org/index.php/ijoc/article/view/6349
Chandler, D., & Fuchs, C. (2019). Digital objects, digital subjects: interdisciplinary perspectives on capitalism, labour and politics in the age of Big Data. London: University of Westminster Press.
Chen, Y. (2005). Graph encoding and recursion computation. In M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology, (pp. 1309-1316). Deerfield Beach: Idea Group.
Clegg, S., Kornberger & M., Pitsis, T. (2008). Managing and organizations: An introduction to theory and practice. London: SAGE Publications
Collins, C., Ocampo, O., & Paslaski, S. (2020). Billionaire Bonanza 2020. Institute for Policy Studies. https://ips-dc.org/billionaire-bonanza-2020/
Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020). The strategic impacts of intelligent automation for knowledge and service work: An interdisciplinary review. The Journal of Strategic Information Systems, 29(4), 1-30. https://doi.org/10.1016/j.jsis.2020.101600
Couldry, N., & Mejias, U. (2019a). Making data colonialism liveable: How might data's social order be regulated? Internet Policy Review, 8(2). https://doi.org/10.14763/2019.2.1411
Couldry, N., & Mejias, U. A. (2019b). Data colonialism: Rethinking big data's relation to the contemporary subject. Television and New Media, 20(4), 336-349. https://doi.org/10.1177/1527476418796632
Couldry, N., & Mejias, U. A. (2019c). The costs of connection: How data is colonizing human life and appropriating it for capitalism. California: Stanford University Press.
Couldry, N., & Yu, J. (2018). Deconstructing datafication's brave new world. New Media and Society, 20(12), 4473-4491. https://doi.org/10.1177/1461444818775968
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. https://doi.org/10.1177/0001839219867024
Danaher, J. (2016). The threat of algocracy: Reality, resistance and accommodation. Philosophy and Technology, 29(3), 245-268. https://doi.org/10.1007/s13347-015-0211-1
Dardot, P., & Laval, C. (2016). A nova razão do mundo: Ensaio sobre a sociedade neoliberal. São Paulo: Boitempo.
Davel, E., & Alcadipani, R. (2003). Estudos críticos em administração: A produção científica brasileira nos anos 1990. Revista de Administração de Empresas, 43(4), 72-85. https://doi.org/10.1590/S0034-75902003000400006
Elias, A. S., & Gill, R. (2018). Beauty surveillance: The digital self-monitoring cultures of neoliberalism. European Journal of Cultural Studies, 21(1), 59-77. https://doi.org/10.1177/1367549417705604
Elmholdt, K. T., Elmholdt, C., & Haahr, L. (2020). Counting sleep: Ambiguity, aspirational control and the politics of digital self-tracking at work. Organization, 28(1), 164-185. https://doi.org/10.1177/1350508420970475
Estellés-Arolas, E., & González-Ladrón-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38(2), 189-200. https://doi.org/10.1177/0165551512437638
Etter, M., & Albu, O. B. (2020). Activists in the dark: Social media algorithms and collective action in two social movement organizations. Organization, 28(1), 68-91. https://doi.org/10.1177/1350508420961532
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62-70. https://doi.org/10.1016/j.infoandorg.2018.02.005
Faria, A. (2015). Rethinking marketing orientation A critical perspective from an emerging economy. In A. Prasad, P. Prasad, A. J. Mills, & J. H. Mills (Eds.), The Routledge companion to critical management studies (pp. 217–235). New York: Routledge.
Faria, J. H. (2009). Teoria crítica em estudos organizacionais: O estado da arte. Cadernos EBAPE.BR, 7(3), 509-515. https://doi.org/10.1590/S1679-39512009000300009
Fernandes, A. M. R., & Raduenz, J. C. (2020). Um levantamento sobre o uso de algoritmos de aprendizado de máquina em auditorias de planos de saúde. Revista de Gestão Em Sistemas de Saúde, 9(1), 119-131. https://doi.org/10.5585/rgss.v9i1.15296
Fernàndez, A., & Barreiro, M. S. (2020). The algorithm is not my boss anymore: Technological appropriation and (new) media strategies in Riders x Derechos and Mensakas. Revista Contracampo, 39(1), 65-83. https://doi.org/10.22409/contracampo.v39i1.38404
Filgueiras, V., & Antunes, R. (2020a). Plataformas digitais, uberização do trabalho e regulação no capitalismo contemporâneo. Contracampo, 39(1), 27-43. https://doi.org/10.22409/contracampo.v39i1.38901
Fleming, P. (2019). Robots and organization studies: Why robots might not want to steal your job. Organization Studies, 40(1), 23-38. https://doi.org/10.1177/0170840618765568
Franco, D. S., & Ferraz, D. L. D. S. (2019). Uberização do trabalho e acumulação capitalista. Cadernos EBAPE.BR, 17(spe.), 844-856. https://doi.org/10.1590/1679-395176936
Fuchs, C. (2014). Social media: A critical introduction. Thousand Oaks: Sage Publications.
Gillespie, T. (2014). Media technologies: Essays on communication, materiality, and society. Cambrige: The MIT Press.
Grohmann, R., & Qiu, J. (2020). Contextualizando o trabalho em plataformas. Contracampo, 39(1), 1-10. https://doi.org/10.22409/contracampo.v39i1.42260
Guimarães Pinho, A. (2009). Análise RFV do cliente por algoritmos genéticos na otimização de estratégias de Marketing. Revista Pensamento Contemporâneo em Administração, 3(2), 86-98. https://doi.org/10.12712/rpca.v3i2.90
Gunaratne, J., Zalmanson, L., & Nov, O. (2018). The persuasive power of algorithmic and crowdsourced advice. Journal of Management Information Systems, 35(4), 1092-1120. https://doi.org/10.1080/07421222.2018.1523534
Hensmans, M. (2020). How digital fantasy work induces organizational ideal reversal? Long-term conditioning and enactment of digital transformation fantasies at a large alternative bank (1963–2019). Organization, 26(1), 132-163. https://doi.org/10.1177/1350508420968185
Insardi, A., & Lorenzo, R. O. (2019). Measuring accessibility: A big data perspective on uber service waiting times. Revista de Administracao de Empresas, 59(6), 402-414. https://doi.org/10.1590/S0034-759020190606
Jaspal, R., Lopes, B., & Lopes, P. (2020). Predicting social distancing and compulsive buying behaviours in response to COVID-19 in a United Kingdom sample. Cogent Psychology, 7(1), 1-15. https://doi.org/10.1080/23311908.2020.1800924
Kalil, M. O., & Lopes, S. P. M. (2018). O compartilhamento de informação na construção de uma economia colaborativa e geração de modelos de negócios inovadores. Perspectivas em Gestão & Conhecimento, 8(3). https://doi.org/10.21714/2236-417X2018v8n3
Kärreman, D., & Alvesson, M. (2004). Cages in Tandem: Management control, social identity, and identification in a knowledge-intensive firm. Organization, 11(1), 149-175. https://doi.org/10.1177/1350508404039662
Katz, Y. (2020). Artificial whiteness: Politics and ideology in artificial intelligence. New York: Columbia University Press.
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management, 14(1). https://doi.org/10.5465/annals.2018.0174
Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B. & Abbott, M. W. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 100. https://doi.org/10.1016/j.comppsych.2020.152180
Kitchin, R., & Dodge, M. (2014). Code/space: Software and everyday life. Chicago: MIT Press.
Kleemann, F., Voß, G. G., & Rieder, K. (2008). Un(der)paid innovators: The commercial utilization of consumer work through crowdsourcing. Science, Technology & Innovation Studies, 4(1), 5-26. https://doi.org/10.17877/DE290R-12790
Kuhn, K. M., & Maleki, A. (2017). Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Academy of Management Perspectives, 31(3), 183-200. https://doi.org/10.5465/amp.2015.0111
Lage, M. & Rodrigues, A. (2020) Pandelivery: reflections on Black delivery app workers experiences during COVID-19 in Brazil. Gender, Work & Organization, 28(2), 434-445. https://doi.org/10.1111/gwao.12604
Langley, P., & Leyshon. (2016). Platform capitalism: The intermediation and capitalisation of digital economic circulation. Finance and Society, 3(1), 1-21. https://doi.org/10.2218/finsoc.v3i1.1936
Lorenz, L., Meijer, A., & Schuppan, T. (2020). The algocracy as a new ideal type for government organizations: Predictive policing in Berlin as an empirical case. Information Polity, 26(1), 71-86. https://doi.org/10.3233/ip-200279
Marjanovic, S., Fry, C., & Chataway, J. (2012). Crowdsourcing based business models: In search of evidence for innovation 2.0. Science and Public Policy, 39(3), 318-332. https://doi.org/10.1093/scipol/scs009
Mejias, U. A., & Couldry, N. (2019a). Datafication. Internet Policy Review, 8(4), 1-10. https://doi.org/10.14763/2019.4.1428
Mejias, U. A., & Couldry, N. (2019b). Consumption as production: Data and the reproduction of capitalist relations. The Oxford Handbook of Consumption. https://doi.org/10.1093/oxfordhb/9780190695583.013.14
Mercea, D., & Yilmaz, K. E. (2018). Movement social learning on Twitter: The case of the People's assembly. The Sociological Review, 66(1), 20-40. https://doi.org/10.1177/0038026117710536
Morozov, E. (2018). Big Tech: A ascensão dos dados e a morte da política. São Paulo: Ubu Editora.
Nakatsu, R. T., Grossmann, E. B., & Lacovou, V. L. (2014). A taxonomy of crowdsourcing based on task complexity. Journal of Information Science, 40(6), 823-834. https://doi.org/10.1177/0165551514550140
Newlands, G. (2020). Algorithmic surveillance in the gig economy: The organization of work through Lefebvrian Conceived Space. Organization Studies, 42(5), 719-737 https://doi.org/10.1177/0170840620937900
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York: New York University Press.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. New York: Broadway Books.
Oliveira Abensur, E. (2007). Genetic algorithms for development of new financial products. Revista Brasileira de Finanças, 5(1), 59-77. https://www.redalyc.org/pdf/3058/305824757004.pdf
Pasquale, F. (2015). The Black Box Society: The secret algorithms that control money and information. Cambridge, Massachusetts, London, England: Harvard Universisty Press.
Petriglieri, G., Ashford, S. J., & Wrzesniewski, A. (2019). Agony and ecstasy in the gig economy: Cultivating holding environments for precarious and personalized work identities. Administrative Science Quarterly, 64(1), 124-170. https://doi.org/10.1177/0001839218759646
Prasad, A., & Mills, A. J. (2010). Critical management studies and business ethics: A synthesis and three research trajectories for the coming decade. Journal of Business Ethics, 94, 227-237. https://doi.org/10.1007/s10551-011-0753-9
Rosenblat, A. (2018). Uberland: How algorithms are rewriting the rules of work. Oakland: University of California Press.
Rosenblat, A., & Stark, L. (2016). Algorithmic labor and information asymmetries: A case study of Uber's drivers. International Journal of Communication, 10(27), 3758-3784. https://doi.org/10.2139/ssrn.2686227
Roshani, N. (2020). Discurso de ódio e ativismo digital antirracismo de jovens afrodescendentes no Brasil e Colômbia. In T. Silva (Org.). Comunidades, algoritmos e ativismos digitais: Olhares afrodiaspóricos. Editora Literarua.
Sadowski, J. (2019). When data is capital: Datafication, accumulation, and extraction. Big Data and Society, 6(1), 1-12. https://doi.org/10.1177/2053951718820549
Schenk, E., & Guittard, C. (2009). Crowdsourcing : What can be outsourced to the crowd, and why ? Research Gate. https://www.researchgate.net/publication/40270166_Crowdsourcing_What_can_be_Outsourced_to_the_Crowd_and_Why
Schenk, E., & Guittard, C. (2011). Towards a characterization of crowdsourcing practices. Journal of Innovation Economics, 7(1), 93-107. https://doi.org/10.3917/jie.007.0093
Schneider, D., & Harknett, K. (2019). What's to like? Facebook as a tool for survey data collection. Sociological Methods and Research. https://doi.org/10.1177/0049124119882477
Senett, R. (2006). A cultura do novo capitalism. Rio de Janeiro: Record.
Serra, F. R., & Ferreira, M. P. (2017). Uma contribuição teórica para a Revista Ibero-Americana de Estratégia. Revista Ibero-Americana de Estratégia, 16(4), 1-5. https://doi.org/10.5585/riae.v16i4.2604
Serrano, P. H. S. M., & Baldanza, R. F. (2017). Tecnologias disruptivas: o caso do Uber. Revista Pensamento Contemporâneo em Administração, 11(5), 37-48. https://doi.org/10.12712/rpca.v11i5.1078
Silva, T., & Birhane, A. (2020). Comunidades, algoritmos e ativismos digitais: Olhares afrodiaspóricos. São Paulo: LiteraRua.
Sivula, A., & Kantola, J. (2015). Ontology focused crowdsourcing management. Procedia Manufacturing, 3, 632-638. https://doi.org/10.1016/j.promfg.2015.07.286
Srniceck, N. (2016). Platform capitalism. Cambridge: Polity Press.
Srniceck, N. (2017). The challenges of platform capitalism: Understanding the logic of a new business model. Juncture, 23(4), 254-257. https://doi.org/10.1111/newe.12023
Stewart, A., & Stanford, J. (2017). Regulating work in the gig economy: What are the options? The Economic and Labour Relations Review, 28(3), 420-437. https://doi.org/10.1177/1035304617722461
Trittin-Ulbrich, H., Scherer, A. G., Munro, I., & Whelan, G. (2020). Exploring the dark and unexpected sides of digitalization: Toward a critical agenda. Organization, 28(1), 8-25 https://doi.org/10.1177/1350508420968184
Tufekci, Z. (2015). Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency. Colorado Technology Law Journal, 13(2), 203-218. https://ctlj.colorado.edu/wp-content/uploads/2015/08/Tufekci-final.pdf
Vaast, E. (2020). A seat at the table and a room of their own: Interconnected processes of social media use at the intersection of gender and occupation. Organization Studies, 41(12), 1673-1695. https://doi.org/10.1177/0170840619894923
Valente, E., Patrus, R., & Córdova Guimarães, R. (2019). Sharing economy: Becoming an Uber driver in a developing country. Revista de Gestão, 26(2), 143-160. https://doi.org/10.1108/REGE-08-2018-0088
Van den Broek, E.; Sergeeva, A.; Huysman, M. (2019). Hiring algorithms: An ethnography of fairness in practice. ICIS 2019 Proceedings. https://aisel.aisnet.org/icis2019/future_of_work/future_work/6.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118-144. https://doi.org/10.1016/j.jsis.2019.01.003
Vianna, F. R. P. M., & Meneghetti, F. K. (2020). Is it crowdsourcing or crowdsensing? An analysis of human participation in digital platforms in the age of surveillance capitalism. Revista Eletrônica de Administração, 26(1), 176-209. https://doi.org/10.1590/1413-2311.280.96476
Vianna, F. R. P. M., Moura, E. T. S. S., & Calderari, E. B. (2018). Crowdsourcing e uberização: Um estudo de caso sobre a Startup Docway. Revista Eletrônica de Sistemas de Informação, 17(2). https://doi.org/10.21529/resi.2018.1702003
Vieira, K. C., Paiva, A. L., Alcântara, V. C., & Rezende, D. C. (2020). Opening black boxes of disruptive innovations: Controversies involving Uber in Belo Horizonte. Revista de Administração Mackenzie, 21(3). https://doi.org/10.1590/1678-6971/ERAMR200018
Weber, M. (2004). A ética protestante e o espírito do capitalismo. São Paulo: Companhia das Letras.
West, S. M. (2019). Data capitalism: Redefining the logics of surveillance and privacy. Business and Society, 58(1), 20-41. https://doi.org/10.1177/0007650317718185
Whetten, D. A. (2003). O que constitui uma contribuição teórica?. Revista de Administração de Empresas, 43(3), 69-73. https://rae.fgv.br/sites/rae.fgv.br/files/artigos/10.1590_S0034-75902003000300006.pdf
Woodcock, J. (2020) The algorithmic panopticon at Deliveroo: Measurement, precarity, and the illusion of control. Ephemera Journal, 22(3), 67-95. http://www.ephemerajournal.org/contribution/algorithmic-panopticon-deliveroo-measurement-precarity-and-illusion-control-0
Zhang, Y. J. (2005). Advanced techniques for object-based image retrieval. In M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology (pp. 68-73). Idea Group.
Zhao, Y., & Zhu, Q. (2014). Evaluation on crowdsourcing research: Current status and future direction. Information Systems Frontiers, 16, 417-434. https://doi.org/10.1007/s10796-012-9350-4
Zuboff, S. (1989). In the age of the smart machine: The future of work and power. Basic Books.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Great Britain: Public Affairs.
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