How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Revista Brasileira de Gestão de Negócios (Online) |
Texto Completo: | https://rbgn.fecap.br/RBGN/article/view/4169 |
Resumo: | Purpose – In the context of growing interest in the use of data to create mathematical models that can predict future behaviors and assist in business decision making, this theoretical-empirical article aims to understand how realities are enacted through data, from the identification and description of the practices and knowledge of two professional groups that work with data.Theoretical framework – Actor-Network Theory and Theory of Practice.Design/methodology/approach – The research was developed under the methodological guidance of the Actor Network Theory, from November 2017 to September 2018, including interviews and observations of daily work.Findings – Results suggest that the realities portrayed in the predictive models are constituted from arrangements of human and non-human, situational and emerging elements, contemplating data, technological potentialities and constraints and political choices that permeate these configurations.Research, Practical & Social implications – The research demonstrates that knowledge and predictive models generated from data cannot be understood without taking into account their contexts of origin, which makes it possible to question their supposed neutrality and objectivity. Considering these compositions, these models can lead to process optimization, but also to unexpected effects, such as errors in scenario projection.Originality/value – The research contributes by making visible the configurations of human and non-human, situational and emergent elements, through which organizations and realities are enacted, based on data practices.Keywords - Professionals who work with data; predictive models; enacted realities; Actor-Network Theory; Theory of Practice. |
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How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theoryComo Realidades são Enactadas por Meio de Dados? Análise das Práticas e Saberes dos Profissionais que Trabalham com Dados à Luz da Teoria Ator-RedePurpose – In the context of growing interest in the use of data to create mathematical models that can predict future behaviors and assist in business decision making, this theoretical-empirical article aims to understand how realities are enacted through data, from the identification and description of the practices and knowledge of two professional groups that work with data.Theoretical framework – Actor-Network Theory and Theory of Practice.Design/methodology/approach – The research was developed under the methodological guidance of the Actor Network Theory, from November 2017 to September 2018, including interviews and observations of daily work.Findings – Results suggest that the realities portrayed in the predictive models are constituted from arrangements of human and non-human, situational and emerging elements, contemplating data, technological potentialities and constraints and political choices that permeate these configurations.Research, Practical & Social implications – The research demonstrates that knowledge and predictive models generated from data cannot be understood without taking into account their contexts of origin, which makes it possible to question their supposed neutrality and objectivity. Considering these compositions, these models can lead to process optimization, but also to unexpected effects, such as errors in scenario projection.Originality/value – The research contributes by making visible the configurations of human and non-human, situational and emergent elements, through which organizations and realities are enacted, based on data practices.Keywords - Professionals who work with data; predictive models; enacted realities; Actor-Network Theory; Theory of Practice.Objetivo – No contexto de crescente interesse no uso de dados para criar modelos matemáticos que possam predizer comportamentos futuros e auxiliar nas tomadas de decisões de negócios, o presente artigo teórico-empírico tem por objetivo compreender de que forma realidades são enactadas por meio de dados, a partir da identificação e descrição das práticas e saberes de dois coletivos profissionais que trabalham com dados.Referencial teórico – Teoria Ator-Rede e Teoria da Prática.Metodologia – A pesquisa foi desenvolvida sob orientação metodológica da TeoriaAtor-Rede, de novembro de 2017 a setembro de 2018, contemplando entrevistas e observações do cotidiano de trabalho.Resultados – Resultados sugerem que as realidades retratadas nos modelos preditivos são constituídas a partir de arranjos de elementos humanos e não humanos, situacionais e emergentes, contemplando dados, potencialidades e constrangimentos tecnológicos e escolhas políticas que permeiam essas configurações.Implicações práticas e sociais da pesquisa – A pesquisa demonstra queconhecimentos e modelos preditivos gerados a partir de dados não podem sercompreendidos sem levar em consideração seus contextos de origem, o quepermite problematizar sua suposta neutralidade e objetividade. Considerandoessas composições, esses modelos podem levar à otimização de processos, mastambém a efeitos inesperados, como erros na projeção de cenários.Contribuições – A pesquisa contribui ao tornar visíveis as configurações deelementos humanos e não humanos, situacionais e emergentes, por meio das quais são enactadas organizações e realidades, a partir de práticas de dados.Palavras-chave – Profissionais que trabalham com dados, modelos preditivos,realidades enactadas, Teoria Ator-Rede, Teoria da Prática.FECAP2022-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfapplication/pdfhttps://rbgn.fecap.br/RBGN/article/view/4169Review of Business Management; Vol. 24 No. 2 (2022)RBGN Revista Brasileira de Gestão de Negócios; Vol. 24 Núm. 2 (2022)RBGN - Revista Brasileira de Gestão de Negócios; v. 24 n. 2 (2022)1983-08071806-4892reponame:Revista Brasileira de Gestão de Negócios (Online)instname:Fundação Escola de Comércio Álvares Penteado (FECAP)instacron:FECAPengporhttps://rbgn.fecap.br/RBGN/article/view/4169/1821https://rbgn.fecap.br/RBGN/article/view/4169/1822Prá, RaquelSimone Antonello, Claudiainfo:eu-repo/semantics/openAccess2023-07-28T18:21:13Zoai:ojs.emnuvens.com.br:article/4169Revistahttp://rbgn.fecap.br/RBGN/indexhttps://rbgn.fecap.br/RBGN/oai||jmauricio@fecap.br1983-08071806-4892opendoar:2023-07-28T18:21:13Revista Brasileira de Gestão de Negócios (Online) - Fundação Escola de Comércio Álvares Penteado (FECAP)false |
dc.title.none.fl_str_mv |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory Como Realidades são Enactadas por Meio de Dados? Análise das Práticas e Saberes dos Profissionais que Trabalham com Dados à Luz da Teoria Ator-Rede |
title |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
spellingShingle |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory Prá, Raquel |
title_short |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
title_full |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
title_fullStr |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
title_full_unstemmed |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
title_sort |
How are realities enacted through data? Analysis of practices and knowledge of professionals who work with data in the light of actor-network theory |
author |
Prá, Raquel |
author_facet |
Prá, Raquel Simone Antonello, Claudia |
author_role |
author |
author2 |
Simone Antonello, Claudia |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Prá, Raquel Simone Antonello, Claudia |
description |
Purpose – In the context of growing interest in the use of data to create mathematical models that can predict future behaviors and assist in business decision making, this theoretical-empirical article aims to understand how realities are enacted through data, from the identification and description of the practices and knowledge of two professional groups that work with data.Theoretical framework – Actor-Network Theory and Theory of Practice.Design/methodology/approach – The research was developed under the methodological guidance of the Actor Network Theory, from November 2017 to September 2018, including interviews and observations of daily work.Findings – Results suggest that the realities portrayed in the predictive models are constituted from arrangements of human and non-human, situational and emerging elements, contemplating data, technological potentialities and constraints and political choices that permeate these configurations.Research, Practical & Social implications – The research demonstrates that knowledge and predictive models generated from data cannot be understood without taking into account their contexts of origin, which makes it possible to question their supposed neutrality and objectivity. Considering these compositions, these models can lead to process optimization, but also to unexpected effects, such as errors in scenario projection.Originality/value – The research contributes by making visible the configurations of human and non-human, situational and emergent elements, through which organizations and realities are enacted, based on data practices.Keywords - Professionals who work with data; predictive models; enacted realities; Actor-Network Theory; Theory of Practice. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbgn.fecap.br/RBGN/article/view/4169 |
url |
https://rbgn.fecap.br/RBGN/article/view/4169 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://rbgn.fecap.br/RBGN/article/view/4169/1821 https://rbgn.fecap.br/RBGN/article/view/4169/1822 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
FECAP |
publisher.none.fl_str_mv |
FECAP |
dc.source.none.fl_str_mv |
Review of Business Management; Vol. 24 No. 2 (2022) RBGN Revista Brasileira de Gestão de Negócios; Vol. 24 Núm. 2 (2022) RBGN - Revista Brasileira de Gestão de Negócios; v. 24 n. 2 (2022) 1983-0807 1806-4892 reponame:Revista Brasileira de Gestão de Negócios (Online) instname:Fundação Escola de Comércio Álvares Penteado (FECAP) instacron:FECAP |
instname_str |
Fundação Escola de Comércio Álvares Penteado (FECAP) |
instacron_str |
FECAP |
institution |
FECAP |
reponame_str |
Revista Brasileira de Gestão de Negócios (Online) |
collection |
Revista Brasileira de Gestão de Negócios (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Gestão de Negócios (Online) - Fundação Escola de Comércio Álvares Penteado (FECAP) |
repository.mail.fl_str_mv |
||jmauricio@fecap.br |
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1798942370922758144 |