Artificial intelligence adoption in public organizations: a case study
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Future Studies Research Journal: Trends and Strategies |
Texto Completo: | https://www.revistafuture.org/FSRJ/article/view/860 |
Resumo: | Purpose: The study explores the key factors influencing AI adoption by public organizations, and sought to understand the dynamics of AI adoption, aiming to identify the potential challenges of integrating AI with ESG considerations. Originality/value: This research addresses the gap in understanding AI adoption in the public sector at the firm level, emphasizing the challenges and risks of technology integration. The study discuss how AI can be used effectively, contributing to societal appropriation of technological progress. Methods: Methodology employs a multi-stage analysis of literature, followed by ten interviews and a case study on Brazil's Federal Revenue Service. Empirical data was probed through rigorous coding and thematic analysis, selecting the most impactful factors influencing AI adoption. Results: The conclusions highlight the role of AI in elevating public services performance and reach. However, the deployment of AI calls for vigilant oversight to mitigate adverse effects and inequalities and demands a multidisciplinary strategy addressing an interplay of challenges. Conclusion: The study provides a framework for effective AI adoption, offering insights for decision-makers on strategizing AI adoption, emphasizing the importance of factoring ESG concerns into de decision to adopt this technology. |
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Future Studies Research Journal: Trends and Strategies |
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Artificial intelligence adoption in public organizations: a case studyAdoção de inteligência artificial em organizações públicas: um estudo de casoArtificial IntelligencePublic sectorInnovationTechnology adoptionInteligência artificialSetor públicoLiderança estratégicaInovaçãoAdoção de tecnologiaPurpose: The study explores the key factors influencing AI adoption by public organizations, and sought to understand the dynamics of AI adoption, aiming to identify the potential challenges of integrating AI with ESG considerations. Originality/value: This research addresses the gap in understanding AI adoption in the public sector at the firm level, emphasizing the challenges and risks of technology integration. The study discuss how AI can be used effectively, contributing to societal appropriation of technological progress. Methods: Methodology employs a multi-stage analysis of literature, followed by ten interviews and a case study on Brazil's Federal Revenue Service. Empirical data was probed through rigorous coding and thematic analysis, selecting the most impactful factors influencing AI adoption. Results: The conclusions highlight the role of AI in elevating public services performance and reach. However, the deployment of AI calls for vigilant oversight to mitigate adverse effects and inequalities and demands a multidisciplinary strategy addressing an interplay of challenges. Conclusion: The study provides a framework for effective AI adoption, offering insights for decision-makers on strategizing AI adoption, emphasizing the importance of factoring ESG concerns into de decision to adopt this technology.Objetivo: O estudo explora os principais fatores que influenciam a adoção da IA por organizações públicas e discute a dinâmica da adoção da IA, com o objetivo de identificar os potenciais desafios da integração da IA com considerações ESG. Originalidade/valor: O estudo aborda a lacuna na compreensão da adoção da IA no setor público no nível da firma, enfatizando os desafios e riscos da integração dessa tecnologia. O estudo contribui sensivelmente para a apropriação social do progresso tecnológico. Métodos: A metodologia selecionada emprega a análise da literatura em múltiplas etapas, seguida de dez entrevistas e um estudo de caso na Receita Federal do Brasil. Os dados empíricos foram analisados por meio de codificação rigorosa, selecionando os fatores mais impactantes que influenciam a adoção da IA. Resultados: As conclusões destacam o papel da IA no aumento do desempenho e do alcance dos serviços públicos. No entanto, clama para que a adoção de IA tenha supervisão vigilante, para mitigar os efeitos adversos e as desigualdades potenciais. Conclusão: O estudo fornece uma estrutura para a adoção eficaz da IA, oferecendo insights para os tomadores de decisão sobre a estratégia de adoção e enfatizando a importância de levar em consideração as preocupações ESG na decisão de adotar esta tecnologia.Future Studies Research Journal: Trends and Strategies2024-03-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://www.revistafuture.org/FSRJ/article/view/86010.24023/FutureJournal/2175-5825/2024.v16i1.860Future Studies Research Journal: Trends and Strategies; Vol. 16 No. 1 (2024): January December; e860Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 16 n. 1 (2024): Janeiro - Dezembro; e8602175-5825reponame:Future Studies Research Journal: Trends and Strategiesinstname:Fundação Instituto de Administração (FIA)instacron:FIAenghttps://www.revistafuture.org/FSRJ/article/view/860/541Copyright (c) 2024 Luis Guedes, Moacir Oliveira Júniorhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessGuedes, LuisOliveira Júnior, Moacir2024-03-06T19:10:19Zoai:ojs.future.emnuvens.com.br:article/860Revistahttps://www.revistafuture.org/FSRJ/oai2175-58252175-5825opendoar:2024-03-06T19:10:19Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA)false |
dc.title.none.fl_str_mv |
Artificial intelligence adoption in public organizations: a case study Adoção de inteligência artificial em organizações públicas: um estudo de caso |
title |
Artificial intelligence adoption in public organizations: a case study |
spellingShingle |
Artificial intelligence adoption in public organizations: a case study Guedes, Luis Artificial Intelligence Public sector Innovation Technology adoption Inteligência artificial Setor público Liderança estratégica Inovação Adoção de tecnologia |
title_short |
Artificial intelligence adoption in public organizations: a case study |
title_full |
Artificial intelligence adoption in public organizations: a case study |
title_fullStr |
Artificial intelligence adoption in public organizations: a case study |
title_full_unstemmed |
Artificial intelligence adoption in public organizations: a case study |
title_sort |
Artificial intelligence adoption in public organizations: a case study |
author |
Guedes, Luis |
author_facet |
Guedes, Luis Oliveira Júnior, Moacir |
author_role |
author |
author2 |
Oliveira Júnior, Moacir |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Guedes, Luis Oliveira Júnior, Moacir |
dc.subject.por.fl_str_mv |
Artificial Intelligence Public sector Innovation Technology adoption Inteligência artificial Setor público Liderança estratégica Inovação Adoção de tecnologia |
topic |
Artificial Intelligence Public sector Innovation Technology adoption Inteligência artificial Setor público Liderança estratégica Inovação Adoção de tecnologia |
description |
Purpose: The study explores the key factors influencing AI adoption by public organizations, and sought to understand the dynamics of AI adoption, aiming to identify the potential challenges of integrating AI with ESG considerations. Originality/value: This research addresses the gap in understanding AI adoption in the public sector at the firm level, emphasizing the challenges and risks of technology integration. The study discuss how AI can be used effectively, contributing to societal appropriation of technological progress. Methods: Methodology employs a multi-stage analysis of literature, followed by ten interviews and a case study on Brazil's Federal Revenue Service. Empirical data was probed through rigorous coding and thematic analysis, selecting the most impactful factors influencing AI adoption. Results: The conclusions highlight the role of AI in elevating public services performance and reach. However, the deployment of AI calls for vigilant oversight to mitigate adverse effects and inequalities and demands a multidisciplinary strategy addressing an interplay of challenges. Conclusion: The study provides a framework for effective AI adoption, offering insights for decision-makers on strategizing AI adoption, emphasizing the importance of factoring ESG concerns into de decision to adopt this technology. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistafuture.org/FSRJ/article/view/860 10.24023/FutureJournal/2175-5825/2024.v16i1.860 |
url |
https://www.revistafuture.org/FSRJ/article/view/860 |
identifier_str_mv |
10.24023/FutureJournal/2175-5825/2024.v16i1.860 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistafuture.org/FSRJ/article/view/860/541 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Luis Guedes, Moacir Oliveira Júnior https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Luis Guedes, Moacir Oliveira Júnior https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies |
publisher.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies |
dc.source.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies; Vol. 16 No. 1 (2024): January December; e860 Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 16 n. 1 (2024): Janeiro - Dezembro; e860 2175-5825 reponame:Future Studies Research Journal: Trends and Strategies instname:Fundação Instituto de Administração (FIA) instacron:FIA |
instname_str |
Fundação Instituto de Administração (FIA) |
instacron_str |
FIA |
institution |
FIA |
reponame_str |
Future Studies Research Journal: Trends and Strategies |
collection |
Future Studies Research Journal: Trends and Strategies |
repository.name.fl_str_mv |
Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA) |
repository.mail.fl_str_mv |
|
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1798045834851385344 |