Tecnologías emergentes y de datos aplicadas al sector público: Una revisión sistemática de la literatura copilotada por IA
Descripción del Articulo
This study aimed to explore the use of emerging and data technologies (Rotolo et al., 2015) in the public sector, investigating their applications, challenges, and benefits through the analytical perspectives proposed by Criado et al. (2024). To amplify the analytical capacity, minimize data process...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de Publicación: | 2025 |
| Institución: | Pontificia Universidad Católica del Perú |
| Repositorio: | PUCP-Institucional |
| Lenguaje: | portugués |
| OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/205211 |
| Enlace del recurso: | https://revistas.pucp.edu.pe/index.php/contabilidadyNegocios/article/view/32270/28159 http://hdl.handle.net/20.500.14657/205211 https://doi.org/10.18800/contabilidad.202502.003 |
| Nivel de acceso: | acceso abierto |
| Materia: | Emerging technologies Artificial intelligence Public sector Systematic literature review Tecnologías emergentes Inteligencia artificial Sector público Revisión sistemática de la literatura Tecnologias emergentes Inteligência artificial Setor público Revisão sistemática da literatura https://purl.org/pe-repo/ocde/ford#5.02.04 |
| Sumario: | This study aimed to explore the use of emerging and data technologies (Rotolo et al., 2015) in the public sector, investigating their applications, challenges, and benefits through the analytical perspectives proposed by Criado et al. (2024). To amplify the analytical capacity, minimize data processing time and analyze relevant studies on the topic in high-impact journals, the study adopts a systematic literature review process, inspired by H. Gu's et al. (2024) co-piloted artificial intelligence (AI) in audit studies and informed by prior literature review methods (Lyrio et al., 2018; Page et al., 2021; Ruijer et al., 2023; Straub et al., 2023). Based on Criado’s et al. (2024) perspectives, the results showed that, at a macro level, AI and big data stand out in the formulation of public policies. At a meso level, use cases demonstrated the potential of these technologies to optimize processes and improve organizational efficiency. At a micro level, the studies highlighted the personalization of public services and improvements in interaction with citizens, although they also warned of risks such as digital exclusion and loss of trust in governments. The study concludes that research on the topic is still in an evolving phase and has prioritized ethical and regulatory issues to balance efficiency, innovation, and the democratic values of the public sector. |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).