Eficiencia e innovación en la administración pública mediante chatbots impulsados por IA
DOI:
https://doi.org/10.36517/contextus.2025.94868Palabras clave:
chatbots, inteligencia artificial, administración pública, innovación; automatización.Resumen
Contextualización: El artículo explora el impacto de la Inteligencia Artificial (IA) en la administración pública, centrando su análisis en los chatbots como herramientas para mejorar procesos e innovar en la prestación de servicios. El estudio investiga la aplicación de la IA para gestionar consultas administrativas, destacando sus beneficios y desafíos.
Objetivo: Evaluar la percepción de los usuarios sobre la contribución de un chatbot basado en Inteligencia Artificial para el esclarecimiento de dudas y el apoyo informativo en los procesos administrativos de contratación que involucran fundaciones de apoyo en la Universidad Federal de Espírito Santo.
Método: Se realizó una prueba piloto con el chatbot utilizando interacciones reales de usuarios en la UFES. Se evaluaron indicadores como la satisfacción del usuario, el tiempo de respuesta y la relevancia de la información.
Resultados: El 88,9% de los usuarios calificaron el tiempo de respuesta como satisfactorio, y el 83,3% reportaron una experiencia general positiva. El chatbot demostró potencial para reducir la burocracia y facilitar la comunicación entre los ciudadanos y las instituciones públicas.
Conclusiones: El uso de la IA, como lo demuestra el chatbot de la UFES, puede contribuir a modernizar la administración pública. Sin embargo, se necesitan mejoras como la ampliación de la base de conocimientos y ajustes técnicos. El estudio sugiere que las soluciones basadas en IA, con refinamientos, podrían apoyar iniciativas de transformación digital..
Referencias
Adamopoulou, E., & Moussiades, L. (2020a). An overview of chatbot technology (p. 373–383). https://doi.org/10.1007/978-3-030-49186-4_31
Adamopoulou, E., & Moussiades, L. (2020b). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006
Bardin, L. (2010). Análise de conteúdo (Ed. rev. e actual). Edições 70.
Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. AI Magazine, 26, 53-60. https://doi.org/10.1609/aimag.v26i4.1848
Chen, T., Gascó-Hernandez, M., & Esteve, M. (2024). The adoption and implementation of artificial intelligence chatbots in public organizations: Evidence from U.S. State Governments. The American Review of Public Administration, 54(3), 255–270. https://doi.org/10.1177/02750740231200522
Creswell, J. W. (2007). Projeto de pesquisa: Métodos qualitativo, quantitativo e misto (2o ed). Artmed.
Damaceno, S. S., & Vasconcelos, R. O. (2018). Inteligência Artificial: Uma breve abordagem sobre seu conceito real e o conhecimento popular. Ciências Exatas e Tecnológicas, 05(1), 11–16.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods. McGraw-Hill.
Hall, R. W. (2021). Creating the innovative university. Technology and Innovation, 21(4), 1–14. https://doi.org/10.21300/21.4.2020.3
Ismail, A. R. A., Fujita, S., Sakamoto, K., Takahashi, H., & Panessai, I. Y. (2024). Emerging trends and challenges in chatbot technology: A japanese industry perspective. International Journal of Recent Technology and Applied Science (IJORTAS), 6(1), 46–60. https://doi.org/10.36079/lamintang.ijortas-0601.708
Kale, N. (2024). Chatbot Architecture based on NLP Techniques. International Journal of Scientific Research in Engineering and Management, 8(06), 1–5. https://doi.org/10.55041/IJSREM35978
Kar, R., & Haldar, R. (2016). Applying chatbots to the internet of things: Opportunities and architectural elements. International Journal of Advanced Computer Science and Applications, 7(11). https://doi.org/10.14569/IJACSA.2016.071119
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., & Coiera, E. (2018). Conversational agents in healthcare: A systematic review. Journal of the American Medical Informatics Association, 25(9), 1248–1258. https://doi.org/10.1093/jamia/ocy072
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.
Lima López Valle, V. C., & Gallo, W. I. (2020). Inteligência artificial e capacidades regulatórias do Estado no ambiente da Administração Pública Digital. A&C - Revista de Direito Administrativo & Constitucional, 20(82), 67. https://doi.org/10.21056/aec.v20i82.1396
Mohanachandran, D. K., Yap, C. T., Ismaili, Z., & Govindarajo, N. S. (2021). Smart university and artificial intelligence. The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, 935, 255–279. https://doi.org/10.1007/978-3-030-62796-6_15
Oliveira, A. K. F., Branco, D. D. S. A. C., Ximenes, J. V., Costa, J. M. M., & Saraiva, P. M. (2024). Direito Administrativo e a aplicabilidade da inteligência artificial no setor público. IOSR Journal of Humanities and Social Science, 29(11), 08–13. https://doi.org/10.9790/0837-2911080813
Osborne, D., & Gaebler, T. (1992). Reinventing government: How the entrepreneurial spirit is transforming the public sector. In Reinventing government: How the entrepreneurial spirit is transforming the public sector. Addison-Wesley Publishing Company.
Patton, M. Q. (2002). Qualitative Research & Evaluation Methods (3o ed). Sage Publications.
Prajakta Jadhav, Alim Samnani, Aman Alachiya, Vraj Shah, & Alexander Selvam. (2022). Intelligent chatbot. International Journal of Advanced Research in Science, Communication and Technology, 679–683. https://doi.org/10.48175/ijarsct-3996
Rostami, M., & Navabinejad, S. (2023). Artificial empathy: User experiences with emotionally intelligent chatbots. AI and Tech in Behavioral and Social Sciences, 1(3), 19–27. https://doi.org/10.61838/kman.aitech.1.3.4
Russell, S., & Norvig, P. (2021). Artificial intelligence, global edition a modern approach. Pearson Deutschland. https://elibrary.pearson.de/book/99.150005/9781292401171
Silva, W. F., Silva, F. S., & Rabêlo, O. D. S. (2021). Tendências no uso de inteligência artificial e sua influência na requalificação da força de trabalho no setor público. Cadernos de Prospecção, 14(3), 824. https://doi.org/10.9771/cp.v14i3.36727
Storozhenko, L. (2023). Using artificial intelligence in public management: Aspects of integration. Krakowskie Studia Małopolskie, 40(4), 37–49. https://doi.org/10.15804/ksm20230403
Van Noordt, C., & Misuraca, G. (2022). Exploratory insights on artificial intelligence for government in Europe. Social Science Computer Review, 40(2), 426–444. https://doi.org/10.1177/0894439320980449
Vázquez-Cano, E., Mengual-Andrés, S., & López-Meneses, E. (2021). Chatbot to improve learning punctuation in Spanish and to enhance open and flexible learning environments. International Journal of Educational Technology in Higher Education, 18(1), 33. https://doi.org/10.1186/s41239-021-00269-8
Vieira, E. A., & Coelho, T. R. (2022). Barreiras informacionais e desafios organizacionais em gestão de convênios entre universidades e fundações de amparo à pesquisa. Revista Informação na Sociedade Contemporânea, 6, e29360. https://doi.org/10.21680/2447-0198.2022v6n1ID29360
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector—applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103
Zuiderwijk, A., Chen, Y.-C., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), 101577. https://doi.org/10.1016/j.giq.2021.101577
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2025 Revista: apenas para a 1a. publicação

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
The authors, while doing the submission, accept the notice below:
We authors hold the copyright related to our paper and transfer Contextus journal the right for the first publication with a Creative Commons’ international license of the modality Attribution – Non-commercial 4.0, which in turn allows the paper to be shared providing that both the authorship and the journal’s right for initial release are acknowledged.
Furthermore, we are aware of our permission to take part in additional contracts independently for non-exclusive distribution of the version of our work published in this journal (e.g. publishing it in an institutional repository or as a book chapter), while acknowledging both the authorship and the journal’s initial publication.
We also certify that the paper is original and up to this date has not been released in any other journal, Brazilian or of another nationality, either in Portuguese or another language, as well as it has not been sent for simultaneous publication in other journals.
Last, we not only know that plagiarism is not tolerated by Contextus but also certify the paper presents the sources of passages from cited works, including those authored by ourselves.








1.jpg)



1.jpg)

1.jpg)



.jpg)



1.jpg)

1.jpg)


1.jpg)

1.jpg)
1.jpg)
2.png)




2.jpg)
1.jpg)




1.jpg)


1.jpg)
1.jpg)