Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation
Descripción del Articulo
The research aims to determine that artificial intelligence is related to the management of public investment projects in Peru. This is demonstrated thanks to the study consisting of a literature review and the design of a survey, with a census sample. According to the results of the Spearman test,...
| Autor: | |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2022 |
| Institución: | Universidad de Lima |
| Repositorio: | Revistas - Universidad de Lima |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/5802 |
| Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802 |
| Nivel de acceso: | acceso abierto |
| Materia: | artificial intelligence algorithms critical factors efficiency effectiveness inteligencia artificial algoritmos factores críticos eficiencia eficacia |
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Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and SanitationLa inteligencia artificial en la gestión de proyectos de inversión pública del Ministerio de Vivienda, Construcción y SaneamientoÁlvarez Ochoa, Johnny Óscar Álvarez Ochoa, Johnny Óscar artificial intelligencealgorithmscritical factorsefficiencyeffectivenessinteligencia artificialalgoritmosfactores críticoseficienciaeficaciaThe research aims to determine that artificial intelligence is related to the management of public investment projects in Peru. This is demonstrated thanks to the study consisting of a literature review and the design of a survey, with a census sample. According to the results of the Spearman test, the described hypotheses are proved and as a contribution, an optimization model for project prioritization (MOPP) is proposed.Esta investigación tiene como objetivo determinar que la inteligencia artificial se relaciona con la gestión de proyectos de inversión pública en el Perú. Esto se demuestra en la revisión de bibliografía y el diseño de una encuesta, con una muestra censal. Según los resultados de la prueba Spearman, se comprueban las hipótesis descritas. Finalmente, se propone como aporte un modelo de optimización para la priorización de proyectos (MOPP).Universidad de Lima2022-04-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdftext/htmlhttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/580210.26439/ing.ind2022.n.5802Ingeniería Industrial; 2022: Edición Especial; 99-121Ingeniería Industrial; 2022: Edición Especial; 99-1212523-63261025-992910.26439/ing.ind2022.nreponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802/5624https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802/5643info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/58022024-10-24T15:53:28Z |
| dc.title.none.fl_str_mv |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation La inteligencia artificial en la gestión de proyectos de inversión pública del Ministerio de Vivienda, Construcción y Saneamiento |
| title |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| spellingShingle |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation Álvarez Ochoa, Johnny Óscar artificial intelligence algorithms critical factors efficiency effectiveness inteligencia artificial algoritmos factores críticos eficiencia eficacia |
| title_short |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| title_full |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| title_fullStr |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| title_full_unstemmed |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| title_sort |
Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation |
| dc.creator.none.fl_str_mv |
Álvarez Ochoa, Johnny Óscar Álvarez Ochoa, Johnny Óscar |
| author |
Álvarez Ochoa, Johnny Óscar |
| author_facet |
Álvarez Ochoa, Johnny Óscar |
| author_role |
author |
| dc.subject.none.fl_str_mv |
artificial intelligence algorithms critical factors efficiency effectiveness inteligencia artificial algoritmos factores críticos eficiencia eficacia |
| topic |
artificial intelligence algorithms critical factors efficiency effectiveness inteligencia artificial algoritmos factores críticos eficiencia eficacia |
| description |
The research aims to determine that artificial intelligence is related to the management of public investment projects in Peru. This is demonstrated thanks to the study consisting of a literature review and the design of a survey, with a census sample. According to the results of the Spearman test, the described hypotheses are proved and as a contribution, an optimization model for project prioritization (MOPP) is proposed. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-04-22 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802 10.26439/ing.ind2022.n.5802 |
| url |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802 |
| identifier_str_mv |
10.26439/ing.ind2022.n.5802 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802/5624 https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5802/5643 |
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info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf text/html |
| dc.publisher.none.fl_str_mv |
Universidad de Lima |
| publisher.none.fl_str_mv |
Universidad de Lima |
| dc.source.none.fl_str_mv |
Ingeniería Industrial; 2022: Edición Especial; 99-121 Ingeniería Industrial; 2022: Edición Especial; 99-121 2523-6326 1025-9929 10.26439/ing.ind2022.n reponame:Revistas - Universidad de Lima instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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ULIMA |
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ULIMA |
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Revistas - Universidad de Lima |
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Revistas - Universidad de Lima |
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1846791801114984448 |
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13.945474 |
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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).