Artificial intelligence in the management of public investment projects of the Ministry of Housing, Construction and Sanitation

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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,...

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Detalles Bibliográficos
Autor: Álvarez Ochoa, Johnny Óscar
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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spelling 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
dc.rights.none.fl_str_mv 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
instname_str Universidad de Lima
instacron_str ULIMA
institution ULIMA
reponame_str Revistas - Universidad de Lima
collection Revistas - Universidad de Lima
repository.name.fl_str_mv
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