Artificial intelligence and managerial decision making
Managerial decision-making has become complex in today's world, due to the accelerated development of technology, which causes decision makers to process large amounts of varied information immediately and face the possible consequences and inherent risks of this accelerated dynamism. Since, the inf...
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| Publicado en: | Revista de Investigación Valor Agregado |
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| Autores principales: | , , , , |
| Formato: | Artículo de revista |
| Lenguaje: | español |
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Universidad Peruana Unión
2021
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| _version_ | 1881695123721420800 |
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| author | Diestra Quinto, Nadiuska Marelyn Cordova Villodas, Alexandra Janet Caruajulca Montero, Caren Patricia Esquivel Cueva, Damaris Laura Nina Vera , Sheyla Alcira |
| author_browse | Caruajulca Montero, Caren Patricia Cordova Villodas, Alexandra Janet Diestra Quinto, Nadiuska Marelyn Esquivel Cueva, Damaris Laura Nina Vera , Sheyla Alcira |
| author_facet | Diestra Quinto, Nadiuska Marelyn Cordova Villodas, Alexandra Janet Caruajulca Montero, Caren Patricia Esquivel Cueva, Damaris Laura Nina Vera , Sheyla Alcira |
| author_sort | Diestra Quinto, Nadiuska Marelyn |
| collection | Revistas |
| container_title | Revista de Investigación Valor Agregado |
| description | Managerial decision-making has become complex in today's world, due to the accelerated development of technology, which causes decision makers to process large amounts of varied information immediately and face the possible consequences and inherent risks of this accelerated dynamism. Since, the information must be collected and interpreted correctly in order to conclude an ideal alternative. Faced with this problem that organizations experience, Artificial Intelligence (AI) has become an ideal ally in decision-making, as well as a possible replacement for the human decision-maker. Thus, the objective of this work is to identify the relationship between AI and decision-making in organizations. In this article, a systematic review of the literature was used as a methodology that allowed obtaining results aimed at the dependence that exists between AI and managerial decision-making, which is generating an accelerated automation of processes in business management. This leads to the reflection that, although there is strong competition in the business world that has led companies to seek means that generate immediate effectiveness and efficiency without anticipating the possible consequences, it should be aimed at obtaining a balanced relationship of AI and decision making. |
| format | Online |
| id | oai:riva.upeu.edu.pe:article/1631 |
| institution | UPeU |
| issn | 2413-5836 2410-1168 |
| language | Spanish |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Universidad Peruana Unión |
| publisherStr | Universidad Peruana Unión |
| record_format | ojs |
| revista_str_mv | Revista de Investigación Valor Agregado |
| spelling | oai:riva.upeu.edu.pe:article/16312023-12-05T23:29:30Z Artificial intelligence and managerial decision making La inteligencia artificial y la toma de decisiones gerenciales Diestra Quinto, Nadiuska Marelyn Cordova Villodas, Alexandra Janet Caruajulca Montero, Caren Patricia Esquivel Cueva, Damaris Laura Nina Vera , Sheyla Alcira Decisiones administrativas; inteligencia artificial; planeamiento estratégico; computación cognitiva; aprendizaje automático Administrative decisions; artificial intelligence; strategic planning; cognitive computing; machine learning Managerial decision-making has become complex in today's world, due to the accelerated development of technology, which causes decision makers to process large amounts of varied information immediately and face the possible consequences and inherent risks of this accelerated dynamism. Since, the information must be collected and interpreted correctly in order to conclude an ideal alternative. Faced with this problem that organizations experience, Artificial Intelligence (AI) has become an ideal ally in decision-making, as well as a possible replacement for the human decision-maker. Thus, the objective of this work is to identify the relationship between AI and decision-making in organizations. In this article, a systematic review of the literature was used as a methodology that allowed obtaining results aimed at the dependence that exists between AI and managerial decision-making, which is generating an accelerated automation of processes in business management. This leads to the reflection that, although there is strong competition in the business world that has led companies to seek means that generate immediate effectiveness and efficiency without anticipating the possible consequences, it should be aimed at obtaining a balanced relationship of AI and decision making. La toma de decisiones gerenciales se ha vuelto compleja en el mundo actual, esto debido al desarrollo acelerado de la tecnología, lo que origina que los encargados de tomar las decisiones procesen grandes cantidades de información variada de forma inmediata y se enfrenten a las posibles consecuencias y riesgos inherentes de este acelerado dinamismo, ya que la información debe recopilarse e interpretarse correctamente para poder concluir en una alternativa idónea. Ante esta problemática que viven las organizaciones, la inteligencia artificial (IA) se ha vuelto un aliado ideal en la toma de decisiones, así como un posible reemplazo del gestor de decisiones humano. Así pues, el objetivo del presente trabajo consiste en identificar la relación de la IA y la toma de decisiones organizacionales. Como metodología se empleó una revisión sistemática de la literatura que permitió obtener resultados abocados a la dependencia que existe entre la IA y la toma de decisiones gerenciales, lo que está generando una automatización acelerada de los procesos en la gestión empresarial. Esto conduce a la reflexión que, a pesar de la existencia de una fuerte competencia en el mundo empresarial, que ha llevado a las empresas a buscar medios que generen una eficacia y eficiencia inmediata sin prever las posibles consecuencias, se debe orientar a obtener una relación equilibrada de la IA y la toma de decisiones. Universidad Peruana Unión 2021-12-20 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://riva.upeu.edu.pe/index.php/ri_va/article/view/1631 10.17162/riva.v8i1.1631 Revista de Investigación Valor Agregado; Vol. 8 Núm. 1 (2021): Revista de Investigación Valor agregado; 52 - 69 2413-5836 2410-1168 10.17162/riva.v8i1 spa https://riva.upeu.edu.pe/index.php/ri_va/article/view/1631/1914 https://riva.upeu.edu.pe/index.php/ri_va/article/view/1631/2015 Derechos de autor 2021 Revista de Investigación Valor Agregado |
| spellingShingle | Decisiones administrativas; inteligencia artificial; planeamiento estratégico; computación cognitiva; aprendizaje automático Administrative decisions; artificial intelligence; strategic planning; cognitive computing; machine learning Diestra Quinto, Nadiuska Marelyn Cordova Villodas, Alexandra Janet Caruajulca Montero, Caren Patricia Esquivel Cueva, Damaris Laura Nina Vera , Sheyla Alcira Artificial intelligence and managerial decision making |
| title | Artificial intelligence and managerial decision making |
| title_alt | La inteligencia artificial y la toma de decisiones gerenciales |
| title_full | Artificial intelligence and managerial decision making |
| title_fullStr | Artificial intelligence and managerial decision making |
| title_full_unstemmed | Artificial intelligence and managerial decision making |
| title_short | Artificial intelligence and managerial decision making |
| title_sort | artificial intelligence and managerial decision making |
| topic | Decisiones administrativas; inteligencia artificial; planeamiento estratégico; computación cognitiva; aprendizaje automático Administrative decisions; artificial intelligence; strategic planning; cognitive computing; machine learning |
| topic_facet | Decisiones administrativas; inteligencia artificial; planeamiento estratégico; computación cognitiva; aprendizaje automático Administrative decisions; artificial intelligence; strategic planning; cognitive computing; machine learning |
| url | https://riva.upeu.edu.pe/index.php/ri_va/article/view/1631 |
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