IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/cmnwh.html
   My bibliography  Save this paper

La inteligencia artificial y automatización en la toma de decisiones gerenciales

Author

Listed:
  • Córdova, Eliezer Chirinos
  • Hernández, Wladimiro García
  • Quevedo, Ana Morales
  • , darwinparism@gmail.com
  • Sánchez, Iraima Trómpiz

Abstract

En la actualidad las sociedades han ido evolucionando y cada vez son más cambiantes y dinámicas que exigen mayor innovación y uso de las tecnologías avanzadas, promoviendo ámbitos en la vida cotidiana de los seres humanos y en las organizaciones que estos conforman. Este estudio analiza la inteligencia artificial y la automatización en la toma de decisiones gerenciales, como herramientas fundamentales de las organizaciones en expansión. La metodología se basó en el enfoque prospectivo mediante el análisis estructural, para comprender la relación entre las variables y los actores estratégicos. A su vez, este estudio se fundamentó en las teorías de Godet (1993). Entre los resultados obtenidos, los actores dominados deben desarrollar estrategias para alcanzar el logro de sus objetivos y construir un escenario deseable que Impulse una eficaz implementación, de la inteligencia artificial y automatización en la toma de decisiones gerenciales en las empresas.

Suggested Citation

  • Córdova, Eliezer Chirinos & Hernández, Wladimiro García & Quevedo, Ana Morales & , darwinparism@gmail.com & Sánchez, Iraima Trómpiz, 2023. "La inteligencia artificial y automatización en la toma de decisiones gerenciales," OSF Preprints cmnwh, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:cmnwh
    DOI: 10.31219/osf.io/cmnwh
    as

    Download full text from publisher

    File URL: https://osf.io/download/6417adc6e25636115c232b0b/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/cmnwh?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:cmnwh. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.