IDEAS home Printed from https://ideas.repec.org/a/ety/journl/v50y2019i1p63-100.html
   My bibliography  Save this article

Gestión de la tecnología e innovación: un Modelo de Redes Bayesianas

Author

Listed:
  • Antonia Terán-Bustamante

    (Universidad Panamericana, México)

  • Griselda Dávila Aragón

    (Universidad Panamericana, México)

  • Rosario Castañón Ibarra

    (Universidad Nacional Autónoma de México, México)

Abstract

La presente investigación tiene como propósito fundamental estudiar y analizar la gestión de la tecnología e innovación a través de Redes Bayesianas, para lo cual se realiza un modelo en el que se identifican y cuantifican los diversos factores que tienen impacto para gestionar adecuadamente la tecnología e impactar en innovación. El análisis del caso estudiado se realiza en una empresa de servicios de base tecnológica en la Ciudad de México. En virtud de que una Red Bayesiana es una estructura que representa el entendimiento de un proceso y sus dependencias (causa-efecto), la gestión óptima o no óptima de la tecnología y sus diversos factores se evidencia a través de la causalidad de las variables que permiten capturar de manera más adecuada la interrelación para gestionarla e innovar, mediante razonamiento probabilístico y gráficos. Los resultados muestran que los factores más relevantes son: capital humano, gestión del conocimiento y seguridad informática.

Suggested Citation

  • Antonia Terán-Bustamante & Griselda Dávila Aragón & Rosario Castañón Ibarra, 2019. "Gestión de la tecnología e innovación: un Modelo de Redes Bayesianas," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 50(1), pages 63-100, Enero-Jun.
    • Handle: RePEc:ety:journl:v:50:y:2019:i:1:p:63-100
    DOI: 10.24275/ETYPUAM/NE/502019/Teran
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.24275/ETYPUAM/NE/502019/Teran
    Download Restriction: no
    File URL: https://libkey.io/10.24275/ETYPUAM/NE/502019/Teran?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

    Keywords

    Gestión de la tecnología; innovación; Redes Bayesianas;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • F15 - International Economics - - Trade - - - Economic Integration
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

    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:ety:journl:v:50:y:2019:i:1:p:63-100. 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: Georgina Alenka Guzmán Chávez (email available below). General contact details of provider: https://edirc.repec.org/data/etyuamx.html .

    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.