IDEAS home Printed from https://ideas.repec.org/a/dbk/ethaic/v1y2022ip38id38.html
   My bibliography  Save this article

Big data and artificial intelligence for innovation in management in the agricultural industry in Extremadura

Author

Listed:
  • Jesica Tirado

Abstract

Technology behaves in a disruptive way. As the word implies, it abruptly breaks the way in which people's lives unfold, mainly the organizational. Provides unique opportunities, where we can achieve dreams that were only scenes of science fiction movies, but that Today strongly impact in the world of organizations. This can be seen with autonomous vehicles, which transform the way in which transport companies formulate their business models; the holographic communication which provides the possibility of gathering directors of companies in a fraction of a second and decision making; and big data, which implies the reformulation of commercial strategies in relation to real information about consumers offered by bigdata; among others. In order to take advantage of these advances, it is necessary to pay attention to the changes and adapt correctly. The present investigation has the objective to know if agricultural companies in Extremadura, Spain are aware of the need for organizational adaptation to develop successfully in this 4th industrial revolution, mainly by incorporating big data technology. Response that will be sought through a documentary and descriptive investigation about this reality in the companies selected intentionally.

Suggested Citation

Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:38:id:38
DOI: 10.56294/ai202238
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

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:dbk:ethaic:v:1:y:2022:i::p:38:id:38. 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: Javier Gonzalez-Argote (email available below). General contact details of provider: https://ai.ageditor.ar/ .

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.