IDEAS home Printed from https://ideas.repec.org/a/zbw/hsgmrs/276086.html
   My bibliography  Save this article

Machine Economicus – Business Forecast 4.0 - Methods to Predict Short-, Medium- and Long-term Futures

Author

Listed:
  • Ivancic, Ronald
  • Ott, Stefan

Abstract

An ever-increasing amount of information, digitization and interconnectedness makes predictions of the future easier. Conversely, systems have never been as complex, uncertain, ambiguous and ambivalent as they are today, resulting in the interference of prognoses. Therefore, different approaches to projections of futures (forecasting, foresight, future creation) have to be combined to anticipate probable developments, assess weak signals and prepare a company effectively for the unforeseeable. The combination ensures the viability of a company in the short-, medium- and long-term perspective.

Suggested Citation

  • Ivancic, Ronald & Ott, Stefan, 2020. "Machine Economicus – Business Forecast 4.0 - Methods to Predict Short-, Medium- and Long-term Futures," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 37(3), pages 20-31.
  • Handle: RePEc:zbw:hsgmrs:276086
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/276086/1/MRSG_2020_3_20-31.pdf
    Download Restriction: no
    ---><---

    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:zbw:hsgmrs:276086. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://imc.unisg.ch/ .

    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.