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

Ronald Ivancic and Stefan Ott

Marketing Review St.Gallen, 2020, vol. 37, issue 3, 20-31

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.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/276086/1/MRSG_2020_3_20-31.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:hsgmrs:276086

Access Statistics for this article

Marketing Review St.Gallen is currently edited by Sven Reinecke, Thomas Bieger, Johanna Gollnhofer, Dennis Herhausen, Andreas Herrmann, Christian Hildebrand, Thomas Rudolph, Christian Schmitz, Marcus Schögel, Torsten Tomczak, Dirk Zupancic, Christian Belz, Heinz Weinhold-Stünzi

More articles in Marketing Review St.Gallen from Universität St.Gallen, Institut für Marketing und Customer Insight
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics (econstor@zbw-workspace.eu).