Machines for producing economic futures. Between prediction and forecast

Les machines à produire des futurs économiques. Entre prédiction et prévision

Jean-Sébastien Vayre (jean-sebastien.vayre@univ-cotedazur.fr)
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Jean-Sébastien Vayre: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: With the increasing digitization of the world of markets, the most mundane consumer activities are producing a large amount of data. For socio-economic actors, these big data are considered as tools for managing the future, leading them to equip themselves with an arsenal of machines whose function is to produce economic futures. In this article, we propose to examine how these machines are involved in the establishment of a new culture of the future that is at the crossroads of the logics of prediction and forecasting.

Keywords: Economic future; Big data; Artificial intelligence; Prediction; Forecast; Futur économique; Mégadonnées; Intelligence artificielle; Prédiction; Prévision (search for similar items in EconPapers)
Date: 2018
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Published in Revue Française de Socio-Economie, 2018, Futurs économiques, 21, pp.105-127. ⟨10.3917/rfse.021.0105⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03146452

DOI: 10.3917/rfse.021.0105

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