What If? Fine-tuning the Expectations of Business Simulation Technology through the Lens of Philosophical Counterfactual Analysis
Marian Eabrasu ()
Additional contact information
Marian Eabrasu: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Post-Print from HAL
Abstract:
Great technological leaps in computational capacity and machine autonomy have increased the business community's expectations of simulators. In joining the conversation on simulators' ability to reproduce the reality of actual, possible, past, and future worlds, this paper draws on the literature in analytical philosophy on counterfactuals. It identifies three functions of simulations (training, advising, and forecasting) and further inquires into their ontological and epistemological assumptions to show how they limit the quest for reality of higher-performance simulators in each of these three areas. This argument is not only meant to contribute to adjusting scholars' and practitioners' expectations and uses of simulations; it also calls for a more in-depth and critical study of the social implications of relying on them. \textcopyright The Author(s) 2021.
Keywords: Counterfactuals; imagination; simulations; technology (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Published in Organization, 2023, 30 (4), pp.694-711. ⟨10.1177/13505084211015378⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:hal:journl:hal-04435511
DOI: 10.1177/13505084211015378
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().