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Algorithmic management learning

Title: Algorithmic management learning
Authors: Butler, Nick; Spoelstra, Sverre
Contributors: Swedish Research Counsil
Source: Management Learning ; volume 56, issue 1, page 132-139 ; ISSN 1350-5076 1461-7307
Publisher Information: SAGE Publications
Publication Year: 2025
Description: In this short paper, we reflect on ‘algorithmic management learning’ – a phenomenon that dates back to the early twentieth century but has gained fresh impetus in the dawning age of artificial intelligence. In particular, we suggest that management learning has today become a human-machine hybrid. This form of management learning is not only increasingly non-reflexive, it is also impeding the human capacity to be reflexive and to learn reflexively. We conclude by outlining the consequences of algorithmic management learning for the future of this journal.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1177/13505076241279062
Availability: https://doi.org/10.1177/13505076241279062; https://journals.sagepub.com/doi/pdf/10.1177/13505076241279062; https://journals.sagepub.com/doi/full-xml/10.1177/13505076241279062
Rights: https://creativecommons.org/licenses/by/4.0/ ; https://journals.sagepub.com/page/policies/text-and-data-mining-license
Accession Number: edsbas.E3EEB167
Database: BASE