Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37455
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dc.contributor.authorKane, Thomas Ben_UK
dc.date.accessioned2025-10-08T00:10:56Z-
dc.date.available2025-10-08T00:10:56Z-
dc.date.issued2025-03-25en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37455-
dc.description.abstractThe Fourth Industrial Revolution is expected to disrupt economic and social systems nationally, internationally and globally. It is clear that two of the distinguishing disruptors of the Fourth Industrial Revolution have been in business uses of Generative Artificial Intelligence and Cyberphysical Systems across the Internet of Things. This paper offers Business Analysts new analytical tools for guiding business strategy in these times. The contribution of the paper lies in adapting Beer’s Viable System Model for use in the Fourth Industrial Revolution, by inserting into its classic format contributions from three profoundly significant philosophers of society, of being, and of language. Firstly, by presenting any institutional viable systems as intentional artificial persons at work within the bounds of a Hobbesian social contract. Secondly, it demonstrates how the Viable System Model can adopt Heideggerian phenomenology to explore the ontological characteristics of generative AI agents. Finally, Wittgenstein language games are employed to explore the intentional behaviours of artificial persons with respect to their allotted social contract. The tools offered are proposed to aid national governance, business management and to ensure decorous living conditions for natural and artificial persons alike during this exciting new industrial revolution.en_UK
dc.language.isoenen_UK
dc.publisherInforma UK Limiteden_UK
dc.relationKane TB (2025) Philosophical approaches to managing generative AI agents as artificial persons at work. <i>Journal of Business Analytics</i>, 8, pp. 250-266. https://doi.org/10.1080/2573234x.2025.2482652en_UK
dc.rights© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectWorden_UK
dc.subjectgenerative AIen_UK
dc.subjectcyberphysical systemsen_UK
dc.subjectcyberneticsen_UK
dc.subjectmanagement discourseen_UK
dc.titlePhilosophical approaches to managing generative AI agents as artificial persons at worken_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1080/2573234x.2025.2482652en_UK
dc.citation.jtitleJournal of Business Analyticsen_UK
dc.citation.issn2573-2358en_UK
dc.citation.issn2573-234Xen_UK
dc.citation.volume8en_UK
dc.citation.spage250en_UK
dc.citation.epage266en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderStirling Enterprise Parken_UK
dc.author.emailt.b.kane@stir.ac.uken_UK
dc.citation.date25/03/2025en_UK
dc.contributor.affiliationManagement, Work and Organisationen_UK
dc.identifier.isiWOS:001451674600001en_UK
dc.identifier.scopusid105001137251en_UK
dc.identifier.wtid2188485en_UK
dc.date.accepted2025-03-08en_UK
dcterms.dateAccepted2025-03-08en_UK
dc.date.filedepositdate2025-09-23en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorKane, Thomas B|en_UK
local.rioxx.projectProject ID unknown|Stirling Enterprise Park|en_UK
local.rioxx.freetoreaddate2025-10-03en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2025-10-03|en_UK
local.rioxx.filenamePhilosophical approaches to managing generative AI agents as artificial persons at work.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2573-2358en_UK
Appears in Collections:Management, Work and Organisation Journal Articles

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