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Organizational Learning and Enactment in the Era of Artificial Intelligence

Hendriks, Patrick ; Sturm, Timo ; Olt, Christian M. ; Nan, Ning ; Buxmann, Peter (2024)
Organizational Learning and Enactment in the Era of Artificial Intelligence.
International Conference on Information Systems (ICIS). Bangkok, Thailand (15.12.2024-18.12.2024)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Organizations must constantly align their operations with their environment in order to survive. To achieve this, organizations use two primary strategies: Organizations (1) learn about their environment to adapt to it and (2) enact their environment to adapt it to their own needs. With the rise of artificial intelligence (AI), humans are no longer the only ones capable of learning and enacting on behalf of organizations. We investigate how organizations can effectively coordinate organizational learning and enactment to ensure that they complement rather than conflict with each other. Through a series of agent-based simulations, we find that the optimal coordination of learning and enactment between humans and AI largely depends on the prevailing nature of human learning and allowing both humans and AI to enact for organizations. Our findings contribute to rethinking theory on organizational learning and enactment in the AI era and provide practical guidance for organizations’ strategic alignment.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2024
Autor(en): Hendriks, Patrick ; Sturm, Timo ; Olt, Christian M. ; Nan, Ning ; Buxmann, Peter
Art des Eintrags: Bibliographie
Titel: Organizational Learning and Enactment in the Era of Artificial Intelligence
Sprache: Englisch
Publikationsjahr: Dezember 2024
Ort: Bangkok, Thailand
Veranstaltungstitel: International Conference on Information Systems (ICIS)
Veranstaltungsort: Bangkok, Thailand
Veranstaltungsdatum: 15.12.2024-18.12.2024
URL / URN: https://aisel.aisnet.org/icis2024/gov_strategy/gov_strategy/...
Kurzbeschreibung (Abstract):

Organizations must constantly align their operations with their environment in order to survive. To achieve this, organizations use two primary strategies: Organizations (1) learn about their environment to adapt to it and (2) enact their environment to adapt it to their own needs. With the rise of artificial intelligence (AI), humans are no longer the only ones capable of learning and enacting on behalf of organizations. We investigate how organizations can effectively coordinate organizational learning and enactment to ensure that they complement rather than conflict with each other. Through a series of agent-based simulations, we find that the optimal coordination of learning and enactment between humans and AI largely depends on the prevailing nature of human learning and allowing both humans and AI to enact for organizations. Our findings contribute to rethinking theory on organizational learning and enactment in the AI era and provide practical guidance for organizations’ strategic alignment.

Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management
Hinterlegungsdatum: 08 Dez 2024 10:01
Letzte Änderung: 08 Dez 2024 10:01
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