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Navigating organizational tensions in the implementation of artificial intelligence: a paradox theory perspective

authorProfile.emailjohannes@koch-fra.de
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorBerti, Marco
dc.contributor.authorKoch, Johannes Friedrich
dc.date.accessioned2026-02-20T14:18:33Z
dc.date.available2026-02-20T14:18:33Z
dc.date.issued2025-01-29
dc.date.submitted2024-12-17
dc.description.abstractThis thesis analyzes challenges arising from and during the implementation process of the artificial intelligence assistant Copilot at Dreßler Bau, a German construction firm. Applying paradox theory reveals organizational tensions, such as the balance between exploration and exploitation, vision and practice, and smart and stupid artificial intelligence. The Double Loop Model enabled a deeper understanding of the paradoxical roots and offered practical solutions to balance these tensions. The findings of this study demonstrate the applicability of said frameworks for organizational understanding and managing AI-driven transformation.eng
dc.identifier.tid204129303
dc.identifier.urihttp://hdl.handle.net/10362/200534
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectParadox theory
dc.subjectArtificial intelligence
dc.subjectOrganizational tensions
dc.subjectConstruction industry
dc.subjectMicrosoft copilot
dc.titleNavigating organizational tensions in the implementation of artificial intelligence: a paradox theory perspectiveeng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics

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