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The impact of AI engagement on the valuation of German listed companies: an explorative analysis - the impact of Artificial Intelligence methods on firm’s valuation

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorLeite, António Nogueira
dc.contributor.authorJungbluth, Peer
dc.date.accessioned2025-04-03T10:15:10Z
dc.date.available2025-04-03T10:15:10Z
dc.date.issued2025-01-08
dc.date.submitted2024-12-17
dc.description.abstractThis explorative study investigates how AI engagement influences the valuation of German listed companies, measured through Tobin's Q. Panel data from 160 firms across the DAX, MDAX, and SDAX indices (2017–2023) is analyzed using 5 regression models. The results show a negative impact of AI Methods on Tobin's Q. These findings suggest that while AI adoption is conceptually promising, current implementations fail to deliver anticipated valua tion benefits or attract sufficient investor confidence regarding future value creation.pt_PT
dc.identifier.tid203926196pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/181890
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectArtificial Intelligencept_PT
dc.subjectCompany valuationpt_PT
dc.subjectTobin's Qpt_PT
dc.subjectRegression analysespt_PT
dc.subjectGerman public marketpt_PT
dc.titleThe impact of AI engagement on the valuation of German listed companies: an explorative analysis - the impact of Artificial Intelligence methods on firm’s valuationpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
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 Economicspt_PT

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