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Decoding startup investments with artificial intelligence - a new frontier in Esg due diligence for capital providers

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorCastro, João
dc.contributor.authorWedemeyer, Salomé Elisabeth Uta
dc.date.accessioned2025-01-27T10:08:59Z
dc.date.available2025-01-27T10:08:59Z
dc.date.issued2024-06-06
dc.date.submitted2024-05-17
dc.description.abstractThis thesis explores AI's potential in financial, commercial, and ESG due diligence for capital providers evaluating startups. Interviews with AI and due diligence experts revealed AI's po tential to improve specific due diligence tasks. These tasks are research-intensive, require ex tensive analysis, or follow set steps. Despite challenges like limited data availability and the need for nuanced judgment, the findings advocate for a hybrid approach where AI supports human expertise, beginning with simpler tasks and gradually expanding to more complex ones. This could lower costs and streamline due diligence, allowing more focus on tasks needing human expertise, thereby improving investment decision quality.pt_PT
dc.identifier.tid203724410pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/177947
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectStartup due diligencept_PT
dc.subjectArtificial intelligencept_PT
dc.subjectDigital transformationpt_PT
dc.subjectEsgpt_PT
dc.titleDecoding startup investments with artificial intelligence - a new frontier in Esg due diligence for capital providerspt_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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