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ROI framework development for AI impact assessment – decision-making roles

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorSousa, Milton de
dc.contributor.authorLagereva, Olga
dc.date.accessioned2026-05-12T15:18:44Z
dc.date.available2026-05-12T15:18:44Z
dc.date.issued2026-01-26
dc.date.submitted2025-12-31
dc.description.abstractThis study aims to develop a ROI framework to assess the impact of AI tools implemented within organizations. Theoretical evidence provides insights into main approaches and variables necessary to design the methodology. Expert interviews allow for an evaluation and enhancement of the introduced approach. The resulting framework adopts a hybrid structure to capture financial, productivity, human-centered, and contextual metrics. This enables organizations to observe measurable impacts of AI, investing in technologies that accelerate revenue growth.eng
dc.identifier.tid204240140
dc.identifier.urihttp://hdl.handle.net/10362/203027
dc.language.isoeng
dc.relationUID/00124/2025
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligence (AI)
dc.subjectAI tools
dc.subjectReturn on investment (ROI)
dc.subjectProcess optimization
dc.subjectWorkflow automation
dc.subjectHuman-AI collaboration
dc.titleROI framework development for AI impact assessment – decision-making roleseng
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 Finance, from the Nova School of Business and Economics

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