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Exploring the potential of artificial intelligence in system mapping

2025-01-30Dissertação de mestrado Acesso aberto
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datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorZózimo, Ricardo
dc.contributor.authorD’heur, Maximilian Michael
dc.date.accessioned2026-04-08T09:56:00Z
dc.date.available2026-04-08T09:56:00Z
dc.date.issued2025-01-30
dc.date.submitted2024-12-17
dc.description.abstractRapid population growth, inequalities, and technological disruption create interconnected societal challenges driven by dynamic interactions among social, technological, and environmental factors. System mapping, while vital for understanding these complexities, is resource intensive. Generative AI (GenAI) can potentially accelerate the study of such issues, though its practical application remains underexplored. This research employs a mixed-methods approach to examine GenAI's role in system mapping, identifying three dimensions: the potentials of GenAI in system mapping, its challenges and limitations, and the benefits of managing complexity through Human AI Collaboration. These findings provide a foundation for further exploration and practical applications in addressing complex problems.eng
dc.identifier.tid203926870
dc.identifier.urihttp://hdl.handle.net/10362/202101
dc.language.isoeng
dc.relationUID/ECO/00124/2013
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGenerative AI
dc.subjectSystem mapping
dc.subjectSystems thinking
dc.subjectParticipatory modelling
dc.titleExploring the potential of artificial intelligence in system mappingeng
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 Impact Entrepreneurship and Innovation from the Nova School of Business and Economics

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NSBE - MA Dissertations