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Optimizing decision-making in management consulting: leveraging synergies between Artificial Intelligence and consultant expertise

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorDecreton, Benoit
dc.contributor.authorTkalcic, Taylon
dc.date.accessioned2025-08-06T08:40:04Z
dc.date.available2025-08-06T08:40:04Z
dc.date.issued2025-01-14
dc.date.submitted2024-12-17
dc.description.abstractThis study explores how synergies between artificial intelligence and human expertise can optimize decision-making in management consulting. Drawing on qualitative interviews with 14 consultants and observations from AI training workshops, the research identifies challenges such as unclear use cases, trust dynamics, and data security concerns. Findings reveal AI’s role in enhancing routine tasks, data analysis, and strategic insights while human judgment ensures contextual relevance. A structured Human-AI framework is proposed, integrating AI's computational strengths with consultants' expertise to improve decision efficiency and quality. Recommendations focus on training, organizational culture, and feedback mechanisms to foster successful AI adoption.pt_PT
dc.identifier.tid203962010pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/186104
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectArtificial Intelligencept_PT
dc.subjectManagement consultingpt_PT
dc.subjectDecision-making optimizationpt_PT
dc.subjectHuman-AI collaborationpt_PT
dc.subjectConsultant expertisept_PT
dc.subjectAI integrationpt_PT
dc.titleOptimizing decision-making in management consulting: leveraging synergies between Artificial Intelligence and consultant expertisept_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 International Management from the Nova School of Business and Economicspt_PT

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