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Artificial intelligence in early detection and preparation of crisis management: analyzing potentials and limitations to strengthen top management responses in business resilience

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorCastro, João
dc.contributor.authorKunac, Jessica
dc.date.accessioned2025-02-20T19:20:35Z
dc.date.embargo2026-12-20
dc.date.issued2024-01-26
dc.date.submitted2023-12-21
dc.description.abstractThis study examines Artificial Intelligence (AI) in Crisis Management (CM), particularly in crisis detection, decision-making, strategy implementation, and learning. Using quantitative interviews and a systematic literature review, it assesses AI's effectiveness in CM under extreme conditions and its autonomy levels. The findings suggest AI's limited efficacy in severe crises, its varied potential in CM phases, and mixed results at the operational level. Although some AI applications are effective, human intervention remains crucial in crisis contexts. The research highlights the need for further exploration of AI's limitations, including data biases and the challenges of mimicking human interactions.pt_PT
dc.identifier.tid203865170pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/179453
dc.language.isoengpt_PT
dc.subjectAipt_PT
dc.subjectCrisis managementpt_PT
dc.subjectEarly detectionpt_PT
dc.subjectPreventionpt_PT
dc.subjectBusiness resiliencept_PT
dc.subjectPreparationpt_PT
dc.titleArtificial intelligence in early detection and preparation of crisis management: analyzing potentials and limitations to strengthen top management responses in business resiliencept_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_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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