Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/186554
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Campo DCValorIdioma
dc.contributor.advisorBerti, Marco-
dc.contributor.authorSanatpour, Norell Janan-
dc.date.accessioned2025-08-18T13:24:09Z-
dc.date.available2025-08-18T13:24:09Z-
dc.date.issued2025-01-24-
dc.date.submitted2024-12-16-
dc.identifier.urihttp://hdl.handle.net/10362/186554-
dc.description.abstractThis work project investigates the integration of generative AI (GenAI) in organisations, focusing on effective change management (CM), employee engagement, and assessing productivity gains. Through qualitative interviews and a quantitative survey across industries, it analyses challenges and opportunities in GenAI adoption. The study identifies best practices to foster innovation, enhance job satisfaction, and ensure seamless workflow integration. Key findings underscore the importance of tailored approaches, including leadership engagement, clear communication, and continuous training to address GenAI’s complexities. By offering actionable insights, the research aims to guide organisations in leveraging GenAI’s transformative potential while remaining adaptable to its rapid evolution.pt_PT
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.rightsopenAccesspt_PT
dc.subjectGenerative AIpt_PT
dc.subjectAI Integrationpt_PT
dc.subjectChange management strategiespt_PT
dc.subjectOrganisational changept_PT
dc.subjectMeasuring productivity gainspt_PT
dc.subjectEmployee engagementpt_PT
dc.subjectJob satisfactionpt_PT
dc.subjectWorkflow automation and argumentationpt_PT
dc.subjectMeasuring technology impactpt_PT
dc.subjectTechnological transformationpt_PT
dc.titleThe transformative impact of generative Artificial Intelligence: a cross case comparison – enhancing engagementpt_PT
dc.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
dc.identifier.tid203960297pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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