Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/179525
Título: Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering
Autor: Bakakis, Andreas
Orientador: Castro, João
Palavras-chave: Startup
Software engineering
Generative ai
Large language models
Human-ai interaction
Entrepreneurship
Data de Defesa: 3-Jul-2024
Resumo: This thesis explores how Generative Artificial Intelligence (GAI) accelerates early-stage startups focusing on software engineering capabilities. By integrating literature review and expert interviews, it identifies GAI's role in mitigating failure factors and enhancing success factors. Findings suggest that GAI's impact varies across tasks, offering strategic advantages for startup development. The study provides actionable recommendations for founders to leverage GAI, guiding them through the challenges of entrepreneurship in the AI age. This research fills a significant gap, offering insights and directions for future inquiry into GAIenhanced startup ecosystems.
URI: http://hdl.handle.net/10362/179525
Designação: A 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 Economics
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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