This dissertation explores the role of artificial intelligence (AI) in the startup founding process and examines how Generative AI can simplify or optimize different phases of startup development leading to improved efficiency. Following a literature review, this dissertation uses a qualitative approach by conducting semi structured interviews with founders and AI experts. The study examines the role of AI in automating routine tasks, improving decision making through data analysis, and impacting scalability, cost efficiency, and customer relationship management. The research also highlights risks associated with the integration of AI, such as data security, regulatory compliance, and ethical issues like algorithmic bias. It emphasizes the need for a responsible approach to manage these risks. An important contribution of this research is the practical application of AI tools to specific steps in the startup process. Examining tools that assist in validating business ideas and developing business plans, as well as overcoming bureaucratic challenges and obtaining startup financing, it suggests that while AI tools provide essential support, especially in the early stages of business creation, human expertise and oversight remain indispensable. In conclusion, Generative AI tools can be a powerful ally in the startup process, offering efficiency, innovation, and strategic advantages. However, its integration requires careful consideration of the associated risks and challenges.
Date of Award | 22 Jan 2024 |
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Original language | English |
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Awarding Institution | - Universidade Católica Portuguesa
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Supervisor | Peter V. Rajsingh (Supervisor) |
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- Artificial intelligence
- Generative artificial intelligence
- AI tools
- Entrepreneurship
- Startup founding process
- Competitive advantage
- Mestrado em Gestão e Administração de Empresas
Innovating the startup founding process: the influence of artificial intelligence
Aschemann, L. (Student). 22 Jan 2024
Student thesis: Master's Thesis