The research team is dedicated to exploring the dynamic and multifaceted world of start-ups and early-stage investments. We investigate how advanced machine learning and artificial intelligence technologies can enhance the decision-making processes of business angels, providing them with data-driven insights and predictive analytics to identify promising investment opportunities. Another research focus is on the various ways business angels contribute beyond financial investment, including mentorship, strategic guidance, and network access. Our team also examines the structure and functioning of business angel networks, analysing how these networks facilitate investment opportunities, knowledge sharing, and collaboration among investors. In terms of valuing start-ups, we explore innovative methodologies for valuing start-ups, considering the unique challenges posed by their early-stage nature, such as limited financial history and high uncertainty. This includes the development of new valuation models and their validation. Besides, our research team focus on start-ups emerging from academic institutions, investigating the unique challenges and opportunities they face, and the role of university support systems in fostering their development and success.
Research areas:
- The role of machine learning and artificial intelligence tools in early-stage decision making by business angels.
- Business angels and value added.
- Valuation of start-ups.
- Business angel networks.
- Common terms and conditions in angel investor funding contracts.
- Academic start-ups.
- Impact investing.
- Start-up ecosystems.