Understanding investors' decision-making in quantum computing start-ups: a mixed-methods approach to investment criteria

Pediconi, Francesco (A.A. 2024/2025) Understanding investors' decision-making in quantum computing start-ups: a mixed-methods approach to investment criteria. Tesi di Laurea in Entrepreneurship, innovation and technology, Luiss Guido Carli, relatore Bisan Abdulkader, pp. 103. [Bachelor's Degree Thesis]

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Abstract/Index

Introduction to quantum computing. Fundamental principles and concepts. The entrepreneurial landscape and investment challenges. Methodology. Research gap and relevance of the topic. Methodological framework. Quantitative analysis. Data source and rationale. Model and variable foundations. Correlation structure and preliminary insight. Patterns across regression models. Exploratory and extended models. Key findings and groundwork for qualitative analysis. Qualitative analysis. Qualitative design and interview sample. VC perspective I: leadership and capital dynamics. VC perspective II: market fit and geographic strategies. VC perspective III: IP strategy and technological positioning.

References

Bibliografia: pp. 56-59.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33)
Chair: Entrepreneurship, innovation and technology
Thesis Supervisor: Abdulkader, Bisan
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 25 Nov 2025 09:14
Last Modified: 25 Nov 2025 09:14
URI: https://tesi.luiss.it/id/eprint/44018

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