The Most Influential Team Attributes When Predicting Start-up Success: A quantitative study of 25 43
Authors: ['Anonymous Student (KTH Royal Institute of Technology)']
Year: 2022
Methodology
- Sample: 25430
- Design: longitudinal
- Data: Earlybird Venture Capital proprietary dataset, Crunchbase, LinkedIn
Factors Extracted (4)
Founder/Executive Team Characteristics [strong] — Not explicitly quantified in abstract
Team Composition/Balance [moderate] — Not explicitly quantified in abstract
Previous Entrepreneurial Experience [moderate] — Not explicitly quantified in abstract
Educational Background [moderate] — Not explicitly quantified in abstract
Key Findings
- Quantitative analysis of 25,430 European startups identifies specific founder and executive team characteristics as the most influential predictors of success.
- The study demonstrates that data-driven methods can reduce bias in the Venture Capital investment process compared to traditional qualitative intuition.
- Team attributes are validated as robust indicators for early-stage startup evaluation where financial metrics are often unavailable.
Limitations
- The study focuses exclusively on European ventures, which may limit generalizability to other ecosystems like the US or Asia.
- As a Master's level thesis, it may lack the peer-review rigor of professional academic journals.
- The abstract does not disclose the specific weighting or coefficients of the individual team attributes identified.
Extracted by lib/ingest/literature_review.py via gemini-flash