Academic Research for Venture Capital

Research on how AI, prediction systems, and decision frameworks reshape sourcing, screening, and judgment in venture investing.

Predicting Startup Exit from Textual Descriptors - A Computational Linguistics Framework

Research on IPOs, acquisitions, and liquidity outcomes, showing how timing, markets, and company fundamentals shape venture-backed exits.

A Bibliometric Analysis of Market Sector and Cross-Country Impact on IPO Underpricing: Current Status, Development, and Future Research Directions

Research on term sheets, staged financing, ownership, and control rights, explaining how venture deals balance incentives, risk, and upside.

When ESG Failure Triggers Control Rights: Sustainability‐Linked Convertibles and Incomplete Contracting

Research on founders, teams, and human capital, examining how experience, incentives, and relationships influence company building and investment decisions.

The key people paradox: human capital vulnerability in smaller voluntary sport organisations

Research on funding booms, downturns, valuations, and returns, showing how changing market conditions shape venture behavior and performance.

Maturity structure of interest rates, market information, and economic forces

Research on limited partners, fund allocation, and performance measurement, showing how capital providers influence venture strategy and fund formation.

The role of the institutional investor in today's stock market

Research on angel investors, early-stage screening, and founder signals, highlighting how the earliest startup capital gets allocated and supported.

39Chapter 4 From Early Deals to Innovation Systems: Lessons from (almost) 25 Years of Angel Investing

Core research on how venture firms raise funds, select startups, structure investments, monitor companies, and ultimately generate returns.

Sociotechnical Scale| Scaling Identity: Venture Capital and Standpoint in Innovation Industries