Academic Research for Venture Capital

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

A machine learning-driven decision support system for startup investments using entropy-based adaptive loss with sample weighting

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

Initial Public Offerings in the Indian Stock Market: A Literature Review

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

Creditor control rights and corporate social responsibility: evidence from covenant violations

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

More Than One Woman: Team Composition and Intersectional Dimensions as Moderators of Psychological Safety in Tech Organizations

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

The impact of economic policy uncertainty on financial cycle and business cycle: focusing on Korea

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

Institutional investor behaviour and the energy transition: A complexity framework for sustainable finance in the UK

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

A new organisational model to promote entrepreneurial finance: Business Angel Platforms

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

A new organisational model to promote entrepreneurial finance: Business Angel Platforms