Academic Research for Venture Capital

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

A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology

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

PRICING INITIAL PUBLIC OFFERINGS ON EUROPE'S NEW STOCK MARKETS

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.

Trust, organizational control, and the emergence of collective human capital resources: the impact of AI

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

Higher interest rates: can I make them work for me?

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

Information Overload in Financial Reporting and Behavioral Decision-Making: Institutional Investors' Perspectives

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

Decision-Making in Early-Stage Startups: How Venture Capitalists and Angel Investors Evaluate Uncertainty

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

Antecedents of target selection by private equity and strategic acquirers: a review and research agenda