This project aims to investigate the impact of monitoring on VC reinvestment performance. Using novel data sources, I construct a proxy for monitoring and test the causal relationship between monitoring and investment outcomes. To address the endogeneity issue regarding monitoring, I use the traveling population as an instrumental variable for VC’s monitoring intensity.…Read More
While recent scholarly and practitioner research has stressed the importance of learning in entrepreneurial settings, little scholarly work has formally examined the mechanisms through which learning drives behavior in those settings. Specifically, we investigate how an active learning process based on evaluating performance relative to an aspiration drives the pivoting and experimentation behavior of startups in environments with high degrees of uncertainty and potentially intense selection pressures.…Read More
