COMPUTATIONAL SOCIAL SCIENCE

Department of Computational Social Science Seminar Abstract

Tuesday, July 24 - 1:00 p.m.
Center for Social Complexity
Research Hall, 3rd Floor

Anamaria Berea
PhD, MA, BA - Academy of Economic Studies, Romania

ESSAYS IN HIGH-IMPACT COMPANIES AND HIGH-IMPACT ENTREPRENEURSHIP

Evidence shows that only a small number of entrepreneurial endeavors - high-impact companies - create most of the new employment in the US. This research is looking for the causes of emergence and uses computational methods to analyze specific aspects of these companies. First, this research proves or disproves some "popular conjectures" regarding the age, location, industry and entrepreneurial character of high-impact companies. Secondly, the agent-based model shows how a company grows in employment and revenue based on two layers of organization: 1) one is the heterogeneous team formation and interaction at the mezzo level of a company organization and 2) another one is the heterogeneous employees skills and interaction at the individual level of a company organization. The model advances and tests the hypothesis that companies that learn more from failed projects while retaining access to capital are more likely to become high-impact companies.

The experiments replicate the high-impact rate given by the real life data and show that the high-impact phase of a company growth is achieved for specific learning parameters and failed projects. The purpose is to provide a coherent theory-model-evidence analysis on high-impact entrepreneurship, that adds new insights for researchers, policy makers and business practitioners, in addition to the qualitative information, informal knowledge or hands-on experience that they currently possess.