Essays in High-Impact Companies and High-Impact Entrepreneurship
| dc.contributor.advisor | Tsvetovat, Maksim | |
| dc.contributor.author | Berea, Anamaria | |
| dc.creator | Berea, Anamaria | |
| dc.date | 2012-07-27 | |
| dc.date.accessioned | 2012-10-05T14:36:52Z | |
| dc.date.available | NO_RESTRICTION | |
| dc.date.available | 2012-10-05T14:36:52Z | |
| dc.date.issued | 2012-10-05 | |
| dc.description.abstract | 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 speci c 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 the "fastest" 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 speci c 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 posses. | |
| dc.identifier.uri | https://hdl.handle.net/1920/7950 | |
| dc.language.iso | en | |
| dc.subject | Entrepreneurship | |
| dc.subject | High-impact company | |
| dc.subject | Constructive failure | |
| dc.subject | Agent-based model | |
| dc.title | Essays in High-Impact Companies and High-Impact Entrepreneurship | |
| dc.type | Dissertation | |
| thesis.degree.discipline | Computational Social Science | |
| thesis.degree.grantor | George Mason University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | PhD in Computational Social Science |