The social organization of entrepreneurial ecosystems

Xaver Neumeyer, Shan He, Susana C. Santos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This study attempts to develop our understanding of the entrepreneurial ecosystem as a complex social system. Using in-depth interviews, we model the entrepreneurial ecosystems of two municipalities through a diverse network of entrepreneurs, investors, institutional leaders and staff. The two ecosystems were characterized and compared on a set of measures related to the level of connectivity between actors, the existence of social boundaries, the role and position of actors with certain attributes (e.g. women, minorities) and the presence of ties in multiple social contexts (e.g. friend and investor). We found that social boundaries formed along venture type (e.g. high-growth/technology, lifestyle), type of support institution (e.g. university, government agency), gender, and ethnicity. High-growth/technology entrepreneurs, for example, were predominantly white, male and strongly connected to technology commercialization and acceleration programs. We also found that women and minorities are less embedded in the high-growth community than their male and ethnic counterparts.

Original languageEnglish (US)
Title of host publication2017 IEEE Technology and Engineering Management Society Conference, TEMSCON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509011148
DOIs
StatePublished - Jul 31 2017
Externally publishedYes
Event2017 IEEE Technology and Engineering Management Society Conference, TEMSCON 2017 - Santa Clara County, United States
Duration: Jun 8 2017Jun 10 2017

Publication series

Name2017 IEEE Technology and Engineering Management Society Conference, TEMSCON 2017

Conference

Conference2017 IEEE Technology and Engineering Management Society Conference, TEMSCON 2017
Country/TerritoryUnited States
CitySanta Clara County
Period6/8/176/10/17

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Management of Technology and Innovation
  • Strategy and Management
  • Management Science and Operations Research

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