The entrepreneurial process and online social networks: forecasting survival rate

Yang Song, Leo Paul Dana, Ron Berger

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


To launch a new business, entrepreneurs search for information and resources through their networks. We are concerned with collaboration among entrepreneurs with a network, and with the impact this has on new venture survival. Using entrepreneurs’ network data extracted from their respective online social networks, our paper develops a simulation model of the entrepreneurial process and its outcomes in terms of growth and survival. Findings from 273 entrepreneurs reveal that initial wealth at start-up, network density, and time to first collaboration have an impact on the probability of survival. We show that using numerical simulation, and based on one’s social network, the survival time of a start-up can be forecasted.

Original languageEnglish
Pages (from-to)1171-1190
Number of pages20
JournalSmall Business Economics
Issue number3
StatePublished - Feb 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.


  • C15
  • Entrepreneurial process
  • L26
  • M13
  • Networks
  • Simulation
  • Social capital
  • Start-up
  • Survival rate


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