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Impact of Entrepreneurship Database

This presentation discusses the impact of accelerator programs on early-stage entrepreneurs, including factors such as gender differences, measurement of impact, and support expectations. It also explores the effectiveness of different programs and the growth of accelerated ventures.

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Impact of Entrepreneurship Database

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  1. Impact of Entrepreneurship Database Sean Peters June 24, 2015

  2. Agenda: • Why does this matter? • How was the research done? • What are we seeing so far? • Gender differences • Accelerated vs. non-accelerated • Impact measurement • Support expectations • What’s next?

  3. Why does this matter?

  4. Problem 1 – Do accelerators work?

  5. Accelerator Program = 10 entrepreneurs

  6. Accelerator Program = 10 entrepreneurs

  7. 6 mo 12 mo 18 mo 24 mo = 10 entrepreneurs

  8. =

  9. Do accelerator programs work? Do some programs work better than others? Does program or practice effectiveness depend on sector or locational context? Does program or practice effectiveness depend on entrepreneur/venture characteristics? Are investments in accelerator programs worth the time and money?

  10. Problem 2 – How do early-stage entrepreneurs grow?

  11. How do you identify early-stage entrepreneurs? How do you get data from them?

  12. Accelerator Program = 10 entrepreneurs

  13. Accelerator Program Accelerator Program Accelerator Program Consistent Application Questions = 10 entrepreneurs

  14. 6 mo 12 mo 18 mo 24 mo = 10 entrepreneurs

  15. =

  16. How was the research done?

  17. 64 Partners since 2013

  18. Getting to 50%+ Response Rate • Surveying Tips: • Minimize time commitment • No Mailchimp • Incentivize! • Primary inbox!

  19. What are we seeing so far?

  20. Accelerated vs Non-Accelerated Ventures

  21. Accelerated vs Non-Accelerated Ventures Accelerated ventures are growing revenues at roughly twice the rate as those that applied but were not accepted. Accelerated ventures are attracting investment at a roughly 50% higher rate compared to those that applied but were not accepted.

  22. Accelerated vs Non-Accelerated Ventures We are not seeing much when it comes to employment growth, or to debt or philanthropic investment. Comparatively more of the accelerated ventures seem to be leaning into the IRIS and especially B Lab frameworks.

  23. Benefits Sought from Accelerators

  24. Impact tracking systems – “Do you use IRIS?”

  25. Impact tracking systems – “Do you use IRIS?”

  26. Impact tracking systems – “Do you use B-Labs?”

  27. Impact tracking systems – “Do you use B Labs?”

  28. Impact tracking systems – “Do you use some other system?”

  29. What’s next?

  30. 2015 / 2016 Plans • Expanding out in 2015/2016 = more data! • Expanded partnership with ANDE, accelerator-level research • 2 PhD theses, many more to come • 4 whitepapers this year • Regional expansion over 2016 • Opening data in 2015 for academic and practitioner researchers

  31. Engagement • Year-end summary is now live! bit.do/2014data • Mailing list: eepurl.com/JBjQb • Seeking additional accelerator partners for 2015/2016 • Seeking researchers who are interested in leveraging this data

  32. bit.ly/ZHR17q Sean Peters srhpeters@gmail.com @sean_robert Thank You

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