A Guide to AI Accelerators and Incubators
Part of the Studies in Big Data book series (SBD, volume 50)
This chapter discusses the definition, implications, and benefits of being accelerated and/or incubated into a pre-determined program. The chapter also includes a list of some known programs specifically targeting AI companies.
- Cohen, S., & Hochberg, Y. V. (2014). Accelerating startups: The seed accelerator phenomenon. Working paper.Google Scholar
- Fehder, D. C., & Hochberg, Y. V. (2014). Accelerators and the regional supply of venture capital investment. Working paper.Google Scholar
- Hallen, B. L., Bingham, C., & Cohen, S. (2014). Do accelerators accelerate? A study of venture accelerators as a path to success. Academy of Management Annual Meeting Proceedings.Google Scholar
- Hallen, B. L., Bingham, C., & Cohen, S. (2016). Do accelerators accelerate? The Role of Indirect Learning in New Venture Development. Available at SSRN: https://ssrn.com/abstract=2719810.
- Hausberg, J. P., & Korreck, S. (2017). A systematic review and research agenda on incubators and accelerators. Available at SSRN: https://ssrn.com/abstract=2919340.
- Hochberg, Y. V. (2015). Accelerating entrepreneurs and ecosystems: The seed accelerator model. In J. Lerner, & S. Stern (Eds.), Innovation policy and the economy (Vol. 16). National Bureau of Economic Research.Google Scholar
- Isabelle, D. A. (2013). Key factors affecting a technology entrepreneur’s choice of incubator or accelerator. Technology Innovation Management Review, 16–22.Google Scholar
- Yu, S. (2016). How do accelerators impact the performance of high-technology ventures? Available at SSRN: https://ssrn.com/abstract=2503510.
- Winston-Smith, S., & Hannigan, T. J. (2015). Swinging for the fences: How do top accelerators impact the trajectories of new ventures? Working paper.Google Scholar
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