The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
The design of startup accelerators
Abstract
Abstract Accelerator programs are an increasingly important part of entrepreneurial ecosystems. While accelerators have core defining features—fixed-term, cohort-based educational and mentorship programs for startups— there is also significant variation amongst them. In this paper, we relate key variation in the antecedents, organizational design and operation of these programs to theories of firm-level entrepreneurial performance. We then document descriptive correlations between these design elements and the performance of the startups that attend these programs. In doing so, we probe the connections between design and performance in ways that integrate previously disparate research on accelerators and expand our understanding of startup intermediaries. Our findings delineate the building blocks as well as an agenda for future researchers to build upon not only our understanding of accelerators, but also our understanding of what new ventures need to survive and flourish.
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Knowledge Transfer: A Basis for Competitive Advantage in Firms
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Balanced Skills and Entrepreneurship
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Creativity and Entrepreneurship: A Regional Analysis of New Firm Formation
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Cited by
Measure Twice, Cut Once: Entrepreneurial Ecosystem Metrics
Leendertse, J., Schrijvers, M., & Stam, E. (2022) · Research Policy · doi:10.1016/j.respol.2021.104336 · Cited by 282
How open is innovation? A retrospective and ideas forward
Dahlander, L., Gann, D. M., & Wallin, M. W. (2021) · Research Policy · doi:10.1016/j.respol.2021.104218 · Cited by 253
The influence of differences between venture studios on differences in venture outcomes
Patel, P. C., & Chan, C. S. R. (2024) · Venture Capital · doi:10.1080/13691066.2023.2185168 · Cited by 14
Metadata
- Authors
- Cohen, S., Fehder, D. C., Hochberg, Y. V., & Murray, F.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 48
- Issue
- 7
- Pages
- 1781-1797
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2943066683
- Cited by
- 451
- References
- 39
- FWCI
- 66.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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