A meta-analysis towards the effectiveness of startup accelerators

Abstract Accelerators have become crucial facilitators of entrepreneurial growth, yet empirical research on their effectiveness remains fragmented and inconclusive. To this extent, this paper conducts a comprehensive meta-analysis to synthesize quantitative findings and assess the impact of accelerator participation on new venture performance. By analyzing 21 primary studies and 68 effect sizes, the results reveal a statistically significant positive effect of accelerator participation. The study identifies key moderating factors, such as program duration, cohort size, sponsorship type, and regional context, which significantly influence venture outcomes. Additionally, the analysis highlights the presence selection biases within accelerator programs. This paper contributes to the theoretical understanding of accelerators by offering insights into their role in enhancing financial and operational dimensions of new venture performance. The findings provide valuable implications for both scholars and practitioners, laying the groundwork for future research on accelerator design and effectiveness.

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Institutions

Publication Details

Journal
The Journal of Technology Transfer
Published
2025-08-18
DOI
https://doi.org/10.1007/s10961-025-10218-6
Citations
4
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
15.64

Funders

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article

A meta-analysis towards the effectiveness of startup accelerators

Nikolaus Seitz, Martina Buratti, Erik E. Lehmann, Julie Kurrle
4 citations
The Journal of Technology Transfer
Private Equity and Venture Capital
15.64
article

A meta-analysis towards the effectiveness of startup accelerators

Nikolaus Seitz, Martina Buratti, Erik E. Lehmann, Julie Kurrle
article en
4 citations

Abstract

Abstract Accelerators have become crucial facilitators of entrepreneurial growth, yet empirical research on their effectiveness remains fragmented and inconclusive. To this extent, this paper conducts a comprehensive meta-analysis to synthesize quantitative findings and assess the impact of accelerator participation on new venture performance. By analyzing 21 primary studies and 68 effect sizes, the results reveal a statistically significant positive effect of accelerator participation. The study identifies key moderating factors, such as program duration, cohort size, sponsorship type, and regional context, which significantly influence venture outcomes. Additionally, the analysis highlights the presence selection biases within accelerator programs. This paper contributes to the theoretical understanding of accelerators by offering insights into their role in enhancing financial and operational dimensions of new venture performance. The findings provide valuable implications for both scholars and practitioners, laying the groundwork for future research on accelerator design and effectiveness.

The Journal of Technology TransferVol. 51(1)
University of Augsburg (DE), Bauhaus-Universität Weimar (DE)
Bauhaus-Universität Weimar
Openalex Percentile: Top 1%
Private Equity and Venture Capital
15.64
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