The role of accelerators in enhancing the performance of born-digital healthcare platforms

Abstract

Purpose – This study examines the role of accelerators in the performance of born-digital health platform startups. Specifically, we investigate whether accelerators, including both domain-specific and general types, provide measurable performance gains in a complex, regulated and prone to rapid change healthcare environment. Design/methodology/approach – Drawing on data from 235 born-digital health platform startups funded between 2010 and 2021, we use a two-step methodology. First, we evaluate performance with the benefit of the doubt composite indicator method. Second, we assess accelerator impact through a quasi-experimental approach employing propensity score matching to examine differences between domain-specific and general accelerator impacts. Findings – Contrary to prevailing assumptions, our analysis indicates that non-accelerated startups tend to outperform those that have engaged in accelerator programs. Moreover, domain-specific accelerators do not offer a significant advantage over general ones. These results suggest that startup performance may be more closely linked to inherent capabilities and sector-specific challenges, such as regulatory complexity, rather than to external support from accelerators. Originality/value – This paper addresses a critical research gap by differentiating the effects of various accelerator types in the digital health sector. The findings challenge traditional views on accelerator effectiveness and offer new insights that can inform more targeted support strategies in healthcare entrepreneurship.