Accelerating emergence: the causal (but contextual) effect of social impact accelerators on nascent for-profit social ventures
Year: 2022
Type: article
Abstract: Given the legitimacy challenges faced by entrepreneurs, gaining access to the resources necessary to create viable new ventures is often difficult. Accordingly, scholars advocate that entrepreneurs align with high-status partners to convey that they are an accepted part of the sociocultural and organizational landscape. Although startup accelerators have been argued to play this supportive role for high-tech, high-growth ventures, it remains unclear whether they are effective at serving the needs of ventures pursuing social missions alongside business structures, or for-profit social ventures (FPSVs). To explore this issue, we examine whether social impact accelerators (SIAs), accelerators specifically designed to support FPSVs, help such ventures make the transition from mere ideas to viable organizations, a process known as emergence. To determine a causal relationship, we employ a quasi-experimental design and adopt propensity score matching with the nearest neighbor matching algorithm to study 7185 startups that applied to 383 accelerators worldwide from 2013 to 2019. By matching accepted startups to a control group of rejected startups, we find that SIAs, on average, facilitate new venture emergence, with accelerated FPSVs raising more external financing, earning more revenues, and hiring more full-time employees than their unaccelerated counterparts. These results hold when controlling for selection bias, thereby providing robust evidence for a causal relationship between acceleration and startup emergence. However, a subsequent subgroup analysis reveals that this causal effect is contingent across a breadth of “who,” “when,” and “where” contexts, highlighting the idiosyncratic differences that different startups face in the acceleration process.
Source: Small Business Economics
Authors: Romi Kher, Shu Yang, Scott L. Newbert
Institutions: Baruch College, City University of New York, Hofstra University
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,890
OpenAlex ID: W4294031612