A structured review of start-up accelerator performance measurement: an integrated entrepreneurial program evaluation approach

Abstract

ABSTRACT As a distinct type of early-stage entrepreneurial support organization, start-up accelerators are theoretically well positioned as a new and burgeoning phenomenon for fostering the process of new venture creation. The rapid expansion and notoriety of these intermediaries combined with a growing list of well-known high growth companies emerging from their programs hints at their potential impact. Yet, the question of whether accelerators work (or not) and to what effect is still at a formative stage. The objective of this paper is to conduct a structured review of what accelerators ‘do’ and how scholars have chosen to measure performance across various research designs, change variables and multiple levels of analysis. Drawing from program evaluation theory, an integrated entrepreneurial logic model is used to capture and sort variables associated with measuring start up accelerator performance between 2011 and 2021. We make several contributions through our analysis of research designs, linked change variables and thematic areas to provide insight into the advances, gaps, limitations and tensions arising from extant scholarly attempts at SA performance measurement. The developmental impact of SA programs is discussed with methodological, theoretical, and practical implications for documenting progress and future research pathways charted.