Startup accelerators have become key players in entrepreneurial finance, yet their effectiveness in securing follow-on funding for startups varies considerably. This thesis investigates how specific accelerator characteristics influence the funding outcomes of startups post-acceleration, focusing on three dimensions: likelihood of funding occurrence, total funding amount, and funding speed. The study utilizes a dataset of 647 startups from 18 accelerator programs within South Holland, The Netherlands. These data were collected from the Dealroom database. This research employs quantitative analysis, to test hypotheses derived from resource-based view theory.....