Science Technology Parks and Close Relations: Heterogeneity, Context and Data

Corporate accelerators: design and startup performance

“…Second, other studies focus on the services accelerators perform and the value they create. While there is a common understanding among academics that accelerators positively affect startup performance (Goswami et al, 2018;Wright & Westhead, 2019;Yu, 2020), empirical evidence about their benefits is inconsistent (Chan et al, 2020). Specifically, our understanding of how the various accelerator types work and what outcomes they produce across different designs and organizational contexts remains poor (Nogueira, 2022;Crișan et al, 2021).…”

“…3.1 The role of specialization Colombo et al stressed the need to analyze "[…] the choice between a generalist and a specialized programs with a focus on specific technologies or industries" (2018, p. 195). Wright and Westhead (2019) detected considerable heterogeneity in whether and to what degree a particular program is specialized or generic in the sense that it allows for startups from various technological or industrial backgrounds.…”

“…A key focus of our within-and cross-analyses was to identify and measure core differences across CAs' design choices. Previous research has stressed the importance of geography and the institutional context for explaining entrepreneurship growth (e.g., Wright & Westhead, 2019;Rice & Noyes, 2021;Wurth et al, 2022). Therefore, much of the variability in the success of startups across countries stems from the institutional context and the quality of the entrepreneurship ecosystems (Stam & Welter, 2020), including a broad range of both "soft" factors, such as local cultures Mellander & Florida, 2021), and "hard-driven" factors, such as infrastructure, taxes, business regulations, local industries, and vital markets for venture capital (Cherubini Alves et al, 2021;Audretsch & Belitski, 2021).…”

“…Understanding how to effectively balance these divergent interests and identify critical structural design configurations is essential to optimize the outcomes of CA programs. Such design configurations encompass aspects such as program structure, governance, network partners, mentors, and the integration of CAs into local entrepreneurship ecosystems (Cohen et al, 2019;Gutmann et al, 2020;Brown et al, 2019;Wright and Westhead 2019;Mahmoud-Jouini et al, 2018;Vandeweghe and Fu, 2018).…”