Management

The boundaries of the dissertation are presented in this section, as well as recommendations for future research. Acknowledging limitations is…

This section discusses the academic and practical implications of the empirical findings presented in Chapter 4. The aim is to…

Are corporate accelerators springboards for startups? This section summarises the main empirical results of the dissertation and connects them back…

This section synthesizes the statistical results presented in Chapter 4 and interprets them to assess whether corporate accelerators—specifically Google and…

This section outlines the conceptual framework to give an understanding of the performance analysis of startups accelerated by Google and…

This section explores binary indicators of results from corporate accelerators for startups to complement the funding-based evaluations from previous sections,…

This section presents a lineal regression analysis for corporate accelerator performance, focusing on funding outcomes (i.e. measurable results) in the period…

This section presents the ANOVA Analysis for corporate accelerator performance, comparing the funding and investment into startups accelerated by Google and Microsoft, as a…

Before evaluating whether corporate accelerators act as springboards or sand traps for startup performance, it is important to explore the…

This section clarifies the analytical role of each variable used in the evaluation of Google and Microsoft corporate accelerator programs…

The effectiveness of this study depends largely on the quality and relevance of its data. Since the goal of this…

This section outlines the research design of the dissertation titled “Are corporate accelerators springboards for startups: a performance analysis of Microsoft’s…