Abstract

Entrepreneurial ecosystems are now a days receiving keen attention from the research scholars and corporate practitioners. In this paper studies have focused on the factor affecting an entrepreneurial ecosystem in the metropolitan cities in India; however, prior research has not offered a theory of entrepreneurial ecosystems that predict the initial funding of a startup based on the education, gender and experience of the founder. We contribute to entrepreneurship research by developing a regression model for the funding of a startup, which ultimately help to improve the efficiency of an entrepreneurial ecosystem. Beyond developing the theory, we also describe how scholars can examine entrepreneurial ecosystems as complex systems using quantitative analysis, multiple regressions modeling, and interpretivist methods. This model also provides implications for entrepreneurs and policymakers.

Authors and Affiliations