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.

Highlights

  • A startup ecosystem is defined as a society of founders with ideas and skills, young companies at early stages with talent, incubators with mentors and capital, early adopters and the media

  • This section is devoted to description of the research methodology used in the study for a detailed analysis of the various factors that affect the initial funding of a startup in the metropolitans city in the country

  • The objective of this paper is to identify the factor that influence the initial funding of a startup and with the help of the identified factor to build a regression model which predict the funding of a startup based on the identified factor

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Summary

Introduction

A startup ecosystem is defined as a society of founders with ideas and skills, young companies at early stages with talent, incubators with mentors and capital, early adopters and the media. These elements or entities link, interact and assist each other, strengthening the ecosystem while increasing their own value (Kuratko DF & Rao TV, 2012). These stakeholders are Members, Startups and Service Providers Members are such as Entrepreneurs, private investors and advisors. Service providers are such as B2B (Business to Business) product & service providers, funding providers, entrepreneurial associations, knowledge institutions, and government agencies. Technology based entrepreneurship leading to rapid creation of tech start-ups is assuming increasing attention worldwide (Bala Subrahmanya, 2015)

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