The entrepreneurial ecosystem of Guadalajara, Jalisco, Mexico: Its technology-based and fast-growing startups and entrepreneurial-employees

Authors

  • Maria Isabel Rivera Vargas Social & Legal Sciences Department, University of Guadalajara, Jalisco, México
  • Adrián de León Arias Centro de Innovación para el Aceleramiento del Desarrollo Económico y Social, University of Guadalajara, Jalisco, México

DOI:

https://doi.org/10.4067/S0718-27242022000400090

Keywords:

entrepreneurship, innovation, entrepreneurial-employees, productive entrepreneurship, entrepreneurial ecosystem, deep technology sectors.

Abstract

The purpose of this article is analyse the Entrepreneurial Ecosystem of Guadalajara Jalisco, México (EEZMG) through its technology-based, fast growing startups and ‘entrepreneurial-employees’, their growth dynamics and interactions as well as  to explore the factors that impact their growth, and discover the policies or programs that have the greatest effect on their development. Therefore,  using as analytical framework the ‘Entrepreneurial Ecosystem Model’ proposed by Stam (2015) this research applied a mixed research method through in depth  and semi structured interviews to entrepreneurs,  key informants, and  influencers. The study has confirmed the hypothesis of ‘entrepreneurial-employees’ and its ambition about job creation that previous research has predicted. Moreover, the study shows that both the ‘institutional framework’ and the ‘systemic conditions’  have created a ‘productive entrepreneurship’ promoting  ‘value creation’ and furthermore, the entrepreneurs have capacities to develop, globalize and strengthen the ecosystem. After the conclusions, the study  provides some implications for policy design and  cumulative development of entrepreneurial ecosystems.  

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Published

2022-12-27

How to Cite

Rivera Vargas, M. I. ., & Arias, A. de L. . (2022). The entrepreneurial ecosystem of Guadalajara, Jalisco, Mexico: Its technology-based and fast-growing startups and entrepreneurial-employees . Journal of Technology Management & Innovation, 17(4), 90–105. https://doi.org/10.4067/S0718-27242022000400090

Issue

Section

Case Studies

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