Relaciones entre factores y actores del ecosistema de emprendimiento de Lima: un estudio exploratorio
Date
2023-10-02
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Pontificia Universidad Católica del Perú
Abstract
El Perú ha hecho importantes esfuerzos para promover el surgimiento, el
crecimiento y el desarrollo de startups. Sin embargo, la calidad y cantidad de
startups peruanas está detrás de la de países vecinos como Chile y Colombia,
cuyos ecosistemas de emprendimiento son más favorables.
La investigación sobre tales ecosistemas no ha llegado a un consenso
sobre las relaciones entre los factores y actores impulsores del crecimiento y
desarrollo de startups, por ser un fenómeno complejo, reciente y poco abordado
especialmente en economías emergentes como la del Perú. Además, dada su
heterogeneidad y especificidad, es necesario estudiarlos particularmente.
Con el propósito de identificar las brechas que dificultan el crecimiento de
startups se explorarán las relaciones entre los facilitadores e inhibidores del
crecimiento y desarrollo de startups, y el desempeño de los actores del
ecosistema de emprendimiento en Lima. Para ello, se llevó a cabo un estudio
exploratorio de carácter cuantitativo explicativo validado por un modelamiento de
ecuaciones estructurales basado en las varianzas o partial least squares (PLSSEM).
Los resultados en el modelo estructural de orden superior mostraron
únicamente al factor facilitador, con una influencia positiva y estadísticamente
significativa sobre el desempeño de los actores del ecosistema. El análisis
importancia-rendimiento de los facilitadores sociales mostró alta importancia,
pero bajo nivel de rendimiento, por lo cual podrían ser intervenidos para mejorar
su impacto.
Peru has made important efforts to promote the emergence, growth and development of startups. However, the quality and quantity of Peruvian startups is behind neighboring countries such as Chile and Colombia, whose entrepreneurial ecosystems are more favorable. Research on such ecosystems has not reached a consensus on the relationships between the factors and actors driving the growth and development of startups, as it is a complex, recent and insufficiently addressed phenomenon, especially in emerging economies such as Peru. In addition, given their heterogeneity and specificity, it is necessary to study them particularly. In order to identify the gaps that hinder the growth of startups, we explore the relationships between the facilitators and inhibitors of the growth and development of startups, and the performance of the actors of the entrepreneurship ecosystem in Lima. For this, an exploratory study of a quantitative explanatory nature validated by a modeling of structural structures based on the variances or partial least squares (PLS-SEM) was carried out. The results in the higher order structural model showed only the facilitating factor, with a positive and statistically significant influence on the performance of the ecosystem actors. The importance-performance analysis of social facilitators showed high importance but low level of performance, which is why they must be intervened to improve their impact.
Peru has made important efforts to promote the emergence, growth and development of startups. However, the quality and quantity of Peruvian startups is behind neighboring countries such as Chile and Colombia, whose entrepreneurial ecosystems are more favorable. Research on such ecosystems has not reached a consensus on the relationships between the factors and actors driving the growth and development of startups, as it is a complex, recent and insufficiently addressed phenomenon, especially in emerging economies such as Peru. In addition, given their heterogeneity and specificity, it is necessary to study them particularly. In order to identify the gaps that hinder the growth of startups, we explore the relationships between the facilitators and inhibitors of the growth and development of startups, and the performance of the actors of the entrepreneurship ecosystem in Lima. For this, an exploratory study of a quantitative explanatory nature validated by a modeling of structural structures based on the variances or partial least squares (PLS-SEM) was carried out. The results in the higher order structural model showed only the facilitating factor, with a positive and statistically significant influence on the performance of the ecosystem actors. The importance-performance analysis of social facilitators showed high importance but low level of performance, which is why they must be intervened to improve their impact.
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Keywords
Nuevas empresas--Perú, Emprendimiento (Administración)--Perú, Pequeñas empresas--Crecimiento--Perú
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