El término «bootstrapping» se originó en una frase que se usaba en los siglos XVIII y XIX: «reponerse gracias a sus propios esfuerzos». En aquel entonces, esta tarea se consideraba imposible. En la actualidad, se refiere al desafío de crear algo a partir de la nada. Una compañía «bootstrapped» es aquella que se ha iniciado y expandido únicamente mediante los recursos personales de los emprendedores y los ingresos generados por la compañía.

Bootstrapping is a widely used statistical technique in scientific research and data analysis to obtain precise estimates of statistical parameters and evaluate their uncertainty. In this process, multiple random samples with replacement are generated from a single data sample and used to calculate statistics of interest, such as mean, median, or standard error. This approach allows avoiding assumptions of underlying distribution and is particularly useful when small samples are available or the distribution of the data is unknown. In this article, we explain in detail what bootstrapping is, how it is carried out, and what its advantages and limitations are.

Ventajas: Las ventajas de «bootstrapping» una compañía son:

  • Maintaining control over the company without external influence from investors.
  • Existing resources reduce the need to spend money on paying back loans.
  • Carefully managing money from the beginning creates intelligent spending habits.

Disadvantages: On the other hand, there are disadvantages to rejecting external injections of money:

  • Business growth may be limited or hindered if demand exceeds the company's capacity to have inventory or materials to sell.
  • The entrepreneur assumes most of the financial risk by not sharing the burden with external investors who contribute money to support the company's growth.
In conclusion

El término «bootstrapping» se refiere a crear algo a partir de la nada, y en el contexto empresarial se refiere a empresas que se han iniciado y expandido únicamente con los recursos personales de los emprendedores y los ingresos generados por la compañía. En la estadística, el bootstrapping es una técnica utilizada en la investigación científica y el análisis de datos para obtener estimaciones precisas de los parámetros estadísticos y evaluar su incertidumbre.

Multiple random samples with replacement are generated from a single data sample and used to calculate statistics of interest. The advantages of business bootstrapping include control over the company, a reduction in the need to spend money on paying loans, and the creation of intelligent spending habits. However, the disadvantages include limitations on business growth and the assumption of financial risk by the entrepreneur.

 

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References

https://akademiun.com | https://avacum.com | https://hbr.org

Casos de estudio

Bootstrap Finance: The Art of Start-ups | Why Every Startup Should Bootstrap