Algorith for characterizing innovation agents in Mexico city

Authors

  • Brenda García-Jarquín Instituto Politécnico Nacional. ESIMEZ-SEPI. Ciudad de México, México
  • Mario Aguilar-Fernández Instituto Politécnico Nacional. UPIICSA- SEPI. Ciudad de México, México
  • Graciela Salgado-Escobar Instituto Politécnico Nacional. UPIICSA-DEPG. Ciudad de México, México

DOI:

https://doi.org/10.5377/nexo.v35i03.14996

Keywords:

Algorithm, characterization, technological innovation, fractals theory, México

Abstract

Innovation and technological change are the engine of national competitiveness, economic development, and long-term growth. In this document, a system dynamics model was constructed to generate three time series index futures innovation (2014-2024) in Mexican firms: products, processes, and products-processes. The results indicate the existence of dynamic scaling behavior ansatz from Family-Viscek to roughness kinetics for a moving interface. Therefore, it is expected that the dynamics of innovation rates of manufacturing firms in the Mexico City and Mexico, is described and predicted by the standard Langevin equation. This can be a strong support for the Mexican government authorities are better able to analyze the impact of innovation policies, both locally and nationally.

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Published

2022-09-30

How to Cite

García-Jarquín , B. ., Aguilar-Fernández, M. ., & Salgado-Escobar, G. . (2022). Algorith for characterizing innovation agents in Mexico city. Nexo Scientific Journal, 35(03), 685–699. https://doi.org/10.5377/nexo.v35i03.14996

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