Development of A Methodology Through Genetic Algorithmst Suggest the Probability of Success of a MSME in Mexico
Israel Patiño-Galvan, José Alberto Hernández-Aguilar, Stella Vallejo-Trujillo

The economic development of the regions depends on several factors, including the living conditions of the population, the economic potential of the region, a favorable context for sustainable development, among others. In this sense, the Micro, Small and Medium Enterprises (MSMEs) are a strategic factor to collaborate with this development, since it concentrates more than 66% of the workforce, 45% of the gross income of the country, and represents around 99% of the total economic units in Mexico(INEGI, 2018). Added to this, conforms the intellectual capital of entrepreneurs in the country, which demands opportunities and alternatives to channel creativity and innovation to create new MSMEs, which can be a source of income, employment, taxes and revival of the economy. However, these initiatives require tools, information, advice and funding sources to support decision making and reduce the risk of failure. Based on the integration of INEGI information, business plan indicators and socioeconomic indicators, a methodology that uses genetic algorithms was developed to suggest the probability of success of a MSME in Mexico

Full Text: PDF     DOI: 10.15640/jsbed.v9n2a4