Inteligencia Artificial en decisiones de inversión en Activos Fijos para PYMES manufactureras: caso región Junín

Objective. To know the relevant factors with applied artificial intelligence that managers consider when making investment decisions in fixed assets in small industries in the Junín Region. Method. Quantitative, applied, non-experimental research; with a transectional, descriptive design. Population 102 managers, sample size 80, the selection of the sample was through the stratified probability sampling technique and the amphora technique for each stratum. Data collection was done through the survey technique and a questionnaire of questions as an instrument. Results. From the relationship analysis of the fixed asset investment decision making variable with the relevant factors, statistically only 9 factors are related. The logistic regression analysis through iterative processes presents only 3 factors as relevant. Conclusion. The findings of the study show that the relevant factors that managers consider when making investment decisions are: the payback period of the investment, political uncertainty, and information on government regulations and policies.