EVALUACIÓN MULTICRITÉRIO EN LA TOMA DE DECISIONES TECNOLÓGICAS: UNA REVISIÓN SISTEMÁTICA COMPARATIVA ENTRE LOS MODELOS SAPEVO-M Y SAPEVO-H2
Resumen
Este estudio tuvo como objetivo realizar una revisión sistemática de la literatura para comparar la aplicabilidad, características metodológicas y limitaciones de los modelos SAPEVO-M y SAPEVO-H² en el apoyo a la toma de decisiones tecnológicas, buscando comprender cómo estos métodos pueden contribuir a procesos más consistentes y efectivos en escenarios complejos. Se trata de una Revisión Sistemática de la Literatura (RSL), realizada según el protocolo PRISMA 2020, con búsquedas en las bases de datos Scopus, ScienceDirect e IEEE Xplore. El análisis, de carácter cualitativo y comparativo. Se seleccionaron 15 estudios. Los resultados revelan el predominio de SAPEVO-M, aplicado en contextos empresariales y sectoriales, como evaluación de proveedores, desempeño de empleados, logística inversa, salud y agricultura, demostrando flexibilidad metodológica y aplicabilidad práctica. Varios estudios también han explorado versiones híbridas del modelo, asociándolo a métodos como FAHP, TOPSIS y PROMETHEE, lo que refuerza su versatilidad. SAPEVO-H² apareció en sólo tres publicaciones, todas ellas vinculadas al mismo grupo de investigación, lo que sugiere una etapa inicial de difusión. A pesar de la baja representación, mostró potencial para tomar decisiones altamente complejas, especialmente en políticas públicas y defensa nacional, al estructurar múltiples niveles jerárquicos e integrar diferentes escalas de decisión. Se concluye que los modelos de la familia SAPEVO representan herramientas prometedoras en el campo de la toma de decisiones multicriterio, pero se encuentran en diferentes etapas de madurez. Si bien SAPEVO-M ya está consolidado en aplicaciones prácticas, SAPEVO-H² requiere una mayor exploración empírica.
Biografía del autor/a
Department of Materials and Metallurgical Engineering of the Polythecnical School of the University of São Paulo. São Paulo – SP, Brazil.
Department of Industrial Engineering of Fluminense Federal University. Rio de Janeiro – RJ, Brazil.
Department of Industrial Engineering of Fluminense Federal University. Rio de Janeiro – RJ, Brazil.
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