Una teoría multidimensional de las emociones: marco predictivo para la toma de decisiones en mercados y sistemas sociales
DOI:
https://doi.org/10.70980/teclemas.v2n1.2025.11Keywords:
toma de decisiones, emociones, sistemas sociales, investigación de mercados, modelos contemporáneosAbstract
Los modelos contemporáneos de la emoción en las ciencias del comportamiento suelen apoyarse en clasificaciones categoriales o dimensionales que aíslan las emociones como fenómenos discretos o escalares. Si bien estos enfoques han generado aportes relevantes, presentan limitaciones sustantivas para predecir la toma de decisiones en contextos complejos y reales. Este artículo presenta un marco conceptual novedoso que reconceptualiza las emociones como sistemas dinámicos y multinivel que operan de manera simultánea a través de distintos niveles funcionales de la cognición humana.
A través de un diseño cualitativo basado en la Teoría Fundamentada sistemática, se analiza cómo la experiencia emocional emerge de la interacción entre sistemas instintivos, socioemocionales y analíticos, cada uno regido por lógicas y tendencias de acción diferentes. El marco integra aportes desde la economía conductual y las neurociencias, superando las limitaciones de modelos reduccionistas anteriores. Se muestra cómo esta arquitectura multidimensional ofrece una mejor capacidad para explicar y predecir el comportamiento del consumidor, las decisiones políticas y las dinámicas organizacionales. Al desplazar el foco desde las etiquetas emocionales hacia la matriz relacional estructurada, esta teoría ofrece un paradigma robusto para el análisis anticipatorio y la intervención estratégica en sistemas adaptativos complejos.
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Copyright (c) 2025 Leonardo Correa Flores, Lucia Vega Castro, Byron Quiñonez Lecaro

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