Hybrid decision making is a concept and methodological approach concerned with the integration and synthesis of diverse decision-making paradigms and processes. This research domain investigates frameworks that combine elements such as top-down directives, bottom-up input, consensus-building, and data-driven analysis, frequently incorporating human-machine collaboration, particularly leveraging artificial intelligence and machine learning. Key characteristics involve multi-method integration to address complex and ambiguous situations, aiming for enhanced accuracy, speed, and robustness; its significance lies in bridging the gap between disparate decision-making styles and capabilities to improve outcomes in varied contexts.