This whitepaper explores the hypothesis that organizational decision biases such as risk aversion, conformity, and escalation of commitment can be mapped and predicted using dopamine-based neuroeconomic models. Integrating findings from neuroscience, organizational psychology, and computational decision-making, we propose a framework that simulates how reward-related neurotransmitter fluctuations influence collective judgment under uncertainty. A case simulation involving corporate merger decisions is presented to test the predictive power of the model. The paper provides both theoretical insights and a practical roadmap for real-time bias diagnostics in organizational systems.