Hope Is Not a Strategy: Behavioral Bias and Decision Quality in Large-Scale Capital Programs

Large-scale capital programs frequently underperform against cost, schedule, and risk expectations despite advances in technical planning and project controls. While traditional explanations emphasize structural and operational challenges, this research examines the behavioral drivers that influence decision-making in these environments. Grounded in behavioral economics, this study explores how cognitive biases—specifically optimism bias, loss aversion, and sunk cost fallacy—shape decision-making under conditions of uncertainty, complexity, and organizational pressure. Drawing on a practice-based case study of the City of Atlanta, the research identifies recurring decision patterns and examines their relevance in large-scale capital program environments. Findings demonstrate that decision-making distortions are systematic rather than incidental, influencing both the timing and quality of decisions across program phases. The study introduces a Behaviorally Informed Decision Framework that illustrates how bias manifests at key decision points and provides practical mechanisms for improving decision discipline. This research contributes to engaged management scholarship by bridging behavioral theory and executive practice, offering a transferable framework for improving decision quality and performance outcomes in complex, capital-intensive environments.