Nudge Driven Decision Suite

Abstract

This paper explores the evolution of traditional Decision Support Systems (DSS) toward Nudge-Driven Decision Suites (NDDS), which integrate behavioral economics principles to better support decision-making in cognitively biased environments. A conceptual and analytical approach is adopted, combining a review of existing literature on DSS, digital nudging (DN), and behavioral decision theory, with illustrative case examples highlighting how nudging mechanisms can be embedded in intelligent decision interfaces. The integration of DN into DSS enhances user engagement and improves decision quality by mitigating cognitive biases. NDDS leverage user-centered interfaces, AI-driven personalization, and behavioral triggers to subtly influence choices aligned with organizational objectives, without restricting autonomy. NDDS offer significant potential for both public and private organizations seeking to optimize strategic and operational decisions. Their implementation can lead to smarter decision environments, particularly in digital services, policy design, and complex operational systems. This study proposes a novel framework for NDDS, positioning them as an evolutionary step beyond traditional DSS. It bridges decision science, behavioral economics, and digital design to reimagine how decision support technologies can be made more adaptive, intelligent, and behaviorally aware.