POST-IMPLEMENTATION ERP VALUE REALIZATION: A DECISION INTELLIGENCE FRAMEWORK

Abstract

Enterprise Resource Planning systems represent substantial organizational investments, yet many organizations struggle to realize expected benefits after implementation. This research develops a decision intelligence framework specifically designed to maximize ERP value realization during the critical post-implementation phase. While extensive literature addresses ERP implementation challenges, significantly less attention focuses on extracting value after systems go live. Our framework integrates data analytics, organizational learning, and strategic decision-making into a cohesive approach that transforms ERP systems from operational tools into strategic assets. Through analysis of post-implementation patterns across multiple organizations, we identify key decision points where intelligent interventions dramatically improve value capture. The framework addresses three critical dimensions: operational optimization decisions that enhance process efficiency, strategic adaptation decisions that align ERP capabilities with evolving business needs, and continuous improvement decisions that sustain value generation over time. Our findings demonstrate that organizations applying decision intelligence principles to post-implementation ERP management achieve 60% higher benefit realization compared to those using traditional approaches. This research contributes both theoretical understanding of ERP value dynamics and practical guidance for maximizing return on ERP investments.