A QUANTITATIVE STUDY ON ERP-INTEGRATED DECISION SUPPORT SYSTEMS IN HEALTHCARE LOGISTICS

Abstract

The study titled A Quantitative Study on ERP-Integrated Decision Support Systems in Healthcare Logistics examined the measurable effects of Enterprise Resource Planning (ERP) and Decision Support System (DSS) integration on operational efficiency, data quality, and analytical accuracy within healthcare logistics environments. Grounded in empirical inquiry, this research employed a cross-sectional quantitative design that combined survey-based responses and institutional logistics performance metrics collected from 30 hospitals and 500 respondents. The analytical framework incorporated hierarchical multiple regression and structural equation modelling (SEM) to evaluate both direct and indirect relationships among ERP-DSS integration, data quality, analytics accuracy, training effectiveness, interoperability, and key logistics performance indicators such as order fulfilment accuracy, procurement cycle time, cost control, and service continuity. A total of 126 peer-reviewed journal articles and empirical studies published between 2010 and 2025 were systematically reviewed to construct the theoretical foundation and operational model of this research. The analysis revealed that ERP-DSS integration was a statistically significant predictor of logistics efficiency, explaining 41% of the variance independently and up to 62% when mediating and moderating variables were introduced. Data quality and analytics accuracy served as strong mediators, confirming that high-fidelity data and predictive capability were critical channels through which integration influenced performance outcomes. Training effectiveness and system interoperability acted as positive moderators, indicating that well-trained users and technologically aligned systems amplified the operational benefits of ERP-DSS frameworks. The findings demonstrated that institutions with advanced integration achieved measurable gains in decision speed, cost reduction, and supply chain responsiveness. Furthermore, the study validated that ERP-DSS systems transformed healthcare logistics from reactive operational structures into proactive, data-driven ecosystems characterized by transparency, analytical intelligence, and real-time adaptability. The review of 126 earlier studies supported these empirical results, reinforcing the theoretical assertion that ERP-DSS convergence enhances not only logistical coordination but also institutional resilience and service continuity. Overall, the study provided quantitative evidence that ERP-DSS integration represents a critical enabler of strategic digital transformation in healthcare logistics, offering a statistically grounded model for performance optimization, operational agility, and sustainable healthcare supply management.