This study examines the impact of Internet of Things (IoT) technologies on real-time data utilization and warehouse operational performance in Sri Lanka. Using a quantitative approach, data were collected from warehouse professionals across multiple industries. The study evaluates four key IoT dimensions: sensor and device utilization, real-time data collection, predictive capabilities, and data-driven decision-making. Findings reveal that IoT integration significantly enhances warehouse performance, explaining a high proportion of variance in operational outcomes. Among the dimensions, data-driven decision-making emerges as the strongest predictor, highlighting the importance of effectively using IoT-generated data rather than merely adopting technology. Although other factors show strong positive correlations, their individual effects are limited due to multicollinearity. The study contributes to the Resource-Based View by positioning IoT capabilities as strategic assets. It also provides practical insights for managers to prioritize analytics-driven decision-making to achieve greater efficiency, responsiveness, and competitiveness in warehouse operations.
Keywords: Data Driven Decision Making, Internet of Things (IoT), Operational Performance, Supply chain management, real-time data, warehouse operations
