The Impact of Internet of Things for Real – Time Data in Warehouse Operations (Published)
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
E-Supply Chain Management Practices and Operational Performance of Hospitals of Kiambu County in Kenya (Published)
Health care supply chain management is vital to ensure good service to patients in a cost-optimized manner. In Kenya inadequacies and inefficiencies such: chronic stock outs of medicine, pilferage of medicine in public hospitals, expired stocks, late deliveries, lengthy periods during treatment; plague the Health Care supply chain system. This study examined the effect of E-supply chain practices on operational efficiency of hospitals in the County of Kiambu in Kenya, in a survey of 39 hospitals. The study revealed that adoption of the hospital management information system; Electronic procurement; and E-logistics practices; significantly and positively affects operational performance. The study observes that most public hospitals have not adopted E-supply chain practices; and avers this could explain the challenges facing public hospitals such as long queues, pilferage and long queues in public hospitals. The study recommends adoption of E-supply chain Practices; and invites researchers to examine the shallow adoption of E-supply chain practices in Public Hospitals.
Keywords: E-Procurement, E-supply chain practices, Operational Performance, health care supply chain