The Impact of IoT on Supply Chain Intelligence and Financial Analytics (Published)
The Internet of Things (IoT) has emerged as a transformative force in contemporary supply chain management and financial analytics, creating unprecedented opportunities for data-driven decision-making across the entire enterprise ecosystem. This article examines how IoT sensors and connected devices facilitate enhanced visibility through real-time monitoring of assets, inventory, and processes throughout the supply chain, enabling organizations to track products with precision and respond proactively to emerging issues. The article explores how IoT implementation revolutionizes inventory management, predictive maintenance, and asset optimization while simultaneously enhancing financial analytics through more accurate performance metrics, improved cash flow management, and sophisticated predictive capabilities. Despite the compelling benefits, the evaluation acknowledges significant implementation challenges related to data volume, infrastructure requirements, system integration, and security considerations. Looking forward, the article examines how the integration of artificial intelligence with IoT technologies represents the next evolutionary frontier, enabling autonomous analysis, decision-making, and adaptive optimization in response to changing operational conditions.
Keywords: Supply Chain Visibility, artificial intelligence integration, financial analytics, inventory optimization, predictive maintenance
Supply Chain Visibility, Supply Chain Velocity, Supply Chain Alignment And Humanitarian Supply Chain Relief Agility (Published)
The research aimed at examining the relationships between supply chain visibility, supply chain velocity, supply chain alignment and supply chain relief agility using a case of humanitarian agencies in responding to Bududa Land Slide disasters in Eastern Uganda. The study was motivated by the fact that although several humanitarian agencies responded by delivering aid to those in need during the aftermath of Bududa landslides in 2010, their humanitarian supply chains were not fast and agile enough to respond to the sudden onset disaster. A cross sectional data was collected from a sample of sixteen (16) humanitarian agencies that were involved in responding to landslide disasters in Bududa district in Eastern Uganda region. A total of 135 usable questionnaires were collected which were used for data analysis. The results indicate significant positive relationships between supply chain visibility, supply chain velocity, supply chain alignment and supply chain relief agility. Findings also revealed that supply chain visibility and supply chain alignment are significant predictors of humanitarian supply chain relief agility. The study has both practical and theoretical implications which are discussed.
Keywords: Humanitarian Agencies, Supply Chain Alignment, Supply Chain Relief Agility, Supply Chain Velocity, Supply Chain Visibility