The integration of the Internet of Things and Artificial Intelligence into global supply chains presents significant opportunities for operational optimization. However, the computational intensity of traditional machine learning models frequently undermines corporate sustainability goals, introducing a paradox where digital transformation increases environmental degradation. This paper proposes a cloud-native architectural framework utilizing Amazon Web Services to construct a Green AI pipeline for IoT-enabled circular economies. By deploying distributed Python middleware integrated with highly optimized, serverless inference engines, the proposed system ingests high-frequency logistics telemetry while dynamically minimizing computational energy consumption. Preliminary architectural evaluations demonstrate that decoupling data ingestion from energy-intensive continuous training phases allows organizations to build adaptive dynamic capabilities without sacrificing environmental sustainability. This methodology provides digital business researchers with a deterministic, highly scalable technological foundation for evaluating the intersection of disruptive innovation and Green AI.
Global value chains are increasingly susceptible to systemic disruptions, ranging from geopolitical conflicts to climate anomalies. Traditional supply chain management frameworks rely heavily on reactive mitigation strategies and fragmented, low-velocity data silos, leading to se…
The digitalization of public procurement presents a critical opportunity to enhance governmental efficiency, transparency, and supply chain performance. However, integrating artificial intelligence into public sector contracting is frequently bottlenecked by legacy institutional…
Global supply chains have been subjected to an unprecedented sequence of shocks over the past several years, from the COVID-19 pandemic to geopolitical conflict, trade policy uncertainty, and extreme-weather events, exposing the fragility of lean, just-in-time operating models an…
The efficient allocation of freshwater resources in small catchments represents a critical challenge in environmental economics. While theoretical models propose supply-side water trading and group-level "water clubs" to mitigate resource depletion, the empirical testing of these…
The deployment of Healthcare Digital Twins presents a transformative approach to hospital operations and medical logistics. However, in the context of Disaster e-Health, the cyber-physical infrastructure linking the physical healthcare environment to its digital replica is highly…