Sensing the Future: A Design Framework for Context-Aware Predictive Systems

Sensors embedded in smart objects, machines, and buildings produce ever-growing streams of contextual data that convey information interest about their operating environment. Although an increasing number industries have embraced the utilization sensors routine operations, no clear framework is available to guide designers who aim leverage collected from these develop predictive systems. In this paper, we applied design science research methodology evaluate a general can help build systems utilizing sensor data. Specifically, developed for designing context-aware (CAPS). We then evaluated through its application MAN Diesel & Turbo, which served as case company. The be generalized into class demand-forecasting problems rely on sensor-generated CAPS unique practitioners make better-informed decisions when