Abstract
In this paper, we develop a novel design artifact to support knowledge-driven predictive and explanatory decision analytics for a complex business process. Following Design Science research guidelines in Hevner et al, (2004), we show the development of the design artifact and evaluate the artifact’s effectiveness in providing intelligent decision support for a complex business process. We present a design artifact that provides predictive and explanatory analytics to support intelligent decision-making. We use a large, automated, continuous manufacturing process as the problem domain where the continual monitoring of the process using knowledge- driven, intelligent tools is useful for process monitoring and quality control problems. This research contributes to design science by explicating a novel artifact with predictive and explanatory features that are useful in intelligent systems design. It provides sophisticated and adaptable intelligent decision support to the problem domain of process control.
Recommended Citation
Singh, Rahul; Redmond, Richard; and Yoon, Victoria, "Design Artifact to Support Knowledge-Driven Predictive and Explanatory Decision Analytics" (2006). ICIS 2006 Proceedings. 9.
https://aisel.aisnet.org/icis2006/9