What are the features of a knowledge-driven DSS?
by Dan Power Editor, DSSResources.com This is installment #4 about features of computerized decision support systems. The focus is on knowledge-driven Decision Support Systems (KDSS). The goal is to identify major, observable aspects, attributes or elements from a user’s perspective that distinguish knowledge-driven DSS from other types of DSS (Power, 2002) and from other computerized information systems. In general, a knowledge-driven DSS suggests or recommends actions to targeted users. This type of DSS has specialized problem-solving expertise relevant to a specific narrow task. The “expertise” consists of knowledge about a particular problem domain, understanding of problems within that domain, and “skill” at solving one or some of these problems. The system has subject-specific knowledge of one or more human experts. These systems have also been called advisory systems, consultation systems, suggestion systems (Alter, 1980), knowledge-based systems (Klein and Methlie, 1995), recom
