Introduction We seem to be on the verge of another “era” in the relentless advancement of computer based information systems in organizations. Designated by the term Decision Support Systems (DSS), these systems are receiving reactions ranging from “a major breakthrough” to “just another ‘buzz word’.” One view is that the natural evolutionary advancement of information technology and its use in...

The aim of this paper is to assess the state-of-the-art in the Decision Support Systems field from both a research and a practice perspective. Three main dimensions of DSS research and practice are addressed: 1) supporting human decision-making processes, 2) integrating DSS into the organizational context, and 3) identifying new application domains. The related analysis and discussion provides ...

Decision Support System (DSS) are interactive software systems that are built to assist the management of an organization in the decision making process when faced with nonroutine problems in a specific application domain. Non-functional requirements (NFRs) for a DSS deal with the desirable qualities and restrictions that the DSS functionalities must satisfy. Unlike the functional requirements,...

An important focus in current research on decision support systems (DSS) is the design of flexible environments to facilitate and support learning about the problem domain by the user. This research uses case-based reasoning to present a symbiotic DSS in which both the user and the DSS learn from each other. The user learns from the DSS (from stored prior problem solutions) and the system learn...

BACKGROUND Translating scientific evidence into daily practice is problematic. All kinds of intervention strategies, using educational and/or directive strategies, aimed at modifying behavior, have evolved, but have been found only partially successful. In this article the focus is on (computerized) decision support systems (DSSs). DSSs intervene in physicians' daily routine, as opposed to inte...

In this paper, a multi-perspective decision support system (MP-DSS)‎ ‎to design hierarchical public transportation network is developed‎. ‎Since this problem depends on different perspectives‎, ‎MP-DSS consists of two sub-systems with macro and micro sub-systems based on travel information‎, ‎land use and expert knowledge‎. ‎In the micro sub-system‎, ‎two sub-modules are developed considering o...

Progress in decision support systems comes in a variety of forms. These include increased understanding of the organizational consequences of machine-mediated decision making, improved knowledge regarding how to implement DSSs (decision support systems), advances in techniques for managing and maintaining DSSs, and improvements in DSS technology that result in enhanced functionality or reductio...

This study extends previous studies, which examined the intellectual structure, major themes, and reference disciplines of decision support systems (DSS) over the last two decades (1970-1995). Factor analysis of an author cocitation matrix over the period of 1995 through 1999 extracted five major areas of DSS research (group support systems, design/foundations, model management, implementation,...

Development and use of remediation technologies for contaminated soils and water progresses at a very fast pace and thus a large number of cleanup alternatives emerge. The selection of the most appropriate Remediation technology for the given site must be based on many, usually conflicting, criteria. To successfully apply all these criteria a multicriteria decision support system (DSS) is neede...