User-oriented criteria for the selection of DSS software
Communications of the ACM
DSS design: a systemic view of decision support
Communications of the ACM
Decision support system effectiveness: a review and an empirical test
Management Science
Evolutionary development of decision support systems: important issues for early phases of design
Journal of Management Information Systems
Knowledge systems for business: integrating expert systems & MIS
Knowledge systems for business: integrating expert systems & MIS
Developing decision support systems from a model of the DSS/user interface
Knowledge based management support systems
The New Science of Management Decision
The New Science of Management Decision
Building Effective Decision Support Systems
Building Effective Decision Support Systems
Design of decision support systems
ACM SIGMIS Database - Selected papers on decision support systems from the 13th Hawaii International Conference on System Sciences
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Decision Support Systems (DSS) are now an established part of the information systems mainstream, both in research and in practice. The DSS development approach differs from traditional systems development not only with regard to its associated paradigms and orientation, but also in the methods of requirements analysis it employs. This paper surveys the major methodologies used for DSS development. It analyzes them by structure, paradigm, and orientation, and discusses their underlying assumptions. A research model is then developed and used to relate the functions of DSS methodology to decision-making environments and the relevant processes within them. Finally, a contingency theory is presented to show how each of the surveyed methodologies reduces the lack of structure in the decision-making environment, and how this may be used by DSS developers for selecting a DSS methodology. Other components of the research model are discussed, to identify further prerequisites for improved understanding of the DSS role and application.