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Titlebook: Recent Developments in Decision Support Systems; Clyde W. Holsapple,Andrew B. Whinston Conference proceedings 1993 Springer-Verlag Berlin

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Framework for DSS Interface Developmentpirit of research into user-interface management systems, we advance a three-fold scheme for interface development that partitions the effort into interface, event, and functionality development tasks. In the context of this perspective, we introduce a mechanism called graphic structure editor inter
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User Interface Development and Decision Support Systemsarch that has been quite successfully applied to DSS. The paper focuses on techniques for implementing user interfaces, in particular, ., which have the potential to allow much faster development of sophisticated user interfaces for DSS.
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The Use of Domain Information and Higher Order Logic for Model Managementels are poorly documented. This makes it difficult for them to be modified or (re)used by others. Two key factors hindering model construction are the fact that tools do not cater for how users think about their problems [large conceptual distance], and the vast modelling search space. For some clas
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Knowledge Acquisition: Recent Theoretic and Empirical Developmentsrt system field, which can be seen as crucial contributor to artificially intelligent decision support systems. In a broader sense, KA is likely to become a significant topic for the more general field of decision support systems. On the theory side, selection-oriented and variable-oriented framewor
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New Architectures for WISIWYSWIWSWYS (What I See Is What You See When I Want to See What You See) this theory, an architecture is developed for GDSS which extends the concept of What You See Is What I See (WYSIWIS) to the concept of What I See Is What You See When You See What I Want You to See What You See (WISIWYSWIWSWYS) which is more appropriate for international GDSS, as well as other mult
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Empirical Research in Managerial Support Systems: A Review and Assessmentcision support systems, group decision support systems, and expert systems. These are collectively labelled as managerial support systems (MSS). A classification scheme to organize empirical research in MSS is proposed. An overview of empirical work on two major research themes, namely MSS “design”
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