Recent Developments in Decision Support Systems

1. Front Matter

   Pages I-XI

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2. DSS Foundations

   1. Front Matter

      Pages 1-1

      PDF

   2. Challenges for Information Systems: Representation, Modeling, and Metaknowledge

      • R. Michalski, F. J. Radermacher

      Pages 3-22

   3. Information Systems to Support Decision Processes: From decision support to networks of inquiry systems

      • Henk G. Sol, Pieter W. G. Bots

      Pages 23-34

   4. The Use of Qualitative and Causal Reasoning in Analytical Review Procedures

      • Melody Yihwa Kiang, Andrew D. Bailey Jr., Benjamin Kuipers, Andrew B. Whinston

      Pages 35-51

   5. Finite Domain Constraint Problems and their Relationship with Logic Programming

      • Ugo Montanari, Francesca Rossi

      Pages 53-71

   6. SEMLOG: A Multiparadigm Language for Conceptual Modeling

      • Ryan D. Stansifer, Chul Y. Jung, Andrew B. Whinston

      Pages 73-100

   7. Negotiation Modelling and Support: Expanding the DSS Paradigm

      • Gregory E. Kersten, Wojtek Michalowski

      Pages 101-131

   8. Framework for DSS Interface Development

      • C. W. Holsapple, S. Park, A. B. Whinston

      Pages 133-177

3. DSS Development

   1. Front Matter

      Pages 179-179

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   2. User Interface Development and Decision Support Systems

      • Christopher V. Jones

      Pages 181-209

   3. Expert Modelbase Systems: Research Directions

      • Robert W. Blanning

      Pages 211-244

   4. The Use of Domain Information and Higher Order Logic for Model Management

      • Michael F. Uschold

      Pages 245-274

   5. Reusing Mathematical Models in ASCEND

      • Ramayya Krishnan, Peter Piela, Arthur Westerberg

      Pages 275-293

   6. Knowledge Acquisition: Recent Theoretic and Empirical Developments

      • Clyde W. Holsapple, Victor Raj, William Wagner

      Pages 295-312

   7. Computer-Aided Decision Support Engineering

      • K. B. C. Saxena

      Pages 313-335

   8. Research Issues for Second Generation Knowledge Based DSS

      • Michel Klein

      Pages 337-359

   9. New Architectures for WISIWYSWIWSWYS (What I See Is What You See When I Want to See What You See)

      • Michael Wolfe

      Pages 361-379

4. DSS Evaluations and Impacts

   1. Front Matter

      Pages 381-381

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   2. Empirical Research in Managerial Support Systems: A Review and Assessment

      • Izak Benbasat, Gerardine DeSanctis, Barrie R. Nault

      Pages 383-437

Over the past two decades, many advances have been made in the decision support system (DSS) field. They range from progress in fundamental concepts, to improved techniques and methods, to widespread use of commercial software for DSS development. Still, the depth and breadth of the DSS field continues to grow, fueled by the need to better support decision making in a world that is increasingly complex in terms of volume, diversity, and interconnectedness of the knowledge on which decisions can be based. This continuing growth is facilitated by increasing computer power and decreasing per-unit computing costs. But, it is spearheaded by the multifaceted efforts of DSS researchers. The collective work of these researchers runs from the speculative to the normative to the descriptive. It includes analysis of what the field needs, designs of means for meeting recognized needs, and implementations for study. It encompasses theoretical, empirical, and applied orientations. It is concerned with the invention of concepts, frameworks, models, and languages for giving varied, helpful perspectives. It involves the discovery of principles, methods, and techniques for expeditious construction of successful DSSs. It aims to create computer-based tools that facilitate DSS development. It assesses DSS efficacy by observing systems, their developers, and their users. This growing body of research continues to be fleshed out and take shape on a strong, but still-developing, skeletal foundation.

• Betriebsinformatik
• Entscheidungsunterstützende Systeme
• Informationssysteme
• Operations Research
• business information systems
• decision support systems
• linear optimization
• management science
• tools

• University of Kentucky, Lexington, USA

  Clyde W. Holsapple

• Department of Management Science and Information Systems, CBA 5.202, Graduate School of Business, University of Texas at Austin, Austin, USA

  Andrew B. Whinston

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