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Recent Developments in Decision Support Systems

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Clyde W. Holsapple

    1. University of Kentucky, Lexington, USA

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  2. Andrew B. Whinston

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

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 101)

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
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  2. DSS Foundations

    1. Front Matter

      Pages 1-1
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    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
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Keywords

About this book

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.

Editors and Affiliations

  • 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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