Recent Developments in Decision Support Systems

  • Clyde W. Holsapple
  • Andrew B. Whinston

Part of the NATO ASI Series book series (volume 101)

Table of contents

  1. Front Matter
    Pages I-XI
  2. DSS Foundations

    1. Front Matter
      Pages 1-1
    2. Melody Yihwa Kiang, Andrew D. Bailey Jr., Benjamin Kuipers, Andrew B. Whinston
      Pages 35-51
    3. Ryan D. Stansifer, Chul Y. Jung, Andrew B. Whinston
      Pages 73-100
    4. Gregory E. Kersten, Wojtek Michalowski
      Pages 101-131
    5. C. W. Holsapple, S. Park, A. B. Whinston
      Pages 133-177
  3. DSS Development

    1. Front Matter
      Pages 179-179
    2. Christopher V. Jones
      Pages 181-209
    3. Robert W. Blanning
      Pages 211-244
    4. Ramayya Krishnan, Peter Piela, Arthur Westerberg
      Pages 275-293
    5. Clyde W. Holsapple, Victor Raj, William Wagner
      Pages 295-312
    6. K. B. C. Saxena
      Pages 313-335
  4. DSS Evaluations and Impacts

    1. Front Matter
      Pages 381-381
    2. Izak Benbasat, Gerardine DeSanctis, Barrie R. Nault
      Pages 383-437
    3. Charles Gardner, James R. Marsden, David E. Pingry
      Pages 439-455
    4. James S. Dyer, M. Keith Wright
      Pages 481-501
  5. DSS Applications

  6. Back Matter
    Pages 615-620

About these proceedings


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

Editors and affiliations

  • Clyde W. Holsapple
    • 1
  • Andrew B. Whinston
    • 2
  1. 1.University of KentuckyLexingtonUSA
  2. 2.Department of Management Science and Information Systems, CBA 5.202, Graduate School of BusinessUniversity of Texas at AustinAustinUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08147-7
  • Online ISBN 978-3-662-02952-7
  • Buy this book on publisher's site