Co-oP

1. Front Matter

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2. Introduction

   Pages 1-6

3. Definition of terms and context of the design study

   Pages 7-24

4. Review of prior related research: A DSS engineering perspective

   Pages 25-37

5. The functions and roles of DSS in group decision-making

   Pages 39-50

6. Design issues for the GDSS model component

   Pages 51-89

7. Design issues for the GDSS dialogue component

   Pages 91-99

8. Communications design in GDSS

   Pages 101-116

9. Co-oP system architecture and software components

   Pages 117-147

10. Evaluation issues for GDSS

    Pages 149-161

11. Face-to-face GDSS versus distributed GDSS: Some empirical evidence

    Pages 163-175

12. Non-cooperation in GDSS

    Pages 177-189

13. GDSS design for organizational decision-making

    Pages 191-214

14. Conclusions

    Pages 215-219

15. Back Matter

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This book proposes an approach to analyzing, designing and implementing Group Decision Support Systems (GDSS). The experience gained in developing a concrete system, Co-oP, suggests that GDSS should be distributed, loosely-coupled and process-driven. A distributed and loosely-coupled GDSS architecture provides autonomy and flexibility for individual decision-making, and homogeneity and simplicity for group problem solving. Also, process-driven GDSS are able to deal with the unpredictable nature of group problems since collective decision processes have been shown to be the only elements in a GDSS that are (i) stable enough to fit into most collective problems, (ii) reasonably structurable to be implementable, and (iii) sufficiently controllable to guarantee appropriate use. From a Multiple Criteria Decision-Making (MCDM) viewpoint, this book supports the integrated use of various MCDM methods to help a GDSS (i) support a wide range of decision situations, (ii) attenuate the difficulty of information search, (iii) allow division of decision-making tasks, and (iv) permit consensus seeking analysis. Co-oP runs on a network of individual workstations. It contains a set of MCDM methods, techniques of aggregation of preferences, and a consensus seeking algorithm to support negotiation. Electronic communication among group members is monitored by a group norm filter which is adaptable to a large number of collective decision situations. This book also reports some empirical evaluations of Co-oP and expands the proposed approach to non-cooperation and organizational decision-making.

• algorithms
• control
• decision support system
• linear optimization
• organization
• problem solving

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