Fixed-time interval simulation has been used extensively in deci sion support systems to provide an understanding of the nature of the risks involved in proposed choices. An alternative ap proach, which is particularly suitable for decisions involving group concensus is the use of operational gaming. This paper describes these two approaches and compares their advantages and disadvantages. The concept of using decision rooms as gam ing environments for supporting group decision making is intro duced and explored.
Alter, Steven L.Decision Support Systems: Current Practice and Continuing Challenge. Addison-Wesley Publishing Co ., Reading, Mass. (1980).
2.
Ariav, G. and Ginzberg, M.J. "DSS Design: A Systemic View of Decision Support." Communications of the ACM28:10 (October 1985), 1045-1052.
3.
Brookes, C.H.P.'A Framework for DSS Development." Transactions of the Fifth International Conference on Decision Support Systems. The Institute of Management Sciences, Providence, R.I. (1985).
4.
Desanctis, G. and Gallupe, B. "Group Decision Support Systems: A New Frontier ." DATA BASE16:2 (Winter 1985), 3-10.
5.
Enzer, S.; Drobnick, R.; and Alter S.L.Neither Feast Nor Famine. Center for Futures Research, University of Southern California, Los Angeles, Calif . (1977).
6.
Enzer, S. "INTERAX-An Interactive Model for Studying Future Business Environments ." Technological Forecasting and Social Choice, Part 1: Vol. 13 (1980), 141-159. Part 2: Vol. 13 ( 1980), 211-242.
7.
Gray, P. et al. 'The SMU Decision Room Project." Transactions of the First International Conference on Decision Support Systems . The Institute of Management Sciences, Providence, R.I. (1981).
8.
Gray, P. "Initial Observations from the Decision Room Project." Transactions of the Third International Conference on Decision Support Systems. The Institute of Management Sciences, Providence, R.I. (1983), 135-138.
9.
G Ray, P. "Using the Interactive Financial Planning System (IFPS) for Stochastic Simulation." SIMULATION43:6 (December 1984), 286-292.
10.
Hamming, R.W.Numerical Methods for Scientists and Engineers . McGraw-Hill Book Company, New York, N.Y. (1962), v.
11.
Hertz, D.B. "Risk Analysis in Capital Investment." Harvard Business Review42:1 (January-February 1964), 95-106.
12.
Huber, G.P. "Issues in the Design of Group Decision Support Systems." MIS Quarterly8:3 (1984), 195-204.
13.
Keen, P.G.W.Closing plenary speech at the First International Conference on Decision Support Systems, Atlanta, Ga. ( 1981).
14.
Kraemer, L.L. and King, J.L.Computer-Based Systems for Group Decision Support. Public Policy Research Organization, University of California at Irvine, Irvine, Calif. (1983).
15.
Mesarovic, M. and Pestel, E.Mankind at the Turning Point. E.P. Dutton & Company, New York, NY. (1974).
16.
Meier, R.C.; Newell, W.T.; and Pazer, H.L.Simulation in Business and Economics. Prentice-Hall Inc ., Englewood Cliffs, N.J. (1969).
17.
Sprague, R.H. and Carlson, E.D.Building Effective Decision Support Systems . Prentice-Hall Inc., Englewood Cliffs, N.J. (1982).
18.
Thomas, C.J. and Deemer, W.L., Jr. 'The Role of Operational Gaming in Operations Research." Operations Research5:1, (February 1957), 1-27.
