Abstract
A comparison of ex-post and ex-ante DSS evaluation techniques is presented. We argue that ex-ante DSS evaluation can be conducted through the use of controlled laboratory experiments. Such ex-ante information gathering avoids the expense of fully implemented systems, can be conducted over carefully designed experimental ranges, and can play an important role in DSS theory testing and modification. But ex-ante procedures are not without pitfalls that must be carefully avoided. We outline an integrated evaluation approach that incorporates the use of ex-ante and ex-post evaluation procedures in a complimentary rather than competing fashion. Significant illustrative use is made of controlled laboratory experiments which we have been conducting at the MIS and DSS Research Laboratories of the Department of Decision Science and Information Systems at the University of Kentucky.
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References
Ackoff, R.: Management Misinformation Systems. Vol. 14: Management Science. No. 4, 1967.
Ahituv, N. and Y. Wand: Comparative Evaluation of Information Under Two Business Objectives. Vol. 15: Decision Sciences. 1984.
Alavi, M. and J. C. Henderson: An Evolutionary Strategy for Implementing a Decision Support System. Vol. 27: Management Science. No. 11, 1981.
Alavi, M. and H. A. Napier: An Experiment in Applying the Adaptive Design Approach to DSS Development. Vol. 7: Information and Management. 1984.
Benbasat, I. and B. R. Nault: An Evaluation of Empirical Research in Management Support Systems. Vol. 6: Decision Support Systems. No. 3, 1990.
Gardner, C.: Testing the Hypotheses of a DSS Theory: The Integration of Microeconomic Theory, Laboratory Experiments, and Information System Evaluation. Unpublished Ph.D. Dissertation, Department of Decision Science and Information Systems, College of Business and Economics, University of Kentucky, Lexington, Kentucky 40506–0034, 1991.
Gardner, C., J. R. Marsden, and D. E. Pingry: The Design and Use of Laboratory Experiments for DSS Evaluation. Decision Support Systems, forthcoming.
Gremillion, L. L. and P. J. Pyburn: Justifying Decision Support and Office Automation Systems. Vol. 2: Journal of Management Information Systems. No. 1, 1985.
Hoffman, E., J. R. Marsden, and A. Whinston: Laboratory Experiments and Computer Simulation: An Introduction to the use of Experimental and Process Model Data in Economic Analysis. Vol. 2: Advances in Behavioral Economics, (eds., L. Green and J. Kagel). Norwood, NJ: Ablex Publishing Company, 1990.
Hoffman, E. and M. L. Spitzer: Experimental Law and Economics: An Introduction. Vol. 85: Columbia Law Review. No. 5, 1985.
Isaac, R. M. and D. E. Pingry: Managing J. Pierrepont Finch: Should He be Given a PC? Information and Management, forthcoming.
Kasper, G. W.: The Effect of User-Developed DSS Applications on Forecasting Decision-Making Performance in an Experimental Setting. Vol. 2: Journal of Management Information Systems. No. 2, 1985.
Keen, P. G.: Computer-Based Decision Aids: The Evaluation Problem. Sloan Management Review. Spring, 1975.
Keen, P. G.: Adaptive Design for Decision Support Systems. Vol. 12: Data Base. No. 1–2, 1980.
Keen, P. G.: Value Analysis: Justifying Decision Support Systems. MIS Quarterly. March, 1981.
Mahmood, M. A. and J. N. Medewitz: Impact of Design Methods on Decision Support Systems Success: An Empirical Assessment. Vol 9: Information and Management. 1985.
Marsden, J. R. and D. E. Pingry: Problem Structure and DSS Design, Proceedings of the Nineteenth Annual Hawaii International Conference on System Sciences, 1986a.
Marsden, J. R. and D. E. Pingry: Generating an Optimal Information System: PMAX-SDLC and the Redirection of MIS Research. Vol. 3: Journal of Management Information Systems. No. 1, 1986b.
Marsden, J. R. and D. E. Pingry: Decision Support System Approach to MBA Curriculum Design: Forecasting MBA 2000, Proceedings of the 23rd Hawaii International Conference on System Sciences, 1990.
Marsden J. R. and D. E. Pingry: Theory of Decision Support Systems Portfolio Evaluation. Decision Support Systems, forthcoming.
Marsden, J. R. Marsden, D. E. Pingry, and R. D. St. Louis: A Strategy for Determining the Optimal Domain for Knowledge Based Decision Support Systems. Vol. 48: European Journal of Operational Research. No. 3, 1990.
Sanders, G. L. and J. F. Courtney: A Field Study of Organizational Factors Influencing DSS Success. Vol. 7: MIS Quarterly. 1985.
Sharda, R., S. Barr, and J. C. McDonnell: Decision Support System Effectiveness: A Review and an Empirical Test. Vol. 34: Management Science. 1988.
Singleton, J. P., E. R. McLean, and T. Wegner: The Quantification of Decision Support Benefits Within the Context of Value Analysis. Vol. 12: MIS Quarterly. No. 2, 1988.
Smith, V. L.: Experimental Studies of Competition in Sealed-Bid Auction Markets. Business. 1967.
Smith, V. L.: Notes on Some Literature Social Science Working Paper No. 21, C Technology, 1973.
Smith, V. L.: Experimental Economics: Induced Value Theory. Vol. 66: American Economic Review. No. 2, 1976.
Smith, V. L.: Microeconomic Systems as Experimental Science. Vol. 72: American Economic Review. No. 5, 1982.
Smith, V. L.: Experimental Methods in Economics. The New Palgrave: A Dictionary of Economic Theory and Doctrine (eds., John Eatwell, Murray Milgate, and Peter Newman ). Macmillan Press, Ltd, 1985.
Snitkin, S. R. and W. R. King: Determinants of the Effectiveness of Personal Decision Support Systems. Vol. 10: Information and Management. 1986.
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© 1993 Springer-Verlag Berlin Heidelberg
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Gardner, C., Marsden, J.R., Pingry, D.E. (1993). DSS Evaluation: A Comparison of Ex-Ante and Ex-Post Evaluation Methods. In: Holsapple, C.W., Whinston, A.B. (eds) Recent Developments in Decision Support Systems. NATO ASI Series, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02952-7_17
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DOI: https://doi.org/10.1007/978-3-662-02952-7_17
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