The effects of effort and quality on decision strategy choice with computerized decision aids
P. C. Chu and Eric Spires, Decision Science 31:2, Spring 2000 pp. 259-292

P. C. Chu: associate  professor of information systems, Ohio State University
Eric Pires: associate professor of accounting, Ohio State University

Under what circumstances can decision support systems cause decision-makers to switch to a higher quality cognitive strategy of decisiobn making?


    Testing theories, models, or hypotheses that are of interest to an identified research community, through statistical analysis of large bodies of data, either existing or newly collected through survey, simulation, or experiment.
The authors adapted and extended a theoretical framework to evaluate strategy choices,  incorporating both the cost benefit theory and the bounded rationality theory.  Results from past research were interpreted within the framework, and the framework was also used to successfully predict outcomes from a new experiment.  The data indicate that is inaccurate to speak of "effort minimization" or "effort reduction" as the determining factor in how computerized decision aids are used.  A more accurate characterization is that effort and quality play a joint role. in that they are traded off in determining what cognitive strategy will be used for decision-making

The article would appeal to persons interested in advances in the underlying body
of knowledge that supports development and deployment of decision support
systems. It weould also be of interest to persons interested in studying the factors
imfluencing the choice of decision making strategies by professionals.

7. The following paper resembles this one in that it is an empirical study of aspects of the use fo decision support systems by human subjects:

"Comparison of Probabilistic and Possibilistic Decision Support"
Brian Schott and Thomas Whalen
Proceedings, Third International Conference on Applications of Fuzzy Logic
    and Soft Computing, 1998,  p. 42-47.