An empirical investigation of judgment feedback and computerized decision support in a prediction task

Information and Organization

Volumn 6, Issue 3, 1996, Pages 139-156

  Arunachalam, Vairam ^a   Daly, Bonita A ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Cognitive feedback; Decision support; Earnings prediction; Human information processing; Judgment policy feedback; Outcome feedback

Indexed keywords

EID: 0002381167     PISSN: 14717727     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. Arunachalam, V. & Daly, B.A. (1995). The effects of judgment feedback in an earnings prediction task using accounting information. Advances in Accounting Information Systems, 3, 63-99.
2. Ashton, R.H. (1981). A descriptive study of information evaluation. J. Accounting Research, Spring, 42-61.
3. Ashton, R.H. (1982). Human information processing in accounting: Studies in Accounting Research #17, Sarasota, FL: American Accounting Association.
4. Ashton, R.H. (1992). Effects of justification and a mechanical aid on judgment performance. Organizational Behavior and Human Decision Processes, 52, 292-306.
5. Balzer, W.K., Doherty, M.E. & O'Conner, R., Jr (1989). The effects of cognitive feedback on performance. Psychological Bulletin, 106, 410-433.
6. Balzer, W.K., Sulsky, L.M., Hammer, L.B. & Sumner, K.E. (1992). Task information, cognitive information or functional validity information: Which components of cognitive feedback affect performance? Organizational Behavior and Human Decision Processes, 53, 35-54.
7. Brehmer, B. (1980). In one word: Not from experience. Acta Psychologica, 45, 223-241
8. Brunswik, E. (1956). Perception and the representative design ofpsychological e.xprriments. University of California Press.
9. Cirincione, P.R. (1992). Combining group facilitation, decision modeling, and information technology to improve the accuracy of group judgment. Proceedings oft he Twenty-Fifth Hawaii International Conference on System Sciences, 7-10 January, 232-243.
10. Dawes, R.M. & Corrigan, B. (1974). Linear models in decision making. Psychological Bulletin, February, 95-106.
11. Dawes, R.M., Faust, D. & Meehl, P.E. (1989). Clinical versus actuarial judgment. Science, 243, 16681674.
12. Demski, J. (1980). Information analysis. Addison-Wesley, 2nd edition.
13. Einhom, H.J. & Hogarth, R.M. (1975). Unit weighting schemes for decision making. Organizational Behavior and Human Performance, April, 171-192.
14. Fischoff, B. (1975). Hindsight<>foresight: The effect of outcome knowledge on judgment under uncertainty. J. Experimental Psychology: Human Perception and Performance, I, 288-299.
15. Glass, G.V. & Stanley, J.C. (1970). Statistical Methods in Education and Psychology. Englewood Cliffs, NJ: Prentice Hall.
16. Goldberg, L.R. (1971). Five models of clinical judgment: An empirical comparison between linear and nonlinear representations of the human inference process. Organizational Behavior and Human Performance, July, 458-479.
17. Hammond, K.R., Rohrbaugh, J., Mumpower, J. & Adelman, L. (1977). Social judgment theory: Applications in policy formulation. In Caplan, M. & Schwartz, S. (Eds), Human judgment and decision processes in applied settings. New York: Academic Press.
18. Hammond, K.R., Stewart, T.R., Brehmer, B. & Steinmann, D.O. (1975). Social judgment theory. In Kaplan, M.F. & Schwartz, S. (Eds), Human judgment and decision processes. New York: Academic Press.
19. Hammond, K.R. & Summers, D.A. (1972). Cognitive control. Psychological Review, January, 58-67.
20. Harrell, A. (1977). The decision-making behavior of air force officers and the management control process, The Accounting Review, October, 833-841.
21. Hawkins, S.A. & Hastie, R. (1990). Hindsight: Biased judgments of past events after the outcomes are known. Psychological Bulletin, 107, 31 l-327.
22. Hirst, M.K. & Luckett, P.F. (1992). The relative effectiveness of different types of feedback in performance evaluation. Behavioral Research in Accounting, 4, l-22.
23. Jacoby, J., Mazursky, D., Troutman, T. & Kuss, A. (1984). When feedback is ignored: Disutility of outcome feedback. J. Applied Psychology, 69, 53 l-545.
24. Kessler, L. & Ashton, R.H. (1981). Feedback and prediction achievement in financial analysis. J. Accounting Research, Spring, 146-162.
25. Klayman, J.(1984). Learning from feedback in probabilistic environments. Acta Psychologica, 56, 8 l-92.
26. Klayman, J. (1988). On the how and why (not) of learning from outcomes. In Brehmer, B. &Joyce, C.R.B. (Eds) Human Judgment: The SJT View, Amsterdam: North-Holland.
27. Lee,.I. & Yates, J.F. (1992). How quantity judgment changes as the number of cues increases: An analytical framework and review. Psychological Bulletin, 112(2), 363-377.
28. Libby, R. (1981). Accounting and human information processing: Theoy and applications. Prentice-Hall.
29. Ou, J.A. & Penman, S.H. (1989). Financial statement analysis and the prediction of stock returns. J. Accounting and Economics, 11, 295-329.
30. Raiffa, H. (1982). The art and science of negotiation. Cambridge, MA: Harvard University Press.
31. Sengupta, K. & Te'eni, D. (1993). Cognitive feedback in gdss: Improving control and convergence. MIS Quarterly, March, 87-l 11.
32. Steinman, D.O. (1976). The effects of cognitive feedback and task complexity in multiple-cue probability learning. Organizational Behavior and Human Performance, 15, 168-179.
33. Te'eni, D. (1991). Feedback in DSS as a source of control: Experiments with the timing of feedback. Decision Sciences, 22, 644-655.
34. Te'eni, D. (1992). Analysis and design of process feedback in information systems: Old and new wine in new bottles. Accounting, Management and Information Technologies, 2(1). 1-l 8.
35. Tversky, A. & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, September, 112441131.
36. Wainer, H. (1978). On the sensitivity of regression and regressors. Psychological Bulktin, January, 267-273.
37. Widmeyer, G.R. & Lee, R.M. (1986). Preference elicitation in decision aiding: Application to electronic shopping. In McLean, E.R. & Sol, H.G. (Eds), Decision support systems: A decade in perspective. Amsterdam: Elsevier Science Publishers B. V. (North-Holland).