Synonyms
Definition
Decision-making is an inexact science, and one of the reasons is the utilization of data of imperfect quality in the decision process. If the user is aware of the caliber of the data and incorporates this information in the decision process, the effectiveness of the process is expected to increase.
Historical Background
A decision can be thought of as a set of actions related to and including the choice of one alternative rather than another. A rational model of decision-making is one in which decision-makers consider all aspects of all alternatives before making a decision. However actual decision-making often falls short of this ideal model because knowledge and experience of the consequence is incomplete, there is limited amount of time to explore all alternatives, and humans do not calculate perfectly. Hansson [8] stated that all decisions are made under uncertainty and he presented four components of great uncertainty: uncertainty of options,...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Ben Zur H. and Breznitz S.J. The effects of time pressure on risky choice behavior. Acta Psychologica. 47:89–104, 1981.
Chengalur-Smith I., Ballou D.P., and Pazer H. The impact of data quality tagging on decision complacency. In Proc. 2nd Conf. on Information Quality, pp. 209–221.1997,
Chengalur-Smith I., Ballou D.P., and Pazer H. The impact of data quality information on decision making: an exploratory analysis. IEEE Trans. Knowledge and Data Eng, 1999, pp. 853–864.
Chengalur-Smith I. and Pazer H. Decision complacency, consensus and consistency in the presence of data quality information. In Proc. 3rd Conf. on Information Quality, pp. 88–101.1998,
Fisher C.W., Chengalur-Smith I.N., and Ballou D.P. The impact of experience and time on the use of data quality information in decision making. Inform. Syst. Res., 14(2):170–188, 2003.
Gaeth G.J. and Shanteau J. Reducing the influence of irrelevant information on experienced decision makers Organ. Behav. Hum. Perform., 33:263–282, 1984.
Grether D.M., Schwartz A., and Wilde L.L. The irrelevance of information overload: An analysis of search and disclosure. Southern California Law Rev., 59:277–303, 1986.
Hansson S.O. Decision making under great uncertainty. Philos Social Sci., 26(3):369–386, 1996.
Johnson E.J., Payne J.W., and Bettman J.R. Information displays and preference reversals. Organ. Behav. Hum.Decision Process., 42:1–21, 1988.
Keller K.L. and Staelin R. Effects of quality and quantity of information on decision effectiveness. J. Consum. Res. 14:200–213, 1987.
MacGregor D., Lichtenstein S., and Slovic P. Structuring knowledge retrieval: An analysis of decomposed quantitative judgments. Organ. Behav. Hum. Decision Process., 42:303–323, 1988.
Payne J.W., Bettman J.R., and Johnson E.J. The adaptive decision maker. University Press, Cambridge 1993.
Stone D.N. and Schkade D.A. Numeric and linguistic information representation in multivariate choice. Organ. Behav. Hum. Decision Process., 49:42–59, 1991.
Wang R.Y. and Madnick S.E. A polygon model for heterogeneous database systems: The source tagging perspective. In Proc. 16th Int. Conf. on Very Large Data Bases, 1990, pp. 519–538.
Wang R. and Strong D. Beyond Accuracy: What Data Quality Means to Data Consumers. J. Manage. Inform. Syst., 4:5–34, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Chengalur-Smith, I.N. (2009). Information Quality and Decision Making. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_499
Download citation
DOI: https://doi.org/10.1007/978-0-387-39940-9_499
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering