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The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
November/December 1999 (vol. 11 no. 6)
pp. 853-864
ASCII Text
x 
 
InduShobha N. Chengalur-Smith, Donald P. Ballou, Harold L. Pazer, "The Impact of Data Quality Information on Decision Making: An Exploratory Analysis," IEEE Transactions on Knowledge and Data Engineering, vol. 11, no. 6, pp. 853-864, November/December, 1999.
 
 
BibTex
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@article{ 10.1109/69.824597,
author = {InduShobha N. Chengalur-Smith and Donald P. Ballou and Harold L. Pazer},
title = {The Impact of Data Quality Information on Decision Making: An Exploratory Analysis},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {11},
number = {6},
issn = {1041-4347},
year = {1999},
pages = {853-864},
doi = {http://doi.ieeecomputersociety.org/10.1109/69.824597},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
IS - 6
SN - 1041-4347
SP853
EP864
EPD - 853-864
A1 - InduShobha N. Chengalur-Smith,
A1 - Donald P. Ballou,
A1 - Harold L. Pazer,
PY - 1999
KW - Data quality
KW - data tagging
KW - decision making
KW - decision complacency
KW - decision consensus
KW - decision consistency.
VL - 11
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 

Abstract—This paper describes an experiment that explores the consequences of providing information regarding the quality of data used in decision making. The subjects in the study were given three types of information about the data's quality: none, two-point ordinal, and interval scale. This information was made available to the subjects, along with the actual data. Two decision strategies were explored: conjunctive and weighted linear additive. Two decision environments were used: a simple environment and a relatively complex environment. Various combinations of these factors were employed to explore several issues. These include complacency, consensus, and consistency. The paper provides preliminary insights into which type of data-quality information is most effective and the circumstances in which data-quality information is most effective. Such knowledge would be of value to those responsible for designing databases that support decision-makers. Overall, we find that in a situation where subjects are confronted with clearly differentiated alternatives, the inclusion of data-quality information impacted the selection of the preferred alternative while maintaining group consensus.

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Index Terms:
Data quality, data tagging, decision making, decision complacency, decision consensus, decision consistency.
Citation:
InduShobha N. Chengalur-Smith, Donald P. Ballou, Harold L. Pazer, "The Impact of Data Quality Information on Decision Making: An Exploratory Analysis," IEEE Transactions on Knowledge and Data Engineering, vol. 11, no. 6, pp. 853-864, Nov.-Dec. 1999, doi:10.1109/69.824597
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