The Impact of Experience and Time on the Use of Data Quality Information in Decision Making.

Author List: Fisher, Craig W.; Chengalur-Smith, InduShobha; Ballou, Donald P.;
Information Systems Research, 2003, Volume 14, Issue 2, Page 170-188.
Data Quality Information (DQI) is metadata that can be included with data to provide the user with information regarding the quality of that data. As users are increasingly removed from any personal experience with data, knowledge that would be beneficial in judging the appropriateness of the data for the decision to be made has been lost. Data tags could provide this missing information. However, it would be expensive in general to generate and maintain such information. Doing so would be worthwhile only if DQI is used and affects the decision made. This work focuses on how the experience of the decision maker and the available processing time influence the use of DQI in decision making. It also explores other potential issues regarding use of DQI, such as task complexity and demographic characteristics. Our results indicate increasing use of DQI when experience levels progress through the stages from novice to professional. The overall conclusion is that DQI should be made available to managers without domain-specific experience. From this it would follow that DQI should be incorporated into data warehouses used on an ad hoc basis by managers.
Keywords: Data Quality; Data Quality Information (DQI); Data Quality Tags; Data Warehouse; Decision Making; Information Quality
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#8 0.231 decision making decisions decision-making makers use quality improve performance managers process better results time managerial task significantly help indicate maker
#225 0.217 information environment provide analysis paper overall better relationships outcomes increasingly useful valuable available increasing greater regarding levels decisions viewed relative
#126 0.175 data database administration important dictionary organizations activities record increasingly method collection records considered perturbation requirements special level efforts administrators analyzed
#4 0.108 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#174 0.080 use support information effective behaviors work usage examine extent users expertise uses longitudinal focus routine revealed volume constructs contributes operations
#115 0.060 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#241 0.052 information stage stages venture policies ewom paper crowdfunding second influence revelation funding cost important investigation ventures session studied electronic multiple