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The Detection of Data Errors in Computer Information Systems: Field Interviews with Municipal Bond Analysts

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  • Barbara D. Klein

    (University of Michigan-Dearborn, USA)

Abstract

There is strong evidence that data stored in organizational databases have a significant rate of errors. As computerized databases continue to proliferate, the number of errors in stored data and the organizational impact of these errors are likely to increase. The impact of data errors on business processes and decision making can be lessened if users of information systems are able and willing to detect and correct data errors. However, some published research suggests that users of information systems do not detect data errors. This paper reports the results of a study showing that municipal bond analysts detect data errors. The results provide insight into the conditions under which users in organizational settings detect data errors. Guidelines for improving error detection are also discussed

Suggested Citation

  • Barbara D. Klein, 2000. "The Detection of Data Errors in Computer Information Systems: Field Interviews with Municipal Bond Analysts," Information Resources Management Journal (IRMJ), IGI Global, vol. 13(3), pages 23-32, July.
    • Handle: RePEc:igg:rmj000:v:13:y:2000:i:3:p:23-32
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