Management information systems: conceptual foundations, structure, and development (2nd ed.)
Management information systems: conceptual foundations, structure, and development (2nd ed.)
On thin ice:micros and data integrity
Datamation
Implications of data quality for spreadsheet analysis
ACM SIGMIS Database
Management-by-exception reporting: an empirical investigation
Information and Management
An information systems keyword classification scheme
MIS Quarterly
Information systems management in practice: 2nd edition
Information systems management in practice: 2nd edition
Programming pearls: the envelope is back
Communications of the ACM - The MIT Press scientific computation series
Human Error in Computer Systems
Human Error in Computer Systems
Art of Software Testing
EDP Auditing: Conceptual Foundation and Practice
EDP Auditing: Conceptual Foundation and Practice
Third time charm: Stronger prediction of programmer performance by software complexity metrics
ICSE '79 Proceedings of the 4th international conference on Software engineering
Journal of Data and Information Quality (JDIQ)
How Do Actuaries Use Data Containing Errors?: Models of Error Detection and Error Correction
Information Resources Management Journal
Information Resources Management Journal
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Powers-of-ten information biases arise when recurring numeric information is consistently inflated or deflated by a power of ten. Such biases are difficult to detect because the information stream is internally consistent and external verification is impeded. This study confirms earlier findings that information bias detection rates are low. It extends those findings by demonstrating that bias detection does not increase significantly with bias magnitude or specific detection instructions, two often-suggested detection factors. Bias detectors do, however, employ more effective misinformation search and verification strategies than non-detectors. Therefore, IS research should investigate other strategies as well as the possibility that information biases contribute to poor decisions and dissatisfaction with information systems.