Powers-of-Ten Information Biases

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.

• 저널MIS Quarterly · 14(1) · 63–77
• 토픽Software Engineering Research · Information Systems
• DOI10.2307/249309
• 저자John A. Ricketts