Human Information Processing the Consistency of Audit Risk Judgments

This research utilises the human information processing methodology to determine whether audit risk judgments are consistent with those obtained by using the audit risk model advanced by Statements on Auditing Standards (SAS) Nos. 39 and 47. The effects of two audit-risk specific factors (the level of algorithmic audit risk and the combination of components of audit risk) are examined. The results of analysis of variance (ANOVA) procedures and cue-utilisation indices reveal that some of the auditors judgments are inconsistent with the multiplicative nature of the audit risk model. In addition, evidence suggests that auditors affiliated with regional and local firms may depart from the audit risk model when substandard tests of details procedures are performed. The differences noted in the judgments of Big Eight auditors and regional and local auditors indicate that modified versions of the audit risk model may be employed by auditors in different types of audit engagements. 1990 Taylor & Francis Group. All rights reserved.

Human Information Processing the Consistency of Audit Risk Judgments Academic Article