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A cognitive model of the auditor's going‐concern judgment
Author(s) -
Selfridge Mallory,
Biggs Stanley F.,
Krupka George R.
Publication year - 1992
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550070502
Subject(s) - audit , cognition , computer science , psychology , cognitive science , artificial intelligence , accounting , business , neuroscience
This article presents a cognitive model of the auditor's going‐concern judgment, called the GCX model, that is based on the analysis of transcripts of interviews with expert auditors. It proposes a specific set of knowledge and reasoning skills to model the auditor's performance of the going‐concern judgment. the GCX model has been implemented and tested in a computer program, called “GCX,” using data drawn from a realworld company, and its performance qualitatively matches that of expert auditors. © 1992 John Wiley & Sons, Inc.
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