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Auditing as Pattern Recognition: Automated Analysis of Documentary Procedures

Authors: Ronald M. Lee;

Auditing as Pattern Recognition: Automated Analysis of Documentary Procedures

Abstract

Most information systems analysis techniques focus on data: storage, processing and communication. While these aspects are important, there is a further level of analysis -- for the most part ignored -- that is potentially even more important from the organizational standpoint. This has to do with how organizational commitments are formed and executed. The focus of this paper is on the modeling and analysis of formal procedures for commitments, both internal and external. Of particular interest are commitment procedures involving communications by means of structured documents, what we call documentary procedures. Documentary procedures are remarkable in that the communications involved are not only informative, but also performative in that they alter the state of commitment between the parties. The particular focus in this paper is on the adequacy of controls in these documentary procedures. A pattern matching technique, called audit daemons, is developed, analogous to daemons used elsewhere in AI. These audit daemons are used to diagnose fraud and collusion potentials, and other control weaknesses in the designed procedure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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