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Information Fusion in Continuous Assurance

Posted: 25 Jan 2013  

Johan Perols

University of San Diego - Department of Accountancy; University of San Diego - School of Business Administration

Uday S. Murthy

University of South Florida - School of Accountancy

Date Written: April 9, 2012

Abstract

We extend continuous assurance research by proposing a novel continuous assurance architecture grounded in information fusion research. Existing continuous assurance architectures focus primarily on methods of monitoring assurance clients’ systems to detect anomalous activities and have not addressed the question of how to process the detected anomalies. Consequently, actual implementations of these systems typically detect a large number of anomalies, with the resulting information overload leading to suboptimal decision making due to human information processing limitations. The proposed architecture addresses these issues by performing anomaly detection, aggregation and evaluation. Within the proposed architecture, artifacts developed in prior continuous assurance, ontology, and artificial intelligence research are used to perform the detection, aggregation and evaluation information fusion tasks. The architecture contributes to the academic continuous assurance literature and has implications for practitioners involved in the development of more robust and useful continuous assurance systems.

Keywords: continuous assurance, information fusion, machine learning, artificial intelligence, REA

Suggested Citation

Perols, Johan and Murthy, Uday S., Information Fusion in Continuous Assurance (April 9, 2012). Journal of Information Systems, Vol. 26, No. 2, 2012. Available at SSRN: https://ssrn.com/abstract=2206579

Johan Perols (Contact Author)

University of San Diego - Department of Accountancy ( email )

223 Olin Hall
5998 Alcalá Park
San Diego, CA
United States

University of San Diego - School of Business Administration ( email )

5998 Alcala Park
San Diego, CA 92110-2492
United States

Uday S. Murthy

University of South Florida - School of Accountancy ( email )

Tampa, FL 33620
United States
813-974-6523 (Phone)
813-974-6528 (Fax)

HOME PAGE: http://www.coba.usf.edu/departments/accounting/faculty/murthy/index.html

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