The Influence of Heuristic and Computer-Assisted Audit Techniques (CAAT) on Fraud Detection with Experience as a Mediating

Authors
  • Dian Saputra

    Faculty of Economics and Business, Universitas Islam Riau, 28288, Indonesia

    https://orcid.org/0000-0001-7091-1860 (unauthenticated)

  • Abrar Nawas

    Faculty of Economics and Business, Universitas Islam Riau, 28288, Indonesia

  • Reza Ananda Rinaldy

    Faculty of Economics and Business, Universitas Islam Riau, 28288, Indonesia

Keywords:
Heuristic, Audit, CAAT, Experience, Fraud Detection
Abstract

This study explores the impact of Heuristics and Computer-Assisted Audit Techniques (CAAT) on fraud detection, with Experience as the mediating variable. The findings show that CAAT has no significant effect on fraud detection, while heuristics have a significant effect. Experience also directly contributes positively to fraud detection. An interesting result is that CAAT affects fraud detection through experience as a mediator, while heuristics have no significant effect when mediated by experience. Experience serves as a key bridge that strengthens the relationship between CAAT and fraud detection. The implication is that organisations can improve audit strategies by understanding the complexity of these factors, acknowledging the differential impact between CAAT and heuristics, and leveraging experience as a vital mediator tool to improve fraud detection.

References
Downloads
Published
2024-03-24
Section
9th ASIA Internatational Confernece 2023
License

Copyright (c) 2024 Asia Proceedings of Social Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Most read articles by the same author(s)

Similar Articles

11-20 of 71

You may also start an advanced similarity search for this article.