Audit Data Analytics Use: An Exploratory Analysis

• In Event: Data Analytics

Abstract

The main goal of this study is to understand the current state of audit data analytics (ADA) use (i.e., the leveraging of data analytics in the performance of audits) within the Canadian audit profession. Based on survey results from 394 Canadian audit practitioners, we explore the following three questions: What is the locus of motivation behind ADA use? Does the creation of a supporting environment (e.g., training opportunities) mater in ADA use? What is the tradeoff between two potential ADA training strategies (diversity of ADA tools vs. ADA expertise)? Research questions are examined using path models estimated with components based structural equation modeling. Our study provides guidance to audit practitioners, professional organizations, and educators concerning current and future ADA initiatives.

Authors

• Clark J Hampton, University of Waterloo

• Theophanis C Stratopoulos, University of Waterloo