Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9002
Title: Audit data analytics and audit quality: New insights.
Authors: Chen, Chao-Jung 
Dr. CHEN Wan Yu, Tina 
Dr. LEE Hua 
Dr. XIE Yuying, Sabrina 
Issue Date: 2023
Source: Journal of Accounting, Finance & Management Strategy, 2023, vol. 18(2), pp. 19-54.
Journal: Journal of Accounting, Finance & Management Strategy 
Abstract: The purpose of this study is to examine the relationship between data analytics techniques and financial statement audits. We analyze how specific data analytics techniques can be applied to financial statement audits and integrate related studies on data analytics in auditing. We provide a comprehensive analysis of how specific data analytics is associated with audit quality and/or auditor’s judgment performance. Research implications and new insights into future research opportunities are accordingly derived.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/9002
ISSN: 1556-5793
Appears in Collections:Accounting - Publication

Show full item record

Page view(s)

90
Last Week
4
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.