Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9002
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dc.contributor.authorChen, Chao-Jungen_US
dc.contributor.authorDr. CHEN Wan Yu, Tinaen_US
dc.contributor.authorDr. LEE Huaen_US
dc.contributor.authorDr. XIE Yuying, Sabrinaen_US
dc.date.accessioned2024-03-12T07:36:37Z-
dc.date.available2024-03-12T07:36:37Z-
dc.date.issued2023-
dc.identifier.citationJournal of Accounting, Finance & Management Strategy, 2023, vol. 18(2), pp. 19-54.en_US
dc.identifier.issn1556-5793-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9002-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Accounting, Finance & Management Strategyen_US
dc.titleAudit data analytics and audit quality: New insights.en_US
dc.typePeer Reviewed Journal Articleen_US
crisitem.author.deptDepartment of Accounting-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Accounting-
crisitem.author.deptDepartment of Accounting-
Appears in Collections:Accounting - Publication
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