The use of data analytics in external auditing: a content analysis approach
ISSN: 1321-7348
Article publication date: 10 January 2022
Issue publication date: 19 January 2022
Abstract
Purpose
This study examines the perceptions of interested stakeholders on the factors affecting the use of data analytics (DA) in financial statement audits. Response letters submitted by stakeholders of the auditing services to the International Auditing and Assurance Standards Board's (IAASB) Data Analytics Working Group (DAWG) served as sources for analysis.
Design/methodology/approach
The modified information technology audit model was used as a framework to perform a direct content analysis of all the 50 response letters submitted to the DAWG.
Findings
The analysis showed that a range of attributes, such as the usefulness of DA in auditing, authoritative guidance (auditing standards), data reliability and quality, auditors' skills, clients' factors and costs, were the factors perceived by stakeholders to be affecting the use of DA in external auditing.
Research limitations/implications
This study is subjected to the limitations inherent to all content analysis studies. Nonetheless, the findings offer additional insights about potential factors affecting the adoption of DA in audit practices.
Originality/value
The data noted in the published statements highlighted the perceptions of a range of stakeholders with regards to the factors affecting the use of DA in auditing.
Keywords
Acknowledgements
The authors acknowledge the financial support provided by the University of Malaya under the Geran Penyelidikan Fakulti (GPF002I-2019).
Citation
Jacky, Y. and Sulaiman, N.A. (2022), "The use of data analytics in external auditing: a content analysis approach", Asian Review of Accounting, Vol. 30 No. 1, pp. 31-58. https://doi.org/10.1108/ARA-11-2020-0177
Publisher
:Emerald Publishing Limited
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