The use of data analytics in external auditing: a content analysis approach

Yeamin Jacky and Noor Adwa Sulaiman

Asian Review of Accounting, 2022, vol. 30, issue 1, 31-58

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: Data analytics; Auditing; Big data; Auditors; Content analysis; IT audit (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:arapps:ara-11-2020-0177

DOI: 10.1108/ARA-11-2020-0177

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