volume 34, issue 8, P924-950 2019
DOI: 10.1108/maj-01-2018-1785
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Georgia Boskou, Efstathios Kirkos, Charalambos Spathis

Abstract: Purpose This paper aims to assess internal audit quality (IAQ) by using automated textual analysis of disclosures of internal audit mechanisms in annual reports. Design/methodology/approach This paper uses seven text mining techniques to construct classification models that predict whether companies listed on the Athens Stock Exchange are audited by a Big 4 firm, an auditor selection that prior research finds is associated with higher IAQ. The classification accuracy of the models is compared to predictions…

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