Continuous Auditing : Internal Audit at a Crossroads?

University essay from Stockholms universitet/Företagsekonomiska institutionen

Abstract: Purpose – It is argued that traditional audit methods are becoming outdated in terms of delivering sufficient assurance on business objectives, whereby, a paradigm shift towards continuous auditing (CA) is proposed and perceived as necessary both by academia, standard-setting groups, and business society. However, the practical prevalence of CA is insignificant in relation to the expectations depicted. Therefore, the purpose of this paper is to examine why this is the case by means of investigating what factors that motivate an adoption of CA amongst various internal audit functions (IAFs). Design/methodology/approach – The study draws on the Technology Acceptance Model (TAM), and data are obtained through semi-structured interviews capturing internal auditors’ attitude towards CA, and what factors that influence an adoption. Findings – There is a shattered view on CA amongst IAFs, where the proponents embrace it as a set of value-adding methodologies whilst the opponents argue that it falls outside their responsibility and threaten the independence of the function. Thus, why CA has not been leveraged to its full potential is, in contrast to previous research, not solely attributable to practical factors but also due to the IAFs’ vast differences in approach to CA as a concept. Practical implications – The study has brought attention to the distinguished disparity found in internal auditors’ attitude towards CA. Ultimately, doubts, whether CA should be leveraged by IAFs has come to light. These are hurdles that need to be considered, both by academia, standard-setting groups, and business society if the leap for CA ought to continue. Originality/value – The use of semi-structured interviews contributes to in-depth understandings and insights of the internal auditors’ attitudes towards CA. Moreover, such an approach is more likely to capture the stance towards CA in greater detail than that possible of previous large-scale surveys.

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