Explaining the (non-) adoption of advanced data analytics in auditing: A process theory
•Audit firms adopt advanced data analytics (ADA) through a process.•The process is composed of several activities across different organizational units.•The adoption of ADA is led by the Big Four and their close competitors.•The technological capabilities of audit firms are highly important for the...
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| Veröffentlicht in: | International journal of accounting information systems Jg. 41; S. 100511 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.06.2021
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| ISSN: | 1467-0895, 1873-4723 |
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| Abstract | •Audit firms adopt advanced data analytics (ADA) through a process.•The process is composed of several activities across different organizational units.•The adoption of ADA is led by the Big Four and their close competitors.•The technological capabilities of audit firms are highly important for the successful adoption.•The identification of use cases is a crucial activity in the adoption process.
Audit firms are increasingly engaging with advanced data analytics to improve the efficiency and effectiveness of external audits through the automation of audit work and obtaining a better understanding of the client’s business risk and thus their own audit risk. This paper examines the process by which audit firms adopt advanced data analytics, which has been left unaddressed by previous research. We derive a process theory from expert interviews which describes the activities within the process and the organizational units involved. It further describes how the adoption process is affected by technological, organizational and environmental contextual factors. Our work contributes to the extent body of research on technology adoption in auditing by using a previously unused theoretical perspective, and contextualizing known factors of technology adoption. The findings presented in this paper emphasize the importance of technological capabilities of audit firms for the adoption of advanced data analytics; technological capabilities within audit teams can be leveraged to support both the ideation of possible use cases for advanced data analytics, as well as the diffusion of solutions into practice. |
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| AbstractList | •Audit firms adopt advanced data analytics (ADA) through a process.•The process is composed of several activities across different organizational units.•The adoption of ADA is led by the Big Four and their close competitors.•The technological capabilities of audit firms are highly important for the successful adoption.•The identification of use cases is a crucial activity in the adoption process.
Audit firms are increasingly engaging with advanced data analytics to improve the efficiency and effectiveness of external audits through the automation of audit work and obtaining a better understanding of the client’s business risk and thus their own audit risk. This paper examines the process by which audit firms adopt advanced data analytics, which has been left unaddressed by previous research. We derive a process theory from expert interviews which describes the activities within the process and the organizational units involved. It further describes how the adoption process is affected by technological, organizational and environmental contextual factors. Our work contributes to the extent body of research on technology adoption in auditing by using a previously unused theoretical perspective, and contextualizing known factors of technology adoption. The findings presented in this paper emphasize the importance of technological capabilities of audit firms for the adoption of advanced data analytics; technological capabilities within audit teams can be leveraged to support both the ideation of possible use cases for advanced data analytics, as well as the diffusion of solutions into practice. |
| ArticleNumber | 100511 |
| Author | Krieger, Felix Drews, Paul Velte, Patrick |
| Author_xml | – sequence: 1 givenname: Felix surname: Krieger fullname: Krieger, Felix email: felix.krieger@leuphana.de organization: Institute of Information Systems, Leuphana Universität Lüneburg, Universitätsalle 1, 21335 Lüneburg, Germany – sequence: 2 givenname: Paul surname: Drews fullname: Drews, Paul email: paul.drews@leuphana.de organization: Institute of Information Systems, Leuphana Universität Lüneburg, Universitätsalle 1, 21335 Lüneburg, Germany – sequence: 3 givenname: Patrick surname: Velte fullname: Velte, Patrick email: patrick.velte@leuphana.de organization: Institute of Management, Accounting and Finance, Leuphana Universität Lüneburg, Universitätsalle 1, 21335 Lüneburg, Germany |
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| Keywords | Audit innovation Audit data analytics Big data Audit digitization Advanced data analytics in auditing Machine learning |
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