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Adoption of artificial intelligence in auditing: An exploratory study

Author

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  • Ravi Seethamraju
  • Angela Hecimovic

Abstract

Artificial intelligence (AI) is likely to transform the audit profession. This exploratory study, by utilising the technology–organisation–environment (TOE) framework and data from semi-structured interviews, identifies several technological (perceived benefits, compatibility, maturity), organisational (readiness, data quality, trust) and environmental (audit standards, regulation, client readiness) factors influencing the adoption of AI tools in audit practice. While AI has the potential to improve audit quality and deliver value-adding services to audit clients, our study concludes that AI adoption requires a rethink of audit practice considering the perceived lack of control in AI ‘black-box’ potentially rendering audit practice even more hidden from view and exposed to increased scrutiny over audit quality. JEL Classification: M42, O31, O32, O33

Suggested Citation

  • Ravi Seethamraju & Angela Hecimovic, 2023. "Adoption of artificial intelligence in auditing: An exploratory study," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 780-800, November.
    • Handle: RePEc:sae:ausman:v:48:y:2023:i:4:p:780-800
    DOI: 10.1177/03128962221108440
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    References listed on IDEAS

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    1. Mark W Wiggins & Jaime Auton & Piers Bayl-Smith & Ann Carrigan, 2020. "Optimising the future of technology in organisations: A human factors perspective," Australian Journal of Management, Australian School of Business, vol. 45(3), pages 449-467, August.
    2. Aidi Ahmi & Simon Kent, 2013. "The utilisation of generalized audit software (GAS) by external auditors," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 28(2), pages 88-113, January.
    3. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    4. Abhay Nath Mishra & Prabhudev Konana & Anitesh Barua, 2007. "Antecedents and Consequences of Internet Use in Procurement: An Empirical Investigation of U.S. Manufacturing Firms," Information Systems Research, INFORMS, vol. 18(1), pages 103-120, March.
    5. George Salijeni & Anna Samsonova-Taddei & Stuart Turley, 2019. "Big Data and changes in audit technology: contemplating a research agenda," Accounting and Business Research, Taylor & Francis Journals, vol. 49(1), pages 95-119, January.
    6. Viswanath Venkatesh & Hillol Bala, 2012. "Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy," Information Systems Research, INFORMS, vol. 23(4), pages 1131-1157, December.
    7. Wenjuan Xu & Peiyu Ou & Weiguo Fan, 2017. "Antecedents of ERP assimilation and its impact on ERP value: A TOE-based model and empirical test," Information Systems Frontiers, Springer, vol. 19(1), pages 13-30, February.
    8. Noel Harding & Mohammad I. Azim & Radzi Jidin & Janine P. Muir, 2016. "A Consideration of Literature on Trust and Distrust as they Relate to Auditor Professional Scepticism," Australian Accounting Review, CPA Australia, vol. 26(3), pages 243-254, September.
    9. Michael Kend & Lan Anh Nguyen, 2020. "Big Data Analytics and Other Emerging Technologies: The Impact on the Australian Audit and Assurance Profession," Australian Accounting Review, CPA Australia, vol. 30(4), pages 269-282, December.
    10. Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
    11. Wenjuan Fan & Jingnan Liu & Shuwan Zhu & Panos M. Pardalos, 2020. "Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)," Annals of Operations Research, Springer, vol. 294(1), pages 567-592, November.
    12. Lian, Jiunn-Woei & Yen, David C. & Wang, Yen-Ting, 2014. "An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital," International Journal of Information Management, Elsevier, vol. 34(1), pages 28-36.
    13. Robert L. Braun & Harold E. Davis, 2003. "Computer‐assisted audit tools and techniques: analysis and perspectives," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 18(9), pages 725-731, December.
    14. Janssen, Marijn & Weerakkody, Vishanth & Ismagilova, Elvira & Sivarajah, Uthayasankar & Irani, Zahir, 2020. "A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors," International Journal of Information Management, Elsevier, vol. 50(C), pages 302-309.
    15. Emily E. Griffith & Jacqueline S. Hammersley & Kathryn Kadous, 2015. "Audits of Complex Estimates as Verification of Management Numbers: How Institutional Pressures Shape Practice," Contemporary Accounting Research, John Wiley & Sons, vol. 32(3), pages 833-863, September.
    16. Carlin Dowling & Stewart a. Leech, 2014. "A Big 4 Firm's Use of Information Technology to Control the Audit Process: How an Audit Support System is Changing Auditor Behavior," Contemporary Accounting Research, John Wiley & Sons, vol. 31(1), pages 230-252, March.
    17. Oliveira, Tiago & Martins, Ricardo & Sarker, Saonee & Thomas, Manoj & Popovič, Aleš, 2019. "Understanding SaaS adoption: The moderating impact of the environment context," International Journal of Information Management, Elsevier, vol. 49(C), pages 1-12.
    18. Gray, Glen L. & Chiu, Victoria & Liu, Qi & Li, Pei, 2014. "The expert systems life cycle in AIS research: What does it mean for future AIS research?," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 423-451.
    19. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    20. repec:eme:maj000:maj-03-2020-2588 is not listed on IDEAS
    21. Abed, Salma S., 2020. "Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs," International Journal of Information Management, Elsevier, vol. 53(C).
    22. Rizwan Khan & Erwin Adi & Omar Hussain, 2021. "AI-based audit of fuzzy front end innovation using ISO56002," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 36(4), pages 564-590, July.
    23. Ravi Seethamraju, 2015. "Adoption of Software as a Service (SaaS) Enterprise Resource Planning (ERP) Systems in Small and Medium Sized Enterprises (SMEs)," Information Systems Frontiers, Springer, vol. 17(3), pages 475-492, June.
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    More about this item

    Keywords

    Adoption; artificial intelligence; audit; audit quality; technology–organisation–environment framework;
    All these keywords.

    JEL classification:

    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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