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Challenges of using RPA in auditing: A socio‐technical systems approach

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  • Laila Dahabiyeh
  • Omar Mowafi

Abstract

The use of Robotic Process Automation (RPA) is rapidly growing in the professional services sector such as auditing. Despite the great benefits RPA can offer, RPA failure rates are still high. In this research, we draw on socio‐technical systems theory to examine the challenges of using RPA in the various phases of auditing and how auditors address these challenges. By interviewing experienced partners and auditors in auditing firms and technology companies, we show that challenges arise when there is a lack of fit between the technical requirements of the RPA tool (technical subsystem) and the skills and knowledge of the auditors and clients (social subsystem). We discuss our findings and provide valuable practical implications and opportunities for future research.

Suggested Citation

  • Laila Dahabiyeh & Omar Mowafi, 2023. "Challenges of using RPA in auditing: A socio‐technical systems approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 76-86, April.
  • Handle: RePEc:wly:isacfm:v:30:y:2023:i:2:p:76-86
    DOI: 10.1002/isaf.1537
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    1. 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.
    2. Sudhir Nanda & Parag Pendharkar, 2001. "Linear models for minimizing misclassification costs in bankruptcy prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 155-168, September.
    3. Nora Azima Noordin & Khaled Hussainey & Ahmad Faisal Hayek, 2022. "The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE," JRFM, MDPI, vol. 15(8), pages 1-14, July.
    4. Anagnoste Sorin, 2017. "Robotic Automation Process - The next major revolution in terms of back office operations improvement," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 11(1), pages 676-686, July.
    5. 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.
    6. Kokina, Julia & Blanchette, Shay, 2019. "Early evidence of digital labor in accounting: Innovation with Robotic Process Automation," International Journal of Accounting Information Systems, Elsevier, vol. 35(C).
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