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Robotic Process Automation in Audit 4.0

Published:02 December 2021Publication History

ABSTRACT

Currently we have entered the era of the industrial revolution 4.0 where all aspects of the business have changed, including auditing. Manual audits are increasingly being abandoned, currently referred to as audit 4.0, which is characterized by automation in the inspection and audit process. Audit has long used a computerized system, as stated in the audit standard, that one of the audit procedures is computer assisted audit techniques, which is software that is executed by the auditor. However, in this era of 4.0, software has again evolved into a robot, which can carry out the audit process itself automatically without having to be run by humans like generalized audit software. Our research discusses the development of the robotic auditing process, we use a descriptive qualitative approach. We used primary data obtained from inquiry and literature review. Our research results state that although the auditing process automation robot has many advantages including being able to lighten the work of auditors, increase efficiency and effectiveness, there are also weaknesses and challenges that must be addressed, such as resistance from the auditors themselves and issues of legality, legal liability and responsibility of robot if negligence occurs.

References

  1. M. Tarek, E. K. A. Mohamed, M. M. Hussain, and M. A. K. Basuony, “The implication of information technology on the audit profession in developing country: Extent of use and perceived importance,” Int. J. Account. Inf. Manag., vol. 25, no. 2, pp. 237–255, 2017, doi: 10.1108/IJAIM-03-2016-0022.Google ScholarGoogle ScholarCross RefCross Ref
  2. S. Anagnoste, “Robotic Automation Process - The next major revolution in terms of back office operations improvement,” Proc. Int. Conf. Bus. Excell., vol. 11, no. 1, pp. 676–686, 2017, doi: 10.1515/picbe-2017-0072.Google ScholarGoogle ScholarCross RefCross Ref
  3. R. Widuri, B. L. Handoko, and I. C. Prabowo, “Adoption of Information Technology in Public Accounting Firm,” 2019, doi: https://doi.org/10.1145/3335484.3335500.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. M. Rozario, “Three essays on audit innovation using social media information and disruptive technologies to enhance audit quality,” no. May, p. 218, 2019.Google ScholarGoogle Scholar
  5. Y. Devarajan, “A Study of Robotic Process Automation Use Cases Today for Tomorrow's Business,” Int. J. Comput. Tech., vol. 5, no. 6, pp. 12–18, 2018.Google ScholarGoogle Scholar
  6. R. Manita, N. Elommal, P. Baudier, and L. Hikkerova, “The digital transformation of external audit and its impact on corporate governance,” Technol. Forecast. Soc. Change, vol. 150, no. December 2018, p. 119751, 2020, doi: 10.1016/j.techfore.2019.119751.Google ScholarGoogle ScholarCross RefCross Ref
  7. B. L. Handoko, N. Ayuanda, and A. T. Marpaung, “Organizational, Social and Individual Aspect on Acceptance of Computerized Audit in Financial Audit Work,” Adv. Sci. Technol. Eng. Syst. J., vol. 5, no. 3, pp. 55–61, 2020, doi: 10.25046/aj050308.Google ScholarGoogle ScholarCross RefCross Ref
  8. M. Gotthardt, D. Koivulaakso, O. Paksoy, C. Saramo, M. Martikainen, and O. Lehner, “Current state and challenges in the implementation of smart robotic process automation in accounting and auditing,” ACRN J. Financ. Risk Perspect., vol. 9, no. 1, pp. 90–102, 2020, doi: 10.35944/JOFRP.2020.9.1.007.Google ScholarGoogle ScholarCross RefCross Ref
  9. F. Huang and M. A. Vasarhelyi, “Applying robotic process automation (RPA) in auditing: A framework,” Int. J. Account. Inf. Syst., vol. 35, no. xxxx, p. 100433, 2019, doi: 10.1016/j.accinf.2019.100433.Google ScholarGoogle ScholarCross RefCross Ref
  10. S. Hesse-Biber, “Qualitative or Mixed Methods Research Inquiry Approaches: Some Loose Guidelines for Publishing in Sex Roles,” Sex Roles, vol. 74, no. 1–2, pp. 6–9, 2016, doi: 10.1007/s11199-015-0568-8.Google ScholarGoogle ScholarCross RefCross Ref
  11. O. Doguc, “Robot Process Automation (RPA) and Its Future,” Handb. Res. Strateg. Fit Des. Bus. Ecosyst., no. September, pp. 469–492, 2019, doi: 10.4018/978-1-7998-1125-1.ch021.Google ScholarGoogle ScholarCross RefCross Ref
  12. J. Hindel, L. M. Cabrera, and M. Stierle, “Robotic process automation: Hype or hope?,” Proc. 15th Int. Conf. Bus. Inf. Syst. 2020 "Developments, Oppor. Challenges Digit. WIRTSCHAFTSINFORMATIK 2020, no. March, 2020, doi: 10.30844/wi_2020_r6.Google ScholarGoogle ScholarCross RefCross Ref
  13. C. Bleibtreu and U. Stefani, “Auditor Incentives and the Structure of the Audit Market – A Basic Model for Investigating Simultaneous Effects of Audit Market Regulations,” BFuP - Betriebswirtschaftliche Forsch. und Prax., vol. 70, no. 4, 2018, [Online]. Available: For decades, legislators worldwide have been discussing the merits of regulating their national audit markets. In this debate, the focus has primarily been on the regulations’ effects on incentives, both those of preparers of financial statements to repor.Google ScholarGoogle Scholar
  14. M. Al Balushi and N. Goel, “The Development of Robotic Process Automation (RPA) For the Efficiency of Back Office Operations at Bank Muscat,” J. Student Res., pp. 1–15, 2020, doi: 10.47611/jsr.vi.849.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Other conferences
    ICEME '21: Proceedings of the 2021 12th International Conference on E-business, Management and Economics
    July 2021
    882 pages
    ISBN:9781450390064
    DOI:10.1145/3481127

    Copyright © 2021 ACM

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    Publication History

    • Published: 2 December 2021

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