International Journal of Academic Research in Business and Social Sciences

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Industry Revolution 4.0: Rapid Growth of Technology May Affect Job Security in Auditing Profession: A Concept Paper

Open access

Yusri Hazrol Yusoff, Anis Syahirah Johari, Dina Adriana Mohd Rahmatullah, Nur Amirah Zainal, Nur Atiqah Tajuddin, N. T. Shanmuganathan Thilaiampalam

Pages 1188-1196 Received: 09 Jan, 2023 Revised: 11 Feb, 2023 Published Online: 13 Mar, 2023

http://dx.doi.org/10.46886/IJARBSS/v13-i3/10067
Auditing in IR 4.0 presents several challenges due to the changing nature of the business environment and the increasing complexity of organizational systems. One of the main challenges of auditing in IR 4.0 is the need for auditors to have a deep understanding of the emerging technologies that are being used by organizations. This includes the ability to analyze data generated by these technologies, understand how they are integrated into business processes, and identify potential risks associated with their use. IR 4.0 brings disruption with much more automated and technologically complex processes. The industry is entering the so-called "new generation," and keeping up with it is the most difficult challenge. Auditing firms need to consider technology investment so as to keep their competitiveness. IR 4.0 has severely impacted the labour market, including audit firms. To safeguard their profession, auditors will need to embrace the automation of current auditing procedures. This paper investigates factors that influence the job security of auditors due to the rapid growth of technology in the IR 4.0 era through an article review. Three factors are discussed which are technological, knowledge and skills, and environmental. With these insights, recommendations are proposed for auditors to be prepared for and well-suited to the IR 4.0 industry.
Abreu, P. W., Aparicio, M., Costa, C. J. (2018). Blockchain technology in the auditing environment. 13th Iberian Conference on Information Systems and Technologies, 1–6.
10.23919/CISTI.2018.8399460
American Institute of Certified Public Accountants. (2012). Statements on quality control standards (SQCSs) 8: A firm’s system of quality control, Section 10.
Berberich, G. (2005). The effects of audit methodology and audit experience on the development of auditors’ knowledge of the clients’ business.
Business, G., & Research, M. (2022). Accounting Education in the Era of IR 4.0: Exploring the Market Relevance of Auditing Courses in Malaysian Public Universities. An International Journal, 14(3s).
Curtis, M. B., & Payne, E. A. (2014). Modeling voluntary CAAT utilization decisions in auditing. Managerial Auditing Journal, 29(4), 304–326.
De Villiers, R. (2021). Seven principles to ensure future-ready accounting graduates –
a model for future research and practice. Meditari Accountancy Research, 29(6), 1354-
1380.
Earley, C. E. (2015). Data analytics in auditing: Opportunities and challenges. Business Horizons, 58(5), 493–500.
Fedyk, A., Hodson, J., Khimich, N., & Fedyk, T. (2022). Is artificial intelligence improving the audit process? Review of Accounting Studies.
Handoko, B. L., Ariyanto, S., & Warganegara, D. L. (2018). Perception of financial auditor on usage of computer assisted audit techniques. Paper presented at the 3rd International Conference on Computational Intelligence and Applications (ICCIA)
International Auditing and Assurance Standards Board. (2016). Exploring the Growing Use of Technology in the Audit, with a Focus on Data Analytics. IFAC.
ICAEW, Dubai Financial Services Authority, & DFSA. (2017). Understanding the impact of technology in audit and finance. ICAEW.
ICAEW. (2019). How artificial intelligence will impact accounting.
https://www.icaew.com/technical/technology/artificial-intelligence/artificial-intelligence-articles/how-artificial-intelligence-will-impact-accounting
International Federation of Accountants. (2019). Handbook of international education pronouncements. International Federation of Accountants
Jacky, Y., & Sulaiman, N. A. (2022). The use of data analytics in external auditing: a content analysis approach. Asian Review of Accounting, 30(1), 31–58.
Karlsen, A.-C., & Wallberg, M. (2017). The Effects of digitalization on auditors’ tools and working methods.
Knechel, W. R., Krishnan, G. V., Pevzner, M., Shefchik, L. B., & Velury, U. (2012). Audit Quality Indicators: Insights from the Academic Literature. SSRN Electronic Journal, 32(1).
Mansour, E. M. (2016). Factors affecting the adoption of computer assisted audit techniques in audit process: Findings from Jordan. Business and Economic Research, 6(1), 248–271.
Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE.
OECD. (2019). The future of work: OECD employment outlook 2019. Organisation for
Economic Co-operation and Development.
Pauceanu, A. M., Rabie, N., & Moustafa, A. (2020). Employability under the fourth
industrial revolution. Economics & Sociology, 13(3), 269-283.
Sharma, N., Sharma, G., Joshi, M., & Sharma, S. (2022). Lessons from leveraging technology in auditing during COVID-19: an emerging economy perspective. Managerial Auditing Journal, 37(7).
Taha, A. A. D., Ramo, W., & Alkhaffaf, H. H. K. (2021). Impact of external auditor–cloud specialist engagement on cloud auditing challenges. Journal of Accounting & Organizational Change, 17(3).
Yoon, K., Hoogduin, L., Zhang, L. (2015). Big Data as Complementary Audit Evidence.Accounting Horizons, 29(2), 431–438. 10.2308/acch-51076