The Impact of Digital Procedures in Accounting and Auditing on Tax Collection Efficiency
DOI:
https://doi.org/10.58423/2786-6742/2024-6-300-306Keywords:
Digital accounting, auditing, taxation, technologyAbstract
In the past, auditors would review financial statements and other documents at the conclusion of an accounting period as part of their routine auditing activity. Nonetheless, because of the availability of real-time data and sophisticated monitoring methods in the digital age, auditors may do continuous auditing. Continuous auditing allows auditors to spot irregularities or possible hazards as they arise by continuously monitoring financial transactions. Using technology, auditors can improve internal controls, give prompt feedback, and proactively reduce risks. Thus, this study aims at examining the digital procedures accounting and auditing on tax collection efficiency. The study uses the quantitative approach through survey of 150 persons work in the field of tax inspectors of Oman Tax Authority. This study uses Smart-PLS as statistical instruments to analyses its hypotheses. The results demonstrated digital procedures accounting and auditing has a significant and positive influence on tax collection efficiency in Tax Authority in Oman. The theoretical framework of this work could be helpful to understand digital factors to growing active tax collection. For auditors, the digital era has created a world of opportunities that allow them to provide their clients with more efficiency, accuracy, and value. Through continuous auditing and data analytics, auditors can find valuable insights, minimize risks, and optimize their procedures. However, auditors need to keep up with these technical developments, update their knowledge, and keep a close eye on how the digital world is changing. The novelty of the current work lies in examining the link between auditing and digital transformation, taking into account the utilization of factors and their contribution to the enhancement of tax authorities. It also highlights the role of real-time data analysis in improving auditors' decision-making abilities. This study is particularly unique in the context of developing countries, especially in the Arabian Gulf, and specifically within Oman.
References
Alabdullah, T. T. Y., Hussein, Z. A. A. (2023). Risk Management, Female Leadership and Project Management Performance: A study in Oman. International Journal of Scientific and Management Research, 6(6), 77-94. DOI: https://doi.org/10.37502/IJSMR.2023.6606
Alabdullah, T. T. Y., Awang, M. I., Sobirov, B., Multazam, M. T., & Wardana, M. D. (2023). of the International Conference on Intellectuals’ Global Responsibility (ICIGR 2022). DOI: https://doi.org/10.2991/978-2-38476-052-7
Oleiwi, R. (2023). The extent to which textbooks fulfill the requirements of digital transformation in accounting and auditing. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 8(5), 18. DOI: https://doi.org/10.26668/businessreview/2023.v8i5.1509
Farcane, N., Bunget, O. C., Blidisel, R., Dumitrescu, A. C., Deliu, D., Bogdan, O., & Burca, V. (2023). Auditors’ perceptions on work adaptability in remote audit: a COVID-19 perspective. Economic Research-Ekonomska Istraživanja, 36(1), 422-459. DOI: https://doi.org/10.1080/1331677X.2022.2077789
Bakarich, K. M., & O'Brien, P. E. (2021). The robots are coming … but aren't here yet: The use of artificial intelligence technologies in the public accounting profession. Journal of Emerging Technologies in Accounting, 18(1), 27–43. https://doi.org/10.2308/JETA-19-11-20-47 DOI: https://doi.org/10.2308/JETA-19-11-20-47
Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833. DOI: https://doi.org/10.1016/j.bar.2019.04.002
Appelbaum, D. A., Kogan, A., and Vasarhelyi, M. A. (2018). Analytical Procedures in External Auditing: A Comprehensive Literature Survey and Framework for External Audit Analytics. Journal of Accounting Literature, 40, 83-101. DOI: https://doi.org/10.1016/j.acclit.2018.01.001
Hussain, H. N., Alabdullah, T. T. Y., & Jamal, K. A. M. (2023). Time Management as a Critical Success Factor in the Oil Industry of Basra Governorate: An Accounting Information Systems Study. International Journal of Scientific and Management Research, 6(6), 59-76. DOI: https://doi.org/10.37502/IJSMR.2023.6605
Hussain, H. N., Alabdullah, T. T. Y., Ries, E., & Jamal, K. A. M. (2023). Implementing Technology for Competitive Advantage in Digital Marketing. International Journal of Scientific and Management Research, 6(6), 95-114. DOI: https://doi.org/10.37502/IJSMR.2023.6607
Krieger, F., Drews, P., and Velte, P. (2021). Explaining the (Non-) Adoption of Advanced Data Analytics in Auditing: A Process Theory. International Journal of Accounting Information Systems, 41(100511). DOI: https://doi.org/10.1016/j.accinf.2021.100511
Lamboglia, R., Lavorato, D., Scornavacca, E., and Za, S. (2020). Exploring the Relationship Between Audit and Technology: A Bibliometric Analysis. Meditari Accountancy Research, 29(5), 1233-1260. DOI: https://doi.org/10.1108/MEDAR-03-2020-0836
Vitali, S., & Giuliani, M. (2024). Emerging digital technologies and auditing firms: Opportunities and challenges. International Journal of Accounting Information Systems, 53, 100676. DOI: https://doi.org/10.1016/j.accinf.2024.100676
Tenyukh, Z., Pelekh, U., & Khocha, N. (2022). Application of Digital Technologies in Accounting and Auditing at Enterprises of Ukraine. Scientific Bulletin of Mukachevo State University. Series “Economics”, 4(9), 46-55. DOI: https://doi.org/10.52566/msu-econ.9(4).2022.46-55
Syrtseva, S., Burlan, S., Katkova, N., Cheban, Y., Pisochenko, T., & Kostyrko, A. (2021). Digital technologies in the organization of accounting and control of calculations for tax liabilities of budgetary institutions. Studies of Applied Economics, 39(7). DOI: https://doi.org/10.25115/eea.v39i7.5010
Uzhva, A., Belinska, S., & Lazarieva, O. (2022). Accounting and analytical support of enterprises in the digital economy. Scientific Bulletin of National Mining University, (3). DOI: https://doi.org/10.33271/nvngu/2022-3/136
Iansiti, M., & Lakhani, K. R. (2017). The Truth About Blockchain. Harvard Business Review, 95(1), 118-127.
Alsarmi, Y. N. A., & Ahemed, E. R. (2022). Determinants of Efficiency of Tax’s Collection in Oman. JABE (Journal of Accounting and Business Education), 7(1), 59-71.
Sekaran, U. (2003), Research Methods for Businesses, 4th ed., John Wiley and Sons, Hoboken, New Jersey.
Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, 7th ed., Prentice-Hall, Englewood Cliffs.
Lohmöller, J.B. (1989), “Predictive vs. structural modeling: PLS vs. ML”, Latent Variable Path Modeling with Partial Least Squares, Physica, Heidelberg, pp. 199-226. DOI: https://doi.org/10.1007/978-3-642-52512-4_5
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