Evaluating the Impact of Information Technology on Audit Efficiency and Effectiveness

Crossmark

Click to verify publication status

Authors

  • Cindy Dwi Fatikasari a. Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia
  • Amri Amrulloh b. Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia

Keywords:

Information Technology, Audit Efficiency, Audit Effectiveness, Cybersecurity, Technical Proficiency

Abstract

Objective: The research examines several IT effects on the audit process itself, including whether and how the use of IT tools such as audit software and data analytics, and accounting information systems affect the accuracy, speed, scope, scope, and stakeholder trust of the audit. The study also looks into the moderating effects of cybersecurity concerns and auditors’ technical knowledge on these associations.
Methods: We applied a cross-sectional survey methodology to the quantitative research design. Data was obtained from a sample of 200 auditors from various sectors (public, private and government) using a structured questionnaire. The IT usage questionnaire was used, and all variables were verified. Reliability analysis, correlation, regression analysis are the statistical methods to analyze the data.
Results: IT tools can greatly enhance the efficiency, effectiveness, and extensiveness of audits; while audit software and data analytics can improve the speed and precision of audits. On the other hand, cybersecurity fears showed a negative moderation on the relationship between IT usage and audit effectiveness. Those with greater technical skills observing greater success in utilising IT tools.
Novelty: This study is unique in one way that it examines the impact of audit software, data analytics, and accounting system on the auditing outcome by taking into consideration the moderating effect of cybersecurity and technical skills. This also provides a new perspective on the effect of IT integration on audit performance as well as highlights the importance of training and security of the IT systems.
Significance of the Study: Overall, the findings indicate that audit firms need to focus on both IT adoption with cybersecurity measures, and vigilance through training to ensure the successful integration of IT into audits. Emerging technologies associated with auditing activities, such as artificial intelligence should also be the focus of future studies.

Downloads

Download data is not yet available.

Author Biographies

  • Cindy Dwi Fatikasari, a. Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia

    Cindy Dwi Fatikasari

    Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia

  • Amri Amrulloh, b. Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia

    Amri Amrulloh, S.E, M.Ak

    Department of Accounting, Madiun State Polytechnic, Madiun, Indonesia

References

Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100218. https://doi.org/https://doi.org/10.1016/j.joitmc.2024.100218

Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/https://doi.org/10.1002/hbe2.195

Alawida, M., Omolara, A. E., Abiodun, O. I., & Al-Rajab, M. (2022). A deeper look into cybersecurity issues in the wake of Covid-19: A survey. Journal of King Saud University - Computer and Information Sciences, 34(10, Part A), 8176–8206. https://doi.org/https://doi.org/10.1016/j.jksuci.2022.08.003

Alvino, F., Di Vaio, A., Hassan, R., & Palladino, R. (2021). Intellectual capital and sustainable development: a systematic literature review. Journal of Intellectual Capital, 22(1), 76–94. https://doi.org/10.1108/JIC-11-2019-0259

Asghar, M. R., Hu, Q., & Zeadally, S. (2019). Cybersecurity in industrial control systems: Issues, technologies, and challenges. Computer Networks, 165, 106946. https://doi.org/https://doi.org/10.1016/j.comnet.2019.106946

Bauer, T. D., Estep, C., & Malsch, B. (2019). One Team or Two? Investigating Relationship Quality between Auditors and IT Specialists: Implications for Audit Team Identity and the Audit Process. Contemporary Accounting Research, 36(4), 2142–2177. https://doi.org/https://doi.org/10.1111/1911-3846.12490

Burak Gunay, H., Shen, W., & Newsham, G. (2019). Data analytics to improve building performance: A critical review. Automation in Construction, 97, 96–109. https://doi.org/https://doi.org/10.1016/j.autcon.2018.10.020

Christ, M. H., Eulerich, M., Krane, R., & Wood, D. A. (2021). New Frontiers for Internal Audit Research*. Accounting Perspectives, 20(4), 449–475. https://doi.org/https://doi.org/10.1111/1911-3838.12272

Craja, P., Kim, A., & Lessmann, S. (2020). Deep learning for detecting financial statement fraud. Decision Support Systems, 139, 113421. https://doi.org/https://doi.org/10.1016/j.dss.2020.113421

Di Vaio, A., Hassan, R., & Palladino, R. (2023). Blockchain technology and gender equality: A systematic literature review. International Journal of Information Management, 68, 102517. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2022.102517

El-Den, S., Chen, T. F., Gan, Y.-L., Wong, E., & O’Reilly, C. L. (2018). The psychometric properties of depression screening tools in primary healthcare settings: A systematic review. Journal of Affective Disorders, 225, 503–522. https://doi.org/https://doi.org/10.1016/j.jad.2017.08.060

Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019). A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities. Sustainable Cities and Society, 50, 101660. https://doi.org/https://doi.org/10.1016/j.scs.2019.101660

Ikegwu, A. C., Nweke, H. F., Anikwe, C. V., Alo, U. R., & Okonkwo, O. R. (2022). Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Cluster Computing, 25(5), 3343–3387. https://doi.org/10.1007/s10586-022-03568-5

Islam, M. S., Farah, N., & Stafford, T. F. (2018). Factors associated with security/cybersecurity audit by internal audit function. Managerial Auditing Journal, 33(4), 377–409. https://doi.org/10.1108/MAJ-07-2017-1595

Jones-Smith, J. C., Knox, M. A., Coe, N. B., Walkinshaw, L. P., Schoof, J., Hamilton, D., Hurvitz, P. M., & Krieger, J. (2022). Sweetened beverage taxes: Economic benefits and costs according to household income. Food Policy, 110, 102277. https://doi.org/https://doi.org/10.1016/j.foodpol.2022.102277

Juma’h, A. H., & Alnsour, Y. (2020). The effect of data breaches on company performance. International Journal of Accounting & Information Management, 28(2), 275–301. https://doi.org/10.1108/IJAIM-01-2019-0006

Krieger, F., Drews, P., & Velte, P. (2021). Explaining the (non-) adoption of advanced data analytics in auditing: A process theory. International Journal of Accounting Information Systems, 41, 100511. https://doi.org/https://doi.org/10.1016/j.accinf.2021.100511

La Torre, M., Botes, V. L., Dumay, J., & Odendaal, E. (2021). Protecting a new Achilles heel: the role of auditors within the practice of data protection. Managerial Auditing Journal, 36(2), 218–239. https://doi.org/10.1108/MAJ-03-2018-1836

Leocádio, D., Malheiro, L., & Reis, J. C. G. dos. (2024). Auditors in the digital age: a systematic literature review. Digital Transformation and Society, ahead-of-print(ahead-of-print). https://doi.org/10.1108/DTS-02-2024-0014

Li, H., Dai, J., Gershberg, T., & Vasarhelyi, M. A. (2018). Understanding usage and value of audit analytics for internal auditors: An organizational approach. International Journal of Accounting Information Systems, 28, 59–76. https://doi.org/https://doi.org/10.1016/j.accinf.2017.12.005

Lokanan, M., Tran, V., & Vuong, N. H. (2019). Detecting anomalies in financial statements using machine learning algorithm. Asian Journal of Accounting Research, 4(2), 181–201. https://doi.org/10.1108/AJAR-09-2018-0032

Lorentzon, J. I., Fotoh, L. E., & Mugwira, T. (2024). Remote auditing and its impacts on auditors’ work and work-life balance: auditors’ perceptions and implications. Accounting Research Journal, 37(1), 1–18. https://doi.org/10.1108/ARJ-06-2023-0158

Manita, R., Elommal, N., Baudier, P., & Hikkerova, L. (2020). The digital transformation of external audit and its impact on corporate governance. Technological Forecasting and Social Change, 150, 119751. https://doi.org/https://doi.org/10.1016/j.techfore.2019.119751

Mökander, J., Morley, J., Taddeo, M., & Floridi, L. (2021). Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations. Science and Engineering Ethics, 27(4), 44. https://doi.org/10.1007/s11948-021-00319-4

Robins, J., & Wiersema, M. F. (1995). A resource-based approach to the multibusiness firm: Empirical analysis of portfolio interrelationships and corporate financial performance. Strategic Management Journal, 16(4), 277–299. https://doi.org/https://doi.org/10.1002/smj.4250160403

Schuetz, S., & Venkatesh, V. (2020). Blockchain, adoption, and financial inclusion in India: Research opportunities. International Journal of Information Management, 52, 101936. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.04.009

Siew, E.-G., Rosli, K., & Yeow, P. H. P. (2020). Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia. International Journal of Accounting Information Systems, 36, 100445. https://doi.org/https://doi.org/10.1016/j.accinf.2019.100445

Tumpa, T. J., Ali, S. M., Rahman, M. H., Paul, S. K., Chowdhury, P., & Rehman Khan, S. A. (2019). Barriers to green supply chain management: An emerging economy context. Journal of Cleaner Production, 236, 117617. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.117617

Published

2024-12-24

How to Cite

Dwi Fatikasari, C., & Amrulloh, A. (2024). Evaluating the Impact of Information Technology on Audit Efficiency and Effectiveness. Researcher Academy Innovation Data Analysis, 1(2), 102-112. https://doi.org/10.69725/raida.v1i2.159

Share

Similar Articles

11-20 of 20

You may also start an advanced similarity search for this article.