Factors Affecting the Intention to Use Data Analytics Tools by Auditors in Independent Auditing Firms in Hanoi

Hoang Xuan Hieu

doi:10.56201/jafm.vol.11.no9.2025.pg167.175

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Factors Affecting the Intention to Use Data Analytics Tools by Auditors in Independent Auditing Firms in Hanoi

Hoang Xuan Hieu

Abstract

This study aims to identify the factors affecting the intention to use data analytics (DA) tools by auditors in independent auditing firms in Hanoi. Using a qualitative research method through a systematic literature review, the paper analyzes and synthesizes secondary data from reputable academic works and professional reports. The main research result is the proposal of a comprehensive theoretical model, developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT), which identifies five core factors influencing auditors' intention to use DA: Perceived Usefulness, Perceived Ease of Use, Social Influence, Facilitating Conditions, and a crucial contextual factor, Auditor Competency. Consequently, the study provides significant managerial implications, recommending that auditing firms should develop clear technology investment and training strategies, educational institutions and professional associations should update their curricula, and auditors themselves should proactively enhance their capabilities. These recommendations provide a scientific basis for relevant stakeholders to promote digital transformation, thereby improving the quality and competitiveness of the Vietnamese audit industry. The novelty of the research lies in filling an academic gap by focusing deeply on DA tools within the specific context of an emerging market, while also constructing a theoretical model that integrates the factor of individual competency, thereby providing a valuable analytical framework for future empirical research.

Keywords

Data Analytics in AuditingIntention to UseUTAUTAuditor.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T Alles, M. G. (2015). Drivers of the use and facilitators and obstacles of the evolution of audit data analytics. Accounting Horizons, 29(2), 403–410. https://doi.org/10.2308/acch- 51067 Almagrashi, A., Mujalli, A., Khan, T., & Attia, O. (2023). Factors determining internal auditors’ behavioral intention to use computer-assisted auditing techniques: an extension of the UTAUT model and an empirical study. Future Business Journal, 9(1), https://doi.org/10.1186/s43093-023-00244-x American Institute of Certified Public Accountants (AICPA). (2017). Guide to Audit Data Analytics. AICPA. Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). An introduction to data analysis for auditors and accountants. Auditing: A Journal of Practice & Theory, 36(1), 1-13. https://doi.org/10.2308/ajpt-10542 Cao, M., Chychyla, R., & Stewart, T. (2015). Big Data analytics in financial statement audits. Accounting Horizons, 29(2), 423–429. https://doi.org/10.2308/acch-51068 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 Hampton, C., & Stratopoulos, T. C. (2016). Audit data analytics use: An exploratory analysis. SSRN. https://ssrn.com/abstract=2877358 Huerta, E., & Jensen, S. (2017). An accounting information systems perspective on data analytics and Big Data. Journal of Information Systems, 31(3), 101-114. https://doi.org/10.2308/isys-51805 Moffitt, K. C., Rozario, A. M., & Vasarhelyi, M. A. (2018). Robotic process automation for auditing. Journal of Emerging Technologies in Accounting, 15(1), 1–10. https://doi.org/10.2308/jeta-52045 Rosli, K., Yeow, P. H., & Siew, E. G. (2012). Computer-assisted auditing tools (CAATs) acceptance using I-TOE: A new paradigm. Journal of Accounting & Auditing: Research & Practice, 2012, 1-11. Tien, D. N. (2023). Factors Influencing Accounting Information Systems in Small and Medium Enterprises: The Case in Hanoi, Vietnam. International Journal of Professional Business Review, 8(6), e02034. https://doi.org/10.26668/businessreview/2023.v8i6.2034 Tiberius, V., & Hirth, S. (2019). Impacts of digitization on auditing: A Delphi study for Germany. Journal of Management Control, 30(4), 433–467. https://doi.org/10.1007/s00187-019-00291-0 Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in accounting: An overview. Accounting Horizons, 29(2), 381–396. https://doi.org/10.2308/acch-51071 Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540 Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big Data as a complementary audit evidence. Accounting Horizons, 29(2), 431–438. https://doi.org/10.2308/acch-51076

Factors Affecting the Intention to Use Data Analytics Tools by Auditors in Independent Auditing Firms in Hanoi

Abstract

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References

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