A Review of Cloud-Based Accounting Systems and Their Impact on Financial Reporting Efficiency
Authors: Apoorva Gaurav, More Tarachand Ambar
Published in: IJRRETAS, Volume 11, Issue 6, pp. 19-31 (04 Jun 2025)
Impact Factor: 7.95 (2025)
License:
CC BY 4.0 (Open Access)
Certificate: View Certificate
Abstract
Cloud-based accounting systems have moved from a niche alternative to a mainstream platform for recording transactions, closing books, and preparing financial reports. This review paper examines how cloud-based accounting systems influence financial reporting efficiency, using a comparative lens that contrasts cloud arrangements with traditional on-premises systems. The paper synthesizes evidence on conceptual foundations, adoption determinants, reporting outcomes, and risks. The literature associates cloud accounting most consistently with real-time data access, lower infrastructure burden, easier collaboration, and faster reporting cycles, particularly for small and medium-sized enterprises (SMEs). Evidence on reporting quality is more mixed and relies heavily on perceptual survey data from developing economies. Security, privacy, regulatory compliance, vendor dependence, and uneven user competence emerge as the principal constraints, while analytics and artificial intelligence are widening what cloud platforms can deliver. The review concludes that efficiency gains are real but conditional on implementation depth, governance, and organizational readiness, and it proposes directions for longitudinal, multi-country, and objective-outcome research.
Keywords
- cloud accounting
- accounting information systems
- financial reporting efficiency
- SMEs
- digital transformation
- comparative analysis
References
- Akai, N. D., Ibok, N., & Akinninyi, P. E. (2023). Cloud accounting and the quality of financial reports of selected banks in Nigeria. European Journal of Accounting, Auditing and Finance Research, 11(9), 18–42.
- Akpan, D. C., Ubokudom, A. I., Udiong, N. J., & Akpanowo, R. E. (2023). Cloud accounting and financial reporting quality of selected deposit money banks in Nigeria. Journal of Accounting and Financial Management, 9(9).
- Al-Okaily, M., Alkhwaldi, A. F., Abdulmuhsin, A. A., Alqudah, H., & Al-Okaily, A. (2023). Cloud-based accounting information systems usage and its impact on Jordanian SMEs' performance: The post-COVID-19 perspective. Journal of Financial Reporting and Accounting, 21(1), 126–155. https://doi.org/10.1108/JFRA-12-2021-0476
- Ali, Y., & Thakur, U. (2017). Awareness and adoption of cloud-based accounting by qualified chartered accountants in Udaipur district of Rajasthan: An empirical study. Indian Journal of Accounting, 49(2), 77–82.
- Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
- Dimitriu, O., & Matei, M. (2015). Cloud accounting: A new business model in a challenging context. Procedia Economics and Finance, 32, 665–671. https://doi.org/10.1016/S2212-5671(15)01447-0
- Gupta, S., Misra, S. C., Kock, N., & Roubaud, D. (2018). Organizational, technological and extrinsic factors in the implementation of cloud ERP in SMEs. Journal of Organizational Change Management, 31(1), 83–102. https://doi.org/10.1108/JOCM-06-2017-0229
- Ionescu, L. (2021). Big data analytics tools and machine learning algorithms in cloud-based accounting information systems. Analysis and Metaphysics, 20, 102–115. https://doi.org/10.22381/am2020217
- Ionescu, L. (2022). Big data processing techniques and algorithmic decision-making tools in cloud-based accounting information systems. Review of Contemporary Philosophy, 21, 256–271.
- Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122. https://doi.org/10.2308/jeta-51730
- 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, Article 100511. https://doi.org/10.1016/j.accinf.2021.100511
- Ma, D., Fisher, R., & Nesbit, T. (2021). Cloud-based client accounting and small and medium accounting practices: Adoption and impact. International Journal of Accounting Information Systems, 41, Article 100513. https://doi.org/10.1016/j.accinf.2021.100513
- 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), Article 100833. https://doi.org/10.1016/j.bar.2019.04.002
- Sastararuji, D., Hoonsopon, D., Pitchayadol, P., & Chiwamit, P. (2022). Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: An explanatory case study. Journal of Innovation and Entrepreneurship, 11(1), Article 43.
- Shetty, J. P., & Panda, R. (2023). Cloud adoption in Indian SMEs: An empirical analysis. Benchmarking: An International Journal, 30(4), 1345–1366.
- Shivarajappa, M. (2024). The impact of cloud computing on financial accounting: Evaluating the impact of cloud computing on accounting firms. ShodhKosh: Journal of Visual and Performing Arts, 5(3), 992–998. https://doi.org/10.29121/shodhkosh.v5.i3.2024.3566
- Singerová, J. (2018). Accounting in cloud. European Financial and Accounting Journal, 13(1), 61–76.
- 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
- Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big data as complementary audit evidence. Accounting Horizons, 29(2), 431–438. https://doi.org/10.2308/acch-51076
- Zhang, P. (2024). A study on the management of big data technology in financial decision-making of enterprise cloud accounting. Applied Mathematics and Nonlinear Sciences, 9(1), Article 20230208. https://doi.org/10.2478/amns.2023.2.00208
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