International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 18, No. 4, 8 Aug. 2026
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Information and Analytical Support of Tax Control in the Context of Digitalization of the Fiscal System
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Author(s)
Konon Bagrii
1,*
Oleksii Maliarchuk
1
Serhii Rylieiev
1
Volodymyr Yevdoshchak
1
Mykola Skrypnyk
1
Index Terms
Taxes, AI-driven Risk Stratification, Distributed Ledger Technologies (DLT), Autonomous Compliance Systems, e-Invoicing Platforms, High-Frequency Audit Engines
Abstract
The research objective is to formalize the cognitive stratified framework of digital fiscal control through the unification of information and analytical tools based on decomposition, topological analysis, and Unified Modelling Language (UML). The study employed the following methods: SWOT analysis of solutions for the digitalization of fiscal tax control systems, decomposition and range analysis of digitalization technologies, topological analysis of digital information and analytical tools, and UML modelling of the framework for the digitalization of fiscal tax control systems. The developed framework is presented as a conceptual and architectural design structure that integrates artificial intelligence (AI)/machine learning (ML) risk stratification, Distributed Ledger Technology (DLT) traceability, autonomous compliance, and P2P interoperability to outline architectural integrity and procedural resilience as intended design properties rather than empirically demonstrated effects. SWOT, decomposition and range analysis, as well as topological analysis supported the identification of a unitary routing logic for risk, compliance, and verification flows that may contribute to fiscal transparency and evasion risk mitigation under subsequent pilot testing. The academic novelty is associated with the systemic identification, decomposition, structured organization, and topological mapping of information-analytical tools of fiscal control, which enabled the formal representation of a cognitively stratified architectural and functional topology of a digital fiscal control framework using UML modelling.
Cite This Paper
Konon Bagrii, Oleksii Maliarchuk, Serhii Rylieiev, Volodymyr Yevdoshchak, Mykola Skrypnyk, "Information and Analytical Support of Tax Control in the Context of Digitalization of the Fiscal System", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.18, No.4, pp. 16-31, 2026. DOI:10.5815/ijieeb.2026.04.02
Reference
[1]N. Poliova, L. Polova, S. Stepanenko, Y. Izmailov, V. Varenyk and O. Akimov, “Organizational and economic principles of financial monitoring of national business entities in the context of national security”, Edelweiss Applied Science and Technology, vol. 8, no. 6, pp. 1455–1466, 2024. https://doi.org/10.55214/25768484.v8i6.2262
[2]D. Kobets, K. Kovalska, N. Zozulia, T. Lozynska and M. Zaslavska, “The effectiveness of data analytics tools in the implementation of human resource management strategies”, International Review of Management and Marketing, vol. 15, no. 2, pp. 310–316, 2025. https://doi.org/10.32479/irmm.17925
[3]D. Kobets, O. Vorkunova, L. Yaremenko, V. Krasnoshchok and O. Zhurba, “Using big data to increase the efficiency of business processes in the digital economy of Ukraine”, Periodicals of Engineering and Natural Sciences (PEN), vol. 13, no. 1, pp. 97–110, 2025. https://doi.org/10.21533/pen.v13.i1.279
[4]D. Dallhammer and C. Renelt, “Digitalization and tax control frameworks”, WU International Taxation Research Paper Series, vol. 2025, no. 03, 2025. https://doi.org/10.2139/ssrn.5178245
[5]M. Ariani, W. Abdullah and Z. Zulhawati, “Digitalization and tax reform as a strategy to increase taxpayer compliance”, International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC), vol. 3, no. 3, pp. 948–963, 2025. https://doi.org/10.61990/ijamesc.v3i3.521
[6]Q. Zhao and W. Wang, “Tax digitization and earnings management”, International Review of Economics & Finance, vol. 100, art. 104077, 2025. https://doi.org/10.1016/j.iref.2025.104077
[7]B. Costa, H. N. R. Ribeiro, A. C. F. da Silva and A. P. Monteiro, “Digital transformation of tax authority and accounting professionals”, In Innovation and Sustainability in Digital Era, pp. 75–90, Springer, 2025. https://shorturl.at/jXu7j
[8]G. Wu and Y. Li, “Tax-related information regulatory capacity and enterprise accounting information quality”, International Review of Financial Analysis, vol. 99, art. 103929, 2025. https://doi.org/10.1016/j.irfa.2025.103929
[9]G. R. Murodovich and S. Zafar, “Economic efficiency and role of digitalization of the tax system”, American Journal of Business Management, vol. 3, no. 4, pp. 57–69, 2025. https://doi.org/10.5281/zenodo.15305053
[10]A. O. Fadipe, F. A. Fadipe and G. O., “Tax administration digitalization and sustainable development in Nigeria”, International Journal of Management Science and Business Analysis Research, vol. 7, no. 7, pp. 61–96, 2025. https://doi.org/10.70382/caijmsbar.v7i7.005
[11]M. G. Ramkumar and C. Srinivasan, “A study on benefits of data analytics tools in indirect tax administration and management – with reference to GST in India”, Science, Education and Innovations in the Context of Modern Problems, vol. 8, no. 4, pp. 744–754, 2025. https://doi.org/10.56352/sei/8.4.79
[12]E. Uygun, “The use of information technologies in tax inspections within the framework of digital transformation in Türkiye”, Kapanaltı Dergisi, vol. 7, pp. 1–18, 2025. https://dergipark.org.tr/tr/pub/kmfed/issue/90970/1643177
[13]M. M. Iqbal, M. Ali, H. Usman and D. T. A. Shaikh, “The future of smart tax systems: Integrating artificial intelligence, blockchain, and autonomous compliance technologies for transparent and efficient tax administration”, Journal of Social Sciences and Economics, vol. 4, no. 1, pp. 100–109, 2025. https://doi.org/10.61363/hhnkcz03
[14]A. T. Adegbayibi and M. K. Ajape, “Integration of artificial intelligence into taxation processes”, In Contributions to Finance and Accounting, pp. 103–125, Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87368-3_7
[15]M. H. Sajid, A. Ali and A. K. Jadoon, “Smart tax systems and artificial intelligence: Transforming compliance and enforcement in the digital era”, Annual Methodological Archive Research Review, vol. 3, no. 3, pp. 157–176, 2025. https://doi.org/10.63075/y7qg5262
[16]M. Larikaman, M. Salehi and N.-M. Yaghubi, “The impact of applying blockchain technology in the tax system: Opportunities and challenges”, Journal of Financial Reporting and Accounting, vol. 23, no. 2, pp. 639–659, 2025. https://doi.org/10.1108/jfra-11-2023-0641
[17]E. Liu, “Development and evaluation of a blockchain-based financial audit tracking system for mobile platforms”, International Journal of Interactive Mobile Technologies (iJIM), vol. 19, no. 03, pp. 73–86, 2025. https://doi.org/10.3991/ijim.v19i03.53947
[18]C. Kotsogiannis, L. Salvadori, J. Karangwa and I. Murasi, “E-invoicing, tax audits and VAT compliance”, Journal of Development Economics, vol. 172, art. 103403, 2025. https://doi.org/10.1016/j.jdeveco.2024.103403
[19]S. F. Alroud, “The moderation role of e-invoicing in national trade: The impact of IT auditing on e-accounting information systems at Jordanian customs points”, Edpacs, vol. 70, no. 1, pp. 1–30, 2025. https://doi.org/10.1080/07366981.2024.2418771
[20]S. Hussain, “Automated tax processing systems: A digital accounting revolution”, ResearchGate, 2025. https://doi.org/10.13140/RG.2.2.10338.64966
[21]I. H. Shah, “Assessing the influence of artificial intelligence on corporate tax compliance and financial reporting”, SSRN Electronic Journal, pp. 1–23, 2025. https://doi.org/10.2139/ssrn.5346545
[22]V. Almalı and A. Yıldırım, “The potential of e-government applications to mitigate corruption: An empirical investigation”, Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomik Araştırmalar Dergisi, vol. 27, no. 48, pp. 266–279, 2025. https://doi.org/10.18493/kmusekad.1494175
[23]S. Demirkıran, “Leading countries in the digitalization of public services: Estonia, Singapore, the United Kingdom, Norway and South Korea”, Akdeniz Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 25, no. 1, pp. 43–59, 2025. https://doi.org/10.25294/auiibfd.1504321
[24]C. Xu, T. Bai, C. Zhou and S. Huang, “Digital tax administration and enterprise innovation: Evidence from the Golden Tax Project III in China”, Research in International Business and Finance, vol. 77 (Part A), art. 102829, 2025. https://doi.org/10.1016/j.ribaf.2025.102829
[25]L. Su, “Tax administration digitization and corporate tax avoidance: A quasi-natural experiment based on the Golden Tax III project in China”, Baltic Journal of Economics, vol. 25, no. 1, pp. 175–199, 2025. https://doi.org/10.1080/1406099x.2025.2488723
[26]R. Z. S. Tohir o'g, “Ways to reduce the shadow economy in the Republic of Uzbekistan through tax instruments”, International Conference on Multidisciplinary Sciences and Educational Practices, pp. 90–95, 2025. https://econfseries.com/index.php/7/article/view/1453
[27]A. S. Nodirsho o‘g‘li, “Issues of expanding the base of tax authorities in Uzbekistan through modern information and communication technologies”, In Scientific Conference on Multidisciplinary Studies, pp. 231–237, Bursa, 2025. https://econfseries.com/index.php/3/article/view/739
[28]C. Cheng, S. Rhoades-Catanach, P. Sapkota and A. J. N. Yurko, “A data analytics teaching case investigating profitable firms that have zero or negative tax expense”, Issues in Accounting Education, pp. 1–19, 2025. https://doi.org/10.2308/issues-2024-008
[29]P. Kate, T. Shruti and R. K., “Analysis of financial statements of previous years to forecast revenue and reduce expenses”, In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 743–748, IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984537
[30]T. F. Yanto and M. W. Girindratama, “Impact of E-Filing and E-Billing on tax compliance behavior”, Jurnal Riset Terapan Akuntansi, vol. 9, no. 1, pp. 168–176, 2025. https://doi.org/10.5281/zenodo.15546279
[31]D. Meilandri, “Transformation of Indonesia's tax system through CoreTax: A qualitative study in the digital era”, Sustainability Accounting Journal, vol. 2, no. 1, pp. 51–56, 2025. https://e-journal.upr.ac.id/index.php/SAJ/article/view/19497
[32]T. S. Win, “A comparative study of legal mechanisms for inter-agency tax data sharing: The cases of Myanmar and Republic of Korea”, SSRN Electronic Journal, vol. 7, 2025. https://doi.org/10.2139/ssrn.5259049
[33]X. Oberson, “Taxation of artificial intelligence”, In E. O. Ekhator, N. U. Richards and C. Onyejekwe (eds.), Research Handbook on the Law of Artificial Intelligence, pp. 636–651, Edward Elgar Publishing, 2025. https://doi.org/10.4337/9781035316496.00037
[34]O. Vincent and O. Evans, “Digital taxation”, In E. O. Ekhator, N. U. Richards and C. Onyejekwe (eds.), Taxation, Human Rights, and Sustainable Development, pp. 203–216, Routledge, 2025. https://doi.org/10.4324/9781003432890-13
[35]D. A. Garza de la Vega and F. A. Romero Jarrín, “Taxation in the digital sector: Challenges and opportunities for tax and economic law”, Revista Cálamo, vol. 23, pp. 48–64, 2025. https://doi.org/10.61243/calamo.23.465
[36]L. E. Ikundi, “An appraisal of the legal and institutional framework on digital taxation in Cameroon”, Studies in Law and Justice, vol. 4, no. 1, pp. 31–45, 2025. https://www.pioneerpublisher.com/slj/article/view/1201
[37]Y. Zhang, Z. Yang, Z. Fang, M. Wang and E. Dunlop, “Does knowledge digitalization boost innovation? Empirical evidence from taxation organizations in China”, Journal of Knowledge Management, vol. 29, no. 6, pp. 1814–1834, 2025. https://doi.org/10.1108/jkm-04-2024-0450
[38]A. Qodirov, “Issues of organizing tax control and its digitalization”, Green Investments and Financial Technologies: Opportunities and Challenges for Uzbekistan, vol. 9, no. 0009, 2025. https://research.nordicuniversity.org/index.php/nordic/article/view/2474
[39]Y. Li, “Toward a legislative framework for data taxation in the digital economy”, US-China Law Review, vol. 22, no. 2, pp. 89–94, 2025. https://doi.org/10.17265/1548-6605/2025.02.004
[40]S. Slimani, “Measuring the impact of digitalization on modernization in tax administration: A field study of a sample of tax administrations in the Wilaya of Constantine”, Idafat Iqtisadiya: Journal of Economic Additions, vol. 9, no. 1, pp. 657–676, 2025. https://asjp.cerist.dz/en/article/265199
[41]D. A. Rahmawati, H. Haryono, B. Endarto, R. Sanusi and Y. A. Prayogi, “Legal framework and taxation challenges on digital services in Indonesia: A normative legal analysis”, The Easta Journal Law and Human Rights, vol. 3, no. 03, pp. 223–230, 2025. https://doi.org/10.58812/eslhr.v3i03.649
[42]M. Heinemann and W. Stiller, “Digitalization and cross-border tax fraud: Evidence from e-invoicing in Italy”, International Tax and Public Finance, vol. 32, pp. 195–237, 2025. https://doi.org/10.1007/s10797-023-09820-x
[43]L. Fodil and A. Khanoussa, “The role of digitization and artificial intelligence in developing the tax system in Algeria”, Revue Finance & Marchés, vol. 12, no. 1, pp. 46–63, 2025. https://asjp.cerist.dz/index.php/en/article/264959