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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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DATA GOVERNANCE AND ETHICAL ISSUES IN ACCOUNTING TECHNOLOGY

AUTHORS:
CMA Venkata Ramesh Tumu
Neelam Padmalatha
Mentor
Affiliation
Bhavan’s Vivekananda College of Commerce
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Purpose: The introduction of advanced technologies like artificial intelligence (AI), blockchain, and enterprise resource planning (ERP) systems has transformed accounting practices, allowing for quicker processing, greater transparency, and more informed decision-making. Despite these benefits, they also bring up crucial concerns related to data governance and ethical responsibility. This paper explores how governance frameworks and ethical standards can be applied to ensure trust, adherence to regulations, and integrity in technology-driven accounting settings.

Methodology: This study utilizes a conceptual and case-based approach, referencing regulatory frameworks such as IFRS, Indian Accounting Standards (Ind AS), GDPR, and the EU AI Act. It addresses ethical challenges like bias in AI predictions, transparency in disclosures, risks of fraud in digital records, and responsibility for technology-driven mistakes. Case studies, including ERP breaches revealing client information, incorrect reporting of crypto assets due to a lack of standards, and inaccuracies in ESG reporting, are analyzed to demonstrate real-world issues.

Findings: The research finds that strong data governance ensures accuracy, integrity, and compliance, while ethical oversight protects stakeholder trust. Weak governance leaves organizations vulnerable to cybersecurity threats, harm to reputation, and regulatory fines. Excessive reliance on automation without professional skepticism weakens ethical judgment, while emerging areas such as ESG reporting and blockchain require new accountability frameworks. The findings highlight that accountants must transition from traditional record keepers to digital stewards of trust.

Implications: The paper suggests practical strategies, including forming AI governance councils, performing regular audits for bias and security, and incorporating ESG metrics into accounting systems. It advocates for a balanced approach where innovation aligns with compliance and ethics, ensuring that technology bolsters rather than compromises financial integrity. By embedding governance and ethical principles into accounting technology, organizations can enhance stakeholder trust and create resilient financial systems.

 
Keywords
Data Governance Accounting Technology Ethical Issues Artificial Intelligence Blockchain ERP Systems ESG Reporting Compliance Cybersecurity Financial Integrity
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Tumu, C. V. R. & Padmalatha, N. (2026). Data Governance and Ethical Issues in Accounting Technology. International Journal of Science, Strategic Management and Technology, 02(11), 1-9. https://doi.org/10.55041/ijsmt.v2i11.017

Tumu, CMA, and Neelam Padmalatha. "Data Governance and Ethical Issues in Accounting Technology." International Journal of Science, Strategic Management and Technology, vol. 02, no. 11, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i11.017.

Tumu, CMA, and Neelam Padmalatha. "Data Governance and Ethical Issues in Accounting Technology." International Journal of Science, Strategic Management and Technology 02, no. 11 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i11.017.

References

  • Al-Sartawi, A. M. A. M. (2020). Information technology and the accounting profession: A review and synthesis of the literature. Journal of Financial Reporting and Accounting, 18(2), 321–342.

  • Arnaboldi, M., Busco, C., & Cuganesan, S. (2017). Accounting and performance measurement in the digital era: Large-scale possibilities and challenges. Accounting, Auditing & Accountability Journal, 30(4), 762–768.

  • European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.

  • European Union. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council (General Data Protection Regulation - GDPR). Official Journal of the European Union.

  • International Accounting Standards Board (IASB). (2023). IFRS Accounting Standards: Required Annotated IFRS Standards. IFRS Foundation.

  • Ministry of Law and Justice, Government of India. (2023). The Digital Personal Data Protection Act, 2023 (No. 22 of 2023). The Gazette of India.

  • 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.

  • Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in accounting: An overview. Accounting Horizons, 29(2), 381–396.

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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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