Does the Integration of Blockchain Technology and Artificial Intelligence Enhance the Efficiency and Reliability of Accounting and Auditing Practices?

Does the Integration of Blockchain Technology and Artificial Intelligence Enhance the Efficiency and Reliability of Accounting and Auditing Practices?

Registration ID: IJNRD_213584

Published ID: IJNRDTH00114

DOI: Click Here to Get

Ezzeddine Baatout , Jdidi Boussetta

Blockchain technology, Artificial Intelligence, Accounting, Auditing.

The integration of blockchain technology and artificial intelligence (AI) has significantly transformed the landscape of accounting and auditing practices, offering novel solutions to age-old challenges. This article presents a comprehensive review of recent scientific research in this domain, highlighting the latest developments and advancements. In recent years, the intersection of blockchain and AI has led to unprecedented opportunities for enhancing transparency, accuracy, and efficiency in accounting and auditing processes. Blockchain's immutable and decentralized nature facilitates secure and tamper-resistant record-keeping, addressing concerns of fraud and data manipulation. Concurrently, AI technologies, such as machine learning and natural language processing, enable automation and real-time data analysis, thereby streamlining auditing procedures and providing valuable insights. Prominent researchers have extensively explored the synergies between blockchain and AI in the context of accounting and auditing. Hongdan Han, Radha K. Shiwakoti, Robin Jarvis, Chima Mordi, David Botchie (2023) analyzed the impact of blockchain's distributed ledger technology on financial reporting, revealing improved financial statement reliability and audit trail transparency. Additionally, by Mohammed Assiri, and Mamoona Humayun (2023) introduced an AI-powered auditing system that leverages blockchain to validate transactions and detect anomalies with higher precision and reduced manual intervention. Moreover, the adoption of smart contracts, self-executing programs on blockchain, has revolutionized auditing procedures. Chen and Lee (2023) demonstrated the utilization of AI-driven smart contracts for real-time auditing, minimizing audit lag and expediting decision-making processes for auditors and stakeholders alike. As the fusion of blockchain and AI continues to evolve, researchers and practitioners envision a future where auditing will be performed with heightened accuracy, reduced costs, and enhanced real-time insights. However, challenges remain, including regulatory and privacy concerns, interoperability issues, and the need for standardization in the application of these technologies. This article sheds light on the promising developments in the integration of blockchain technology and AI in accounting and auditing. Recent scientific studies have highlighted the transformative potential of these technologies, offering novel approaches to addressing long-standing challenges in the financial sector. As the field progresses, further research and collaboration among industry stakeholders are required to fully realize the benefits of this disruptive synergy.

Published Paper   E-Certificate

"Does the Integration of Blockchain Technology and Artificial Intelligence Enhance the Efficiency and Reliability of Accounting and Auditing Practices?", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.479-520, February-2024, Available :https://ijnrd.org/papers/IJNRDTH00114.pdf

Volume 9 Issue 2, February-2024

Pages : 479-520

Paper Reg. ID: IJNRD_213584

Published Paper Id: IJNRDTH00114

Downloads: 000121249

Research Area: Science & Technology

Country: Hammamet, Tunis, Tunisia

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00114.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00114

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area