Investigating the Role of Blockchain Technology and Artificial Intelligence in the Enhancement and Improvement of Accounting Information Systems Using an Interpretive Structural Approach

Blockchain technology and artificial intelligence can significantly enhance accounting information systems. Blockchain, by providing an immutable and transparent record of transactions, increases data reliability and security and enables accurate and real-time tracking of financial information. On the other hand, artificial intelligence, by analyzing big data and identifying patterns, can assist in improving financial forecasts, detecting fraud, and automating accounting processes. Together, these two technologies increase the efficiency, accuracy, and transparency of accounting systems, leading to improved decision-making. Therefore, this study was conducted to investigate the role of blockchain technology and artificial intelligence in enhancing and improving accounting information systems using an interpretive structural approach. The data required for the study were collected through interviews with expert accountants who had full familiarity with information technology, blockchain, and artificial intelligence. In this research, using Interpretive Structural Modeling (ISM), a framework for enhancing and improving accounting information systems based on blockchain technology and artificial intelligence was designed. Based on interpretive structural modeling, a total of 15 components were presented within three dimensions in the final ISM model. The components of reducing human error, managing and processing big data, improving process automation, forecasting and analyzing processes, and enhancing computations were placed under the dimension of "artificial intelligence" at the third level of the model. The components of increasing information security, decentralization, cost reduction, enhancing speed and efficiency, transaction transparency, and standardization were placed under the dimension of "blockchain technology" at the second level of the model. Additionally, the components of increasing information security, improving the accuracy and speed of reporting, enhancing transparency and reliability, and the enhancement and improvement of software were categorized under the dimension of "enhancement and improvement of accounting information systems" at the third level of the model.

Authors

Institutions

Publication Details

Journal
Business Marketing and Finance Open
Published
2025-01-01
DOI
https://doi.org/10.61838/bmfopen.2.4.8
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Role of Blockchain Technology and Artificial Intelligence in the Enhancement and Improvement of Accounting Information Systems Using an Interpretive Structural Approach

Habib Piri, Ali Payan, Reza Sotudeh, Amrollah Zeinali Kermani
Business Marketing and Finance Open
Blockchain Technology Applications and Security
article

Investigating the Role of Blockchain Technology and Artificial Intelligence in the Enhancement and Improvement of Accounting Information Systems Using an Interpretive Structural Approach

Habib Piri, Ali Payan, Reza Sotudeh, Amrollah Zeinali Kermani
article en

Abstract

Blockchain technology and artificial intelligence can significantly enhance accounting information systems. Blockchain, by providing an immutable and transparent record of transactions, increases data reliability and security and enables accurate and real-time tracking of financial information. On the other hand, artificial intelligence, by analyzing big data and identifying patterns, can assist in improving financial forecasts, detecting fraud, and automating accounting processes. Together, these two technologies increase the efficiency, accuracy, and transparency of accounting systems, leading to improved decision-making. Therefore, this study was conducted to investigate the role of blockchain technology and artificial intelligence in enhancing and improving accounting information systems using an interpretive structural approach. The data required for the study were collected through interviews with expert accountants who had full familiarity with information technology, blockchain, and artificial intelligence. In this research, using Interpretive Structural Modeling (ISM), a framework for enhancing and improving accounting information systems based on blockchain technology and artificial intelligence was designed. Based on interpretive structural modeling, a total of 15 components were presented within three dimensions in the final ISM model. The components of reducing human error, managing and processing big data, improving process automation, forecasting and analyzing processes, and enhancing computations were placed under the dimension of "artificial intelligence" at the third level of the model. The components of increasing information security, decentralization, cost reduction, enhancing speed and efficiency, transaction transparency, and standardization were placed under the dimension of "blockchain technology" at the second level of the model. Additionally, the components of increasing information security, improving the accuracy and speed of reporting, enhancing transparency and reliability, and the enhancement and improvement of software were categorized under the dimension of "enhancement and improvement of accounting information systems" at the third level of the model.

Business Marketing and Finance OpenVol. 2(4)
Islamic Azad University, Zahedan Branch (IR)
Openalex Percentile: Top 81%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.