IDEAS home Printed from https://ideas.repec.org/a/tec/busine/v2y2022i1p45-53.html
   My bibliography  Save this article

Design Expert System for Auditing Financial Accounts

Author

Listed:
  • Khalid Al-Bakoaa, Abdul Rahman

Abstract

This paper presents an account audition system based on (Expert System), an artificial intelligence technique. This paper presents an account audition system based on (Expert System), an artificial intelligence technique. Since the limited studies dealt with using artificial intelligence in a general and expert system in auditing accounts in Iraq (within the researcher's knowledge limits), the researcher tried to tackle these two subjects in his current study to apply them in reality. The expert system that is designed within rules and facts of knowledge base analyzes, audits, and extracts data from financial tables within accounting distributions consist included such as names of accounts and their numbers whose values are represented within cost centers represented by certain symbolic numbers that differ from one institution to another and obtaining the required results by using an applicable knowledge base. The Proposed system approach offers a practical method of auditing and distributing the required data by using the expert systems manually by many auditors. Using the expert system led to lessening time and effort taken to make audits and the accuracy of obtaining results.

Suggested Citation

  • Khalid Al-Bakoaa, Abdul Rahman, 2022. "Design Expert System for Auditing Financial Accounts," Technium Business and Management, Technium Science, vol. 2(1), pages 45-53.
    • Handle: RePEc:tec:busine:v:2:y:2022:i:1:p:45-53
    DOI: 10.47577/business.v2i1.6141
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/business/article/view/6141
    Download Restriction: no
    File URL: https://techniumscience.com/index.php/business/article/view/6141
    Download Restriction: no
    File URL: https://libkey.io/10.47577/business.v2i1.6141?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    2. Gray, Glen L. & Chiu, Victoria & Liu, Qi & Li, Pei, 2014. "The expert systems life cycle in AIS research: What does it mean for future AIS research?," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 423-451.
    3. Ricardo Carreño & Verónica Aguilar & Daniel Pacheco & Marco Antonio Acevedo & Wen Yu & María Elena Acevedo, 2019. "An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 87-104, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ravi Seethamraju & Angela Hecimovic, 2023. "Adoption of artificial intelligence in auditing: An exploratory study," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 780-800, November.
    2. Fadi Bou Reslan & Nada Jabbour Al Maalouf, 2024. "Assessing the Transformative Impact of AI Adoption on Efficiency, Fraud Detection, and Skill Dynamics in Accounting Practices," JRFM, MDPI, vol. 17(12), pages 1-16, December.
    3. Muhammad Khairuldin Al Hafiz Ismail & Wan Ahmad Aqief Muhaideen Ahmad Rajiun & Saidatul Shahnaz Binti Mustapa Kamal & Nurin Irdina Azmidal & Nurfatihah Izzati Sharul Nizam & Nur Danisha Iman Mohammad , 2024. "AI-Powered Internal Auditing: Transforming the Profession for a New Era," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 2406-2413, October.
    4. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    5. Andrea Cardoni & Evgeniia Kiseleva & Francesco De Luca, 2020. "Continuous auditing and data mining for strategic risk control and anticorruption: Creating “fair” value in the digital age," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3072-3085, December.
    6. Adrian GROȘANU & Melinda-Timea FÜLÖP & Nicolae MĂGDAȘ, 2024. "Ethical Dilemmas in Digital Accounting: A Comprehensive Literature Review," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(4), pages 56-67, April.
    7. Ballantine, Joan & Boyce, Gordon & Stoner, Greg, 2024. "A critical review of AI in accounting education: Threat and opportunity," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 99(C).
    8. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
    9. Bonsón, Enrique & Lavorato, Domenica & Lamboglia, Rita & Mancini, Daniela, 2021. "Artificial intelligence activities and ethical approaches in leading listed companies in the European Union," International Journal of Accounting Information Systems, Elsevier, vol. 43(C).
    10. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Radu USZKAI & Cristina VOINEA & Toni GIBEA, 2021. "Responsibility Attribution Problems In Companies: Could An Artificial Moral Advisor Solve This?," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 951-959, November.
    12. Ani STOYKOVA, 2024. "AI in Accounting: Insights from a Bibliometric Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(8), pages 56-71, August.
    13. Karim, Mohammed Shamsul & Nahar, Sharmin & Demirbag, Mehmet, 2022. "Resource-Based Perspective on ICT Use and Firm Performance: A Meta-analysis Investigating the Moderating Role of Cross-Country ICT Development Status," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    14. Khowanas Saeed Qader & Kemal Cek, 2023. "Analysis of the Impact of External Auditors’ Autonomy on Financial Accounting Information Quality Case Study Commercial Banks in Northern Iraq," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    15. Jake B. Telkamp & Marc H. Anderson, 2022. "The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 961-976, July.
    16. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
    17. Delia DELIU, 2024. "Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 22(176), pages 724-741, October.
    18. Miller Gloria J., 2022. "Stakeholder-accountability model for artificial intelligence projects," Journal of Economics and Management, Sciendo, vol. 44(1), pages 446-494, January.
    19. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    20. Feng, Jianghong & Ning, Yu & Wang, Zhaohua & Li, Guo & Xiu Xu, Su, 2024. "ChatGPT-enabled two-stage auctions for electric vehicle battery recycling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tec:busine:v:2:y:2022:i:1:p:45-53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Maria Golita (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.