IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i8p353-d1455482.html
   My bibliography  Save this article

The Role of Artificial Intelligence in Eliminating Accounting Errors

Author

Listed:
  • Moustafa Al Najjar

    (Accounting Department, Beirut Arab University, Beirut 1105, Lebanon)

  • Mohamed Gaber Ghanem

    (Accounting Department, Beirut Arab University, Beirut 1105, Lebanon
    Accounting Department, Alexandria University, Alexandria 21526, Egypt)

  • Rasha Mahboub

    (Accounting Department, Beirut Arab University, Beirut 1105, Lebanon)

  • Bilal Nakhal

    (Mathematics and Computer Science Department, Beirut Arab University, Beirut 1105, Lebanon)

Abstract

This study investigates the impact of artificial intelligence (AI) on reducing accounting errors from two distinct angles: that of accounting software developers and of certified public accountants. We employ a questionnaire-based approach informed by prior research and validated through pilot testing. Our findings reveal significant benefits for software developers. AI effectively addresses various accounting errors, including tax rate discrepancies, cutoff period inaccuracies, principal violations, concealed transactions, mathematical mistakes, and manipulation errors. However, when considering users, AI’s effectiveness varies. While it successfully mitigates certain errors, such as those related to principles, it falls short in eliminating mathematical errors. This research contributes fresh insights into the role of AI in accounting within emerging markets, enhancing our understanding of its potential and limitations.

Suggested Citation

  • Moustafa Al Najjar & Mohamed Gaber Ghanem & Rasha Mahboub & Bilal Nakhal, 2024. "The Role of Artificial Intelligence in Eliminating Accounting Errors," JRFM, MDPI, vol. 17(8), pages 1-15, August.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:8:p:353-:d:1455482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/8/353/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/17/8/353/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amelia S. Carr & Man Zhang & Inge Klopping & Hokey Min, 2010. "RFID Technology: Implications for Healthcare Organizations," American Journal of Business, Emerald Group Publishing Limited, vol. 25(2), pages 25-40, October.
    2. Firas Hashem & Rateb Alqatamin, 2021. "Role of Artificial Intelligence in Enhancing Efficiency of Accounting Information System and Non-Financial Performance of the Manufacturing Companies," International Business Research, Canadian Center of Science and Education, vol. 14(12), pages 1-65, December.
    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. Larson, Ronald B. & Brown, Anna K., 2013. "Considering Stakeholders when Implementing New Technologies," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150975, Agricultural and Applied Economics Association.
    2. Yazici, Hulya Julie, 2014. "An exploratory analysis of hospital perspectives on real time information requirements and perceived benefits of RFID technology for future adoption," International Journal of Information Management, Elsevier, vol. 34(5), pages 603-621.
    3. Yu Yang & Zecheng Yin, 2023. "Accountancy for E-Business Enterprises Based on Cyber Security," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 19(6), pages 1-17, April.
    4. Hemlata Gangwar & Hema Date & R. Ramaswamy, 2015. "Developing a Cloud-Computing Adoption Framework," Global Business Review, International Management Institute, vol. 16(4), pages 632-651, August.
    5. Kai-Ping Huang & Karen Wang, 2013. "The moderating effect of social capital and environmental dynamism on the link between entrepreneurial orientation and resource acquisition," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1617-1628, April.
    6. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    7. Fosso Wamba, Samuel & Anand, Abhijith & Carter, Lemuria, 2013. "A literature review of RFID-enabled healthcare applications and issues," International Journal of Information Management, Elsevier, vol. 33(5), pages 875-891.
    8. Werber Borut & Baggia Alenka & Žnidaršič Anja, 2018. "Factors Affecting the Intentions to Use RFID Subcutaneous Microchip Implants for Healthcare Purposes," Organizacija, Sciendo, vol. 51(2), pages 121-133, May.

    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:gam:jjrfmx:v:17:y:2024:i:8:p:353-:d:1455482. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.