IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/125036.html

Artificial intelligence application and research in accounting, finance, economics, business, and management

Author

Listed:
  • Ozili, Peterson K

Abstract

Artificial intelligence is a branch of computer science that develop intelligent machines to perform human tasks. Recently, there is growing interest in AI applications in professions that have many processes that can be easily automated. There is widespread optimism that AI systems can lead to new innovations or improve existing processes. This study focuses on some applications of artificial intelligence in the accounting, finance, economics, business, and management profession. The study provides a basic understanding of how AI will be useful in the accounting, finance, economics, business and management professions. The study also offered some insights into the risks posed by the use of artificial intelligence.

Suggested Citation

  • Ozili, Peterson K, 2025. "Artificial intelligence application and research in accounting, finance, economics, business, and management," MPRA Paper 125036, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:125036
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/125036/1/MPRA_paper_125036.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Suleiman Jamal Mohammad & Amneh Khamees Hamad & Hela Borgi & Phung Anh Thu & Muhammad Safdar Sial & Ali Abdallah Alhadidi, 2020. "How Artificial Intelligence Changes the Future of Accounting Industry," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 478-488.
    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. Peng, Weike & Gao, Jiaxin & Chen, Yuntian & Wang, Shengwei, 2024. "Bridging data barriers among participants: Assessing the potential of geoenergy through federated learning," Applied Energy, Elsevier, vol. 367(C).
    2. Yuwei Yin & Yazheng Yang & Jian Yang & Qi Liu, 2023. "FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models," Papers 2308.00065, arXiv.org.
    3. Fazlija, Bledar & Ibraimi, Meriton & Forouzandeh, Aynaz & Fazlija, Arber, 2025. "Reasoning with financial regulatory texts via Large Language Models," Journal of Behavioral and Experimental Finance, Elsevier, vol. 47(C).
    4. Güler Koştı & İsmail Kayadibi, 2025. "A bibliometric analysis of artificial intelligence and machine learning applications for human resource management," Future Business Journal, Springer, vol. 11(1), pages 1-19, December.
    5. Mateja Gorenc, 2024. "Artificial Intelligence and Benford Law as Useful Tools for Detecting Accounting Fraud," MakeLearn 2024: Artificial Intelligence for Human-Technologies-Economy Sustainable Development,, ToKnowPress.
    6. Anup Kumar & Santosh Kumar Shrivastav & Avinash K. Shrivastava & Rashmi Ranjan Panigrahi & Abbas Mardani & Fausto Cavallaro, 2023. "Sustainable Supply Chain Management, Performance Measurement, and Management: A Review," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    7. Horobet, Alexandra & Boubaker, Sabri & Belascu, Lucian & Negreanu, Cristina Carmencita & Dinca, Zeno, 2024. "Technology-driven advancements: Mapping the landscape of algorithmic trading literature," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    8. Naeem, Muhammad Abubakr & Gul, Raazia & Arfaoui, Nadia & Bakry, Walid & Bhatti, Muhammad Ishaq, 2025. "Riding the storm: AI-driven spillover effects across technology, commodities, and conventional markets," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    9. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    10. Afaq Khattak & Hamad Almujibah & Ahmed Elamary & Caroline Mongina Matara, 2022. "Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    11. Naeem, Muhammad Abubakr & Karim, Sitara & Tiwari, Aviral Kumar, 2022. "Quantifying systemic risk in US industries using neural network quantile regression," Research in International Business and Finance, Elsevier, vol. 61(C).
    12. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
    13. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    14. Duan, Huayou & Zhao, Chenchen & Wang, Lu & Liu, Guangqiang, 2024. "The relationship between renewable energy attention and volatility: A HAR model with markov time-varying transition probability," Research in International Business and Finance, Elsevier, vol. 71(C).
    15. Mukherjee, Debmalya & Lim, Weng Marc & Kumar, Satish & Donthu, Naveen, 2022. "Guidelines for advancing theory and practice through bibliometric research," Journal of Business Research, Elsevier, vol. 148(C), pages 101-115.
    16. Heller, Yuval & Tubul, Itay, 2023. "Strategies in the repeated prisoner’s dilemma: A cluster analysis," MPRA Paper 117444, University Library of Munich, Germany.
    17. Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2023. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3313-3335, June.
    18. Ayadi, Imen & Abderrahman, Jahmane, 2025. "The impact of economic policy uncertainty and digital integration on ESG practices in European companies," Research in International Business and Finance, Elsevier, vol. 76(C).
    19. Samet Gunay & Emrah Ismail Cevik & Dávid Zoltán Szabó, 2025. "Engagement of true intelligence in financial forecasting: interactions of blockchained sectors and artificial intelligence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    20. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:125036. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.