The Effects of Artificial Intelligence and Financial Technology Innovations on Corporate Structure in Joint Stock Companies

Authors

  • Pelin Atila Yörük Ankara University, Turkey

DOI:

https://doi.org/10.53103/cjess.v5i4.380

Keywords:

Artificial Intelligence (AI), FinTech, Joint Stock Companies, Digital Transformation, Corporate Governance

Abstract

This study examines in detail the effects of artificial intelligence (AI) and financial technologies (FinTech) on the corporate structure and financial processes of joint stock companies. In particular, issues such as the use of data analysis in decision-making processes, increased transparency and accuracy in financial reporting, strengthened investor confidence and compliance with regulatory rules come to the fore. While AI and FinTech offer significant benefits such as automation, cost reduction and competitive advantage for companies, they also facilitate access to global markets. However, with this digital transformation comes challenges such as data security issues, cyber risks and workforce transformation. Based on the examples of successful integration in the literature, it is concluded that companies should accelerate the digital transformation process and act in accordance with ethical rules. The overall conclusion of the study shows that AI and FinTech are of great importance for the sustainable growth and efficiency of joint stock companies.

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References

Abboud, A. H., Al-Jayed, M. N. H., and Al-Ardawe, A. A. K. (2024). The role of artificial intelligence in improving the quality of the tax accounting system for joint stock companies—An applied study in the general tax authority. International Journal of Studies in Business Management, Economics and Strategies, 3(4), 259–272.

Abduboqiyev, M. (2023). Prospects for improving the efficiency and management of the financial supply of joint stock companies of the republic of uzbekistan based on foreign experiences. Iqtisodiyot va taʼlim, 24(4), 82-93.

Akhtar, T. (2025). The role of FinTech on the relationship between ownership structure and dividend payments. International Journal of Finance and Economics, 30(1), 1–15. https://doi.org/10.1002/ijfe.1234

Al-Mahameed, M. (2024). Towards a legal framework for corporate governance amid artificial intelligence. Corporate Law and Governance Review, 6(3), 113–121. https://doi.org/10.22495/clgrv6i3p1225

Aloun, D. R. D. M. (2024). Legal differences between public joint stock companies and limited joint stock companies in Jordanian legislation. Journal of Research Ethics, 2(1), 1–15. https://iledu.in/

Al-Sulaiman, T. (2024). Review of recent research directions and practical implementation of low-frequency algorithmic trading. American Journal of Financial Technology and Innovation, 2(1), 1–14.

Arsakaev, I. S. (2020). Implementation of a risk-oriented approach as a direction for improving corporate control in a joint stock company. Economic Problems and Legal Practice, 16(5), 87–90.

Bognár, F., Szentes, B., and Benedek, P. (2022). Development of the PRISM risk assessment method based on a multiple AHP-TOPSIS approach. Risks, 10(11), 213. https://doi.org/10.3390/risks10110213

Burkhanov, A. U., Tursunov, B. O., Usmonov, B., and Mamayusupova, S. U. (2024). Assessment of financial security of joint-stock companies: The case of Uzbekistan. In Development of international entrepreneurship based on corporate accounting and reporting according to IFRS: Part B (pp. 205–213). Emerald Publishing Limited.

Cappa, F., Collevecchio, F., Oriani, R., and Peruffo, E. (2022). Banks responding to the digital surge through Open Innovation: Stock market performance effects of MandAs with fintech firms. Journal of Economics and Business, 121, 106079.

Carlini, F., Del Gaudio, B. L., Porzio, C., and Previtali, D. (2022). Banks, FinTech and stock returns. Finance Research Letters, 45, 102252.

Chykurkova, A., and Didukh, S. (2023). Theoretical and methodological basis for evaluating the efficiency of functioning of joint-stock companies in the system of their management. In D. Diachkov (Ed.), Management of the 21st century: Globalization challenges. Issue 4 (pp. 123-130). Nemoros s.r.o.

Dimitrijević, D., Milutinović, S., and Stanković, P. (2024). Determinants of the occurrence of financial distress in medium-sized and big public joint-stock companies. *Economic Horizons / Ekonomski Horizonti, 26*(3), 287 – 305

Dranev, Y., Frolova, K., and Ochirova, E. (2019). The impact of fintech MandA on stock returns. Research in International Business and Finance, 48, 353–364.

Faghihzadeh, S. S. (2025). Application of Artificial Intelligence in Predicting and Managing Financial Distress: A Case Study of Listed Companies in Iran. Journal of Knowledge Economy Studies (JKES), 2(1), 175-196.

Gozubuyuk, B. (2021). Possible contributions of artificial intelligence algorithms to the corporate management of joint stock companies. Hacettepe Law Review, 11(2), 345–362. https://dergipark.org.tr/tr/download/article-file/2280633

Hong, C. Y., Lu, X., and Pan, J. (2025). FinTech platforms and mutual fund distribution. Management Science, 71(1), 488-517.

Khalmuradov, E. D. (2024). Ways to transform corporate governance in joint-stock commercial banks. Bulletin of New Science Society International, 5(3), 112–125. https://cyberleninka.ru/article/n/ways-to-transform-corporate-governance-in-joint-stock-commercial-banks

Kholmuradovich, S. D. (2022). Theoretical principles of improving the modern corporate control system in joint stock companies. International journal of economic perspectives, 16(11), 90-97.

Li, Y., Spigt, R., and Swinkels, L. (2017). The impact of FinTech start-ups on incumbent retail banks’ share prices. Financial Innovation, 3, 1-16.

Lv, P., and Xiong, H. (2022). Can FinTech improve corporate investment efficiency? Evidence from China. Research in International Business and Finance, 60, 101571.

Makhmudov, S. B., and Mamarayimova, R. R. (2024). Uzbekistan Railways Joint Stock Company: The role of financial analysis in optimizing the efficiency of logistics corporate structures. Journal of Corporate Finance and Logistics, 1(9), 86-94.

Marquez-Tejon, J., Jimenez-Partearroyo, M., and Benito-Osorio, D. (2024). Organisational resilience management model: a case study of joint stock companies operating in Spain. International Entrepreneurship and Management Journal, 20(3), 1907-1934.

Mohamed, M. M. A., Abdullah, A. S. M., and Ahmed, M. A. A. A. (2024). The impact of using information technology on enhancing the quality of joint audit an empirical study in the Egyptian business environment. Faculty of Commerce, 1-21.

Nwogugu, M. C. (2016). Economic Policy, Corporate Governance and Fintech-Driven Decisions: The Case of Alibaba and the Cross-Listed Chinese Companies. Corporate Governance and Fintech-Driven Decisions: The Case of Alibaba and the Cross-Listed Chinese Companies.

Oktyabrevna, R. N. (2025, April). The role of innovation and technology in economic development and strategic management of joint-stock companies. In Proceedings of the International Conference on Interdisciplinary Science (Vol. 2, No. 4, pp. 41-44).

Saidakhmedova, A. M. (2024). Corporate Governance in Joint-Stock Companies: Challenges and Opportunities for Adopting International Standards. Development of International Entrepreneurship Based on Corporate Accounting and Reporting According to IFRS: Part A, 57-64.

Salokhiddinov, J. U. (2024). Enhancing stock exchanges: Exploring future prospects. Экономика и социум, (5-2(120)), 604-607.

Srayyih, F. H., Alshammari, A. A. I., Muttar, A. K., Aldulaimi, S., and Abdeldayem, M. M. (2024, December). Investment Decisions Impact on the Life Cycle of Joint Stock Companies: Insights from the Iraq Stock Exchange. In 2024 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 1-10). IEEE.

Sushkova, O. (2021). Legal forms and ways of application of artificial intelligence technology in making corporate decisions by the board of directors: Problems and prospects. SHS Web of Conferences, 106, 02012. https://doi.org/10.1051/shsconf/202110602012

Suyunova, D. D. (2024). Factors affecting the digitalization of corporate management in joint stock companies and scientific approaches to risk assessment. Экономика и социум, (11-1(126)), 534-539.

Tawakol, F. (2023). The Role of Artificial Intelligence in Voting inside Joint-Stock Company Meetings. J. Legal Ethical and Regul. Isses, 26, 1.

Ullah, I., Jebran, K., and Rahman, M. U. (2022). Impact of FinTech on stock price liquidity. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4260279

Vanney, C. E. (2024). Artificial intelligence within corporate structures: The case of Argentina's simplified joint stock companies. Copernican Journal of Law, 1, 91-114. https://doi.org/10.71042/CJL01202407

Wang, Y., Hu, J., and Chen, J. (2023). Does Fintech facilitate cross-border MandAs? Evidence from Chinese A-share listed firms. International Review of Financial Analysis, 85, 102435.

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Published

2025-07-07

How to Cite

Yörük, P. A. (2025). The Effects of Artificial Intelligence and Financial Technology Innovations on Corporate Structure in Joint Stock Companies. Canadian Journal of Educational and Social Studies, 5(4), 132–153. https://doi.org/10.53103/cjess.v5i4.380

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Articles