Anis Benabed – Doctoral School of Economics and International Business, Bucharest University of Economic Studies, 6 Romana square, Bucharest, Romania

Andreea Boeru – Doctoral School of Economics and International Business, Bucharest University of Economic Studies, 6 Romana square, Bucharest, Romania

Keywords:
Globalization;
Stock market;
Artificial intelligence;
Impact;
Challenging business;
Business opportunities

DOI: https://doi.org/10.31410/LIMEN.2022.1

Abstract

This paper presents and describes the globalization-influenced stock market and business trends. Globalization introduces profound changes and challenges in development conditions. This pattern is mani­fested in the economic and business spheres. Indeed, Globalization dictates its laws, one of its fundamental characteristics is the internationalization of production, financial markets and the free movement of capital across na­tional borders.

As a methodology for this study, we reviewed the existing literature, which was the first step in our research and focused on data analysis as well. The results show that since artificial intelligence, businesses and the stock mar­ket are phenomena, elements and some of the results of Globalization, we found out that all of them are connected, especially after the appearance and integration of digitalization that facilitates more opportunities be­tween the traders and the stock market.

The conclusions show that in stages of globalization, the growth of artificial intelligence and other forms of automated technology are necessary for the stock market. Artificial intelligence is necessary for business operations and trade opportunities, on the other hand by using it more it becomes more in­telligent. All this is important for the Stock market because globalizing the stock market needs artificial intelligence (AI), business opportunities and op­erations that are challenging from one market to another.

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LIMEN Conference

8th International Scientific-Business Conference – LIMEN 2022 – Leadership, Innovation, Management and Economics: Integrated Politics of Research – CONFERENCE PROCEEDINGS, Hybrid (EXE Budapest Center, Budapest, Hungary), December 1, 2022,

LIMEN Conference proceedings published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia

LIMEN Conference 2022 Conference proceedings: ISBN 978-86-80194-66-0, ISSN 2683-6149, DOI:  https://doi.org/10.31410/LIMEN.2022

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Suggested citation

Benabed, A., & Boeru, A. (2022). Globalization of the Stock Market and the Impact of Artificial Intelligence on Challenging Businesses. In V. Bevanda (Ed.), International Scientific-Business Conference – LIMEN 2022: Vol 8. Conference proceedings (p. 1-9). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/LIMEN.2022.1

References

Bhoocha-oom, A., & Stansell, S. R. (1990). A STUDY OF INTERNATIONAL FINANCIAL MARKET INTEGRATION: AN EXAMINATION OF THE U.S., HONG KONG AND SINGAPORE MARKETS. Journal of Business Finance & Accounting, 17(2), 193-211. https://doi.org/10.1111/j.1468-5957.1990.tb00557.x

Dagnaw, G. (2020). Artificial Intelligence Towards Future Industrial Opportunities and Challenges. African Conference on Information Systems and Technology, 16th ser. https://digitalcommons.kennesaw.edu/acist/2020/allpapers/16

Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review https://www.bizjournals.com/boston/news/2018/01/09/hbr-artificial-in- telligence-for-the-real-world.html

Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial Intelligence and Business Value: A literature review. Information Systems Frontiers, 24(5), 1709-1734. doi:10.1007/s10796-021-10186-w

Ferreira, F. G., Gandhi, A. H., & Cardoso, R. T. (2021). Artificial Intelligence Applied to Stock Market Trading: A Review. IEEE Access, 30898-30917. https://doi.org/10.1109/ ACCESS.2021.3058133

Gonzales, M. D, R., & Hargreaves, C. A. (2022). How can we use Artificial Intelligence for Stock Recommendation and risk management? A proposed decision support system. In- ternational Journal of Information Management Data Insights, 2(2), 100130. https://doi.org/10.1016/j.jjimei.2022.100130

Harkut, G. D., & Kasat, K. (2019). Introductory Chapter: Artificial Intelligence – Challenges and Applications. Artificial Intelligence – Scope and Limitations. doi:10.5772/intechopen.84624 Mohapatra, B. N., Nagargoje, B., Zurunge, P., & More, S. (2021). Artificial Intelligence in stock market investment. Journal of Engineering Science, 28(3), 96-100. https://doi.org/10.52326/jes.utm.2021.28(3).08

Wilson, H. J., & Daugherty, P. R. (2018). Human + Machine: Reimagining Work in the Age of AI. Boston, MA: Harvard Business Review Press.

 Additional reading

Blackman, S. C., Holden, K. & Thomas, W. A. (1994). “Long-term relationship between inter- national share prices”, Applied Economics, Vol. 4, pp. 297-304.

Brendel, A. B., Mirbabaie, M., Lembcke, T., & Hofeditz, L. (2021). Ethical management of arti- ficial intelligence. Sustainability, 13(4), 1974. https://doi.org/10.3390/su13041974

Brynjolfsson, A & McAfee, A (2017). What’s Driving the Machine Learning Explosion? Three factors make this AI’s moment. Harvard Business Review Digital Articles.

Chalmers, D., MacKenzie, N. G., & Carter, S. (2021). ‘Artificial Intelligence and Entrepreneur- ship: Implications for Venture Creation in the Fourth Industrial Revolution’, Entrepreneur- ship Theory and Practice, 45(5), pp. 1028–1053. https://doi.org/10.1177/1042258720934581.

Chan, K. C., Gup, B. E. & Pan, M. S. (1992). “An empirical analysis of stock prices in major Asian markets and the United States”, The Financial Review, Vol. 27, pp. 289-307.

Cheung, Y. & Mak, S. (1992). “The international transmission of stock market fluctuation be- tween the developed markets and the Asian-Pacific markets”, Applied Financial Econom- ics, Vol. 2, pp. 43-7.

Coleman, M. (1990), “Cointegration-based tests of daily foreign exchange market efficiency”, Economic Letters, Vol. 32, pp. 53-9.

Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of artificial intelligence in automation of Supply Chain Management. Journal of Strategic Innovation and Sustain- ability, 14(3). https://doi.org/10.33423/jsis.v14i3.2105

Jorion, P. & Schwartz, E. (1986). “Integration versus segregation in the Canadian stock market”, Journal of Finance, Vol. XLI, pp. 603-16.

Joshi, R. M. (2009). International business. New Delhi: Oxford University Press. ISBN 978- 0-19-568909-9. “Globalized economy making water, energy and land insecurity worse: study”.

Neal, L. (2005). “Venture Shares of the Dutch East India Company”, in Goetzmann & Rouwen- horst (eds.), Oxford University Press, 2005, pp. 165–175

Puaschunder, J. M. (n.d.) ‘Artificial Intelligence Market Disruption’, p. 7.

Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2022). ‘Artificial Intelligence Gov- ernance For Businesses’, Information Systems Management, pp. 1–21: https://doi.org/10.1 080/10580530.2022.2085825

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