Artificial Intelligence Technology to Predict the Financial Crisis in Business Companies

Mohamed Ahmed Hamada; Khaled M. K. Alhyasat

doi:10.55549/epstem.1406233

Conference Paper

Artificial Intelligence Technology to Predict the Financial Crisis in Business Companies

Year 2023, Volume: 24, 71 - 82, 30.11.2023

Mohamed Ahmed Hamada Khaled M. K. Alhyasat

https://doi.org/10.55549/epstem.1406233

Abstract

It is difficult to imagine a business in the modern world of digitization that does not use technology and artificial intelligence in some capacity. Business transformation brought a severe time of trouble for small and medium-sized enterprises all over the world. Throughout our study, we have based analysis on factual information that highlights the critical function that the Information Technology (IT) industry plays in maintaining corporate relevance and encouraging customer involvement. Our investigation goes beyond merely highlighting the value of using big data to analyze financial crises in a predictive manner. It also emphasizes the proactive incorporation of artificial intelligence (AI) into corporate operations as a preventive step to avoid them. Our study includes the examination of viewpoints from people who were actively involved in their careers before lockdown procedures were implemented and incorporated into our research the opinions of people who work for small and medium-sized businesses and government agencies. Based on the literature that already exists on the critical role that Artificial Intelligence (AI) plays in protecting companies from disasters, we looked closely at a particular case study. The case study's conclusions highlight how important corporate automation is. In this article, we provide case studies of well-known, globally renowned companies that demonstrate how they skillfully employ new technology to maintain their competitive position. These model organizations include both internationally recognized companies like Google and Facebook and local organizations like Sberbank. In conclusion, our research adopted an artificial intelligence framework that can help business organizations to predict problems and financial crises.

Keywords

Artificial intelligence , Information technology , Digitization , Financial crises , Developing

References

Agnihotri, R., Dingus, R., Hu, M. Y., & Krush, M. T. (2016). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management, 53, 172-180.
Agrawal, A., Gans, J., & Goldfarb, A. (Eds.). (2019). The economics of artificial intelligence: an agenda. University of Chicago Press.
Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26, 173-194.

Year 2023, Volume: 24, 71 - 82, 30.11.2023

Mohamed Ahmed Hamada Khaled M. K. Alhyasat

https://doi.org/10.55549/epstem.1406233

Abstract

References

Agnihotri, R., Dingus, R., Hu, M. Y., & Krush, M. T. (2016). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management, 53, 172-180.
Agrawal, A., Gans, J., & Goldfarb, A. (Eds.). (2019). The economics of artificial intelligence: an agenda. University of Chicago Press.
Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26, 173-194.

There are 3 citations in total.

Details

Primary Language	English
Subjects	Software Engineering (Other)
Journal Section	Articles
Authors	Mohamed Ahmed Hamada Khaled M. K. Alhyasat
Early Pub Date	December 18, 2023
Publication Date	November 30, 2023
Published in Issue	Year 2023 Volume: 24

Cite

APA	Hamada, M. A., & Alhyasat, K. M. K. (2023). Artificial Intelligence Technology to Predict the Financial Crisis in Business Companies. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 24, 71-82. https://doi.org/10.55549/epstem.1406233