Trends and Prospects for Artificial Intelligence in Business and Economics Research

Authors

  • Priti Rai Research Scholar of Management Dept. in Shri Krishna University, Chhatarpur, M.P.
  • Roshni Jaiswal Assistant Professor of Business Administration Dept. in Ashoka Institute of Technology & Management, Varanasi
  • Pallavi Singh Assistant Professor of Business Administration Dept. in Ashoka Institute of Technology & Management, Varanasi
  • Amit Kumar Singh Assistant Professor of Business Administration Dept. in Ashoka Institute of Technology & Management, Varanasi

DOI:

https://doi.org/10.69968/ijisem.2024v3si2341-344

Keywords:

Artificial intelligence, business, economics, bibliometrics, research trends, decision-making

Abstract

The 20th century saw the development of artificial intelligence, a revolutionary technology that has evolved quickly and is now the foundation for commercial solutions to challenging issues. Concepts like deep learning, machine learning, or neural networks are now linked to phrases like industry 4.0, digital marketing, and company digital transformation. As economic organizations discover the competitive advantages of using Artificial Intelligence, interest in this technology will grow. Examining the most recent studies on artificial intelligence in business is the goal of this study. The Web of Science and Scopus online databases have been used to conduct a bibliometric analysis in order to achieve this goal. This report identifies 11 clusters and the most commonly used phrases in artificial intelligence research using a fractional counting method. This paper highlights the key developments in business AI research and suggests directions for future investigation.

References

[1] Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of political economy, 128(6), 2188-2244. https://doi.org/10.1086/705716

[2] Binns, R. (2018, January). Fairness in machine learning: Lessons from political philosophy. In Conference on fairness, accountability and transparency (pp. 149-159). PMLR.

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[4] McAfee, A., & Brynjolfsson, E. (2017). Machine, platform, crowd: Harnessing our digital future. WW Norton & Company.

[5] Varian, H. R. (2019). Recent Trends in Concentration, Competition, and Entry. Antitrust Law Journal, 82(3), 807-834

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Published

31-12-2024

Issue

Vol 3 Special Issue 2

Section

Articles

License

Copyright (c) 2024 Priti Rai, Roshni Jaiswal, Pallavi Singh, Amit Kumar Singh

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.

How to Cite

[1]
Priti Rai et al. 2024. Trends and Prospects for Artificial Intelligence in Business and Economics Research. International Journal of Innovations in Science, Engineering And Management. 3, 2 (Dec. 2024), 341–344. DOI:https://doi.org/10.69968/ijisem.2024v3si2341-344.
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