THE DIGITAL RENAISSANCE IN CORPORATE FINANCE: INTEGRATING ARTIFICIAL INTELLIGENCE FOR ADAPTIVE DECISION-MAKING
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Abstract
The integration of digital technologies into corporate finance represents a fundamental shift in how firms manage investment, financing, and value enhancement. As the digital revolution reshapes transaction models and production factors, traditional economic theories are being challenged by the computational capabilities of Artificial Intelligence (AI). This paper explores the intersection of corporate finance and digital transformation, proposing a novel framework that leverages AI for decision-making under uncertainty. We analyze the limitations of existing rational economic models and introduce a methodology that incorporates probabilistic judgment, simulation-based game theory, and creative problem-solving mechanisms. By synthesizing insights from bibliometric analyses of digital transformation and technical AI advancements, we argue that the future of corporate finance relies on systems capable of navigating "off-nominal" market anomalies while maintaining explainability and ethical governance
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CC BY-NC 4.0
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Volume 02, Issue 02
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2
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Research Article
Publication Date:
Feb 28 2026
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Pachori, D. S. (2026). The Digital Renaissance in Corporate Finance: Integrating Artificial Intelligence for Adaptive Decision-Making. International Journal of Science, Strategic Management and Technology, 02(02). https://doi.org/10.55041/ijsmt.v2i2.019
Pachori, Dr. "The Digital Renaissance in Corporate Finance: Integrating Artificial Intelligence for Adaptive Decision-Making." International Journal of Science, Strategic Management and Technology, vol. 02, no. 02, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.019.
Pachori, Dr. "The Digital Renaissance in Corporate Finance: Integrating Artificial Intelligence for Adaptive Decision-Making." International Journal of Science, Strategic Management and Technology 02, no. 02 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.019.
References
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2.Marwala, Tshilidzi, & Hurwitz, Evan (2017). Artificial Intelligence and Economic Theories. https://arxiv.org/pdf/1703.06597v1 https://arxiv.org/pdf/1703.06597v1
3.Gizzi, Evana, Nair, Lakshmi, Chernova, Sonia, & Sinapov, Jivko (2022). Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework. Journal of Artificial Intelligence Research 2022. https://doi.org/10.1613/jair.1.13864 https://doi.org/10.1613/jair.1.13864
4.Labarta, Tobias, Kulicheva, Elizaveta, Froelian, Ronja, Geißler, Christian, Melman, Xenia, & Klitzing, Julian von (2024). Study on the Helpfulness of Explainable Artificial Intelligence. Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2156. https://doi.org/10.1007/978-3-031-63803-9_16 https://doi.org/10.1007/978-3-031-63803-9_16
5.Shafer, Glenn (2013). Probability Judgement in Artificial Intelligence. https://arxiv.org/pdf/1304.3429v1 https://arxiv.org/pdf/1304.3429v1
6.Hu, Chengpeng, Zhao, Yunlong, Wang, Ziqi, Du, Haocheng, & Liu, Jialin (2023). Games for Artificial Intelligence Research: A Review and Perspectives. https://arxiv.org/pdf/2304.13269v4 https://arxiv.org/pdf/2304.13269v4
7.Bennett, Casey C., & Hauser, Kris (2013). Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach. Artificial Intelligence in Medicine. 57(1): 9-19. (2013). https://doi.org/10.1016/j.artmed.2012.12.003 https://doi.org/10.1016/j.artmed.2012.12.003
8.Zeng, Yi, Lu, Enmeng, & Huangfu, Cunqing (2018). Linking Artificial Intelligence Principles. https://arxiv.org/pdf/1812.04814v1 https://arxiv.org/pdf/1812.04814v1
9.Bharati, Subrato, Mondal, M. Rubaiyat Hossain, & Podder, Prajoy (2023). A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?. IEEE Transactions on Artificial Intelligence, 2023. https://doi.org/10.1109/TAI.2023.3266418 https://doi.org/10.1109/TAI.2023.3266418
10.Mattar, Marwan, Mottaghi, Roozbeh, Togelius, Julian, & Lange, Danny (2019). AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence. https://arxiv.org/pdf/1903.02172v1 https://arxiv.org/pdf/1903.02172v1
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