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Article

Unlocking Business Value: Integrating AI-Driven Decision-Making in Financial Reporting Systems

by
Alin Emanuel Artene
1,*,
Aura Emanuela Domil
2 and
Larisa Ivascu
1
1
Management Department, Faculty of Management in Production and Transportation, Politehnica University of Timisoara, 14 Remus Street, 300009 Timisoara, Romania
2
Department of Accounting and Audit, Faculty of Economics and Business Administration, West University of Timisoara, 300223 Timisoara, Romania
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(15), 3069; https://doi.org/10.3390/electronics13153069
Submission received: 12 July 2024 / Revised: 24 July 2024 / Accepted: 30 July 2024 / Published: 2 August 2024
(This article belongs to the Section Artificial Intelligence)

Abstract

This research article investigates the synergies between artificial intelligence (AI), digital transformation (DT), and financial reporting systems within the business context. The central theme explores how organizations enhance their decision-making processes by integrating AI technologies into digital transformation initiatives, particularly in financial reporting. The focal point is comprehending how the synergy of these integrated systems can unlock substantial business value, instigate strategic innovation, and elevate overall financial analytics through the adoption of intelligent, data-driven decision-making methodologies. By harnessing advanced analytics, automation, and adaptive decision support capabilities, organizations navigate the complexities of a rapidly evolving business environment, in which neural networks emerge as a valuable tool for calibrating outcomes in the financial accounting environment, demonstrating effectiveness in processing complex financial data, identifying patterns, and making predictions, ushering in a new era of transformative possibilities. The introduction of a game theory payoff matrix in this AI decision-making tool adds a strategic framework for analyzing interactions among decision-makers, considering strategic choices and outcomes in a dynamic and competitive context.
Keywords: digital transformation; decision-making systems; integrated systems; neural networks; business financial reporting; game theory payoff matrix digital transformation; decision-making systems; integrated systems; neural networks; business financial reporting; game theory payoff matrix

Share and Cite

MDPI and ACS Style

Artene, A.E.; Domil, A.E.; Ivascu, L. Unlocking Business Value: Integrating AI-Driven Decision-Making in Financial Reporting Systems. Electronics 2024, 13, 3069. https://doi.org/10.3390/electronics13153069

AMA Style

Artene AE, Domil AE, Ivascu L. Unlocking Business Value: Integrating AI-Driven Decision-Making in Financial Reporting Systems. Electronics. 2024; 13(15):3069. https://doi.org/10.3390/electronics13153069

Chicago/Turabian Style

Artene, Alin Emanuel, Aura Emanuela Domil, and Larisa Ivascu. 2024. "Unlocking Business Value: Integrating AI-Driven Decision-Making in Financial Reporting Systems" Electronics 13, no. 15: 3069. https://doi.org/10.3390/electronics13153069

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