Abstract
This study proposes a novel framework for integrating generative artificial intelligence (AI) into management accounting to enhance decision-making using data science technologies. It is imperative for companies to make swift and strategic decisions in an increasingly uncertain business environment. Traditional management accounting methods rely on historical data and provide limited support for real-time decision making. However, by using generative AI, simulations, predictive analyses, decision-making processes, and scenario analyses based on company-specific synthetic data become feasible, thereby enhancing flexibility and accuracy in management. Furthermore, by incorporating the principles of cybernetics theory, this study explores how generative AI can strengthen real-time feedback loops in management accounting, enabling dynamic adjustments to business strategies. This study presents a specific methodology for leveraging generative AI to enable companies to predict future risks and competitive trends, thereby supporting strategic responses. Additionally, it examines the challenges and limitations associated with implementing generative AI and suggests directions for future research. Ultimately, this research offers a new approach for companies to support rapid, data-driven strategic decision-making, paving a path for management accounting to strengthen competitive advantage in a dynamic market environment.
