Optimizing Business Forecasting through Human-AI Decision Fusion: A Theoretical Framework and Simulation Study
Presented at International Conference on Information Systems (ICIS), 2025
This paper presents a theoretical framework and simulation study on optimizing business forecasting through human-AI decision fusion. The research explores how to effectively combine human judgment with AI predictions to improve forecasting accuracy and decision-making quality.
Presented at: International Conference on Information Systems (ICIS) 2025, Nashville, TN, USA
Recommended citation: Wang, S. (2025). "Optimizing Business Forecasting through Human-AI Decision Fusion: A Theoretical Framework and Simulation Study." International Conference on Information Systems (ICIS), Nashville, TN, USA.
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