AI-Based Neural Network Used to Enhance the Decision-Making System to Improve Operational Performance

This study analyzes the intended alignment of presentation and information technology (IT) objectives, providing a framework for decision makers in operations and production to improve operational performance. A unique decision-making framework was developed using the integrated methodologies, which were based on a thorough literature assessment. Using information gathered from 242 managers across different sectors, test the hypothesized correlations in an SEM model. To determine if the combined tactics are optimum, a decision-making framework is fed data from artificial neural networks (ANN), which is an AI-based approach. The findings show that (a) marketing strategy has a favourable effect on performance via IT strategy and (b) organizational structure moderates this effect. The results show that the suggested framework yields better results than the current techniques when applied to the extracted strategies. This work adds to the existing body of knowledge by posing the question of how marketing strategy mediates between IT strategy, performance, and operational decision-making and conducting empirical tests to evaluate this hypothesis. Manufacturing other complex businesses might benefit from a new three-stage decision-making framework that makes use of AI processes to boost operational efficiency, insight, and decision accuracy when faced with strategic-level difficulties. Effective decision-making by operations executives may be aided by this.