Leveraging artificial neural networks and analytical hierarchy process for business strategy evaluation in banking

Professor Clara Tan — Tue, 01 Apr 2025 00:00:00 +0000

This study explores the integration of Artificial Neural Network (ANN) and Analytical Hierarchy Process (AHP) as a tool for estimating and evaluating the business strategy of banks. The increasing complexity and dynamism of the banking industry necessitate the use of advanced decision-making techniques that can process large amounts of data and provide insightful recommendations for strategic decisions. In this research, AHP is employed to prioritize various factors influencing business strategy, while ANN is used to model the relationship between these factors and the bank's performance. By integrating these two techniques, this paper aims to provide a robust model that helps in estimating the effectiveness of different business strategies in the banking sector. The results demonstrate that the ANN-AHP integration can offer valuable insights for strategy formulation, improve decision-making accuracy, and enhance business performance in a competitive banking environment.

European International Journal of Multidisciplinary Research and Management Studies

Leveraging artificial neural networks and analytical hierarchy process for business strategy evaluation in banking