Quantitative Matrix Tools in Managerial Decision-Making: A Proposed Mathematical Model to Address the Challenges of the Changing Business Environment

Abstract

This study aims to analyze the advanced role of quantitative matrix tools in improving the quality of managerial decision-making within contemporary business environments characterized by complexity, uncertainty, and rapid change. Building on the research gap reflected in the limited availability of integrated matrix-based models capable of combining quantitative and qualitative criteria within a unified analytical framework, the study seeks to develop a proposed mathematical model based on Multi-Criteria Decision-Making (MCDM) approaches to support strategic managerial decisions. The study adopts a quantitative analytical methodology, supported by a systematic review of recent academic literature, and applies the proposed model to simulated data representing realistic business environment scenarios. The results indicate that the use of quantitative matrices effectively reduces subjective bias in decision-making, enhances logical consistency between objectives and alternatives, and improves transparency compared to traditional approaches. The findings also demonstrate that the proposed model exhibits a high degree of flexibility, making it applicable across various organizational contexts, while contributing to stronger integration between mathematical analysis and managerial theory. Accordingly, the study recommends adopting quantitative matrix tools as a scientific approach to supporting strategic decisions in order to enhance managerial efficiency and effectiveness in dynamic business environments.