Quantitative Decision-Making Strategies

This chapter explores quantitative decision-making strategies by presenting a range of mathematical methods and models for refining decision quality in complex environments. First, quantitative techniques (QT) are outlined, followed by a discussion of their role in transforming raw data into practical, usable information through structured analysis. The chapter then discusses decision theory, optimization methods such as linear and goal programming, and tools for decision-making under uncertainty and risk. Furthermore, the application of quantitative tools in strategic management, including Quantitative Decision-Making in a VUCA Environment, is analyzed. In conclusion, the growing importance of digital transformation and decision support systems in improving evidence-based, responsible managerial decision-making is highlighted.